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    <itunes:summary>Making artificial intelligence practical, productive &amp; accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs &amp; more).

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    <itunes:subtitle>Making artificial intelligence practical, productive &amp; accessible to everyone.</itunes:subtitle>
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      <title>Agentic Coding and the Economics of Open Source</title>
      <itunes:episode>351</itunes:episode>
      <podcast:episode>351</podcast:episode>
      <itunes:title>Agentic Coding and the Economics of Open Source</itunes:title>
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        <![CDATA[<p>AI is rapidly transforming how software is built, shifting economic incentives from open source code and collaboration toward on-demand, personalized development through agentic coding a.k.a. vibe coding. In this episode, Chris speaks with Miklós Koren of Central European University about how AI is reshaping open source and the software industry. They explore the economics of incentives, evolving collaboration patterns, and what this shift means for software development, the future of AI, and its broader impact on the technology sector.</p><p>Featuring:</p><ul><li>Miklós Koren –<a href="https://www.linkedin.com/in/miklos-koren-b535a42a/"> LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Links:</p><ul><li><a href="https://koren.mk/publications/vibe-coding">Vibe Coding Kills Open Source</a></li><li><a href="https://koren.mk/publications/directions">The Directions of Technical Change</a></li><li><a href="https://www.businessinsider.com/tailwind-engineer-layoffs-ai-github-2026-1">The Tailwind story</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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        <![CDATA[<p>AI is rapidly transforming how software is built, shifting economic incentives from open source code and collaboration toward on-demand, personalized development through agentic coding a.k.a. vibe coding. In this episode, Chris speaks with Miklós Koren of Central European University about how AI is reshaping open source and the software industry. They explore the economics of incentives, evolving collaboration patterns, and what this shift means for software development, the future of AI, and its broader impact on the technology sector.</p><p>Featuring:</p><ul><li>Miklós Koren –<a href="https://www.linkedin.com/in/miklos-koren-b535a42a/"> LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Links:</p><ul><li><a href="https://koren.mk/publications/vibe-coding">Vibe Coding Kills Open Source</a></li><li><a href="https://koren.mk/publications/directions">The Directions of Technical Change</a></li><li><a href="https://www.businessinsider.com/tailwind-engineer-layoffs-ai-github-2026-1">The Tailwind story</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <pubDate>Thu, 02 Apr 2026 05:00:00 -0400</pubDate>
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        <![CDATA[<p>AI is rapidly transforming how software is built, shifting economic incentives from open source code and collaboration toward on-demand, personalized development through agentic coding a.k.a. vibe coding. In this episode, Chris speaks with Miklós Koren of Central European University about how AI is reshaping open source and the software industry. They explore the economics of incentives, evolving collaboration patterns, and what this shift means for software development, the future of AI, and its broader impact on the technology sector.</p><p>Featuring:</p><ul><li>Miklós Koren –<a href="https://www.linkedin.com/in/miklos-koren-b535a42a/"> LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Links:</p><ul><li><a href="https://koren.mk/publications/vibe-coding">Vibe Coding Kills Open Source</a></li><li><a href="https://koren.mk/publications/directions">The Directions of Technical Change</a></li><li><a href="https://www.businessinsider.com/tailwind-engineer-layoffs-ai-github-2026-1">The Tailwind story</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
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      <title>AI at the Edge is a different operating environment</title>
      <itunes:episode>350</itunes:episode>
      <podcast:episode>350</podcast:episode>
      <itunes:title>AI at the Edge is a different operating environment</itunes:title>
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        <![CDATA[<p>What does “AI at the edge” really mean in 2026, and why does it matter now more than ever before? In this episode, we’re joined by Brandon Shibley, Edge AI Solutions Engineering Lead at Qualcomm’s Edge Impulse, to discuss the current state and future of Edge AI in 2026. We discuss Gen AI, Small Models, and Cascades of Models, along with real-world constraints like latency, power, and privacy. We also dive into the role of MLOps, evolving hardware, and how developers can start building practical edge AI systems today.</p><p>Featuring:</p><ul><li>Brandon Shibley –<a href="https://www.linkedin.com/in/shibley/"> LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.edgeimpulse.com/ebooks/the-ultimate-guide-to-edge-ai?utm_medium=inbound&amp;utm_source=organic-social&amp;utm_campaign=40531789-Q22026_practicalai_podcast">Read our Ultimate Guide to Edge AI</a></li><li>Download your copy of <a href="https://www.edgeimpulse.com/ai-at-the-edge?utm_medium=inbound&amp;utm_source=organic-social&amp;utm_campaign=40531789-Q22026_practicalai_podcast">O'Reilly's AI at the Edge</a> </li><li>Check out the Edge Impulse <a href="https://www.edgeimpulse.com/blog?utm_medium=inbound&amp;utm_source=organic-social&amp;utm_campaign=40531789-Q22026_practicalai_podcast">blog</a></li><li>Sign-up for an <a href="https://www.edgeimpulse.com/expert-led-trial?utm_medium=inbound&amp;utm_source=organic-social&amp;utm_campaign=40531789-Q22026_practicalai_podcast">expert led trial </a>of Edge Impulse</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <content:encoded>
        <![CDATA[<p>What does “AI at the edge” really mean in 2026, and why does it matter now more than ever before? In this episode, we’re joined by Brandon Shibley, Edge AI Solutions Engineering Lead at Qualcomm’s Edge Impulse, to discuss the current state and future of Edge AI in 2026. We discuss Gen AI, Small Models, and Cascades of Models, along with real-world constraints like latency, power, and privacy. We also dive into the role of MLOps, evolving hardware, and how developers can start building practical edge AI systems today.</p><p>Featuring:</p><ul><li>Brandon Shibley –<a href="https://www.linkedin.com/in/shibley/"> LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.edgeimpulse.com/ebooks/the-ultimate-guide-to-edge-ai?utm_medium=inbound&amp;utm_source=organic-social&amp;utm_campaign=40531789-Q22026_practicalai_podcast">Read our Ultimate Guide to Edge AI</a></li><li>Download your copy of <a href="https://www.edgeimpulse.com/ai-at-the-edge?utm_medium=inbound&amp;utm_source=organic-social&amp;utm_campaign=40531789-Q22026_practicalai_podcast">O'Reilly's AI at the Edge</a> </li><li>Check out the Edge Impulse <a href="https://www.edgeimpulse.com/blog?utm_medium=inbound&amp;utm_source=organic-social&amp;utm_campaign=40531789-Q22026_practicalai_podcast">blog</a></li><li>Sign-up for an <a href="https://www.edgeimpulse.com/expert-led-trial?utm_medium=inbound&amp;utm_source=organic-social&amp;utm_campaign=40531789-Q22026_practicalai_podcast">expert led trial </a>of Edge Impulse</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 25 Mar 2026 14:59:43 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>2819</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>What does “AI at the edge” really mean in 2026, and why does it matter now more than ever before? In this episode, we’re joined by Brandon Shibley, Edge AI Solutions Engineering Lead at Qualcomm’s Edge Impulse, to discuss the current state and future of Edge AI in 2026. We discuss Gen AI, Small Models, and Cascades of Models, along with real-world constraints like latency, power, and privacy. We also dive into the role of MLOps, evolving hardware, and how developers can start building practical edge AI systems today.</p><p>Featuring:</p><ul><li>Brandon Shibley –<a href="https://www.linkedin.com/in/shibley/"> LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.edgeimpulse.com/ebooks/the-ultimate-guide-to-edge-ai?utm_medium=inbound&amp;utm_source=organic-social&amp;utm_campaign=40531789-Q22026_practicalai_podcast">Read our Ultimate Guide to Edge AI</a></li><li>Download your copy of <a href="https://www.edgeimpulse.com/ai-at-the-edge?utm_medium=inbound&amp;utm_source=organic-social&amp;utm_campaign=40531789-Q22026_practicalai_podcast">O'Reilly's AI at the Edge</a> </li><li>Check out the Edge Impulse <a href="https://www.edgeimpulse.com/blog?utm_medium=inbound&amp;utm_source=organic-social&amp;utm_campaign=40531789-Q22026_practicalai_podcast">blog</a></li><li>Sign-up for an <a href="https://www.edgeimpulse.com/expert-led-trial?utm_medium=inbound&amp;utm_source=organic-social&amp;utm_campaign=40531789-Q22026_practicalai_podcast">expert led trial </a>of Edge Impulse</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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      <title>Humility in the Age of Agentic Coding</title>
      <itunes:episode>349</itunes:episode>
      <podcast:episode>349</podcast:episode>
      <itunes:title>Humility in the Age of Agentic Coding</itunes:title>
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        <![CDATA[<p>What happens when an AI hater starts building with AI agents? In this episode, we talk with software engineer Steve Klabnik, known for his work on the Rust programming language, about his journey from criticizing AI to experimenting with it firsthand. We explore Steve’s programming language Rue, largely built with the help of AI tools like Claude, and discuss what this means for software engineering and the future of coding in an AI-driven world.</p><p>Featuring:</p><ul><li>Steve Klabnik –<a href="https://www.linkedin.com/in/steve-klabnik/"> LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://doc.rust-lang.org/book/title-page.html#the-rust-programming-language">The Rust Programming Language</a></li><li><a href="https://rust-lang.org/">Rust</a></li><li><a href="https://rue-lang.dev/">Rue</a></li><li><a href="https://meetings.hubspot.com/catherine-katie/rsa-cyber-expo-start-up-march-23">Daniel's RSA Meeting link for March 23, 2026</a></li><li><a href="https://meetings.hubspot.com/catherine-katie/rsa-superprime-booking">Daniel's RSA Meeting link for March 24-25, 2026</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>What happens when an AI hater starts building with AI agents? In this episode, we talk with software engineer Steve Klabnik, known for his work on the Rust programming language, about his journey from criticizing AI to experimenting with it firsthand. We explore Steve’s programming language Rue, largely built with the help of AI tools like Claude, and discuss what this means for software engineering and the future of coding in an AI-driven world.</p><p>Featuring:</p><ul><li>Steve Klabnik –<a href="https://www.linkedin.com/in/steve-klabnik/"> LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://doc.rust-lang.org/book/title-page.html#the-rust-programming-language">The Rust Programming Language</a></li><li><a href="https://rust-lang.org/">Rust</a></li><li><a href="https://rue-lang.dev/">Rue</a></li><li><a href="https://meetings.hubspot.com/catherine-katie/rsa-cyber-expo-start-up-march-23">Daniel's RSA Meeting link for March 23, 2026</a></li><li><a href="https://meetings.hubspot.com/catherine-katie/rsa-superprime-booking">Daniel's RSA Meeting link for March 24-25, 2026</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <pubDate>Tue, 17 Mar 2026 10:29:29 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>3326</itunes:duration>
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        <![CDATA[<p>What happens when an AI hater starts building with AI agents? In this episode, we talk with software engineer Steve Klabnik, known for his work on the Rust programming language, about his journey from criticizing AI to experimenting with it firsthand. We explore Steve’s programming language Rue, largely built with the help of AI tools like Claude, and discuss what this means for software engineering and the future of coding in an AI-driven world.</p><p>Featuring:</p><ul><li>Steve Klabnik –<a href="https://www.linkedin.com/in/steve-klabnik/"> LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://doc.rust-lang.org/book/title-page.html#the-rust-programming-language">The Rust Programming Language</a></li><li><a href="https://rust-lang.org/">Rust</a></li><li><a href="https://rue-lang.dev/">Rue</a></li><li><a href="https://meetings.hubspot.com/catherine-katie/rsa-cyber-expo-start-up-march-23">Daniel's RSA Meeting link for March 23, 2026</a></li><li><a href="https://meetings.hubspot.com/catherine-katie/rsa-superprime-booking">Daniel's RSA Meeting link for March 24-25, 2026</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>AI policy and the battle for computing power</title>
      <itunes:episode>348</itunes:episode>
      <podcast:episode>348</podcast:episode>
      <itunes:title>AI policy and the battle for computing power</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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        <![CDATA[<p>AI is reshaping global power, from chip manufacturing and computing power to AI governance and US-China relations.  In this episode, Ben Buchanan, Assistant Professor at The Johns Hopkins University and former White House Special Advisor for AI, explores how AI policy, geopolitics, and international cooperation intersect with AI  innovation and AI safety. We discuss the strategic importance of computing power, the future of AI governance, and what it will take for democracies to lead responsibly in the age of AI.</p><p>Featuring:</p><ul><li>Ben Buchanan –<a href="https://www.linkedin.com/in/buchananbenjamin/"> LinkedIn</a> </li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.foreignaffairs.com/united-states/artificial-intelligence-grand-bargain-buchanan-collins">The AI Grand Bargain</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>AI is reshaping global power, from chip manufacturing and computing power to AI governance and US-China relations.  In this episode, Ben Buchanan, Assistant Professor at The Johns Hopkins University and former White House Special Advisor for AI, explores how AI policy, geopolitics, and international cooperation intersect with AI  innovation and AI safety. We discuss the strategic importance of computing power, the future of AI governance, and what it will take for democracies to lead responsibly in the age of AI.</p><p>Featuring:</p><ul><li>Ben Buchanan –<a href="https://www.linkedin.com/in/buchananbenjamin/"> LinkedIn</a> </li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.foreignaffairs.com/united-states/artificial-intelligence-grand-bargain-buchanan-collins">The AI Grand Bargain</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 09 Mar 2026 09:27:19 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
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      <itunes:duration>2934</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>AI is reshaping global power, from chip manufacturing and computing power to AI governance and US-China relations.  In this episode, Ben Buchanan, Assistant Professor at The Johns Hopkins University and former White House Special Advisor for AI, explores how AI policy, geopolitics, and international cooperation intersect with AI  innovation and AI safety. We discuss the strategic importance of computing power, the future of AI governance, and what it will take for democracies to lead responsibly in the age of AI.</p><p>Featuring:</p><ul><li>Ben Buchanan –<a href="https://www.linkedin.com/in/buchananbenjamin/"> LinkedIn</a> </li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.foreignaffairs.com/united-states/artificial-intelligence-grand-bargain-buchanan-collins">The AI Grand Bargain</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://practicalai.fm/people/ben-buchanan" img="https://img.transistorcdn.com/FanrSJ8ZWNRxhDROHyBKzRQdxppqap117soqYE1FIRI/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yNDVh/N2NkM2UyMDc1Mzg0/MTVmYWY5OTNmY2E2/YzZhZi5qcGc.jpg">Ben Buchanan</podcast:person>
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    <item>
      <title>Cognitive Synthesis and Neural Athletes</title>
      <itunes:episode>347</itunes:episode>
      <podcast:episode>347</podcast:episode>
      <itunes:title>Cognitive Synthesis and Neural Athletes</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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        <![CDATA[<p>As AI accelerates innovation and adoption, leaders are facing rising cognitive load, shifting systems, and new emotional realities inside their organizations. In this episode, Deloitte’s Chief Innovation Officer Deborah Golden joins us to explore how AI is reshaping leadership, why vulnerability and empathy are critical in this moment, and how anti-fragility, not just resilience, will define the future of work.</p><p>Featuring:</p><ul><li>Deborah Golden –<a href="https://www.linkedin.com/in/deborah-golden/"> LinkedIn</a> </li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.deloitte.com/global/en.html">Deloitte</a></li></ul><p>Sponsor:</p><ul><li> Framer - The website builder that turns your dot com from a formality into a tool for growth. Check it out at <a href="http://framer.com/PRACTICALAI">framer.com/PRACTICALAI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>As AI accelerates innovation and adoption, leaders are facing rising cognitive load, shifting systems, and new emotional realities inside their organizations. In this episode, Deloitte’s Chief Innovation Officer Deborah Golden joins us to explore how AI is reshaping leadership, why vulnerability and empathy are critical in this moment, and how anti-fragility, not just resilience, will define the future of work.</p><p>Featuring:</p><ul><li>Deborah Golden –<a href="https://www.linkedin.com/in/deborah-golden/"> LinkedIn</a> </li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.deloitte.com/global/en.html">Deloitte</a></li></ul><p>Sponsor:</p><ul><li> Framer - The website builder that turns your dot com from a formality into a tool for growth. Check it out at <a href="http://framer.com/PRACTICALAI">framer.com/PRACTICALAI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 18 Feb 2026 08:57:44 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>3147</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>As AI accelerates innovation and adoption, leaders are facing rising cognitive load, shifting systems, and new emotional realities inside their organizations. In this episode, Deloitte’s Chief Innovation Officer Deborah Golden joins us to explore how AI is reshaping leadership, why vulnerability and empathy are critical in this moment, and how anti-fragility, not just resilience, will define the future of work.</p><p>Featuring:</p><ul><li>Deborah Golden –<a href="https://www.linkedin.com/in/deborah-golden/"> LinkedIn</a> </li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.deloitte.com/global/en.html">Deloitte</a></li></ul><p>Sponsor:</p><ul><li> Framer - The website builder that turns your dot com from a formality into a tool for growth. Check it out at <a href="http://framer.com/PRACTICALAI">framer.com/PRACTICALAI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Guest" href="https://practicalai.fm/people/deborah-golden" img="https://img.transistorcdn.com/wKUte5wUQXo958vvhH4UXcKBJAcktRXdL6NYcktHLLg/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hYzAy/NTYyZDhjYjI3ZmYx/ZGEyODZmMzJiMmM3/M2E5Ni5qcGc.jpg">Deborah Golden</podcast:person>
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      <title>AI incidents, audits, and the limits of benchmarks</title>
      <itunes:episode>346</itunes:episode>
      <podcast:episode>346</podcast:episode>
      <itunes:title>AI incidents, audits, and the limits of benchmarks</itunes:title>
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        <![CDATA[<p>AI is moving fast from research to real-world deployment, and when things go wrong, the consequences are no longer hypothetical. In this episode, Sean McGregor, co-founder of the AI Verification &amp; Evaluation Research Institute and also the founder of the AI Incident Database, joins Chris and Dan to discuss AI safety, verification, evaluation, and auditing. They explore why benchmarks often fall short, what red-teaming at DEFCON reveals about machine learning risks, and how organizations can better assess and manage AI systems in practice.</p><p>Featuring:</p><ul><li>Sean McGregor– <a href="https://www.linkedin.com/in/seanbmcgregor/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.averi.org/">AI Verification &amp; Evaluation Research Institute</a></li><li><a href="https://incidentdatabase.ai/">AI Incident Database</a></li><li><a href="https://aaai.org/conference/aaai/aaai-26/iaai-26-call/">38th convening of IAAI</a></li><li><a href="https://www.youtube.com/watch?v=rE17hShOF_Q">BenchRisk</a></li><li><a href="https://www.youtube.com/watch?v=BOjTPSimNJk">State of Global AI Incident Reporting</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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        <![CDATA[<p>AI is moving fast from research to real-world deployment, and when things go wrong, the consequences are no longer hypothetical. In this episode, Sean McGregor, co-founder of the AI Verification &amp; Evaluation Research Institute and also the founder of the AI Incident Database, joins Chris and Dan to discuss AI safety, verification, evaluation, and auditing. They explore why benchmarks often fall short, what red-teaming at DEFCON reveals about machine learning risks, and how organizations can better assess and manage AI systems in practice.</p><p>Featuring:</p><ul><li>Sean McGregor– <a href="https://www.linkedin.com/in/seanbmcgregor/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.averi.org/">AI Verification &amp; Evaluation Research Institute</a></li><li><a href="https://incidentdatabase.ai/">AI Incident Database</a></li><li><a href="https://aaai.org/conference/aaai/aaai-26/iaai-26-call/">38th convening of IAAI</a></li><li><a href="https://www.youtube.com/watch?v=rE17hShOF_Q">BenchRisk</a></li><li><a href="https://www.youtube.com/watch?v=BOjTPSimNJk">State of Global AI Incident Reporting</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <pubDate>Fri, 13 Feb 2026 10:57:56 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>2572</itunes:duration>
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        <![CDATA[<p>AI is moving fast from research to real-world deployment, and when things go wrong, the consequences are no longer hypothetical. In this episode, Sean McGregor, co-founder of the AI Verification &amp; Evaluation Research Institute and also the founder of the AI Incident Database, joins Chris and Dan to discuss AI safety, verification, evaluation, and auditing. They explore why benchmarks often fall short, what red-teaming at DEFCON reveals about machine learning risks, and how organizations can better assess and manage AI systems in practice.</p><p>Featuring:</p><ul><li>Sean McGregor– <a href="https://www.linkedin.com/in/seanbmcgregor/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.averi.org/">AI Verification &amp; Evaluation Research Institute</a></li><li><a href="https://incidentdatabase.ai/">AI Incident Database</a></li><li><a href="https://aaai.org/conference/aaai/aaai-26/iaai-26-call/">38th convening of IAAI</a></li><li><a href="https://www.youtube.com/watch?v=rE17hShOF_Q">BenchRisk</a></li><li><a href="https://www.youtube.com/watch?v=BOjTPSimNJk">State of Global AI Incident Reporting</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
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    <item>
      <title>Inside an AI-Run Company</title>
      <itunes:episode>345</itunes:episode>
      <podcast:episode>345</podcast:episode>
      <itunes:title>Inside an AI-Run Company</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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        <![CDATA[<p>AI agents are moving from demos to real workplaces, but what actually happens when they run a company? In this episode, journalist Evan Ratliff, host of <em>Shell Game</em>, joins Chris to discuss his immersive journalism experiment building a real startup staffed almost entirely by AI agents. They explore how AI agents behave as coworkers, how humans react when interacting with them, and where ethical and workplace boundaries begin to break down.</p><p>Featuring:</p><ul><li>Evan Ratliff  – <a href="https://www.linkedin.com/in/evan-ratliff-2453031/">LinkedIn</a>, <a href="https://x.com/ev_rat?lang=en">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.shellgame.co/">Shell Game</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>AI agents are moving from demos to real workplaces, but what actually happens when they run a company? In this episode, journalist Evan Ratliff, host of <em>Shell Game</em>, joins Chris to discuss his immersive journalism experiment building a real startup staffed almost entirely by AI agents. They explore how AI agents behave as coworkers, how humans react when interacting with them, and where ethical and workplace boundaries begin to break down.</p><p>Featuring:</p><ul><li>Evan Ratliff  – <a href="https://www.linkedin.com/in/evan-ratliff-2453031/">LinkedIn</a>, <a href="https://x.com/ev_rat?lang=en">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.shellgame.co/">Shell Game</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <pubDate>Mon, 02 Feb 2026 14:00:22 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
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      <itunes:duration>2963</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>AI agents are moving from demos to real workplaces, but what actually happens when they run a company? In this episode, journalist Evan Ratliff, host of <em>Shell Game</em>, joins Chris to discuss his immersive journalism experiment building a real startup staffed almost entirely by AI agents. They explore how AI agents behave as coworkers, how humans react when interacting with them, and where ethical and workplace boundaries begin to break down.</p><p>Featuring:</p><ul><li>Evan Ratliff  – <a href="https://www.linkedin.com/in/evan-ratliff-2453031/">LinkedIn</a>, <a href="https://x.com/ev_rat?lang=en">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.shellgame.co/">Shell Game</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
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      <title>How is AI shaping democracy?</title>
      <itunes:episode>344</itunes:episode>
      <podcast:episode>344</podcast:episode>
      <itunes:title>How is AI shaping democracy?</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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        <![CDATA[<p>As AI increasingly shapes geopolitics, elections, and civic life, its impact on democracy is becoming impossible to ignore. In this episode, Daniel and Chris are joined by security expert Bruce Schneier to explore how AI and technology are transforming democracy, governance, and citizenship. Drawing from his book <em>Rewiring Democracy</em>, they explore real examples of AI in elections, legislation, courts, and public AI models, the risks of concentrated power, and how these tools can both strengthen and strain democratic systems worldwide.</p><p>Featuring:</p><ul><li>Bruce Schneier – <a href="https://x.com/schneierblog">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links: </p><ul><li><a href="https://www.schneier.com/">Schneier on Security</a></li></ul><p>Sponsors:</p><ul><li>Framer - The website builder that turns your dot com from a formality into a tool for growth. Check it out at <a href="http://framer.com/PRACTICALAI">framer.com/PRACTICALAI</a></li><li>Zapier - The AI orchestration platform that puts AI to work across your company. Check it out at <a href="http://zapier.com/practical">zapier.com/practical</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>As AI increasingly shapes geopolitics, elections, and civic life, its impact on democracy is becoming impossible to ignore. In this episode, Daniel and Chris are joined by security expert Bruce Schneier to explore how AI and technology are transforming democracy, governance, and citizenship. Drawing from his book <em>Rewiring Democracy</em>, they explore real examples of AI in elections, legislation, courts, and public AI models, the risks of concentrated power, and how these tools can both strengthen and strain democratic systems worldwide.</p><p>Featuring:</p><ul><li>Bruce Schneier – <a href="https://x.com/schneierblog">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links: </p><ul><li><a href="https://www.schneier.com/">Schneier on Security</a></li></ul><p>Sponsors:</p><ul><li>Framer - The website builder that turns your dot com from a formality into a tool for growth. Check it out at <a href="http://framer.com/PRACTICALAI">framer.com/PRACTICALAI</a></li><li>Zapier - The AI orchestration platform that puts AI to work across your company. Check it out at <a href="http://zapier.com/practical">zapier.com/practical</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 27 Jan 2026 08:58:25 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/0d2fa64e/d7cf6a15.mp3" length="46583280" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
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      <itunes:duration>2903</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>As AI increasingly shapes geopolitics, elections, and civic life, its impact on democracy is becoming impossible to ignore. In this episode, Daniel and Chris are joined by security expert Bruce Schneier to explore how AI and technology are transforming democracy, governance, and citizenship. Drawing from his book <em>Rewiring Democracy</em>, they explore real examples of AI in elections, legislation, courts, and public AI models, the risks of concentrated power, and how these tools can both strengthen and strain democratic systems worldwide.</p><p>Featuring:</p><ul><li>Bruce Schneier – <a href="https://x.com/schneierblog">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links: </p><ul><li><a href="https://www.schneier.com/">Schneier on Security</a></li></ul><p>Sponsors:</p><ul><li>Framer - The website builder that turns your dot com from a formality into a tool for growth. Check it out at <a href="http://framer.com/PRACTICALAI">framer.com/PRACTICALAI</a></li><li>Zapier - The AI orchestration platform that puts AI to work across your company. Check it out at <a href="http://zapier.com/practical">zapier.com/practical</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
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      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>Controlling AI Models from the Inside</title>
      <itunes:episode>343</itunes:episode>
      <podcast:episode>343</podcast:episode>
      <itunes:title>Controlling AI Models from the Inside</itunes:title>
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        <![CDATA[<p>As generative AI moves into production, traditional guardrails and input/output filters can prove too slow, too expensive, and/or too limited. In this episode, Alizishaan Khatri of Wrynx joins Daniel and Chris to explore a fundamentally different approach to AI safety and interpretability. They unpack the limits of today’s black-box defenses, the role of interpretability, and how model-native, runtime signals can enable safer AI systems. </p><p>Featuring:</p><ul><li>Alizishaan Khatri – <a href="https://www.linkedin.com/in/alizishaan-khatri-32a20637/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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        <![CDATA[<p>As generative AI moves into production, traditional guardrails and input/output filters can prove too slow, too expensive, and/or too limited. In this episode, Alizishaan Khatri of Wrynx joins Daniel and Chris to explore a fundamentally different approach to AI safety and interpretability. They unpack the limits of today’s black-box defenses, the role of interpretability, and how model-native, runtime signals can enable safer AI systems. </p><p>Featuring:</p><ul><li>Alizishaan Khatri – <a href="https://www.linkedin.com/in/alizishaan-khatri-32a20637/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <pubDate>Tue, 20 Jan 2026 14:10:20 -0500</pubDate>
      <author>Practical AI LLC</author>
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        <![CDATA[<p>As generative AI moves into production, traditional guardrails and input/output filters can prove too slow, too expensive, and/or too limited. In this episode, Alizishaan Khatri of Wrynx joins Daniel and Chris to explore a fundamentally different approach to AI safety and interpretability. They unpack the limits of today’s black-box defenses, the role of interpretability, and how model-native, runtime signals can enable safer AI systems. </p><p>Featuring:</p><ul><li>Alizishaan Khatri – <a href="https://www.linkedin.com/in/alizishaan-khatri-32a20637/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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      <title>2025 was the year of agents, what's coming in 2026?</title>
      <itunes:episode>342</itunes:episode>
      <podcast:episode>342</podcast:episode>
      <itunes:title>2025 was the year of agents, what's coming in 2026?</itunes:title>
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        <![CDATA[<p>In this start-of-year FC episode, Chris and Daniel break down what really mattered in AI in 2025, and what to expect in 2026. They explore the rise of AI agents, the practical reality of multimodal AI, and how reasoning models are reshaping workflows. The conversation dives into infrastructure and energy constraints, the continued value of predictive models, and why orchestration (not just better models) is becoming the defining skill for AI teams. The episode wraps with grounded 2026 predictions on where AI systems, tooling, and builders are headed next.</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Sponsor:</p><ul><li>Framer - The enterprise-grade website builder that lets your team ship faster. Get 30% off at <a href="http://framer.com/practicalai">framer.com/practicalai</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <content:encoded>
        <![CDATA[<p>In this start-of-year FC episode, Chris and Daniel break down what really mattered in AI in 2025, and what to expect in 2026. They explore the rise of AI agents, the practical reality of multimodal AI, and how reasoning models are reshaping workflows. The conversation dives into infrastructure and energy constraints, the continued value of predictive models, and why orchestration (not just better models) is becoming the defining skill for AI teams. The episode wraps with grounded 2026 predictions on where AI systems, tooling, and builders are headed next.</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Sponsor:</p><ul><li>Framer - The enterprise-grade website builder that lets your team ship faster. Get 30% off at <a href="http://framer.com/practicalai">framer.com/practicalai</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <pubDate>Fri, 09 Jan 2026 15:08:07 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
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        <![CDATA[<p>In this start-of-year FC episode, Chris and Daniel break down what really mattered in AI in 2025, and what to expect in 2026. They explore the rise of AI agents, the practical reality of multimodal AI, and how reasoning models are reshaping workflows. The conversation dives into infrastructure and energy constraints, the continued value of predictive models, and why orchestration (not just better models) is becoming the defining skill for AI teams. The episode wraps with grounded 2026 predictions on where AI systems, tooling, and builders are headed next.</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Sponsor:</p><ul><li>Framer - The enterprise-grade website builder that lets your team ship faster. Get 30% off at <a href="http://framer.com/practicalai">framer.com/practicalai</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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      <title>Beyond chatbots: Agents that tackle your SOPs</title>
      <itunes:episode>341</itunes:episode>
      <podcast:episode>341</podcast:episode>
      <itunes:title>Beyond chatbots: Agents that tackle your SOPs</itunes:title>
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        <![CDATA[<p>As AI reshapes the workplace, employees and leaders face questions about meaningful work, automation, and human impact. In this episode, Jason Beutler, CEO of RoboSource, shares how companies can rethink workflows, integrate AI in accessible ways, and empower employees without fear. The discussion covers leveraging AI to handle routine tasks (SOPs or "plays") and reimagining work for smarter, more human-centered outcomes.</p><p>Featuring:</p><ul><li>Jason Beutler – <a href="https://www.linkedin.com/in/jrbeutler/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Sponsor:</p><ul><li>Framer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at <a href="https://www.framer.com/design/">framer.com/design</a> with code `PRACTICALAI` for a free month of Framer Pro.</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <content:encoded>
        <![CDATA[<p>As AI reshapes the workplace, employees and leaders face questions about meaningful work, automation, and human impact. In this episode, Jason Beutler, CEO of RoboSource, shares how companies can rethink workflows, integrate AI in accessible ways, and empower employees without fear. The discussion covers leveraging AI to handle routine tasks (SOPs or "plays") and reimagining work for smarter, more human-centered outcomes.</p><p>Featuring:</p><ul><li>Jason Beutler – <a href="https://www.linkedin.com/in/jrbeutler/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Sponsor:</p><ul><li>Framer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at <a href="https://www.framer.com/design/">framer.com/design</a> with code `PRACTICALAI` for a free month of Framer Pro.</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <pubDate>Wed, 17 Dec 2025 13:30:41 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
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        <![CDATA[<p>As AI reshapes the workplace, employees and leaders face questions about meaningful work, automation, and human impact. In this episode, Jason Beutler, CEO of RoboSource, shares how companies can rethink workflows, integrate AI in accessible ways, and empower employees without fear. The discussion covers leveraging AI to handle routine tasks (SOPs or "plays") and reimagining work for smarter, more human-centered outcomes.</p><p>Featuring:</p><ul><li>Jason Beutler – <a href="https://www.linkedin.com/in/jrbeutler/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Sponsor:</p><ul><li>Framer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at <a href="https://www.framer.com/design/">framer.com/design</a> with code `PRACTICALAI` for a free month of Framer Pro.</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Guest" href="https://practicalai.fm/people/jason-beutler" img="https://img.transistorcdn.com/FE9wgDDQbwEcHbslLjdyyblHVN4373tVQg8SgzC4Qec/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yNzhi/MzY3MWE3NmYyNzJk/ZDRkZjc5MjUxYzZl/Y2ZkZC5qcGc.jpg">Jason Beutler</podcast:person>
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    <item>
      <title>The AI engineer skills gap</title>
      <itunes:episode>340</itunes:episode>
      <podcast:episode>340</podcast:episode>
      <itunes:title>The AI engineer skills gap</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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        <![CDATA[<p>Chris and Daniel talk with returning guest, Ramin Mohammadi, about how those seeking to get into AI Engineer/ Data Science jobs are expected to come in a mid level engineers (not entry level). They explore this growing gap along with what should (or could) be done in academia to focus on real world skills vs. theoretical knowledge. </p><p>Featuring:</p><ul><li>Ramin Mohammadi – <a href="https://www.linkedin.com/in/ramin-madi/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Sponsors:</p><ul><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <content:encoded>
        <![CDATA[<p>Chris and Daniel talk with returning guest, Ramin Mohammadi, about how those seeking to get into AI Engineer/ Data Science jobs are expected to come in a mid level engineers (not entry level). They explore this growing gap along with what should (or could) be done in academia to focus on real world skills vs. theoretical knowledge. </p><p>Featuring:</p><ul><li>Ramin Mohammadi – <a href="https://www.linkedin.com/in/ramin-madi/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Sponsors:</p><ul><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 10 Dec 2025 10:01:19 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
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      <itunes:duration>2733</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Chris and Daniel talk with returning guest, Ramin Mohammadi, about how those seeking to get into AI Engineer/ Data Science jobs are expected to come in a mid level engineers (not entry level). They explore this growing gap along with what should (or could) be done in academia to focus on real world skills vs. theoretical knowledge. </p><p>Featuring:</p><ul><li>Ramin Mohammadi – <a href="https://www.linkedin.com/in/ramin-madi/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Sponsors:</p><ul><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/raminmohammadi" img="https://img.transistorcdn.com/4xXQRBPGuWFvhEB5BAL45XbD8Rb_ZGL6IS5S9hMiW9o/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lOTBk/ZDAxMWNlOTMzMzFi/NmUwZWEyNGRhN2Ji/ZDUzZS5qcGVn.jpg">Ramin Mohammadi</podcast:person>
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    <item>
      <title>Technical advances in document understanding</title>
      <itunes:episode>339</itunes:episode>
      <podcast:episode>339</podcast:episode>
      <itunes:title>Technical advances in document understanding</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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        <![CDATA[<p>Chris and Daniel unpack how AI-driven document processing has rapidly evolved well beyond traditional OCR with many technical advances that fly under the radar. They explore the progression from document structure models to language-vision models, all the way to the newest innovations like Deepseek-OCR. The discussion highlights the pros and cons of these various approaches focusing on practical implementation and usage.</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Sponsors:</p><ul><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="http://fabi.ai/">Fabi.ai</a> - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at <a href="http://fabi.ai/">fabi.ai</a></li><li>Framer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at <a href="https://www.framer.com/design/">framer.com/design</a> with code `PRACTICALAI` for a free month of Framer Pro.</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <content:encoded>
        <![CDATA[<p>Chris and Daniel unpack how AI-driven document processing has rapidly evolved well beyond traditional OCR with many technical advances that fly under the radar. They explore the progression from document structure models to language-vision models, all the way to the newest innovations like Deepseek-OCR. The discussion highlights the pros and cons of these various approaches focusing on practical implementation and usage.</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Sponsors:</p><ul><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="http://fabi.ai/">Fabi.ai</a> - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at <a href="http://fabi.ai/">fabi.ai</a></li><li>Framer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at <a href="https://www.framer.com/design/">framer.com/design</a> with code `PRACTICALAI` for a free month of Framer Pro.</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 02 Dec 2025 15:58:43 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/ba36c917/9f513f05.mp3" length="47500643" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
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      <itunes:duration>2958</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Chris and Daniel unpack how AI-driven document processing has rapidly evolved well beyond traditional OCR with many technical advances that fly under the radar. They explore the progression from document structure models to language-vision models, all the way to the newest innovations like Deepseek-OCR. The discussion highlights the pros and cons of these various approaches focusing on practical implementation and usage.</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Sponsors:</p><ul><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="http://fabi.ai/">Fabi.ai</a> - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at <a href="http://fabi.ai/">fabi.ai</a></li><li>Framer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at <a href="https://www.framer.com/design/">framer.com/design</a> with code `PRACTICALAI` for a free month of Framer Pro.</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
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    <item>
      <title>Chris on AI, autonomous swarming, home automation and Rust!</title>
      <itunes:episode>338</itunes:episode>
      <podcast:episode>338</podcast:episode>
      <itunes:title>Chris on AI, autonomous swarming, home automation and Rust!</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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        <![CDATA[<p>This episode is a special crossover between the Practical AI podcast and The Changelog podcast. Chris was recently invited by longtime friends Jerod Santo and Adam Stacoviak, cohosts of The Changelog, to join them on the show. They discuss AI, drones, robotics, swarming technology, and the rise of high-performance edge computing with Rust.  Chris points out that open source software, small AI models, and affordable hardware are making home automation and local AI accessible to everyone. From automating household functions to experimenting with drones and single-board computers, Chris describes how hands-on maker projects are shaping a bright future for physical AI, on small budgets and right from the comfort of your own home.</p><p>Featuring: </p><ul><li>Jerod Santo – <a href="https://www.linkedin.com/in/jerodsanto/">LinkedIn</a></li><li>Adam Stacoviak – <a href="https://www.linkedin.com/in/adamstacoviak/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Sponsors: </p><ul><li>Miro – Get the right things done faster with Miro's Innovation Workspace. AI Sidekicks, instant insights, and rapid prototyping—transform weeks of work into days. No more scattered docs or endless meetings. Help your teams get great done at <a href="https://miro.com/">Miro.com</a>.</li><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul><p><br>This week we have extended show notes below from Chris!</p><p><strong>Swarming &amp; Fully Autonomous Multi-Agent UxV Systems</strong></p><p>Chris’s Definition of Swarming (anchor link in show notes)</p><strong>Chris’s definition of Swarming</strong><br><em>“Swarming occurs when numerous independent fully-autonomous multi-agentic platforms exhibit highly-coordinated locomotive and emergent behaviors with agency and self-governance in any domain (air, ground, sea, undersea, space), functioning as a single independent logical distributed decentralized decisioning entity for purposes of C3 (command, control, communications) with human operators on-the-loop, to implement actions that achieve strategic, tactical, or operational effects in the furtherance of a mission.”</em><br>© 2025 Chris Benson<p>Conceptual Foundations</p><ul><li><strong>Swarm Robotics – Wikipedia</strong><br>High-level overview of swarm robotics as decentralized robot collectives.<br><a href="https://en.wikipedia.org/wiki/Swarm_robotics?utm_source=chatgpt.com">https://en.wikipedia.org/wiki/Swarm_robotics</a></li><li><strong>Swarm Robotic Platforms – Wikipedia</strong><br>Survey of hardware platforms used in swarm robotics research.<br><a href="https://en.wikipedia.org/wiki/Swarm_robotic_platforms?utm_source=chatgpt.com">https://en.wikipedia.org/wiki/Swarm_robotic_platforms</a></li><li><strong>Swarm Intelligence – Wikipedia</strong><br>Broader algorithms and theory behind collective intelligence (beyond robots).<br><a href="https://en.wikipedia.org/wiki/Swarm_intelligence?utm_source=chatgpt.com">https://en.wikipedia.org/wiki/Swarm_intelligence</a></li><li><strong>Ant Robotics – Wikipedia</strong><br>Nature-inspired “ant-like” robotics as a special case of swarm robotics.<br><a href="https://en.wikipedia.org/wiki/Ant_robotics?utm_source=chatgpt.com">https://en.wikipedia.org/wiki/Ant_robotics</a></li></ul><p>Open Research &amp; Multi-Robot Resources (Stepping-Stones Toward True Swarms)</p><ul><li><strong>Programming Multiple Robots with ROS 2 (online book)</strong><br>Free book on multi-robot systems, ROS 2, and the Robot Middleware Framework (RMF).<br><a href="https://osrf.github.io/ros2multirobotbook/?utm_source=chatgpt.com">https://osrf.github.io/ros2multirobotbook</a></li><li><strong>Simulation with ROS 2 &amp; Gazebo (ROS 2 Humble tutorial)</strong><br>Official tutorial on connecting ROS 2 to Gazebo simulation.<br><a href="https://docs.ros.org/en/humble/Tutorials/Advanced/Simulators/Gazebo/Gazebo.html?utm_source=chatgpt.com">https://docs.ros.org/en/humble/Tutorials/Advanced/Simulators/Gazebo/Gazebo.html</a></li><li><strong>Spawning Multiple Robots in Gazebo with ROS 2</strong><br>Hands-on tutorial to launch N robots in Gazebo, each with its own namespace.<br><a href="https://www.theconstruct.ai/spawning-multiple-robots-in-gazebo-with-ros2/?utm_source=chatgpt.com">https://www.theconstruct.ai/spawning-multiple-robots-in-gazebo-with-ros2</a></li><li><strong>ROS 2 Multi-Robot Simulation Best Practices (Discourse thread)</strong><br>Discussion of patterns for multi-robot systems (domains, namespaces, Nav2, etc.).<br><a href="https://discourse.openrobotics.org/t/multi-robot-simulation-best-practices/38987?utm_source=chatgpt.com">https://discourse.openrobotics.org/t/multi-robot-simulation-best-practices/38987</a></li></ul><p><strong>Getting Hands-On: Consumer Robotics, ROS 2 &amp; Gazebo</strong></p><p>ROS 2 (Robot Operating System 2)</p><ul><li><strong>Official ROS 2 Documentation – Humble (LTS)</strong><br>Main docs for ROS 2 Humble (recommended distro) with tutorials and APIs.<br><a href="https://docs.ros.org/en/humble/">https://docs.ros.org/en/humble</a></li><li><strong>ROS 2 Installation Guide (Humble)</strong><br>Step-by-step install on supported platforms.<br><a href="https://docs.ros.org/en/humble/Installation.html?utm_source=chatgpt.com">https://docs.ros.org/en/humble/Installation.html</a></li><li><strong>“From Zero to Robotics Hero: A Beginner’s Guide to ROS 2” (article)</strong><br>Beginner-friendly overview with ideas for where to go next (MoveIt, Nav2, multi-robot, etc.).<br><a href="https://riyagoja.medium.com/from-zero-to-robotics-hero-a-beginners-guide-to-ros-2-90ac9c3b87ba?utm_source=chatgpt.com">https://riyagoja.medium.com/from-zero-to-robotics-hero-a-beginners-guide-to-ros-2-90ac9c3b87ba</a></li><li><strong>ROS 2 Tutorial for Beginners (2025 guide)</strong><br>Up-to-date intro that walks you from install to simulating your first robot in 2025.<br><a href="https://www.timesofexplore.com/2025/10/ros2-tutorial-beginners-build-first-robot-2025.html?utm_source=chatgpt.com">https://www.timesofexplore.com/2025/10/ros2-tutorial-beginners-build-first-robot-2025.html</a></li></ul><p>Gazebo Simulation</p><ul><li><strong>Gazebo Sim – Official Site</strong><br>Modern Gazebo (Ignition) simulator; models, worlds, and docs.<br><a href="https://gazebosim.org/?utm_source=chatgpt.com">https://gazebosim.org</a></li><li><strong>Getting Started with Gazebo (Docs)</strong><br>Official “start here” guide for using Gazebo and Gazebo Fuel assets.<br><a href="https://gazebosim.org/docs/latest/getstarted/?utm_source=chatgpt.com">https://gazebosim.org/docs/latest/getstarted</a></li><li><strong>Classic Gazebo Tutorials</strong> (still useful for fundamentals)<br><a href="https://classic.gazebosim.org/tutorials?utm_source=chatgpt.com">https://classic.gazebosim.org/tutorials</a></li></ul><p>micro-ROS (ROS 2 on Microcontrollers)</p><ul><li><strong>micro-ROS – ROS 2 for Microcontrollers</strong><br>Official site for running ROS 2 on tiny embedded boards.<br><a href="https://micro.ros.org/?utm_source=chatgpt.com">https://micro.ros.org</a></li><li><strong>micro-ROS GitHub Organization</strong><br>Repositories, examples, and tutor...</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>This episode is a special crossover between the Practical AI podcast and The Changelog podcast. Chris was recently invited by longtime friends Jerod Santo and Adam Stacoviak, cohosts of The Changelog, to join them on the show. They discuss AI, drones, robotics, swarming technology, and the rise of high-performance edge computing with Rust.  Chris points out that open source software, small AI models, and affordable hardware are making home automation and local AI accessible to everyone. From automating household functions to experimenting with drones and single-board computers, Chris describes how hands-on maker projects are shaping a bright future for physical AI, on small budgets and right from the comfort of your own home.</p><p>Featuring: </p><ul><li>Jerod Santo – <a href="https://www.linkedin.com/in/jerodsanto/">LinkedIn</a></li><li>Adam Stacoviak – <a href="https://www.linkedin.com/in/adamstacoviak/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Sponsors: </p><ul><li>Miro – Get the right things done faster with Miro's Innovation Workspace. AI Sidekicks, instant insights, and rapid prototyping—transform weeks of work into days. No more scattered docs or endless meetings. Help your teams get great done at <a href="https://miro.com/">Miro.com</a>.</li><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul><p><br>This week we have extended show notes below from Chris!</p><p><strong>Swarming &amp; Fully Autonomous Multi-Agent UxV Systems</strong></p><p>Chris’s Definition of Swarming (anchor link in show notes)</p><strong>Chris’s definition of Swarming</strong><br><em>“Swarming occurs when numerous independent fully-autonomous multi-agentic platforms exhibit highly-coordinated locomotive and emergent behaviors with agency and self-governance in any domain (air, ground, sea, undersea, space), functioning as a single independent logical distributed decentralized decisioning entity for purposes of C3 (command, control, communications) with human operators on-the-loop, to implement actions that achieve strategic, tactical, or operational effects in the furtherance of a mission.”</em><br>© 2025 Chris Benson<p>Conceptual Foundations</p><ul><li><strong>Swarm Robotics – Wikipedia</strong><br>High-level overview of swarm robotics as decentralized robot collectives.<br><a href="https://en.wikipedia.org/wiki/Swarm_robotics?utm_source=chatgpt.com">https://en.wikipedia.org/wiki/Swarm_robotics</a></li><li><strong>Swarm Robotic Platforms – Wikipedia</strong><br>Survey of hardware platforms used in swarm robotics research.<br><a href="https://en.wikipedia.org/wiki/Swarm_robotic_platforms?utm_source=chatgpt.com">https://en.wikipedia.org/wiki/Swarm_robotic_platforms</a></li><li><strong>Swarm Intelligence – Wikipedia</strong><br>Broader algorithms and theory behind collective intelligence (beyond robots).<br><a href="https://en.wikipedia.org/wiki/Swarm_intelligence?utm_source=chatgpt.com">https://en.wikipedia.org/wiki/Swarm_intelligence</a></li><li><strong>Ant Robotics – Wikipedia</strong><br>Nature-inspired “ant-like” robotics as a special case of swarm robotics.<br><a href="https://en.wikipedia.org/wiki/Ant_robotics?utm_source=chatgpt.com">https://en.wikipedia.org/wiki/Ant_robotics</a></li></ul><p>Open Research &amp; Multi-Robot Resources (Stepping-Stones Toward True Swarms)</p><ul><li><strong>Programming Multiple Robots with ROS 2 (online book)</strong><br>Free book on multi-robot systems, ROS 2, and the Robot Middleware Framework (RMF).<br><a href="https://osrf.github.io/ros2multirobotbook/?utm_source=chatgpt.com">https://osrf.github.io/ros2multirobotbook</a></li><li><strong>Simulation with ROS 2 &amp; Gazebo (ROS 2 Humble tutorial)</strong><br>Official tutorial on connecting ROS 2 to Gazebo simulation.<br><a href="https://docs.ros.org/en/humble/Tutorials/Advanced/Simulators/Gazebo/Gazebo.html?utm_source=chatgpt.com">https://docs.ros.org/en/humble/Tutorials/Advanced/Simulators/Gazebo/Gazebo.html</a></li><li><strong>Spawning Multiple Robots in Gazebo with ROS 2</strong><br>Hands-on tutorial to launch N robots in Gazebo, each with its own namespace.<br><a href="https://www.theconstruct.ai/spawning-multiple-robots-in-gazebo-with-ros2/?utm_source=chatgpt.com">https://www.theconstruct.ai/spawning-multiple-robots-in-gazebo-with-ros2</a></li><li><strong>ROS 2 Multi-Robot Simulation Best Practices (Discourse thread)</strong><br>Discussion of patterns for multi-robot systems (domains, namespaces, Nav2, etc.).<br><a href="https://discourse.openrobotics.org/t/multi-robot-simulation-best-practices/38987?utm_source=chatgpt.com">https://discourse.openrobotics.org/t/multi-robot-simulation-best-practices/38987</a></li></ul><p><strong>Getting Hands-On: Consumer Robotics, ROS 2 &amp; Gazebo</strong></p><p>ROS 2 (Robot Operating System 2)</p><ul><li><strong>Official ROS 2 Documentation – Humble (LTS)</strong><br>Main docs for ROS 2 Humble (recommended distro) with tutorials and APIs.<br><a href="https://docs.ros.org/en/humble/">https://docs.ros.org/en/humble</a></li><li><strong>ROS 2 Installation Guide (Humble)</strong><br>Step-by-step install on supported platforms.<br><a href="https://docs.ros.org/en/humble/Installation.html?utm_source=chatgpt.com">https://docs.ros.org/en/humble/Installation.html</a></li><li><strong>“From Zero to Robotics Hero: A Beginner’s Guide to ROS 2” (article)</strong><br>Beginner-friendly overview with ideas for where to go next (MoveIt, Nav2, multi-robot, etc.).<br><a href="https://riyagoja.medium.com/from-zero-to-robotics-hero-a-beginners-guide-to-ros-2-90ac9c3b87ba?utm_source=chatgpt.com">https://riyagoja.medium.com/from-zero-to-robotics-hero-a-beginners-guide-to-ros-2-90ac9c3b87ba</a></li><li><strong>ROS 2 Tutorial for Beginners (2025 guide)</strong><br>Up-to-date intro that walks you from install to simulating your first robot in 2025.<br><a href="https://www.timesofexplore.com/2025/10/ros2-tutorial-beginners-build-first-robot-2025.html?utm_source=chatgpt.com">https://www.timesofexplore.com/2025/10/ros2-tutorial-beginners-build-first-robot-2025.html</a></li></ul><p>Gazebo Simulation</p><ul><li><strong>Gazebo Sim – Official Site</strong><br>Modern Gazebo (Ignition) simulator; models, worlds, and docs.<br><a href="https://gazebosim.org/?utm_source=chatgpt.com">https://gazebosim.org</a></li><li><strong>Getting Started with Gazebo (Docs)</strong><br>Official “start here” guide for using Gazebo and Gazebo Fuel assets.<br><a href="https://gazebosim.org/docs/latest/getstarted/?utm_source=chatgpt.com">https://gazebosim.org/docs/latest/getstarted</a></li><li><strong>Classic Gazebo Tutorials</strong> (still useful for fundamentals)<br><a href="https://classic.gazebosim.org/tutorials?utm_source=chatgpt.com">https://classic.gazebosim.org/tutorials</a></li></ul><p>micro-ROS (ROS 2 on Microcontrollers)</p><ul><li><strong>micro-ROS – ROS 2 for Microcontrollers</strong><br>Official site for running ROS 2 on tiny embedded boards.<br><a href="https://micro.ros.org/?utm_source=chatgpt.com">https://micro.ros.org</a></li><li><strong>micro-ROS GitHub Organization</strong><br>Repositories, examples, and tutor...</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 26 Nov 2025 16:28:00 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
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      <itunes:duration>5829</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>This episode is a special crossover between the Practical AI podcast and The Changelog podcast. Chris was recently invited by longtime friends Jerod Santo and Adam Stacoviak, cohosts of The Changelog, to join them on the show. They discuss AI, drones, robotics, swarming technology, and the rise of high-performance edge computing with Rust.  Chris points out that open source software, small AI models, and affordable hardware are making home automation and local AI accessible to everyone. From automating household functions to experimenting with drones and single-board computers, Chris describes how hands-on maker projects are shaping a bright future for physical AI, on small budgets and right from the comfort of your own home.</p><p>Featuring: </p><ul><li>Jerod Santo – <a href="https://www.linkedin.com/in/jerodsanto/">LinkedIn</a></li><li>Adam Stacoviak – <a href="https://www.linkedin.com/in/adamstacoviak/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Sponsors: </p><ul><li>Miro – Get the right things done faster with Miro's Innovation Workspace. AI Sidekicks, instant insights, and rapid prototyping—transform weeks of work into days. No more scattered docs or endless meetings. Help your teams get great done at <a href="https://miro.com/">Miro.com</a>.</li><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul><p><br>This week we have extended show notes below from Chris!</p><p><strong>Swarming &amp; Fully Autonomous Multi-Agent UxV Systems</strong></p><p>Chris’s Definition of Swarming (anchor link in show notes)</p><strong>Chris’s definition of Swarming</strong><br><em>“Swarming occurs when numerous independent fully-autonomous multi-agentic platforms exhibit highly-coordinated locomotive and emergent behaviors with agency and self-governance in any domain (air, ground, sea, undersea, space), functioning as a single independent logical distributed decentralized decisioning entity for purposes of C3 (command, control, communications) with human operators on-the-loop, to implement actions that achieve strategic, tactical, or operational effects in the furtherance of a mission.”</em><br>© 2025 Chris Benson<p>Conceptual Foundations</p><ul><li><strong>Swarm Robotics – Wikipedia</strong><br>High-level overview of swarm robotics as decentralized robot collectives.<br><a href="https://en.wikipedia.org/wiki/Swarm_robotics?utm_source=chatgpt.com">https://en.wikipedia.org/wiki/Swarm_robotics</a></li><li><strong>Swarm Robotic Platforms – Wikipedia</strong><br>Survey of hardware platforms used in swarm robotics research.<br><a href="https://en.wikipedia.org/wiki/Swarm_robotic_platforms?utm_source=chatgpt.com">https://en.wikipedia.org/wiki/Swarm_robotic_platforms</a></li><li><strong>Swarm Intelligence – Wikipedia</strong><br>Broader algorithms and theory behind collective intelligence (beyond robots).<br><a href="https://en.wikipedia.org/wiki/Swarm_intelligence?utm_source=chatgpt.com">https://en.wikipedia.org/wiki/Swarm_intelligence</a></li><li><strong>Ant Robotics – Wikipedia</strong><br>Nature-inspired “ant-like” robotics as a special case of swarm robotics.<br><a href="https://en.wikipedia.org/wiki/Ant_robotics?utm_source=chatgpt.com">https://en.wikipedia.org/wiki/Ant_robotics</a></li></ul><p>Open Research &amp; Multi-Robot Resources (Stepping-Stones Toward True Swarms)</p><ul><li><strong>Programming Multiple Robots with ROS 2 (online book)</strong><br>Free book on multi-robot systems, ROS 2, and the Robot Middleware Framework (RMF).<br><a href="https://osrf.github.io/ros2multirobotbook/?utm_source=chatgpt.com">https://osrf.github.io/ros2multirobotbook</a></li><li><strong>Simulation with ROS 2 &amp; Gazebo (ROS 2 Humble tutorial)</strong><br>Official tutorial on connecting ROS 2 to Gazebo simulation.<br><a href="https://docs.ros.org/en/humble/Tutorials/Advanced/Simulators/Gazebo/Gazebo.html?utm_source=chatgpt.com">https://docs.ros.org/en/humble/Tutorials/Advanced/Simulators/Gazebo/Gazebo.html</a></li><li><strong>Spawning Multiple Robots in Gazebo with ROS 2</strong><br>Hands-on tutorial to launch N robots in Gazebo, each with its own namespace.<br><a href="https://www.theconstruct.ai/spawning-multiple-robots-in-gazebo-with-ros2/?utm_source=chatgpt.com">https://www.theconstruct.ai/spawning-multiple-robots-in-gazebo-with-ros2</a></li><li><strong>ROS 2 Multi-Robot Simulation Best Practices (Discourse thread)</strong><br>Discussion of patterns for multi-robot systems (domains, namespaces, Nav2, etc.).<br><a href="https://discourse.openrobotics.org/t/multi-robot-simulation-best-practices/38987?utm_source=chatgpt.com">https://discourse.openrobotics.org/t/multi-robot-simulation-best-practices/38987</a></li></ul><p><strong>Getting Hands-On: Consumer Robotics, ROS 2 &amp; Gazebo</strong></p><p>ROS 2 (Robot Operating System 2)</p><ul><li><strong>Official ROS 2 Documentation – Humble (LTS)</strong><br>Main docs for ROS 2 Humble (recommended distro) with tutorials and APIs.<br><a href="https://docs.ros.org/en/humble/">https://docs.ros.org/en/humble</a></li><li><strong>ROS 2 Installation Guide (Humble)</strong><br>Step-by-step install on supported platforms.<br><a href="https://docs.ros.org/en/humble/Installation.html?utm_source=chatgpt.com">https://docs.ros.org/en/humble/Installation.html</a></li><li><strong>“From Zero to Robotics Hero: A Beginner’s Guide to ROS 2” (article)</strong><br>Beginner-friendly overview with ideas for where to go next (MoveIt, Nav2, multi-robot, etc.).<br><a href="https://riyagoja.medium.com/from-zero-to-robotics-hero-a-beginners-guide-to-ros-2-90ac9c3b87ba?utm_source=chatgpt.com">https://riyagoja.medium.com/from-zero-to-robotics-hero-a-beginners-guide-to-ros-2-90ac9c3b87ba</a></li><li><strong>ROS 2 Tutorial for Beginners (2025 guide)</strong><br>Up-to-date intro that walks you from install to simulating your first robot in 2025.<br><a href="https://www.timesofexplore.com/2025/10/ros2-tutorial-beginners-build-first-robot-2025.html?utm_source=chatgpt.com">https://www.timesofexplore.com/2025/10/ros2-tutorial-beginners-build-first-robot-2025.html</a></li></ul><p>Gazebo Simulation</p><ul><li><strong>Gazebo Sim – Official Site</strong><br>Modern Gazebo (Ignition) simulator; models, worlds, and docs.<br><a href="https://gazebosim.org/?utm_source=chatgpt.com">https://gazebosim.org</a></li><li><strong>Getting Started with Gazebo (Docs)</strong><br>Official “start here” guide for using Gazebo and Gazebo Fuel assets.<br><a href="https://gazebosim.org/docs/latest/getstarted/?utm_source=chatgpt.com">https://gazebosim.org/docs/latest/getstarted</a></li><li><strong>Classic Gazebo Tutorials</strong> (still useful for fundamentals)<br><a href="https://classic.gazebosim.org/tutorials?utm_source=chatgpt.com">https://classic.gazebosim.org/tutorials</a></li></ul><p>micro-ROS (ROS 2 on Microcontrollers)</p><ul><li><strong>micro-ROS – ROS 2 for Microcontrollers</strong><br>Official site for running ROS 2 on tiny embedded boards.<br><a href="https://micro.ros.org/?utm_source=chatgpt.com">https://micro.ros.org</a></li><li><strong>micro-ROS GitHub Organization</strong><br>Repositories, examples, and tutor...</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
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    <item>
      <title>Beyond note-taking with Fireflies</title>
      <itunes:episode>337</itunes:episode>
      <podcast:episode>337</podcast:episode>
      <itunes:title>Beyond note-taking with Fireflies</itunes:title>
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        <![CDATA[<p>Fireflies CEO, Krish Ramineni shares how the company is transforming AI-powered note-taking into a deeper layer of knowledge automation. He breaks down the technology behind real-time functionality like Live Assist, the user behavior patterns driving product evolution, and how Fireflies is innovating far beyond meetings. Krish also shares insights on future trends in AI and the potential for hardware integration, emphasizing the ongoing evolution of AI in knowledge work.</p><p>Featuring:</p><ul><li>Krish Ramineni – <a href="https://www.linkedin.com/in/krishramineni/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://fireflies.ai/?utm_source=google&amp;utm_medium=cpc&amp;utm_campaign=brand_generic&amp;utm_content=t3_eng&amp;utm_term=fireflies%20ai&amp;gad_source=1&amp;gad_campaignid=22223532138&amp;gbraid=0AAAAA-Os34oUk-ezo-P5YCtrVIq2M7Syi&amp;gclid=Cj0KCQiArOvIBhDLARIsAPwJXOYIp5jWfJ_dDb47HXab4depti-NGtBT6sI37P2axyimuI6KUfuib7waAvlWEALw_wcB">Fireflies AI</a></li></ul><p>Sponsors:</p><ul><li>Miro – Get the right things done faster with Miro's Innovation Workspace. AI Sidekicks, instant insights, and rapid prototyping—transform weeks of work into days. No more scattered docs or endless meetings. Help your teams get great done at <a href="https://miro.com">Miro.com</a>.</li><li>Framer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at <a href="https://www.framer.com/design/">framer.com/design</a> with code `PRACTICALAI` for a free month of Framer Pro.</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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        <![CDATA[<p>Fireflies CEO, Krish Ramineni shares how the company is transforming AI-powered note-taking into a deeper layer of knowledge automation. He breaks down the technology behind real-time functionality like Live Assist, the user behavior patterns driving product evolution, and how Fireflies is innovating far beyond meetings. Krish also shares insights on future trends in AI and the potential for hardware integration, emphasizing the ongoing evolution of AI in knowledge work.</p><p>Featuring:</p><ul><li>Krish Ramineni – <a href="https://www.linkedin.com/in/krishramineni/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://fireflies.ai/?utm_source=google&amp;utm_medium=cpc&amp;utm_campaign=brand_generic&amp;utm_content=t3_eng&amp;utm_term=fireflies%20ai&amp;gad_source=1&amp;gad_campaignid=22223532138&amp;gbraid=0AAAAA-Os34oUk-ezo-P5YCtrVIq2M7Syi&amp;gclid=Cj0KCQiArOvIBhDLARIsAPwJXOYIp5jWfJ_dDb47HXab4depti-NGtBT6sI37P2axyimuI6KUfuib7waAvlWEALw_wcB">Fireflies AI</a></li></ul><p>Sponsors:</p><ul><li>Miro – Get the right things done faster with Miro's Innovation Workspace. AI Sidekicks, instant insights, and rapid prototyping—transform weeks of work into days. No more scattered docs or endless meetings. Help your teams get great done at <a href="https://miro.com">Miro.com</a>.</li><li>Framer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at <a href="https://www.framer.com/design/">framer.com/design</a> with code `PRACTICALAI` for a free month of Framer Pro.</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 19 Nov 2025 12:59:41 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>2939</itunes:duration>
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        <![CDATA[<p>Fireflies CEO, Krish Ramineni shares how the company is transforming AI-powered note-taking into a deeper layer of knowledge automation. He breaks down the technology behind real-time functionality like Live Assist, the user behavior patterns driving product evolution, and how Fireflies is innovating far beyond meetings. Krish also shares insights on future trends in AI and the potential for hardware integration, emphasizing the ongoing evolution of AI in knowledge work.</p><p>Featuring:</p><ul><li>Krish Ramineni – <a href="https://www.linkedin.com/in/krishramineni/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://fireflies.ai/?utm_source=google&amp;utm_medium=cpc&amp;utm_campaign=brand_generic&amp;utm_content=t3_eng&amp;utm_term=fireflies%20ai&amp;gad_source=1&amp;gad_campaignid=22223532138&amp;gbraid=0AAAAA-Os34oUk-ezo-P5YCtrVIq2M7Syi&amp;gclid=Cj0KCQiArOvIBhDLARIsAPwJXOYIp5jWfJ_dDb47HXab4depti-NGtBT6sI37P2axyimuI6KUfuib7waAvlWEALw_wcB">Fireflies AI</a></li></ul><p>Sponsors:</p><ul><li>Miro – Get the right things done faster with Miro's Innovation Workspace. AI Sidekicks, instant insights, and rapid prototyping—transform weeks of work into days. No more scattered docs or endless meetings. Help your teams get great done at <a href="https://miro.com">Miro.com</a>.</li><li>Framer – Design and publish without limits with Framer, the free all-in-one design platform. Unlimited projects, no tool switching, and professional sites—no Figma imports or HTML hassles required. Start creating for free at <a href="https://www.framer.com/design/">framer.com/design</a> with code `PRACTICALAI` for a free month of Framer Pro.</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
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    <item>
      <title>Autonomous Vehicle Research at Waymo</title>
      <itunes:episode>336</itunes:episode>
      <podcast:episode>336</podcast:episode>
      <itunes:title>Autonomous Vehicle Research at Waymo</itunes:title>
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        <![CDATA[<p>Waymo’s VP of Research, Drago Anguelov, joins Practical AI to explore how advances in autonomy, vision models, and large-scale testing are shaping the future of driverless technology. The conversation dives into the dual challenges of building an onboard driver and testing that driver (via large scale simulation). Drago also gives us an update on what Waymo is doing to achieve intelligent, real-time performance while ensuring proven safety and reliability.</p><p>Featuring:</p><ul><li>Drago Anguelov – <a href="https://www.linkedin.com/in/dragomiranguelov/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://waymo.com/research/">Waymo Research</a></li><li><a href="https://waymo.com/blog/2025/06/scaling-laws-in-autonomous-driving">New Insights for Scaling Laws in Autonomous Driving</a></li><li><a href="https://www.youtube.com/watch?v=11WEL7sR1GA">AI in Motion</a></li></ul><p>Sponsors: </p><ul><li>Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at <a href="http://agntcy.org/">AGNTCY.org</a>.</li><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="http://fabi.ai/">Fabi.ai</a> - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at <a href="http://fabi.ai/">fabi.ai</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Waymo’s VP of Research, Drago Anguelov, joins Practical AI to explore how advances in autonomy, vision models, and large-scale testing are shaping the future of driverless technology. The conversation dives into the dual challenges of building an onboard driver and testing that driver (via large scale simulation). Drago also gives us an update on what Waymo is doing to achieve intelligent, real-time performance while ensuring proven safety and reliability.</p><p>Featuring:</p><ul><li>Drago Anguelov – <a href="https://www.linkedin.com/in/dragomiranguelov/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://waymo.com/research/">Waymo Research</a></li><li><a href="https://waymo.com/blog/2025/06/scaling-laws-in-autonomous-driving">New Insights for Scaling Laws in Autonomous Driving</a></li><li><a href="https://www.youtube.com/watch?v=11WEL7sR1GA">AI in Motion</a></li></ul><p>Sponsors: </p><ul><li>Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at <a href="http://agntcy.org/">AGNTCY.org</a>.</li><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="http://fabi.ai/">Fabi.ai</a> - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at <a href="http://fabi.ai/">fabi.ai</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <pubDate>Thu, 13 Nov 2025 10:33:36 -0500</pubDate>
      <author>Practical AI LLC</author>
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        <![CDATA[<p>Waymo’s VP of Research, Drago Anguelov, joins Practical AI to explore how advances in autonomy, vision models, and large-scale testing are shaping the future of driverless technology. The conversation dives into the dual challenges of building an onboard driver and testing that driver (via large scale simulation). Drago also gives us an update on what Waymo is doing to achieve intelligent, real-time performance while ensuring proven safety and reliability.</p><p>Featuring:</p><ul><li>Drago Anguelov – <a href="https://www.linkedin.com/in/dragomiranguelov/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://waymo.com/research/">Waymo Research</a></li><li><a href="https://waymo.com/blog/2025/06/scaling-laws-in-autonomous-driving">New Insights for Scaling Laws in Autonomous Driving</a></li><li><a href="https://www.youtube.com/watch?v=11WEL7sR1GA">AI in Motion</a></li></ul><p>Sponsors: </p><ul><li>Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at <a href="http://agntcy.org/">AGNTCY.org</a>.</li><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="http://fabi.ai/">Fabi.ai</a> - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at <a href="http://fabi.ai/">fabi.ai</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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      <title>Are we in an AI bubble?</title>
      <itunes:episode>335</itunes:episode>
      <podcast:episode>335</podcast:episode>
      <itunes:title>Are we in an AI bubble?</itunes:title>
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        <![CDATA[<p>Dan and Chris unpack whether today’s surge in AI deployment across enterprise workflows, manufacturing, healthcare, and scientific research signals a lasting transformation or an overhyped bubble. Drawing parallels to the dot-com era, they explore how technology integration is reshaping industries, affecting jobs, and even influencing human cognition, ultimately asking: is this a bubble, or just a fizzy new phase of innovation?</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links: </p><ul><li><a href="https://fortune.com/2025/10/29/powell-says-ai-is-not-a-bubble-unlike-dot-com-federal-reserve-interest-rates/?queryly=related_article">Powell says that, unlike the dotcom boom, AI spending isn’t a bubble: ‘I won’t go into particular names, but they actually have earnings’</a></li></ul><p>Sponsors:</p><ul><li>Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at <a href="http://agntcy.org/">AGNTCY.org</a>.</li><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="http://fabi.ai/">Fabi.ai</a> - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at <a href="http://fabi.ai/">fabi.ai</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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        <![CDATA[<p>Dan and Chris unpack whether today’s surge in AI deployment across enterprise workflows, manufacturing, healthcare, and scientific research signals a lasting transformation or an overhyped bubble. Drawing parallels to the dot-com era, they explore how technology integration is reshaping industries, affecting jobs, and even influencing human cognition, ultimately asking: is this a bubble, or just a fizzy new phase of innovation?</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links: </p><ul><li><a href="https://fortune.com/2025/10/29/powell-says-ai-is-not-a-bubble-unlike-dot-com-federal-reserve-interest-rates/?queryly=related_article">Powell says that, unlike the dotcom boom, AI spending isn’t a bubble: ‘I won’t go into particular names, but they actually have earnings’</a></li></ul><p>Sponsors:</p><ul><li>Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at <a href="http://agntcy.org/">AGNTCY.org</a>.</li><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="http://fabi.ai/">Fabi.ai</a> - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at <a href="http://fabi.ai/">fabi.ai</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <pubDate>Mon, 10 Nov 2025 09:18:57 -0500</pubDate>
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        <![CDATA[<p>Dan and Chris unpack whether today’s surge in AI deployment across enterprise workflows, manufacturing, healthcare, and scientific research signals a lasting transformation or an overhyped bubble. Drawing parallels to the dot-com era, they explore how technology integration is reshaping industries, affecting jobs, and even influencing human cognition, ultimately asking: is this a bubble, or just a fizzy new phase of innovation?</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links: </p><ul><li><a href="https://fortune.com/2025/10/29/powell-says-ai-is-not-a-bubble-unlike-dot-com-federal-reserve-interest-rates/?queryly=related_article">Powell says that, unlike the dotcom boom, AI spending isn’t a bubble: ‘I won’t go into particular names, but they actually have earnings’</a></li></ul><p>Sponsors:</p><ul><li>Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at <a href="http://agntcy.org/">AGNTCY.org</a>.</li><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="http://fabi.ai/">Fabi.ai</a> - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at <a href="http://fabi.ai/">fabi.ai</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
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      <title>While loops with tool calls</title>
      <itunes:episode>334</itunes:episode>
      <podcast:episode>334</podcast:episode>
      <itunes:title>While loops with tool calls</itunes:title>
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        <![CDATA[<p>Dan and Chris sit down (again) with Jared Zoneraich, co-founder and CEO of PromptLayer, to discuss how prompt engineering has evolved into context engineering (and while loops with tool calls). Jared shares insights on building flexible AI applications, managing tool calls, testing and versioning prompts, and empowering both technical and non-technical users in AI development. Along the way, they dive into coding agents and the “crawl-walk-run” approach to AI deployment.</p><p>Featuring: </p><ul><li>Jared Zoneraich – <a href="https://www.linkedin.com/in/imjaredz/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.promptlayer.com/">PromptLayer</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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        <![CDATA[<p>Dan and Chris sit down (again) with Jared Zoneraich, co-founder and CEO of PromptLayer, to discuss how prompt engineering has evolved into context engineering (and while loops with tool calls). Jared shares insights on building flexible AI applications, managing tool calls, testing and versioning prompts, and empowering both technical and non-technical users in AI development. Along the way, they dive into coding agents and the “crawl-walk-run” approach to AI deployment.</p><p>Featuring: </p><ul><li>Jared Zoneraich – <a href="https://www.linkedin.com/in/imjaredz/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.promptlayer.com/">PromptLayer</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <pubDate>Thu, 30 Oct 2025 16:39:08 -0400</pubDate>
      <author>Practical AI LLC</author>
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        <![CDATA[<p>Dan and Chris sit down (again) with Jared Zoneraich, co-founder and CEO of PromptLayer, to discuss how prompt engineering has evolved into context engineering (and while loops with tool calls). Jared shares insights on building flexible AI applications, managing tool calls, testing and versioning prompts, and empowering both technical and non-technical users in AI development. Along the way, they dive into coding agents and the “crawl-walk-run” approach to AI deployment.</p><p>Featuring: </p><ul><li>Jared Zoneraich – <a href="https://www.linkedin.com/in/imjaredz/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.promptlayer.com/">PromptLayer</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <itunes:explicit>No</itunes:explicit>
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      <title>Tiny Recursive Networks</title>
      <itunes:episode>333</itunes:episode>
      <podcast:episode>333</podcast:episode>
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        <![CDATA[<p>In this fully connected episode, Daniel and Chris explore the emerging concept of tiny recursive networks introduced by Samsung AI, contrasting them with large transformer based models. They explore how these small models tackle reasoning tasks with fewer parameters, less data, and iterative refinement, matching the giants on specific problems. They also discuss the ethical challenges of emotional manipulation in chatbots.</p><p>Featuring: </p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://arxiv.org/html/2510.04871v1">Less is More: Recursive Reasoning with Tiny Networks</a></li><li><a href="https://news.harvard.edu/gazette/story/2025/09/i-exist-solely-for-you-remember/">Researchers detail 6 ways chatbots seek to prolong ‘emotionally sensitive events’</a></li></ul><p>Sponsors:</p><ul><li>Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at <a href="http://agntcy.org/">AGNTCY.org</a>.</li><li><a href="http://fabi.ai/">Fabi.ai</a> - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at <a href="http://fabi.ai/">fabi.ai</a></li><li>Miro – The innovation workspace for the age of AI. Built for modern teams, Miro helps you turn unstructured ideas into structured outcomes—fast. Diagramming, product design, and AI-powered collaboration, all in one shared space. Start building at <a href="http://miro.com/">miro.com</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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        <![CDATA[<p>In this fully connected episode, Daniel and Chris explore the emerging concept of tiny recursive networks introduced by Samsung AI, contrasting them with large transformer based models. They explore how these small models tackle reasoning tasks with fewer parameters, less data, and iterative refinement, matching the giants on specific problems. They also discuss the ethical challenges of emotional manipulation in chatbots.</p><p>Featuring: </p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://arxiv.org/html/2510.04871v1">Less is More: Recursive Reasoning with Tiny Networks</a></li><li><a href="https://news.harvard.edu/gazette/story/2025/09/i-exist-solely-for-you-remember/">Researchers detail 6 ways chatbots seek to prolong ‘emotionally sensitive events’</a></li></ul><p>Sponsors:</p><ul><li>Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at <a href="http://agntcy.org/">AGNTCY.org</a>.</li><li><a href="http://fabi.ai/">Fabi.ai</a> - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at <a href="http://fabi.ai/">fabi.ai</a></li><li>Miro – The innovation workspace for the age of AI. Built for modern teams, Miro helps you turn unstructured ideas into structured outcomes—fast. Diagramming, product design, and AI-powered collaboration, all in one shared space. Start building at <a href="http://miro.com/">miro.com</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <pubDate>Fri, 24 Oct 2025 11:17:53 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>2903</itunes:duration>
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        <![CDATA[<p>In this fully connected episode, Daniel and Chris explore the emerging concept of tiny recursive networks introduced by Samsung AI, contrasting them with large transformer based models. They explore how these small models tackle reasoning tasks with fewer parameters, less data, and iterative refinement, matching the giants on specific problems. They also discuss the ethical challenges of emotional manipulation in chatbots.</p><p>Featuring: </p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://arxiv.org/html/2510.04871v1">Less is More: Recursive Reasoning with Tiny Networks</a></li><li><a href="https://news.harvard.edu/gazette/story/2025/09/i-exist-solely-for-you-remember/">Researchers detail 6 ways chatbots seek to prolong ‘emotionally sensitive events’</a></li></ul><p>Sponsors:</p><ul><li>Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at <a href="http://agntcy.org/">AGNTCY.org</a>.</li><li><a href="http://fabi.ai/">Fabi.ai</a> - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at <a href="http://fabi.ai/">fabi.ai</a></li><li>Miro – The innovation workspace for the age of AI. Built for modern teams, Miro helps you turn unstructured ideas into structured outcomes—fast. Diagramming, product design, and AI-powered collaboration, all in one shared space. Start building at <a href="http://miro.com/">miro.com</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
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      <title>Dealing with increasingly complicated agents </title>
      <itunes:episode>332</itunes:episode>
      <podcast:episode>332</podcast:episode>
      <itunes:title>Dealing with increasingly complicated agents </itunes:title>
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        <![CDATA[<p>As AI systems move from simple chatbots to complex agentic workflows, new security risks emerge. In this episode, Donato Capitella unpacks how increasingly complicated architectures are making agents fragile and vulnerable. These agents can be exploited through prompt injection, data exfiltration, and tool misuse. Donato shares stories from real-world penetration tests, the design patterns for building LLM agents and explains how his open-source toolkit Spikee (Simple Prompt Injection Kit for Evaluation and Exploitation) is helping red teams probe AI systems.</p><p>Featuring:</p><ul><li>Donato Capitella – <a href="https://www.linkedin.com/in/dcapitella/">LinkedIn</a>, <a href="https://x.com/dcapitella">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://reversec.com/">Reversec</a></li></ul><p>Sponsors:</p><ul><li>Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at <a href="http://agntcy.org/">AGNTCY.org</a>.</li><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="http://fabi.ai/">Fabi.ai</a> - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at <a href="http://fabi.ai/">fabi.ai</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <content:encoded>
        <![CDATA[<p>As AI systems move from simple chatbots to complex agentic workflows, new security risks emerge. In this episode, Donato Capitella unpacks how increasingly complicated architectures are making agents fragile and vulnerable. These agents can be exploited through prompt injection, data exfiltration, and tool misuse. Donato shares stories from real-world penetration tests, the design patterns for building LLM agents and explains how his open-source toolkit Spikee (Simple Prompt Injection Kit for Evaluation and Exploitation) is helping red teams probe AI systems.</p><p>Featuring:</p><ul><li>Donato Capitella – <a href="https://www.linkedin.com/in/dcapitella/">LinkedIn</a>, <a href="https://x.com/dcapitella">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://reversec.com/">Reversec</a></li></ul><p>Sponsors:</p><ul><li>Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at <a href="http://agntcy.org/">AGNTCY.org</a>.</li><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="http://fabi.ai/">Fabi.ai</a> - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at <a href="http://fabi.ai/">fabi.ai</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <pubDate>Thu, 16 Oct 2025 12:30:17 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>3296</itunes:duration>
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        <![CDATA[<p>As AI systems move from simple chatbots to complex agentic workflows, new security risks emerge. In this episode, Donato Capitella unpacks how increasingly complicated architectures are making agents fragile and vulnerable. These agents can be exploited through prompt injection, data exfiltration, and tool misuse. Donato shares stories from real-world penetration tests, the design patterns for building LLM agents and explains how his open-source toolkit Spikee (Simple Prompt Injection Kit for Evaluation and Exploitation) is helping red teams probe AI systems.</p><p>Featuring:</p><ul><li>Donato Capitella – <a href="https://www.linkedin.com/in/dcapitella/">LinkedIn</a>, <a href="https://x.com/dcapitella">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://reversec.com/">Reversec</a></li></ul><p>Sponsors:</p><ul><li>Outshift by Cisco - The open source collective building the Internet of Agents. Backed by Outshift by Cisco, AGNTCY gives developers the tools to build and deploy multi-agent software at scale. Identity, communication protocols, and modular workflows—all in one global collaboration layer. Start building at <a href="http://agntcy.org/">AGNTCY.org</a>.</li><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="http://fabi.ai/">Fabi.ai</a> - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it. Learn more and get started for free at <a href="http://fabi.ai/">fabi.ai</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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      <title>The impact of AI on the workforce: A state-level case study</title>
      <itunes:episode>331</itunes:episode>
      <podcast:episode>331</podcast:episode>
      <itunes:title>The impact of AI on the workforce: A state-level case study</itunes:title>
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        <![CDATA[<p>Daniel sits down with Chelsea Linder, VP of Innovation and Entrepreneurship at TechPoint, to explore the what AI innovation and impact look like on the ground.  They discuss Chelsea's journey from the VC world into economic development/ innovation, the growth of an AI innovation network in Indiana (funded by the SBA), lessons learned from fostering AI communities, and how businesses are actually adapting to AI. Chelsea also shares insights from Techpoints AI workforce impact study, which explored AI related job creation and levels of AI adoption among other things.</p><p>Featuring:</p><ul><li>Chelsea Linder – <a href="https://www.linkedin.com/in/chelseaclinder/">LinkedIn</a> </li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links: </p><ul><li><a href="https://techpoint.org/">Techpoint</a></li></ul><p>Sponsors:</p><ul><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. <br>Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="http://fabi.ai/">Fabi.ai</a> - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it.<br>Learn more and get started for free at <a href="http://fabi.ai/">fabi.ai</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <content:encoded>
        <![CDATA[<p>Daniel sits down with Chelsea Linder, VP of Innovation and Entrepreneurship at TechPoint, to explore the what AI innovation and impact look like on the ground.  They discuss Chelsea's journey from the VC world into economic development/ innovation, the growth of an AI innovation network in Indiana (funded by the SBA), lessons learned from fostering AI communities, and how businesses are actually adapting to AI. Chelsea also shares insights from Techpoints AI workforce impact study, which explored AI related job creation and levels of AI adoption among other things.</p><p>Featuring:</p><ul><li>Chelsea Linder – <a href="https://www.linkedin.com/in/chelseaclinder/">LinkedIn</a> </li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links: </p><ul><li><a href="https://techpoint.org/">Techpoint</a></li></ul><p>Sponsors:</p><ul><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. <br>Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="http://fabi.ai/">Fabi.ai</a> - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it.<br>Learn more and get started for free at <a href="http://fabi.ai/">fabi.ai</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Thu, 09 Oct 2025 09:02:04 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>2644</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel sits down with Chelsea Linder, VP of Innovation and Entrepreneurship at TechPoint, to explore the what AI innovation and impact look like on the ground.  They discuss Chelsea's journey from the VC world into economic development/ innovation, the growth of an AI innovation network in Indiana (funded by the SBA), lessons learned from fostering AI communities, and how businesses are actually adapting to AI. Chelsea also shares insights from Techpoints AI workforce impact study, which explored AI related job creation and levels of AI adoption among other things.</p><p>Featuring:</p><ul><li>Chelsea Linder – <a href="https://www.linkedin.com/in/chelseaclinder/">LinkedIn</a> </li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links: </p><ul><li><a href="https://techpoint.org/">Techpoint</a></li></ul><p>Sponsors:</p><ul><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. <br>Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="http://fabi.ai/">Fabi.ai</a> - The all-in-one data analysis platform for modern teams. From ad hoc queries to advanced analytics, Fabi lets you explore data wherever it lives—spreadsheets, Postgres, Snowflake, Airtable and more. Built-in Python and AI assistance help you move fast, then publish interactive dashboards or automate insights delivered straight to Slack, email, spreadsheets or wherever you need to share it.<br>Learn more and get started for free at <a href="http://fabi.ai/">fabi.ai</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://practicalai.fm/people/chelsea-linder" img="https://img.transistorcdn.com/GUJTaUc2AXgAi8gFGYuNhCM_JBitC2or0avsYrLIAk4/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xNjAx/YmEwNDNhMWEyMTY0/MTA5ZmQzOTY5NTZj/OTc5Mi5qcGc.jpg">Chelsea Linder</podcast:person>
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    <item>
      <title>We've all done RAG, now what?</title>
      <itunes:episode>330</itunes:episode>
      <podcast:episode>330</podcast:episode>
      <itunes:title>We've all done RAG, now what?</itunes:title>
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        <![CDATA[<p>Longtime friend of the show Rajiv Shah returns to unpack lessons from a year of building retrieval-augmented generation (RAG) pipelines and reasoning models integrations. We dive into why so many AI pilots stumble, why evaluation and error analysis remain essential data science skills, and why not every enterprise challenge calls for a large language model.</p><p>Featuring:</p><ul><li>Rajiv Shah – <a href="https://www.linkedin.com/in/rajistics/">LinkedIn</a> </li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <content:encoded>
        <![CDATA[<p>Longtime friend of the show Rajiv Shah returns to unpack lessons from a year of building retrieval-augmented generation (RAG) pipelines and reasoning models integrations. We dive into why so many AI pilots stumble, why evaluation and error analysis remain essential data science skills, and why not every enterprise challenge calls for a large language model.</p><p>Featuring:</p><ul><li>Rajiv Shah – <a href="https://www.linkedin.com/in/rajistics/">LinkedIn</a> </li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <pubDate>Mon, 29 Sep 2025 16:46:04 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
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      <itunes:duration>2615</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Longtime friend of the show Rajiv Shah returns to unpack lessons from a year of building retrieval-augmented generation (RAG) pipelines and reasoning models integrations. We dive into why so many AI pilots stumble, why evaluation and error analysis remain essential data science skills, and why not every enterprise challenge calls for a large language model.</p><p>Featuring:</p><ul><li>Rajiv Shah – <a href="https://www.linkedin.com/in/rajistics/">LinkedIn</a> </li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/rajshah" img="https://img.transistorcdn.com/TVlOAYwprDpwVadwGWxcZ-jkCQR_4NwzPOqvZDPMtDE/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zNDdh/NTk3ODhkOWZkNzIy/MzVjNTA1ZThiNGQ2/ODUwMS5qcGc.jpg">Rajiv Shah</podcast:person>
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    <item>
      <title>Creating a private AI assistant in Thunderbird</title>
      <itunes:episode>329</itunes:episode>
      <podcast:episode>329</podcast:episode>
      <itunes:title>Creating a private AI assistant in Thunderbird</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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        <![CDATA[<p>In this episode, Daniel and Chris are joined by Chris Aquino, software engineer at Thunderbird to hear the story of how they developed a privacy-preserving AI executive assistant. They discuss various design decisions including remote (but confidential) inference, local encryption, and model selection. Chris A. does an amazing job describing the journey from "let the big LLM do everything" to splitting apart the workflow to be handled by multiple models. </p><p>Featuring:</p><ul><li>Chris Aquino – <a href="https://www.linkedin.com/in/chris-aquino-9a86044/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links: </p><ul><li><a href="https://www.thunderbird.net/en-US/">Thunderbird</a></li><li><a href="https://tb.pro/">Thunderbird Pro</a></li></ul><p>Sponsors:</p><ul><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce.<br>Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this episode, Daniel and Chris are joined by Chris Aquino, software engineer at Thunderbird to hear the story of how they developed a privacy-preserving AI executive assistant. They discuss various design decisions including remote (but confidential) inference, local encryption, and model selection. Chris A. does an amazing job describing the journey from "let the big LLM do everything" to splitting apart the workflow to be handled by multiple models. </p><p>Featuring:</p><ul><li>Chris Aquino – <a href="https://www.linkedin.com/in/chris-aquino-9a86044/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links: </p><ul><li><a href="https://www.thunderbird.net/en-US/">Thunderbird</a></li><li><a href="https://tb.pro/">Thunderbird Pro</a></li></ul><p>Sponsors:</p><ul><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce.<br>Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 23 Sep 2025 15:50:58 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
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      <itunes:duration>3188</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this episode, Daniel and Chris are joined by Chris Aquino, software engineer at Thunderbird to hear the story of how they developed a privacy-preserving AI executive assistant. They discuss various design decisions including remote (but confidential) inference, local encryption, and model selection. Chris A. does an amazing job describing the journey from "let the big LLM do everything" to splitting apart the workflow to be handled by multiple models. </p><p>Featuring:</p><ul><li>Chris Aquino – <a href="https://www.linkedin.com/in/chris-aquino-9a86044/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links: </p><ul><li><a href="https://www.thunderbird.net/en-US/">Thunderbird</a></li><li><a href="https://tb.pro/">Thunderbird Pro</a></li></ul><p>Sponsors:</p><ul><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce.<br>Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
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      <podcast:person role="Guest" href="https://practicalai.fm/people/chris-aquino" img="https://img.transistorcdn.com/tHAbaTYd0I8AbQYppqdIACxseQi2nymbM-SU19a1GnY/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81MDQy/YzdhNmE5NzU4YTk3/NmUzNzE0Yzc5YjNh/YTE3ZS5qcGc.jpg">Chris Aquino</podcast:person>
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    <item>
      <title>Cracking the code of failed AI pilots</title>
      <itunes:episode>328</itunes:episode>
      <podcast:episode>328</podcast:episode>
      <itunes:title>Cracking the code of failed AI pilots</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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        <![CDATA[<p>In this Fully Connected episode, we dig into the recent MIT report revealing that 95% of AI pilots fail before reaching production and explore what it actually takes to succeed with AI solutions. We dive into the importance of AI model integration, asking the right questions when adopting new technologies, and why simply accessing a powerful model isn’t enough. We explore the latest AI trends, from GPT-5 to open source models, and their impact on jobs, machine learning, and enterprise strategy. </p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links: </p><ul><li><a href="https://mlq.ai/media/quarterly_decks/v0.1_State_of_AI_in_Business_2025_Report.pdf">The GenAI Divide: State of AI in Business 2025</a></li><li><a href="https://fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo/">MIT Report: 95% of generative AI pilots at companies are failing</a></li></ul><p>Sponsors:</p><ul><li>Miro – The innovation workspace for the age of AI. Built for modern teams, Miro helps you turn unstructured ideas into structured outcomes—fast. Diagramming, product design, and AI-powered collaboration, all in one shared space. Start building at <a href="http://miro.com/">miro.com</a></li><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce.<br>Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <content:encoded>
        <![CDATA[<p>In this Fully Connected episode, we dig into the recent MIT report revealing that 95% of AI pilots fail before reaching production and explore what it actually takes to succeed with AI solutions. We dive into the importance of AI model integration, asking the right questions when adopting new technologies, and why simply accessing a powerful model isn’t enough. We explore the latest AI trends, from GPT-5 to open source models, and their impact on jobs, machine learning, and enterprise strategy. </p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links: </p><ul><li><a href="https://mlq.ai/media/quarterly_decks/v0.1_State_of_AI_in_Business_2025_Report.pdf">The GenAI Divide: State of AI in Business 2025</a></li><li><a href="https://fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo/">MIT Report: 95% of generative AI pilots at companies are failing</a></li></ul><p>Sponsors:</p><ul><li>Miro – The innovation workspace for the age of AI. Built for modern teams, Miro helps you turn unstructured ideas into structured outcomes—fast. Diagramming, product design, and AI-powered collaboration, all in one shared space. Start building at <a href="http://miro.com/">miro.com</a></li><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce.<br>Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <pubDate>Thu, 11 Sep 2025 11:16:03 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>2804</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this Fully Connected episode, we dig into the recent MIT report revealing that 95% of AI pilots fail before reaching production and explore what it actually takes to succeed with AI solutions. We dive into the importance of AI model integration, asking the right questions when adopting new technologies, and why simply accessing a powerful model isn’t enough. We explore the latest AI trends, from GPT-5 to open source models, and their impact on jobs, machine learning, and enterprise strategy. </p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links: </p><ul><li><a href="https://mlq.ai/media/quarterly_decks/v0.1_State_of_AI_in_Business_2025_Report.pdf">The GenAI Divide: State of AI in Business 2025</a></li><li><a href="https://fortune.com/2025/08/18/mit-report-95-percent-generative-ai-pilots-at-companies-failing-cfo/">MIT Report: 95% of generative AI pilots at companies are failing</a></li></ul><p>Sponsors:</p><ul><li>Miro – The innovation workspace for the age of AI. Built for modern teams, Miro helps you turn unstructured ideas into structured outcomes—fast. Diagramming, product design, and AI-powered collaboration, all in one shared space. Start building at <a href="http://miro.com/">miro.com</a></li><li>Shopify – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce.<br>Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Upcoming Events: </p><ul><li>Join us at the <a href="https://midwestaisummit.com/">Midwest AI Summit</a> on November 13 in Indianapolis to hear world-class speakers share how they’ve scaled AI solutions. Don’t miss the <strong>AI Engineering Lounge</strong>, where you can sit down with experts for hands-on guidance. Reserve your spot today!</li><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
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      <title>GenAI risks and global adoption</title>
      <itunes:episode>327</itunes:episode>
      <podcast:episode>327</podcast:episode>
      <itunes:title>GenAI risks and global adoption</itunes:title>
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        <![CDATA[<p>Daniel and Chris sit with Citadel AI’s Rick Kobayashi and Kenny Song and unpack AI safety and security challenges in the generative AI era. They compare Japan’s approach to AI adoption with the US’s, and explore the implications of real-world failures in AI systems, along with strategies for AI monitoring and evaluation.</p><p>Featuring:</p><ul><li>Rick Kobayashi – <a href="https://www.linkedin.com/in/hironori-kobayashi-5371/">LinkedIn</a></li><li>Kenny Song – <a href="https://www.linkedin.com/in/kennysong/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://citadel-ai.com/">Citadel AI</a></li></ul><p>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</p>]]>
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      <content:encoded>
        <![CDATA[<p>Daniel and Chris sit with Citadel AI’s Rick Kobayashi and Kenny Song and unpack AI safety and security challenges in the generative AI era. They compare Japan’s approach to AI adoption with the US’s, and explore the implications of real-world failures in AI systems, along with strategies for AI monitoring and evaluation.</p><p>Featuring:</p><ul><li>Rick Kobayashi – <a href="https://www.linkedin.com/in/hironori-kobayashi-5371/">LinkedIn</a></li><li>Kenny Song – <a href="https://www.linkedin.com/in/kennysong/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://citadel-ai.com/">Citadel AI</a></li></ul><p>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</p>]]>
      </content:encoded>
      <pubDate>Wed, 27 Aug 2025 11:19:09 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>2600</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel and Chris sit with Citadel AI’s Rick Kobayashi and Kenny Song and unpack AI safety and security challenges in the generative AI era. They compare Japan’s approach to AI adoption with the US’s, and explore the implications of real-world failures in AI systems, along with strategies for AI monitoring and evaluation.</p><p>Featuring:</p><ul><li>Rick Kobayashi – <a href="https://www.linkedin.com/in/hironori-kobayashi-5371/">LinkedIn</a></li><li>Kenny Song – <a href="https://www.linkedin.com/in/kennysong/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://citadel-ai.com/">Citadel AI</a></li></ul><p>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</p>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
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    <item>
      <title>Inside America’s AI Action Plan</title>
      <itunes:episode>326</itunes:episode>
      <podcast:episode>326</podcast:episode>
      <itunes:title>Inside America’s AI Action Plan</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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        <![CDATA[<p>Dan and Chris break down <a href="https://www.whitehouse.gov/wp-content/uploads/2025/07/Americas-AI-Action-Plan.pdf"><strong><em>Winning the Race: America's AI Action Plan</em></strong></a>, issued by the White House in July 2025.  Structured as three "pillars" — <em>Accelerate AI Innovation</em>, <em>Build American AI Infrastructure</em>, and <em>Lead in International AI Diplomacy and Security</em> — our dynamic duo unpack the plan's policy goals and its associated suggestions — while also exploring the mixed reactions it’s sparked across political lines. They connect the plan to international AI diplomacy and national security interests, discuss its implications for practitioners, and consider how political realities could shape its success in the years ahead. </p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li>Press Release: <a href="https://www.whitehouse.gov/articles/2025/07/white-house-unveils-americas-ai-action-plan/">White House Unveils America's AI Action Plan</a></li><li>Paper: <a href="https://www.whitehouse.gov/wp-content/uploads/2025/07/Americas-AI-Action-Plan.pdf">America's AI Action Plan</a></li></ul><p>Sponsors:</p><ul><li><a href="https://www.shopify.com/in?utm_source=podcast&amp;utm_medium=audio&amp;utm_campaign=us-all-na-awareness-1q24-en&amp;utm_term=practicalai&amp;utm_content=practicalai">Shopify</a> – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</p>]]>
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        <![CDATA[<p>Dan and Chris break down <a href="https://www.whitehouse.gov/wp-content/uploads/2025/07/Americas-AI-Action-Plan.pdf"><strong><em>Winning the Race: America's AI Action Plan</em></strong></a>, issued by the White House in July 2025.  Structured as three "pillars" — <em>Accelerate AI Innovation</em>, <em>Build American AI Infrastructure</em>, and <em>Lead in International AI Diplomacy and Security</em> — our dynamic duo unpack the plan's policy goals and its associated suggestions — while also exploring the mixed reactions it’s sparked across political lines. They connect the plan to international AI diplomacy and national security interests, discuss its implications for practitioners, and consider how political realities could shape its success in the years ahead. </p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li>Press Release: <a href="https://www.whitehouse.gov/articles/2025/07/white-house-unveils-americas-ai-action-plan/">White House Unveils America's AI Action Plan</a></li><li>Paper: <a href="https://www.whitehouse.gov/wp-content/uploads/2025/07/Americas-AI-Action-Plan.pdf">America's AI Action Plan</a></li></ul><p>Sponsors:</p><ul><li><a href="https://www.shopify.com/in?utm_source=podcast&amp;utm_medium=audio&amp;utm_campaign=us-all-na-awareness-1q24-en&amp;utm_term=practicalai&amp;utm_content=practicalai">Shopify</a> – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</p>]]>
      </content:encoded>
      <pubDate>Tue, 19 Aug 2025 09:51:16 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>2632</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Dan and Chris break down <a href="https://www.whitehouse.gov/wp-content/uploads/2025/07/Americas-AI-Action-Plan.pdf"><strong><em>Winning the Race: America's AI Action Plan</em></strong></a>, issued by the White House in July 2025.  Structured as three "pillars" — <em>Accelerate AI Innovation</em>, <em>Build American AI Infrastructure</em>, and <em>Lead in International AI Diplomacy and Security</em> — our dynamic duo unpack the plan's policy goals and its associated suggestions — while also exploring the mixed reactions it’s sparked across political lines. They connect the plan to international AI diplomacy and national security interests, discuss its implications for practitioners, and consider how political realities could shape its success in the years ahead. </p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li>Press Release: <a href="https://www.whitehouse.gov/articles/2025/07/white-house-unveils-americas-ai-action-plan/">White House Unveils America's AI Action Plan</a></li><li>Paper: <a href="https://www.whitehouse.gov/wp-content/uploads/2025/07/Americas-AI-Action-Plan.pdf">America's AI Action Plan</a></li></ul><p>Sponsors:</p><ul><li><a href="https://www.shopify.com/in?utm_source=podcast&amp;utm_medium=audio&amp;utm_campaign=us-all-na-awareness-1q24-en&amp;utm_term=practicalai&amp;utm_content=practicalai">Shopify</a> – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</p>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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      <title>Confident, strategic AI leadership</title>
      <itunes:episode>325</itunes:episode>
      <podcast:episode>325</podcast:episode>
      <itunes:title>Confident, strategic AI leadership</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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        <![CDATA[<p>Allegra Guinan of Lumiera helps leaders turn uncertainty about AI into confident, strategic leadership. In this conversation, she brings some actionable insights for navigating the hype and complexity of AI. The discussion covers challenges with implementing responsible AI practices, the growing importance of user experience and product thinking, and how leaders can focus on real-world business problems over abstract experimentation.</p><p>Featuring:</p><ul><li>Allegra Guinan – <a href="https://www.linkedin.com/in/allegraguinan/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.lumiera.ai/">Lumiera</a></li></ul><p>Sponsors:</p><ul><li><a href="https://www.shopify.com/in?utm_source=podcast&amp;utm_medium=audio&amp;utm_campaign=us-all-na-awareness-1q24-en&amp;utm_term=practicalai&amp;utm_content=practicalai">Shopify</a> – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Allegra Guinan of Lumiera helps leaders turn uncertainty about AI into confident, strategic leadership. In this conversation, she brings some actionable insights for navigating the hype and complexity of AI. The discussion covers challenges with implementing responsible AI practices, the growing importance of user experience and product thinking, and how leaders can focus on real-world business problems over abstract experimentation.</p><p>Featuring:</p><ul><li>Allegra Guinan – <a href="https://www.linkedin.com/in/allegraguinan/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.lumiera.ai/">Lumiera</a></li></ul><p>Sponsors:</p><ul><li><a href="https://www.shopify.com/in?utm_source=podcast&amp;utm_medium=audio&amp;utm_campaign=us-all-na-awareness-1q24-en&amp;utm_term=practicalai&amp;utm_content=practicalai">Shopify</a> – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</p>]]>
      </content:encoded>
      <pubDate>Tue, 12 Aug 2025 14:03:38 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
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      <itunes:duration>2860</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Allegra Guinan of Lumiera helps leaders turn uncertainty about AI into confident, strategic leadership. In this conversation, she brings some actionable insights for navigating the hype and complexity of AI. The discussion covers challenges with implementing responsible AI practices, the growing importance of user experience and product thinking, and how leaders can focus on real-world business problems over abstract experimentation.</p><p>Featuring:</p><ul><li>Allegra Guinan – <a href="https://www.linkedin.com/in/allegraguinan/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.lumiera.ai/">Lumiera</a></li></ul><p>Sponsors:</p><ul><li><a href="https://www.shopify.com/in?utm_source=podcast&amp;utm_medium=audio&amp;utm_campaign=us-all-na-awareness-1q24-en&amp;utm_term=practicalai&amp;utm_content=practicalai">Shopify</a> – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</p>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
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    <item>
      <title>Educating a data-literate generation</title>
      <itunes:episode>324</itunes:episode>
      <podcast:episode>324</podcast:episode>
      <itunes:title>Educating a data-literate generation</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/a952cb30</link>
      <description>
        <![CDATA[<p>Dan sits down with guests Mark Daniel Ward and Katie Sanders from The Data Mine at Purdue University to explore how higher education is evolving to meet the demands of the AI-driven workforce. They share how their program blends interdisciplinary learning, corporate partnerships, and real-world data science projects to better prepare students across 160+ majors. From AI chatbots to agricultural forecasting, they discuss the power of living-learning communities, how the data mine model is spreading to other institutions and what it reveals about the future of education, workforce development, and applied AI training.</p><p>Featuring:</p><ul><li>Mark Daniel Ward – <a href="https://www.linkedin.com/in/mdw333/">LinkedIn</a></li><li>Katie Sanders – <a href="https://www.linkedin.com/in/katiepechinsanders/">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://datamine.purdue.edu/">The Data Mine</a></li></ul><p>Sponsors:</p><ul><li><a href="https://www.shopify.com/in?utm_source=podcast&amp;utm_medium=audio&amp;utm_campaign=us-all-na-awareness-1q24-en&amp;utm_term=practicalai&amp;utm_content=practicalai">Shopify</a> – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Dan sits down with guests Mark Daniel Ward and Katie Sanders from The Data Mine at Purdue University to explore how higher education is evolving to meet the demands of the AI-driven workforce. They share how their program blends interdisciplinary learning, corporate partnerships, and real-world data science projects to better prepare students across 160+ majors. From AI chatbots to agricultural forecasting, they discuss the power of living-learning communities, how the data mine model is spreading to other institutions and what it reveals about the future of education, workforce development, and applied AI training.</p><p>Featuring:</p><ul><li>Mark Daniel Ward – <a href="https://www.linkedin.com/in/mdw333/">LinkedIn</a></li><li>Katie Sanders – <a href="https://www.linkedin.com/in/katiepechinsanders/">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://datamine.purdue.edu/">The Data Mine</a></li></ul><p>Sponsors:</p><ul><li><a href="https://www.shopify.com/in?utm_source=podcast&amp;utm_medium=audio&amp;utm_campaign=us-all-na-awareness-1q24-en&amp;utm_term=practicalai&amp;utm_content=practicalai">Shopify</a> – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</p>]]>
      </content:encoded>
      <pubDate>Fri, 08 Aug 2025 12:40:01 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/a952cb30/c4daf7a6.mp3" length="43102364" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/Ohz1UgiBPP20ZEkiirLuydSXZu3qkUP_EEkn1IIxOWU/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lMDNm/MDJkMjUyNTcyNjM3/MDYxYmQ2MDA2MDUx/NTIyNC5qcGc.jpg"/>
      <itunes:duration>2681</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Dan sits down with guests Mark Daniel Ward and Katie Sanders from The Data Mine at Purdue University to explore how higher education is evolving to meet the demands of the AI-driven workforce. They share how their program blends interdisciplinary learning, corporate partnerships, and real-world data science projects to better prepare students across 160+ majors. From AI chatbots to agricultural forecasting, they discuss the power of living-learning communities, how the data mine model is spreading to other institutions and what it reveals about the future of education, workforce development, and applied AI training.</p><p>Featuring:</p><ul><li>Mark Daniel Ward – <a href="https://www.linkedin.com/in/mdw333/">LinkedIn</a></li><li>Katie Sanders – <a href="https://www.linkedin.com/in/katiepechinsanders/">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://datamine.purdue.edu/">The Data Mine</a></li></ul><p>Sponsors:</p><ul><li><a href="https://www.shopify.com/in?utm_source=podcast&amp;utm_medium=audio&amp;utm_campaign=us-all-na-awareness-1q24-en&amp;utm_term=practicalai&amp;utm_content=practicalai">Shopify</a> – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</p>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>Workforce dynamics in an AI-assisted world</title>
      <itunes:episode>323</itunes:episode>
      <podcast:episode>323</podcast:episode>
      <itunes:title>Workforce dynamics in an AI-assisted world</itunes:title>
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      <description>
        <![CDATA[<p>We unpack how AI is reshaping hiring decisions, shifting job roles, and creating new expectations for professionals — from engineers to marketers. They explore the rise of AI-assisted teams, the growing compensation bubble, why continuous learning is now table stakes, and how some service providers are quietly riding the AI wave.</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Sponsors:</p><ul><li><a href="https://agntcy.org/">Outshift by Cisco</a>: AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows."</li></ul><p>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</p>]]>
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      <content:encoded>
        <![CDATA[<p>We unpack how AI is reshaping hiring decisions, shifting job roles, and creating new expectations for professionals — from engineers to marketers. They explore the rise of AI-assisted teams, the growing compensation bubble, why continuous learning is now table stakes, and how some service providers are quietly riding the AI wave.</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Sponsors:</p><ul><li><a href="https://agntcy.org/">Outshift by Cisco</a>: AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows."</li></ul><p>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</p>]]>
      </content:encoded>
      <pubDate>Fri, 01 Aug 2025 13:25:25 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
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      <itunes:duration>2646</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We unpack how AI is reshaping hiring decisions, shifting job roles, and creating new expectations for professionals — from engineers to marketers. They explore the rise of AI-assisted teams, the growing compensation bubble, why continuous learning is now table stakes, and how some service providers are quietly riding the AI wave.</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Sponsors:</p><ul><li><a href="https://agntcy.org/">Outshift by Cisco</a>: AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows."</li></ul><p>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</p>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
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    <item>
      <title>Reimagining actuarial science with AI</title>
      <itunes:episode>322</itunes:episode>
      <podcast:episode>322</podcast:episode>
      <itunes:title>Reimagining actuarial science with AI</itunes:title>
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        <![CDATA[<p>In this episode, Chris sits down with Igor Nikitin, CEO and co-founder of Nice Technologies, to explore how AI and modern engineering practices are transforming the actuarial field and setting the stage for the future of actuarial modeling. We discuss the introduction of programming into insurance pricing workflows, and how their Python-based calc engine, AI copilots, and DevOps-inspired workflows are enabling actuaries to collaborate more effectively across teams while accelerating innovation. </p><p>Featuring:</p><ul><li>Igor Nikitin – <a href="https://www.linkedin.com/in/igor-nikitin-asa/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.nicetechnologies.com/">Nice Technologies</a></li></ul><p>Sponsors:</p><ul><li><a href="http://shopify.com/practicalai">Shopify</a> – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</p>]]>
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      <content:encoded>
        <![CDATA[<p>In this episode, Chris sits down with Igor Nikitin, CEO and co-founder of Nice Technologies, to explore how AI and modern engineering practices are transforming the actuarial field and setting the stage for the future of actuarial modeling. We discuss the introduction of programming into insurance pricing workflows, and how their Python-based calc engine, AI copilots, and DevOps-inspired workflows are enabling actuaries to collaborate more effectively across teams while accelerating innovation. </p><p>Featuring:</p><ul><li>Igor Nikitin – <a href="https://www.linkedin.com/in/igor-nikitin-asa/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.nicetechnologies.com/">Nice Technologies</a></li></ul><p>Sponsors:</p><ul><li><a href="http://shopify.com/practicalai">Shopify</a> – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</p>]]>
      </content:encoded>
      <pubDate>Fri, 25 Jul 2025 10:41:35 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
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      <itunes:duration>2459</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this episode, Chris sits down with Igor Nikitin, CEO and co-founder of Nice Technologies, to explore how AI and modern engineering practices are transforming the actuarial field and setting the stage for the future of actuarial modeling. We discuss the introduction of programming into insurance pricing workflows, and how their Python-based calc engine, AI copilots, and DevOps-inspired workflows are enabling actuaries to collaborate more effectively across teams while accelerating innovation. </p><p>Featuring:</p><ul><li>Igor Nikitin – <a href="https://www.linkedin.com/in/igor-nikitin-asa/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.nicetechnologies.com/">Nice Technologies</a></li></ul><p>Sponsors:</p><ul><li><a href="http://shopify.com/practicalai">Shopify</a> – The commerce platform trusted by millions. From idea to checkout, Shopify gives you everything you need to launch and scale your business—no matter your level of experience. Build beautiful storefronts, market with built-in AI tools, and tap into the platform powering 10% of all U.S. eCommerce. Start your one-dollar trial at <a href="http://shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</p>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
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    <item>
      <title>Agentic AI for Drone &amp; Robotic Swarming</title>
      <itunes:episode>321</itunes:episode>
      <podcast:episode>321</podcast:episode>
      <itunes:title>Agentic AI for Drone &amp; Robotic Swarming</itunes:title>
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        <![CDATA[<p>In this episode of Practical AI, Chris and Daniel explore the fascinating world of agentic AI for drone and robotic swarms, which is Chris's passion and professional focus. They unpack how autonomous vehicles (UxV), drones (UaV), and other autonomous multi-agent systems can collaborate without centralized control while exhibiting complex emergent behavior with agency and self-governance to accomplish a mission or shared goals. Chris and Dan delve into the role of AI real-time inference and edge computing to enable complex agentic multi-model autonomy, especially in challenging environments like disaster zones and remote industrial operations.</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.ros.org">ROS - Robotic Operating System</a></li><li><a href="https://gazebosim.org">Gazebo</a></li><li><a href="https://huggingface.co/agents-course">Hugging Face Agents Course</a></li><li><a href="https://en.wikipedia.org/wiki/Swarm_robotics">Swarm Robotics | Wikipedia</a></li></ul><p><br>Chris's definition of Swarming:<br><em>Swarming occurs when numerous independent fully-autonomous multi-agentic platforms exhibit highly-coordinated locomotive and emergent behaviors with agency and self-governance in any domain (air, ground, sea, undersea, space), functioning as a single independent logical distributed decentralized decisioning entity for purposes of C3 (command, control, communications) with human operators on-the-loop, to implement actions that achieve strategic, tactical, or operational effects in the furtherance of a mission.<br>© 2025 Chris Benson</em></p><p>Sponsors:</p><ul><li><a href="https://agntcy.org/">Outshift by Cisco</a>: AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows.</li></ul>]]>
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      <content:encoded>
        <![CDATA[<p>In this episode of Practical AI, Chris and Daniel explore the fascinating world of agentic AI for drone and robotic swarms, which is Chris's passion and professional focus. They unpack how autonomous vehicles (UxV), drones (UaV), and other autonomous multi-agent systems can collaborate without centralized control while exhibiting complex emergent behavior with agency and self-governance to accomplish a mission or shared goals. Chris and Dan delve into the role of AI real-time inference and edge computing to enable complex agentic multi-model autonomy, especially in challenging environments like disaster zones and remote industrial operations.</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.ros.org">ROS - Robotic Operating System</a></li><li><a href="https://gazebosim.org">Gazebo</a></li><li><a href="https://huggingface.co/agents-course">Hugging Face Agents Course</a></li><li><a href="https://en.wikipedia.org/wiki/Swarm_robotics">Swarm Robotics | Wikipedia</a></li></ul><p><br>Chris's definition of Swarming:<br><em>Swarming occurs when numerous independent fully-autonomous multi-agentic platforms exhibit highly-coordinated locomotive and emergent behaviors with agency and self-governance in any domain (air, ground, sea, undersea, space), functioning as a single independent logical distributed decentralized decisioning entity for purposes of C3 (command, control, communications) with human operators on-the-loop, to implement actions that achieve strategic, tactical, or operational effects in the furtherance of a mission.<br>© 2025 Chris Benson</em></p><p>Sponsors:</p><ul><li><a href="https://agntcy.org/">Outshift by Cisco</a>: AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows.</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 15 Jul 2025 12:37:07 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
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      <itunes:duration>2787</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this episode of Practical AI, Chris and Daniel explore the fascinating world of agentic AI for drone and robotic swarms, which is Chris's passion and professional focus. They unpack how autonomous vehicles (UxV), drones (UaV), and other autonomous multi-agent systems can collaborate without centralized control while exhibiting complex emergent behavior with agency and self-governance to accomplish a mission or shared goals. Chris and Dan delve into the role of AI real-time inference and edge computing to enable complex agentic multi-model autonomy, especially in challenging environments like disaster zones and remote industrial operations.</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.ros.org">ROS - Robotic Operating System</a></li><li><a href="https://gazebosim.org">Gazebo</a></li><li><a href="https://huggingface.co/agents-course">Hugging Face Agents Course</a></li><li><a href="https://en.wikipedia.org/wiki/Swarm_robotics">Swarm Robotics | Wikipedia</a></li></ul><p><br>Chris's definition of Swarming:<br><em>Swarming occurs when numerous independent fully-autonomous multi-agentic platforms exhibit highly-coordinated locomotive and emergent behaviors with agency and self-governance in any domain (air, ground, sea, undersea, space), functioning as a single independent logical distributed decentralized decisioning entity for purposes of C3 (command, control, communications) with human operators on-the-loop, to implement actions that achieve strategic, tactical, or operational effects in the furtherance of a mission.<br>© 2025 Chris Benson</em></p><p>Sponsors:</p><ul><li><a href="https://agntcy.org/">Outshift by Cisco</a>: AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows.</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>AI in the shadows: From hallucinations to blackmail</title>
      <itunes:episode>320</itunes:episode>
      <podcast:episode>320</podcast:episode>
      <itunes:title>AI in the shadows: From hallucinations to blackmail</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <description>
        <![CDATA[<p>In the first episode of an "AI in the shadows" theme, Chris and Daniel explore the increasing concerning world of agentic misalignment. Starting out with a reminder about hallucinations and reasoning models, they break down how today’s models only mimic reasoning, which can lead to serious ethical considerations. They unpack a fascinating (and slightly terrifying) new study from Anthropic, where agentic AI models were caught simulating blackmail, deception, and even sabotage — all in the name of goal completion and self-preservation. </p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.anthropic.com/research/agentic-misalignment">Agentic Misalignment: How LLMs could be insider threats</a></li><li><a href="https://huggingface.co/agents-course">Hugging Face Agents Course</a></li></ul><p>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In the first episode of an "AI in the shadows" theme, Chris and Daniel explore the increasing concerning world of agentic misalignment. Starting out with a reminder about hallucinations and reasoning models, they break down how today’s models only mimic reasoning, which can lead to serious ethical considerations. They unpack a fascinating (and slightly terrifying) new study from Anthropic, where agentic AI models were caught simulating blackmail, deception, and even sabotage — all in the name of goal completion and self-preservation. </p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.anthropic.com/research/agentic-misalignment">Agentic Misalignment: How LLMs could be insider threats</a></li><li><a href="https://huggingface.co/agents-course">Hugging Face Agents Course</a></li></ul><p>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</p>]]>
      </content:encoded>
      <pubDate>Mon, 07 Jul 2025 15:04:27 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
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      <itunes:duration>2690</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In the first episode of an "AI in the shadows" theme, Chris and Daniel explore the increasing concerning world of agentic misalignment. Starting out with a reminder about hallucinations and reasoning models, they break down how today’s models only mimic reasoning, which can lead to serious ethical considerations. They unpack a fascinating (and slightly terrifying) new study from Anthropic, where agentic AI models were caught simulating blackmail, deception, and even sabotage — all in the name of goal completion and self-preservation. </p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.anthropic.com/research/agentic-misalignment">Agentic Misalignment: How LLMs could be insider threats</a></li><li><a href="https://huggingface.co/agents-course">Hugging Face Agents Course</a></li></ul><p>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</p>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>Finding Nemotron</title>
      <itunes:episode>319</itunes:episode>
      <podcast:episode>319</podcast:episode>
      <itunes:title>Finding Nemotron</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/6b9fa11e</link>
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        <![CDATA[<p>In this episode, we sit down with Joey Conway to explore NVIDIA's open source AI, from the reasoning-focused Nemotron models built on top of Llama, to the blazing-fast Parakeet speech model. We chat about what makes open foundation models so valuable, how enterprises can think about deploying multi-model strategies, and why reasoning is becoming the key differentiator in real-world AI applications.</p><p>Featuring:</p><ul><li>Joey Conway – <a href="https://www.linkedin.com/in/joeyconway/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.nvidia.com/en-us/ai-data-science/foundation-models/llama-nemotron/">Llama Nemotron Ultra</a></li><li><a href="https://developer.nvidia.com/blog/nvidia-llama-nemotron-ultra-open-model-delivers-groundbreaking-reasoning-accuracy/">NVIDIA Llama Nemotron Ultra Open Model Delivers Groundbreaking Reasoning Accuracy</a></li><li><a href="https://artificialanalysis.ai/?">Independent analysis of AI</a></li><li><a href="https://huggingface.co/nvidia/parakeet-tdt-0.6b-v2">Parakeet Model</a></li><li><a href="https://huggingface.co/spaces/hf-audio/open_asr_leaderboard">Parakeet Leaderboard</a></li><li>Try the Llama-3.1-Nemotron-Ultra-253B-v1 model <a href="https://huggingface.co/nvidia/Llama-3_1-Nemotron-Ultra-253B-v1">here</a> and <a href="https://build.nvidia.com/nvidia/llama-3_1-nemotron-ultra-253b-v1/modelcard">here</a></li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this episode, we sit down with Joey Conway to explore NVIDIA's open source AI, from the reasoning-focused Nemotron models built on top of Llama, to the blazing-fast Parakeet speech model. We chat about what makes open foundation models so valuable, how enterprises can think about deploying multi-model strategies, and why reasoning is becoming the key differentiator in real-world AI applications.</p><p>Featuring:</p><ul><li>Joey Conway – <a href="https://www.linkedin.com/in/joeyconway/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.nvidia.com/en-us/ai-data-science/foundation-models/llama-nemotron/">Llama Nemotron Ultra</a></li><li><a href="https://developer.nvidia.com/blog/nvidia-llama-nemotron-ultra-open-model-delivers-groundbreaking-reasoning-accuracy/">NVIDIA Llama Nemotron Ultra Open Model Delivers Groundbreaking Reasoning Accuracy</a></li><li><a href="https://artificialanalysis.ai/?">Independent analysis of AI</a></li><li><a href="https://huggingface.co/nvidia/parakeet-tdt-0.6b-v2">Parakeet Model</a></li><li><a href="https://huggingface.co/spaces/hf-audio/open_asr_leaderboard">Parakeet Leaderboard</a></li><li>Try the Llama-3.1-Nemotron-Ultra-253B-v1 model <a href="https://huggingface.co/nvidia/Llama-3_1-Nemotron-Ultra-253B-v1">here</a> and <a href="https://build.nvidia.com/nvidia/llama-3_1-nemotron-ultra-253b-v1/modelcard">here</a></li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 02 Jul 2025 14:54:16 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
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      <itunes:duration>2783</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this episode, we sit down with Joey Conway to explore NVIDIA's open source AI, from the reasoning-focused Nemotron models built on top of Llama, to the blazing-fast Parakeet speech model. We chat about what makes open foundation models so valuable, how enterprises can think about deploying multi-model strategies, and why reasoning is becoming the key differentiator in real-world AI applications.</p><p>Featuring:</p><ul><li>Joey Conway – <a href="https://www.linkedin.com/in/joeyconway/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://bsky.app/profile/chrisbenson.bsky.social">Bluesky</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.nvidia.com/en-us/ai-data-science/foundation-models/llama-nemotron/">Llama Nemotron Ultra</a></li><li><a href="https://developer.nvidia.com/blog/nvidia-llama-nemotron-ultra-open-model-delivers-groundbreaking-reasoning-accuracy/">NVIDIA Llama Nemotron Ultra Open Model Delivers Groundbreaking Reasoning Accuracy</a></li><li><a href="https://artificialanalysis.ai/?">Independent analysis of AI</a></li><li><a href="https://huggingface.co/nvidia/parakeet-tdt-0.6b-v2">Parakeet Model</a></li><li><a href="https://huggingface.co/spaces/hf-audio/open_asr_leaderboard">Parakeet Leaderboard</a></li><li>Try the Llama-3.1-Nemotron-Ultra-253B-v1 model <a href="https://huggingface.co/nvidia/Llama-3_1-Nemotron-Ultra-253B-v1">here</a> and <a href="https://build.nvidia.com/nvidia/llama-3_1-nemotron-ultra-253b-v1/modelcard">here</a></li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Guest" href="https://practicalai.fm/people/joey-conway">Joey Conway</podcast:person>
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    </item>
    <item>
      <title>AI hot takes and debates: Autonomy</title>
      <itunes:episode>318</itunes:episode>
      <podcast:episode>318</podcast:episode>
      <itunes:title>AI hot takes and debates: Autonomy</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/2492fb57</link>
      <description>
        <![CDATA[<p>Can AI-driven autonomy reduce harm, or does it risk dehumanizing decision-making? In this “AI Hot Takes &amp; Debates” series episode, Daniel and Chris dive deep into the ethical crossroads of AI, autonomy, and military applications. They trade perspectives on ethics, precision, responsibility, and whether machines should ever be trusted with life-or-death decisions. It’s a spirited back-and-forth that tackles the big questions behind real-world AI.</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4342529">The Concept of "The Human" in the Critique of Autonomous Weapons</a></li><li><a href="https://harvardnsj.org/2025/05/23/on-the-pitfalls-of-technophilic-reason-a-commentary-on-kevin-jon-hellers-the-concept-of-the-human-in-the-critique-of-autonomous-weapons/">On the Pitfalls of Technophilic Reason: A Commentary on Kevin Jon Heller’s “The Concept of ‘the Human’ in the Critique of Autonomous Weapons”</a></li></ul><p>Sponsors:</p><ul><li><a href="https://agntcy.org/">Outshift by Cisco</a>: AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows.</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Can AI-driven autonomy reduce harm, or does it risk dehumanizing decision-making? In this “AI Hot Takes &amp; Debates” series episode, Daniel and Chris dive deep into the ethical crossroads of AI, autonomy, and military applications. They trade perspectives on ethics, precision, responsibility, and whether machines should ever be trusted with life-or-death decisions. It’s a spirited back-and-forth that tackles the big questions behind real-world AI.</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4342529">The Concept of "The Human" in the Critique of Autonomous Weapons</a></li><li><a href="https://harvardnsj.org/2025/05/23/on-the-pitfalls-of-technophilic-reason-a-commentary-on-kevin-jon-hellers-the-concept-of-the-human-in-the-critique-of-autonomous-weapons/">On the Pitfalls of Technophilic Reason: A Commentary on Kevin Jon Heller’s “The Concept of ‘the Human’ in the Critique of Autonomous Weapons”</a></li></ul><p>Sponsors:</p><ul><li><a href="https://agntcy.org/">Outshift by Cisco</a>: AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows.</li></ul>]]>
      </content:encoded>
      <pubDate>Fri, 27 Jun 2025 12:26:05 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/CgDkbpT9SVa4bzrzicynHRD91h92_nHt99gc7Y3xXnE/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lYTM3/YjRlNDVlMjQ2MjFm/YzQ2MDk3ODk4OGI0/ZWY4YS5wbmc.jpg"/>
      <itunes:duration>2736</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Can AI-driven autonomy reduce harm, or does it risk dehumanizing decision-making? In this “AI Hot Takes &amp; Debates” series episode, Daniel and Chris dive deep into the ethical crossroads of AI, autonomy, and military applications. They trade perspectives on ethics, precision, responsibility, and whether machines should ever be trusted with life-or-death decisions. It’s a spirited back-and-forth that tackles the big questions behind real-world AI.</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=4342529">The Concept of "The Human" in the Critique of Autonomous Weapons</a></li><li><a href="https://harvardnsj.org/2025/05/23/on-the-pitfalls-of-technophilic-reason-a-commentary-on-kevin-jon-hellers-the-concept-of-the-human-in-the-critique-of-autonomous-weapons/">On the Pitfalls of Technophilic Reason: A Commentary on Kevin Jon Heller’s “The Concept of ‘the Human’ in the Critique of Autonomous Weapons”</a></li></ul><p>Sponsors:</p><ul><li><a href="https://agntcy.org/">Outshift by Cisco</a>: AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows.</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    </item>
    <item>
      <title>Behind-the-Scenes: VC Funding for AI Startups</title>
      <itunes:episode>317</itunes:episode>
      <podcast:episode>317</podcast:episode>
      <itunes:title>Behind-the-Scenes: VC Funding for AI Startups</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/2f7547c3</link>
      <description>
        <![CDATA[<p>It seems like we are bombarded by news about millions of dollars pouring into AI startups, which have crazy valuations. In this episode, Chris and Dan dive deep into the highs, lows, and hard choices behind funding an AI startup. They explore early bootstrapping, the transition to venture capital, and what it’s like to trade in code commits for investor decks. </p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.ibtimes.co.uk/builderai-collapses-15bn-ai-startup-exposed-actually-indians-pretending-bots-1734784">Builder.ai Collapses: $1.5bn 'AI' Startup Exposed as 'Actually Indians' Pretending to Be Bots</a></li></ul><p>Sponsors:</p><ul><li>Miro: Feeling overwhelmed by AI? Miro brings clarity by combining human creativity with intelligent tools to help teams get great work done. Learn more at <a href="http://miro.com/">miro.com</a>.</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>It seems like we are bombarded by news about millions of dollars pouring into AI startups, which have crazy valuations. In this episode, Chris and Dan dive deep into the highs, lows, and hard choices behind funding an AI startup. They explore early bootstrapping, the transition to venture capital, and what it’s like to trade in code commits for investor decks. </p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.ibtimes.co.uk/builderai-collapses-15bn-ai-startup-exposed-actually-indians-pretending-bots-1734784">Builder.ai Collapses: $1.5bn 'AI' Startup Exposed as 'Actually Indians' Pretending to Be Bots</a></li></ul><p>Sponsors:</p><ul><li>Miro: Feeling overwhelmed by AI? Miro brings clarity by combining human creativity with intelligent tools to help teams get great work done. Learn more at <a href="http://miro.com/">miro.com</a>.</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 18 Jun 2025 15:23:21 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/2f7547c3/4ad7b59c.mp3" length="40163874" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/xT9r97QHLD9Y0Wylusl2nCYInaUDVTBLz6XMgtHeopo/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9iZWUz/YmIzMTc4MjBlZGVj/ZjM5ZDM0YzhjMzk5/ZWZhMi5qcGc.jpg"/>
      <itunes:duration>2508</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>It seems like we are bombarded by news about millions of dollars pouring into AI startups, which have crazy valuations. In this episode, Chris and Dan dive deep into the highs, lows, and hard choices behind funding an AI startup. They explore early bootstrapping, the transition to venture capital, and what it’s like to trade in code commits for investor decks. </p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.ibtimes.co.uk/builderai-collapses-15bn-ai-startup-exposed-actually-indians-pretending-bots-1734784">Builder.ai Collapses: $1.5bn 'AI' Startup Exposed as 'Actually Indians' Pretending to Be Bots</a></li></ul><p>Sponsors:</p><ul><li>Miro: Feeling overwhelmed by AI? Miro brings clarity by combining human creativity with intelligent tools to help teams get great work done. Learn more at <a href="http://miro.com/">miro.com</a>.</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>AI-Automated Film Making</title>
      <itunes:episode>316</itunes:episode>
      <podcast:episode>316</podcast:episode>
      <itunes:title>AI-Automated Film Making</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/d6f5844f</link>
      <description>
        <![CDATA[<p>An recent article in Variety was titled: "Sylvester Stallone-Backed Largo.ai Teams With Brilliant Pictures for ‘World’s First Fully AI-Automated Film Company’". Obviously this caught our attention! We sit down with Sami Arpa, CEO of Largo.ai, to unpack how films are developed, funded, and brought to life using AI. We discover how tools like script analysis, financial forecasting, and digital twins are helping creators and studios make smarter decisions. </p><p>Featuring:</p><ul><li>Sami Arpa – <a href="https://www.linkedin.com/in/samiarpa/">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://home.largo.ai/">Largo AI</a></li><li><a href="https://variety.com/2025/film/global/largo-ai-brilliant-pictures-ai-film-company-1236398707/">Sylvester Stallone-Backed Largo.ai Teams With Brilliant Pictures for ‘World’s First Fully AI-Automated Film Company’ </a></li></ul><p>Sponsors:</p><ul><li><a href="https://agntcy.org/">Outshift by Cisco</a>: AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows.</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>An recent article in Variety was titled: "Sylvester Stallone-Backed Largo.ai Teams With Brilliant Pictures for ‘World’s First Fully AI-Automated Film Company’". Obviously this caught our attention! We sit down with Sami Arpa, CEO of Largo.ai, to unpack how films are developed, funded, and brought to life using AI. We discover how tools like script analysis, financial forecasting, and digital twins are helping creators and studios make smarter decisions. </p><p>Featuring:</p><ul><li>Sami Arpa – <a href="https://www.linkedin.com/in/samiarpa/">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://home.largo.ai/">Largo AI</a></li><li><a href="https://variety.com/2025/film/global/largo-ai-brilliant-pictures-ai-film-company-1236398707/">Sylvester Stallone-Backed Largo.ai Teams With Brilliant Pictures for ‘World’s First Fully AI-Automated Film Company’ </a></li></ul><p>Sponsors:</p><ul><li><a href="https://agntcy.org/">Outshift by Cisco</a>: AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows.</li></ul>]]>
      </content:encoded>
      <pubDate>Thu, 12 Jun 2025 11:22:11 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/WpSu5pcNb9pUNDt-g8vsVMuRCsiM_UW-_Hi2XTQodio/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80MjZi/MzUxZjIwNzFlYjJh/ZjY5M2Y5ZTdlYmIx/MjQ2Zi5qcGc.jpg"/>
      <itunes:duration>2582</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>An recent article in Variety was titled: "Sylvester Stallone-Backed Largo.ai Teams With Brilliant Pictures for ‘World’s First Fully AI-Automated Film Company’". Obviously this caught our attention! We sit down with Sami Arpa, CEO of Largo.ai, to unpack how films are developed, funded, and brought to life using AI. We discover how tools like script analysis, financial forecasting, and digital twins are helping creators and studios make smarter decisions. </p><p>Featuring:</p><ul><li>Sami Arpa – <a href="https://www.linkedin.com/in/samiarpa/">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://home.largo.ai/">Largo AI</a></li><li><a href="https://variety.com/2025/film/global/largo-ai-brilliant-pictures-ai-film-company-1236398707/">Sylvester Stallone-Backed Largo.ai Teams With Brilliant Pictures for ‘World’s First Fully AI-Automated Film Company’ </a></li></ul><p>Sponsors:</p><ul><li><a href="https://agntcy.org/">Outshift by Cisco</a>: AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows.</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://practicalai.fm/people/sami-arpa" img="https://img.transistorcdn.com/t0CvzJYcDL2J3iMvz_vod9jh2d9Vjqb2j7J0RHEYBX8/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81MGE2/ZTY3ZGJiNGFhOWUy/OWIzYTQ2ODFmOWZi/NDRmZS5qcGc.jpg">Sami Arpa</podcast:person>
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    </item>
    <item>
      <title>Federated learning in production (part 2)</title>
      <itunes:episode>315</itunes:episode>
      <podcast:episode>315</podcast:episode>
      <itunes:title>Federated learning in production (part 2)</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/1e3c9247</link>
      <description>
        <![CDATA[<p>Chong Shen from Flower Labs joins us to discuss what it really takes to build production-ready federated learning systems that work across data silos. We talk about the Flower framework and it's architecture (supernodes, superlinks, etc.), and what makes it both "friendly" and ready for real enterprise environments. We also  explore how the generative Generative AI boom is reshaping Flower’s roadmap.</p><p>Featuring:</p><ul><li>Chong Shen Ng – <a href="https://www.linkedin.com/in/chongshenng/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Episode links:</p><ul><li><a href="https://pretalx.com/pyconde-pydata-2025/talk/9Y9DM8/">The future of AI training is federated</a></li><li><a href="https://www.deeplearning.ai/short-courses/intro-to-federated-learning/">DeepLearning.ai short course on Federated Learning with Flower</a></li><li><a href="https://flower.ai/events/flower-monthly/">Flower Monthly</a></li><li><a href="https://flower.ai/industries/automotive/">Federated Learning in Automotive</a></li><li><a href="https://flower.ai/industries/finance/">Federated AI in Finance</a></li><li><a href="https://flower.ai/industries/healthcare/">Federated Learning in Healthcare</a></li><li><a href="https://flower.ai/industries/iot/">Federated AI on IoT Systems</a></li><li><a href="https://flower.ai/benchmarks/llm-leaderboard/">FlowerTune LLM Leaderboard</a></li><li><a href="https://flower.ai/intelligence/">Flower Intelligence</a></li><li><a href="https://github.com/adap/flower">GitHub</a></li><li><a href="https://friendly-flower.slack.com/join/shared_invite/zt-35epydsx3-_e~KjYPEcyevkJZ4Ja3XkA#/shared-invite/email">Slack</a></li><li><a href="https://discuss.flower.ai/">Flower Discuss</a></li></ul><p>Check out <a href="https://practicalai.fm/webinars">upcoming webinars</a>!</p><p>Sponsors:</p><ul><li>NordLayer is toggle-ready network security built for modern businesses—combining VPN, access control, and threat protection in one platform that deploys in under 10 minutes with no hardware required. It's built on Zero Trust architecture with granular access controls, so only the right people access the right resources, and it scales effortlessly as your team grows. Get up to 32% off yearly plans with code practically-10 at <a href="http://nordlayer.com/practicalai">nordlayer.com/practicalai</a> - 14-day money-back guarantee included.</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Chong Shen from Flower Labs joins us to discuss what it really takes to build production-ready federated learning systems that work across data silos. We talk about the Flower framework and it's architecture (supernodes, superlinks, etc.), and what makes it both "friendly" and ready for real enterprise environments. We also  explore how the generative Generative AI boom is reshaping Flower’s roadmap.</p><p>Featuring:</p><ul><li>Chong Shen Ng – <a href="https://www.linkedin.com/in/chongshenng/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Episode links:</p><ul><li><a href="https://pretalx.com/pyconde-pydata-2025/talk/9Y9DM8/">The future of AI training is federated</a></li><li><a href="https://www.deeplearning.ai/short-courses/intro-to-federated-learning/">DeepLearning.ai short course on Federated Learning with Flower</a></li><li><a href="https://flower.ai/events/flower-monthly/">Flower Monthly</a></li><li><a href="https://flower.ai/industries/automotive/">Federated Learning in Automotive</a></li><li><a href="https://flower.ai/industries/finance/">Federated AI in Finance</a></li><li><a href="https://flower.ai/industries/healthcare/">Federated Learning in Healthcare</a></li><li><a href="https://flower.ai/industries/iot/">Federated AI on IoT Systems</a></li><li><a href="https://flower.ai/benchmarks/llm-leaderboard/">FlowerTune LLM Leaderboard</a></li><li><a href="https://flower.ai/intelligence/">Flower Intelligence</a></li><li><a href="https://github.com/adap/flower">GitHub</a></li><li><a href="https://friendly-flower.slack.com/join/shared_invite/zt-35epydsx3-_e~KjYPEcyevkJZ4Ja3XkA#/shared-invite/email">Slack</a></li><li><a href="https://discuss.flower.ai/">Flower Discuss</a></li></ul><p>Check out <a href="https://practicalai.fm/webinars">upcoming webinars</a>!</p><p>Sponsors:</p><ul><li>NordLayer is toggle-ready network security built for modern businesses—combining VPN, access control, and threat protection in one platform that deploys in under 10 minutes with no hardware required. It's built on Zero Trust architecture with granular access controls, so only the right people access the right resources, and it scales effortlessly as your team grows. Get up to 32% off yearly plans with code practically-10 at <a href="http://nordlayer.com/practicalai">nordlayer.com/practicalai</a> - 14-day money-back guarantee included.</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 04 Jun 2025 11:46:58 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
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      <itunes:duration>2725</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Chong Shen from Flower Labs joins us to discuss what it really takes to build production-ready federated learning systems that work across data silos. We talk about the Flower framework and it's architecture (supernodes, superlinks, etc.), and what makes it both "friendly" and ready for real enterprise environments. We also  explore how the generative Generative AI boom is reshaping Flower’s roadmap.</p><p>Featuring:</p><ul><li>Chong Shen Ng – <a href="https://www.linkedin.com/in/chongshenng/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Episode links:</p><ul><li><a href="https://pretalx.com/pyconde-pydata-2025/talk/9Y9DM8/">The future of AI training is federated</a></li><li><a href="https://www.deeplearning.ai/short-courses/intro-to-federated-learning/">DeepLearning.ai short course on Federated Learning with Flower</a></li><li><a href="https://flower.ai/events/flower-monthly/">Flower Monthly</a></li><li><a href="https://flower.ai/industries/automotive/">Federated Learning in Automotive</a></li><li><a href="https://flower.ai/industries/finance/">Federated AI in Finance</a></li><li><a href="https://flower.ai/industries/healthcare/">Federated Learning in Healthcare</a></li><li><a href="https://flower.ai/industries/iot/">Federated AI on IoT Systems</a></li><li><a href="https://flower.ai/benchmarks/llm-leaderboard/">FlowerTune LLM Leaderboard</a></li><li><a href="https://flower.ai/intelligence/">Flower Intelligence</a></li><li><a href="https://github.com/adap/flower">GitHub</a></li><li><a href="https://friendly-flower.slack.com/join/shared_invite/zt-35epydsx3-_e~KjYPEcyevkJZ4Ja3XkA#/shared-invite/email">Slack</a></li><li><a href="https://discuss.flower.ai/">Flower Discuss</a></li></ul><p>Check out <a href="https://practicalai.fm/webinars">upcoming webinars</a>!</p><p>Sponsors:</p><ul><li>NordLayer is toggle-ready network security built for modern businesses—combining VPN, access control, and threat protection in one platform that deploys in under 10 minutes with no hardware required. It's built on Zero Trust architecture with granular access controls, so only the right people access the right resources, and it scales effortlessly as your team grows. Get up to 32% off yearly plans with code practically-10 at <a href="http://nordlayer.com/practicalai">nordlayer.com/practicalai</a> - 14-day money-back guarantee included.</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://practicalai.fm/people/chong-shen-ng" img="https://img.transistorcdn.com/1ZkEDpG7IYjhOuQgr68mkHYbnduzAUyVWkNdwp6jMvM/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hMGMz/NWQwZTc2ZTAzNGRh/YjEwYzFlZGI5MTlk/ZmQ5OS5qcGc.jpg">Chong Shen Ng</podcast:person>
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    </item>
    <item>
      <title>Federated learning in production (part 1)</title>
      <itunes:episode>314</itunes:episode>
      <podcast:episode>314</podcast:episode>
      <itunes:title>Federated learning in production (part 1)</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/e283a9d0</link>
      <description>
        <![CDATA[<p>In this first of a two part series of episodes on federated learning, we dive into the evolving world of federated learning and distributed AI frameworks with Patrick Foley from Intel. We explore how frameworks like OpenFL and Flower are enabling secure, collaborative model training across silos, especially in sensitive fields like healthcare. The conversation touches on real-world use cases, the challenges of distributed ML/AI experiments, and why privacy-preserving techniques may become essential for deploying AI to production.</p><p>Featuring:</p><ul><li>Patrick Foley – <a href="https://www.linkedin.com/in/psfoley/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.intel.com/content/www/us/en/homepage.html">Intel</a></li><li><a href="https://openfl.io/">OpenFL</a></li></ul><p>Sponsors:</p><ul><li><a href="https://nordlayer.com/practicalai/">NordLayer</a> is a toggle-ready network security platform built for modern businesses. It combines VPN, access control, and threat protection in one easy-to-use platform. No hardware. No complex setup. Just secure connection and full control—in less than 10 minutes. Up to 22% off NordLayer yearly plans plus 10% on top with the coupon code practically-10.</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this first of a two part series of episodes on federated learning, we dive into the evolving world of federated learning and distributed AI frameworks with Patrick Foley from Intel. We explore how frameworks like OpenFL and Flower are enabling secure, collaborative model training across silos, especially in sensitive fields like healthcare. The conversation touches on real-world use cases, the challenges of distributed ML/AI experiments, and why privacy-preserving techniques may become essential for deploying AI to production.</p><p>Featuring:</p><ul><li>Patrick Foley – <a href="https://www.linkedin.com/in/psfoley/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.intel.com/content/www/us/en/homepage.html">Intel</a></li><li><a href="https://openfl.io/">OpenFL</a></li></ul><p>Sponsors:</p><ul><li><a href="https://nordlayer.com/practicalai/">NordLayer</a> is a toggle-ready network security platform built for modern businesses. It combines VPN, access control, and threat protection in one easy-to-use platform. No hardware. No complex setup. Just secure connection and full control—in less than 10 minutes. Up to 22% off NordLayer yearly plans plus 10% on top with the coupon code practically-10.</li></ul>]]>
      </content:encoded>
      <pubDate>Fri, 30 May 2025 13:25:32 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/e283a9d0/77122826.mp3" length="43046110" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
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      <itunes:duration>2678</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this first of a two part series of episodes on federated learning, we dive into the evolving world of federated learning and distributed AI frameworks with Patrick Foley from Intel. We explore how frameworks like OpenFL and Flower are enabling secure, collaborative model training across silos, especially in sensitive fields like healthcare. The conversation touches on real-world use cases, the challenges of distributed ML/AI experiments, and why privacy-preserving techniques may become essential for deploying AI to production.</p><p>Featuring:</p><ul><li>Patrick Foley – <a href="https://www.linkedin.com/in/psfoley/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.intel.com/content/www/us/en/homepage.html">Intel</a></li><li><a href="https://openfl.io/">OpenFL</a></li></ul><p>Sponsors:</p><ul><li><a href="https://nordlayer.com/practicalai/">NordLayer</a> is a toggle-ready network security platform built for modern businesses. It combines VPN, access control, and threat protection in one easy-to-use platform. No hardware. No complex setup. Just secure connection and full control—in less than 10 minutes. Up to 22% off NordLayer yearly plans plus 10% on top with the coupon code practically-10.</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://practicalai.fm/people/patrick-foley" img="https://img.transistorcdn.com/4AyNyd3xUR1LADMKOTAFADrRZBEnxl3k4byMBNj1cU0/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80NGE1/ZjVmNTAwZDNkY2M0/YTMyNTFhYzUzMDYz/ZGJjNi5qcGc.jpg">Patrick Foley</podcast:person>
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    </item>
    <item>
      <title>Emailing like a superhuman</title>
      <itunes:episode>313</itunes:episode>
      <podcast:episode>313</podcast:episode>
      <itunes:title>Emailing like a superhuman</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/f4e7b59f</link>
      <description>
        <![CDATA[<p>Loïc Houssier, Head of Engineering at Superhuman, joins us to discuss how AI and LLMs are reshaping the email experience. He highlights challenges related to the variability of user prompts and infrastructure optimization. Loïc emphasizes that a deep focus on user experience and real human workflows is key to building AI tools people actually love to use.</p><p>Featuring:</p><ul><li>Loïc Houssier – <a href="https://www.linkedin.com/in/houssier/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://superhuman.com/">Superhuman</a></li><li><a href="https://superhuman.com/?source=referral_link&amp;promo_code=practicalai&amp;dub_id=k2XAV2HTYePgatZD">Referral Code for a Free month</a></li></ul><p>Sponsors:</p><ul><li><a href="https://agntcy.org/">Outshift by Cisco</a> – AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows. </li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Loïc Houssier, Head of Engineering at Superhuman, joins us to discuss how AI and LLMs are reshaping the email experience. He highlights challenges related to the variability of user prompts and infrastructure optimization. Loïc emphasizes that a deep focus on user experience and real human workflows is key to building AI tools people actually love to use.</p><p>Featuring:</p><ul><li>Loïc Houssier – <a href="https://www.linkedin.com/in/houssier/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://superhuman.com/">Superhuman</a></li><li><a href="https://superhuman.com/?source=referral_link&amp;promo_code=practicalai&amp;dub_id=k2XAV2HTYePgatZD">Referral Code for a Free month</a></li></ul><p>Sponsors:</p><ul><li><a href="https://agntcy.org/">Outshift by Cisco</a> – AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows. </li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 20 May 2025 13:55:24 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/f4e7b59f/22aa6309.mp3" length="45706048" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
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      <itunes:duration>2847</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Loïc Houssier, Head of Engineering at Superhuman, joins us to discuss how AI and LLMs are reshaping the email experience. He highlights challenges related to the variability of user prompts and infrastructure optimization. Loïc emphasizes that a deep focus on user experience and real human workflows is key to building AI tools people actually love to use.</p><p>Featuring:</p><ul><li>Loïc Houssier – <a href="https://www.linkedin.com/in/houssier/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://superhuman.com/">Superhuman</a></li><li><a href="https://superhuman.com/?source=referral_link&amp;promo_code=practicalai&amp;dub_id=k2XAV2HTYePgatZD">Referral Code for a Free month</a></li></ul><p>Sponsors:</p><ul><li><a href="https://agntcy.org/">Outshift by Cisco</a> – AGNTCY is an open source collective building the Internet of Agents. It's a collaboration layer where AI agents can communicate, discover each other, and work across frameworks. For developers, this means standardized agent discovery tools, seamless protocols for inter-agent communication, and modular components to compose and scale multi-agent workflows. </li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://practicalai.fm/people/loic-houssier" img="https://img.transistorcdn.com/OghEC5GcKjvG3bEF6hQqoXbp46IaPb02CA4vsHC3ODw/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84MGZi/ZWY5MjRmMDY0ZWZk/N2NmNjBhY2Q0YTA4/ODA4OS5qcGc.jpg">Loïc Houssier</podcast:person>
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    <item>
      <title>Model Context Protocol Deep Dive</title>
      <itunes:episode>312</itunes:episode>
      <podcast:episode>312</podcast:episode>
      <itunes:title>Model Context Protocol Deep Dive</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/d7a0d796</link>
      <description>
        <![CDATA[<p>In this episode, Daniel and Chris unpack the Model Context Protocol (MCP), a rising standard for enabling agentic AI interactions with external systems, APIs, and data sources. They explore how MCP supports interoperability, community contributions, and a rapidly developing ecosystem of AI integrations. The conversation also highlights some real-world tooling such as FastAPI-MCP.</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://modelcontextprotocol.io/introduction">Protocol website</a></li><li><a href="https://www.anthropic.com/news/model-context-protocol">Anthropic blog post</a></li><li><a href="https://www.philschmid.de/mcp-introduction">Blog post - Model Context Protocol (MCP) an overview</a></li><li><a href="https://github.com/tadata-org/fastapi_mcp">FastAPI-MCP</a></li><li><a href="https://huggingface.co/blog/lynn-mikami/fastapi-mcp-server">How to Use FastAPI MCP Server: A Complete Guide </a></li><li><a href="https://github.com/huggingface/candle">Candle (Rust framework)</a></li></ul><p><br></p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this episode, Daniel and Chris unpack the Model Context Protocol (MCP), a rising standard for enabling agentic AI interactions with external systems, APIs, and data sources. They explore how MCP supports interoperability, community contributions, and a rapidly developing ecosystem of AI integrations. The conversation also highlights some real-world tooling such as FastAPI-MCP.</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://modelcontextprotocol.io/introduction">Protocol website</a></li><li><a href="https://www.anthropic.com/news/model-context-protocol">Anthropic blog post</a></li><li><a href="https://www.philschmid.de/mcp-introduction">Blog post - Model Context Protocol (MCP) an overview</a></li><li><a href="https://github.com/tadata-org/fastapi_mcp">FastAPI-MCP</a></li><li><a href="https://huggingface.co/blog/lynn-mikami/fastapi-mcp-server">How to Use FastAPI MCP Server: A Complete Guide </a></li><li><a href="https://github.com/huggingface/candle">Candle (Rust framework)</a></li></ul><p><br></p>]]>
      </content:encoded>
      <pubDate>Thu, 08 May 2025 08:56:50 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
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      <itunes:duration>2543</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this episode, Daniel and Chris unpack the Model Context Protocol (MCP), a rising standard for enabling agentic AI interactions with external systems, APIs, and data sources. They explore how MCP supports interoperability, community contributions, and a rapidly developing ecosystem of AI integrations. The conversation also highlights some real-world tooling such as FastAPI-MCP.</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://modelcontextprotocol.io/introduction">Protocol website</a></li><li><a href="https://www.anthropic.com/news/model-context-protocol">Anthropic blog post</a></li><li><a href="https://www.philschmid.de/mcp-introduction">Blog post - Model Context Protocol (MCP) an overview</a></li><li><a href="https://github.com/tadata-org/fastapi_mcp">FastAPI-MCP</a></li><li><a href="https://huggingface.co/blog/lynn-mikami/fastapi-mcp-server">How to Use FastAPI MCP Server: A Complete Guide </a></li><li><a href="https://github.com/huggingface/candle">Candle (Rust framework)</a></li></ul><p><br></p>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>Seeing beyond the scan in neuroimaging</title>
      <itunes:episode>311</itunes:episode>
      <podcast:episode>311</podcast:episode>
      <itunes:title>Seeing beyond the scan in neuroimaging</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <description>
        <![CDATA[<p>In this episode, we explore the intersection of AI, machine learning, and healthcare through the lens of neuroimaging and epilepsy diagnosis. Dr. Gavin Winston shares insights from his work using MRI data and machine learning to uncover subtle abnormalities in brain function. We discuss the cultural and ethical barriers to AI adoption in medicine, how predictive data analysis could transform the diagnostic workflow, and what the future holds for medical imaging in a world increasingly shaped by intelligent systems.</p><p>Featuring:</p><ul><li>Gavin Winston – <a href="https://www.linkedin.com/in/gavinwinston/">LinkedIn</a>, <a href="https://deptmed.queensu.ca/people/gavin-winston">Website</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://pubmed.ncbi.nlm.nih.gov/39992650/">Detection of Epileptogenic Focal Cortical Dysplasia Using Graph Neural Networks: A MELD Study</a></li><li><a href="https://research.hkbu.edu.hk/page/detail/22685">Machine Learning in Neuroimaging across Disciplines</a></li><li><a href="https://pubmed.ncbi.nlm.nih.gov/39543853/">Automated and Interpretable Detection of Hippocampal Sclerosis in Temporal Lobe Epilepsy: AID-HS</a></li><li><a href="https://pubmed.ncbi.nlm.nih.gov/38582538/">Literature review and protocol for a prospective multicentre cohort study on multimodal prediction of seizure recurrence after unprovoked first seizure</a></li><li><a href="https://pubmed.ncbi.nlm.nih.gov/37473486/">Deep learning in neuroimaging of epilepsy</a></li><li><a href="https://pubmed.ncbi.nlm.nih.gov/34619650/">Non-parametric combination of multimodal MRI for lesion detection in focal epilepsy</a></li><li><a href="https://pubmed.ncbi.nlm.nih.gov/33567113/">Detection of covert lesions in focal epilepsy using computational analysis of multimodal magnetic resonance imaging data</a></li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this episode, we explore the intersection of AI, machine learning, and healthcare through the lens of neuroimaging and epilepsy diagnosis. Dr. Gavin Winston shares insights from his work using MRI data and machine learning to uncover subtle abnormalities in brain function. We discuss the cultural and ethical barriers to AI adoption in medicine, how predictive data analysis could transform the diagnostic workflow, and what the future holds for medical imaging in a world increasingly shaped by intelligent systems.</p><p>Featuring:</p><ul><li>Gavin Winston – <a href="https://www.linkedin.com/in/gavinwinston/">LinkedIn</a>, <a href="https://deptmed.queensu.ca/people/gavin-winston">Website</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://pubmed.ncbi.nlm.nih.gov/39992650/">Detection of Epileptogenic Focal Cortical Dysplasia Using Graph Neural Networks: A MELD Study</a></li><li><a href="https://research.hkbu.edu.hk/page/detail/22685">Machine Learning in Neuroimaging across Disciplines</a></li><li><a href="https://pubmed.ncbi.nlm.nih.gov/39543853/">Automated and Interpretable Detection of Hippocampal Sclerosis in Temporal Lobe Epilepsy: AID-HS</a></li><li><a href="https://pubmed.ncbi.nlm.nih.gov/38582538/">Literature review and protocol for a prospective multicentre cohort study on multimodal prediction of seizure recurrence after unprovoked first seizure</a></li><li><a href="https://pubmed.ncbi.nlm.nih.gov/37473486/">Deep learning in neuroimaging of epilepsy</a></li><li><a href="https://pubmed.ncbi.nlm.nih.gov/34619650/">Non-parametric combination of multimodal MRI for lesion detection in focal epilepsy</a></li><li><a href="https://pubmed.ncbi.nlm.nih.gov/33567113/">Detection of covert lesions in focal epilepsy using computational analysis of multimodal magnetic resonance imaging data</a></li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 30 Apr 2025 08:57:06 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
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      <itunes:duration>2578</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this episode, we explore the intersection of AI, machine learning, and healthcare through the lens of neuroimaging and epilepsy diagnosis. Dr. Gavin Winston shares insights from his work using MRI data and machine learning to uncover subtle abnormalities in brain function. We discuss the cultural and ethical barriers to AI adoption in medicine, how predictive data analysis could transform the diagnostic workflow, and what the future holds for medical imaging in a world increasingly shaped by intelligent systems.</p><p>Featuring:</p><ul><li>Gavin Winston – <a href="https://www.linkedin.com/in/gavinwinston/">LinkedIn</a>, <a href="https://deptmed.queensu.ca/people/gavin-winston">Website</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://pubmed.ncbi.nlm.nih.gov/39992650/">Detection of Epileptogenic Focal Cortical Dysplasia Using Graph Neural Networks: A MELD Study</a></li><li><a href="https://research.hkbu.edu.hk/page/detail/22685">Machine Learning in Neuroimaging across Disciplines</a></li><li><a href="https://pubmed.ncbi.nlm.nih.gov/39543853/">Automated and Interpretable Detection of Hippocampal Sclerosis in Temporal Lobe Epilepsy: AID-HS</a></li><li><a href="https://pubmed.ncbi.nlm.nih.gov/38582538/">Literature review and protocol for a prospective multicentre cohort study on multimodal prediction of seizure recurrence after unprovoked first seizure</a></li><li><a href="https://pubmed.ncbi.nlm.nih.gov/37473486/">Deep learning in neuroimaging of epilepsy</a></li><li><a href="https://pubmed.ncbi.nlm.nih.gov/34619650/">Non-parametric combination of multimodal MRI for lesion detection in focal epilepsy</a></li><li><a href="https://pubmed.ncbi.nlm.nih.gov/33567113/">Detection of covert lesions in focal epilepsy using computational analysis of multimodal magnetic resonance imaging data</a></li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://practicalai.fm/people/gavin-winston" img="https://img.transistorcdn.com/_unmDOF6OzXeVXXFq56YZzTZaPxf4BMA77OrKNsGzAM/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zYzNk/OGJhNmRhYjdjMTQx/ZWM5MjQ1ODgzMmEw/ZjAxMy5qcGc.jpg">Gavin Winston</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    </item>
    <item>
      <title>Open source AI to tackle your backlog</title>
      <itunes:episode>310</itunes:episode>
      <podcast:episode>310</podcast:episode>
      <itunes:title>Open source AI to tackle your backlog</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/c34dea01</link>
      <description>
        <![CDATA[<p>Vibe coding, agentic workflows, and AI-assisted pull requests? In this episode, Daniel and Chris chat with Robert Brennan and Graham Neubig of All Hands AI about how AI is transforming software development—from senior engineer productivity to open source agents that address GitHub issues. They dive into trust, tooling, collaboration, and what it means to build software in the era of AI agents. Whether you're coding from your laptop or your phone on a morning walk, the future is hands-free (and All Hands).</p><p>Featuring:</p><ul><li>Robert Brennan – <a href="https://www.linkedin.com/in/robert-a-brennan/">LinkedIn</a>, <a href="https://x.com/rbren_dev">X</a></li><li>Graham Neubig – <a href="https://www.linkedin.com/in/graham-neubig-10b41616b/">LinkedIn</a>, <a href="https://x.com/gneubig">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.all-hands.dev/">All Hands</a></li><li><a href="https://github.com/All-Hands-AI/OpenHands">All Hands on GitHub</a></li><li><a href="https://huggingface.co/all-hands">All Hands on Hugging Face</a></li></ul><p> </p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Vibe coding, agentic workflows, and AI-assisted pull requests? In this episode, Daniel and Chris chat with Robert Brennan and Graham Neubig of All Hands AI about how AI is transforming software development—from senior engineer productivity to open source agents that address GitHub issues. They dive into trust, tooling, collaboration, and what it means to build software in the era of AI agents. Whether you're coding from your laptop or your phone on a morning walk, the future is hands-free (and All Hands).</p><p>Featuring:</p><ul><li>Robert Brennan – <a href="https://www.linkedin.com/in/robert-a-brennan/">LinkedIn</a>, <a href="https://x.com/rbren_dev">X</a></li><li>Graham Neubig – <a href="https://www.linkedin.com/in/graham-neubig-10b41616b/">LinkedIn</a>, <a href="https://x.com/gneubig">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.all-hands.dev/">All Hands</a></li><li><a href="https://github.com/All-Hands-AI/OpenHands">All Hands on GitHub</a></li><li><a href="https://huggingface.co/all-hands">All Hands on Hugging Face</a></li></ul><p> </p>]]>
      </content:encoded>
      <pubDate>Thu, 17 Apr 2025 19:12:06 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
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      <itunes:duration>2524</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Vibe coding, agentic workflows, and AI-assisted pull requests? In this episode, Daniel and Chris chat with Robert Brennan and Graham Neubig of All Hands AI about how AI is transforming software development—from senior engineer productivity to open source agents that address GitHub issues. They dive into trust, tooling, collaboration, and what it means to build software in the era of AI agents. Whether you're coding from your laptop or your phone on a morning walk, the future is hands-free (and All Hands).</p><p>Featuring:</p><ul><li>Robert Brennan – <a href="https://www.linkedin.com/in/robert-a-brennan/">LinkedIn</a>, <a href="https://x.com/rbren_dev">X</a></li><li>Graham Neubig – <a href="https://www.linkedin.com/in/graham-neubig-10b41616b/">LinkedIn</a>, <a href="https://x.com/gneubig">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.all-hands.dev/">All Hands</a></li><li><a href="https://github.com/All-Hands-AI/OpenHands">All Hands on GitHub</a></li><li><a href="https://huggingface.co/all-hands">All Hands on Hugging Face</a></li></ul><p> </p>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://practicalai.fm/people/robert-brennan" img="https://img.transistorcdn.com/rltvNLYlKC_6iS78a4d1NWq6IUaXnh19nN7RYK701Fk/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kNjEx/MmM5OGUyZGY0NmNl/N2YwZjE1YTYyNjA0/ZDZhMC5qcGc.jpg">Robert Brennan</podcast:person>
      <podcast:person role="Guest" href="https://practicalai.fm/people/graham-neubig" img="https://img.transistorcdn.com/blU8TIeBmhjHEQQWj97YGtETqSOHTWaX078B72T9hQk/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lM2Ew/NzJmNzJiNjMzZmNl/MDM2MWMwY2IwODcx/ZDQ4Yi5qcGc.jpg">Graham Neubig</podcast:person>
      <podcast:transcript url="https://share.transistor.fm/s/c34dea01/transcription.vtt" type="text/vtt" rel="captions"/>
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    <item>
      <title>Orchestrating agents, APIs, and MCP servers</title>
      <itunes:episode>309</itunes:episode>
      <podcast:episode>309</podcast:episode>
      <itunes:title>Orchestrating agents, APIs, and MCP servers</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <description>
        <![CDATA[<p>In this episode, Daniel sits down with Pavel Veller, EPAM’s Chief Technologist, to explore the practical challenges of orchestrating many AI agents and managing connections to disparate systems/tools. Pavel shares insights from his hands-on work with agentic architectures and internal tools like "DIAL". Pavel also helps us understand things like MCP servers and why connecting assistants via APIs is easy—but making them useful is hard. </p><p>Featuring:</p><ul><li>Pavel Veller – <a href="https://www.linkedin.com/in/pavelveller/">LinkedIn</a>, <a href="https://x.com/pveller">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.epam.com/">EPAM</a></li><li><a href="https://epam-rail.com/platform">DIAL</a></li><li><a href="https://www.swebench.com/#verified">SWE-bench results</a></li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this episode, Daniel sits down with Pavel Veller, EPAM’s Chief Technologist, to explore the practical challenges of orchestrating many AI agents and managing connections to disparate systems/tools. Pavel shares insights from his hands-on work with agentic architectures and internal tools like "DIAL". Pavel also helps us understand things like MCP servers and why connecting assistants via APIs is easy—but making them useful is hard. </p><p>Featuring:</p><ul><li>Pavel Veller – <a href="https://www.linkedin.com/in/pavelveller/">LinkedIn</a>, <a href="https://x.com/pveller">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.epam.com/">EPAM</a></li><li><a href="https://epam-rail.com/platform">DIAL</a></li><li><a href="https://www.swebench.com/#verified">SWE-bench results</a></li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 14 Apr 2025 08:53:31 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/657d28be/0b5d4eee.mp3" length="41321263" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
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      <itunes:duration>2572</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this episode, Daniel sits down with Pavel Veller, EPAM’s Chief Technologist, to explore the practical challenges of orchestrating many AI agents and managing connections to disparate systems/tools. Pavel shares insights from his hands-on work with agentic architectures and internal tools like "DIAL". Pavel also helps us understand things like MCP servers and why connecting assistants via APIs is easy—but making them useful is hard. </p><p>Featuring:</p><ul><li>Pavel Veller – <a href="https://www.linkedin.com/in/pavelveller/">LinkedIn</a>, <a href="https://x.com/pveller">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.epam.com/">EPAM</a></li><li><a href="https://epam-rail.com/platform">DIAL</a></li><li><a href="https://www.swebench.com/#verified">SWE-bench results</a></li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://practicalai.fm/people/pavel-veller" img="https://img.transistorcdn.com/fWPhxKcKYMRE_e6obwpfQ-E2jstTsPXDzmXq7HWJjpQ/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83M2U0/NmVlMzY2MmRmOTMw/MmM3NTU1MGJmZTU2/YjhhMy5qcGc.jpg">Pavel Veller</podcast:person>
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    <item>
      <title>Software and hardware acceleration with Groq</title>
      <itunes:episode>308</itunes:episode>
      <podcast:episode>308</podcast:episode>
      <itunes:title>Software and hardware acceleration with Groq</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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        <![CDATA[<p>How do you enable AI acceleration (at both the hardware and software layers) that stays ahead of rapid industry shifts? In this episode, Dhananjay Singh from Groq dives into the evolving landscape of AI inference and acceleration. We explore how Groq optimizes the serving layer, adapts to industry shifts, and supports emerging model architectures. </p><p>Featuring:</p><ul><li>Dhananjay Singh – <a href="https://www.linkedin.com/in/djsh/">LinkedIn</a>, <a href="https://x.com/djays%20">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://groq.com/">Groq</a></li></ul><p>Sponsors:</p><ul><li><a href="https://www.augmentcode.com?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">Augment Code</a> - Developer AI that uses deep understanding of your large codebase and how you build software to deliver personalized code suggestions and insights. Augment provides relevant, contextualized code right in your IDE or Slack. It transforms scattered knowledge into code or answers, eliminating time spent searching docs or interrupting teammates.</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>How do you enable AI acceleration (at both the hardware and software layers) that stays ahead of rapid industry shifts? In this episode, Dhananjay Singh from Groq dives into the evolving landscape of AI inference and acceleration. We explore how Groq optimizes the serving layer, adapts to industry shifts, and supports emerging model architectures. </p><p>Featuring:</p><ul><li>Dhananjay Singh – <a href="https://www.linkedin.com/in/djsh/">LinkedIn</a>, <a href="https://x.com/djays%20">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://groq.com/">Groq</a></li></ul><p>Sponsors:</p><ul><li><a href="https://www.augmentcode.com?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">Augment Code</a> - Developer AI that uses deep understanding of your large codebase and how you build software to deliver personalized code suggestions and insights. Augment provides relevant, contextualized code right in your IDE or Slack. It transforms scattered knowledge into code or answers, eliminating time spent searching docs or interrupting teammates.</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 02 Apr 2025 16:51:52 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/5e63c891/c3ddeda7.mp3" length="62680686" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/2NjGsfUyP4FGhfF-qmeTqQ6WBjQ10_NbXLRytgbjJkk/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83YWFl/NzgwZTEzNGJlMWUz/OTdiMWJjMWJlYmQx/ZTI5ZS5qcGc.jpg"/>
      <itunes:duration>2604</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>How do you enable AI acceleration (at both the hardware and software layers) that stays ahead of rapid industry shifts? In this episode, Dhananjay Singh from Groq dives into the evolving landscape of AI inference and acceleration. We explore how Groq optimizes the serving layer, adapts to industry shifts, and supports emerging model architectures. </p><p>Featuring:</p><ul><li>Dhananjay Singh – <a href="https://www.linkedin.com/in/djsh/">LinkedIn</a>, <a href="https://x.com/djays%20">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://groq.com/">Groq</a></li></ul><p>Sponsors:</p><ul><li><a href="https://www.augmentcode.com?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">Augment Code</a> - Developer AI that uses deep understanding of your large codebase and how you build software to deliver personalized code suggestions and insights. Augment provides relevant, contextualized code right in your IDE or Slack. It transforms scattered knowledge into code or answers, eliminating time spent searching docs or interrupting teammates.</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://practicalai.fm/people/dhananjay-singh" img="https://img.transistorcdn.com/FUyh4FxglGUdiOMvsVZ5mXbYa5md_3vilR9PRv5b0TE/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81YmFl/ZDY4Zjk5MTRmOTFi/ODJiYTM2NmI3N2Vm/YmQzNC5qcGc.jpg">Dhananjay Singh</podcast:person>
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    <item>
      <title>AI-assisted coding with GitHub's COO</title>
      <itunes:episode>307</itunes:episode>
      <podcast:episode>307</podcast:episode>
      <itunes:title>AI-assisted coding with GitHub's COO</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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        <![CDATA[<p>Kyle Daigle, COO of GitHub, joins the hosts to discuss the evolving role of AI in software development, GitHub Copilot’s impact, and the challenges of AI-assisted coding. The conversation covers licensing concerns, ethical considerations, and how developers can navigate these complexities. Kyle also shares his vision for ambient AI, which seamlessly integrates into workflows to enhance productivity and innovation, shaping the future of developer tools. </p><p>Featuring:</p><ul><li>Kyle Daigle – <a href="https://www.linkedin.com/in/kyledaigle/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Sponsors:</p><ul><li><a href="https://ai.domo.com">Domo</a> – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products.</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Kyle Daigle, COO of GitHub, joins the hosts to discuss the evolving role of AI in software development, GitHub Copilot’s impact, and the challenges of AI-assisted coding. The conversation covers licensing concerns, ethical considerations, and how developers can navigate these complexities. Kyle also shares his vision for ambient AI, which seamlessly integrates into workflows to enhance productivity and innovation, shaping the future of developer tools. </p><p>Featuring:</p><ul><li>Kyle Daigle – <a href="https://www.linkedin.com/in/kyledaigle/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Sponsors:</p><ul><li><a href="https://ai.domo.com">Domo</a> – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products.</li></ul>]]>
      </content:encoded>
      <pubDate>Fri, 21 Mar 2025 17:34:33 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/huaak3Th4JSMDVc0OrO2_kpqXVEjOx01WytTH34aeaE/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hM2Q5/NWNlZWQ5ZWMyN2I3/Mzc0MDM3MTExZWRl/ZWJiOS5qcGc.jpg"/>
      <itunes:duration>3004</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Kyle Daigle, COO of GitHub, joins the hosts to discuss the evolving role of AI in software development, GitHub Copilot’s impact, and the challenges of AI-assisted coding. The conversation covers licensing concerns, ethical considerations, and how developers can navigate these complexities. Kyle also shares his vision for ambient AI, which seamlessly integrates into workflows to enhance productivity and innovation, shaping the future of developer tools. </p><p>Featuring:</p><ul><li>Kyle Daigle – <a href="https://www.linkedin.com/in/kyledaigle/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Sponsors:</p><ul><li><a href="https://ai.domo.com">Domo</a> – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products.</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://practicalai.fm/people/kyle-daigle" img="https://img.transistorcdn.com/4jMgbvBQqPIeY7blKdu-GPAtQGvlQvR_2zMIZ3BEx9I/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81OTZh/NDllMWQ0OWM4YzJi/NjhlYWVhNDA2ODdm/YmQ0NS5qcGc.jpg">Kyle Daigle</podcast:person>
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    <item>
      <title>Optimizing for efficiency with IBM’s Granite</title>
      <itunes:episode>306</itunes:episode>
      <podcast:episode>306</podcast:episode>
      <itunes:title>Optimizing for efficiency with IBM’s Granite</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/fb39a0d8</link>
      <description>
        <![CDATA[<p>We often judge AI models by leaderboard scores, but what if efficiency matters more? Kate Soule from IBM joins us to discuss how Granite AI is rethinking AI at the edge—breaking tasks into smaller, efficient components and co-designing models with hardware. She also shares why AI should prioritize efficiency frontiers over incremental benchmark gains and how seamless model routing can optimize performance. </p><p>Featuring:</p><ul><li>Kate Soule – <a href="https://www.linkedin.com/in/katesoule/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.ibm.com/granite">IBM Granite</a></li><li><a href="https://huggingface.co/ibm-granite">IBM Granite on Hugging Face</a></li><li><a href="https://newsroom.ibm.com/2025-02-26-ibm-expands-granite-model-family-with-new-multi-modal-and-reasoning-ai-built-for-the-enterprise">IBM Expands Granite Model Family with New Multi-Modal and Reasoning AI Built for the Enterprise </a></li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We often judge AI models by leaderboard scores, but what if efficiency matters more? Kate Soule from IBM joins us to discuss how Granite AI is rethinking AI at the edge—breaking tasks into smaller, efficient components and co-designing models with hardware. She also shares why AI should prioritize efficiency frontiers over incremental benchmark gains and how seamless model routing can optimize performance. </p><p>Featuring:</p><ul><li>Kate Soule – <a href="https://www.linkedin.com/in/katesoule/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.ibm.com/granite">IBM Granite</a></li><li><a href="https://huggingface.co/ibm-granite">IBM Granite on Hugging Face</a></li><li><a href="https://newsroom.ibm.com/2025-02-26-ibm-expands-granite-model-family-with-new-multi-modal-and-reasoning-ai-built-for-the-enterprise">IBM Expands Granite Model Family with New Multi-Modal and Reasoning AI Built for the Enterprise </a></li></ul>]]>
      </content:encoded>
      <pubDate>Fri, 14 Mar 2025 09:28:22 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/fb39a0d8/fd368e57.mp3" length="42044013" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
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      <itunes:duration>2618</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We often judge AI models by leaderboard scores, but what if efficiency matters more? Kate Soule from IBM joins us to discuss how Granite AI is rethinking AI at the edge—breaking tasks into smaller, efficient components and co-designing models with hardware. She also shares why AI should prioritize efficiency frontiers over incremental benchmark gains and how seamless model routing can optimize performance. </p><p>Featuring:</p><ul><li>Kate Soule – <a href="https://www.linkedin.com/in/katesoule/">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com/">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Links:</p><ul><li><a href="https://www.ibm.com/granite">IBM Granite</a></li><li><a href="https://huggingface.co/ibm-granite">IBM Granite on Hugging Face</a></li><li><a href="https://newsroom.ibm.com/2025-02-26-ibm-expands-granite-model-family-with-new-multi-modal-and-reasoning-ai-built-for-the-enterprise">IBM Expands Granite Model Family with New Multi-Modal and Reasoning AI Built for the Enterprise </a></li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://practicalai.fm/people/kate-soule" img="https://img.transistorcdn.com/fSnDwTz2KcM1t6KG4I21GGwbtWKpcToOjqLseFdHhZQ/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lMjM3/ZTk3YmZkYWQ1YWMx/N2Y4MjEyNDRhOTBm/NGM4Yy5qcGc.jpg">Kate Soule</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
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    </item>
    <item>
      <title>Build a workspace of AI agents</title>
      <itunes:episode>305</itunes:episode>
      <podcast:episode>305</podcast:episode>
      <itunes:title>Build a workspace of AI agents</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/b1865616</link>
      <description>
        <![CDATA[<p>How can every single person build a personal AI protégé and then accumulate (and share) a host of other assistants? In this episode, we dive into the world of no-code AI with Scott Meyer from Chipp.ai. We discuss AI tooling for people that can't code, the cultural shift that needs to happen for widespread AI adoption in businesses, and the predicted growth trajectory of AI assistant that you can own.</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li><li>Scott Meyer - <a href="https://www.linkedin.com/in/scottdavidmeyer">LinkedIn</a>, <a href="https://x.com/MrScottMeyer">X</a></li></ul><p>Sponsors:</p><ul><li><a href="https://ai.domo.com">Domo</a> – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products.</li></ul><p>Show Notes:</p><ul><li><a href="https://www.chipp.ai/">Chipp.ai</a></li><li><a href="https://discord.com/invite/TMfcNqFWSt">Chipp.ai's Discord</a></li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>How can every single person build a personal AI protégé and then accumulate (and share) a host of other assistants? In this episode, we dive into the world of no-code AI with Scott Meyer from Chipp.ai. We discuss AI tooling for people that can't code, the cultural shift that needs to happen for widespread AI adoption in businesses, and the predicted growth trajectory of AI assistant that you can own.</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li><li>Scott Meyer - <a href="https://www.linkedin.com/in/scottdavidmeyer">LinkedIn</a>, <a href="https://x.com/MrScottMeyer">X</a></li></ul><p>Sponsors:</p><ul><li><a href="https://ai.domo.com">Domo</a> – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products.</li></ul><p>Show Notes:</p><ul><li><a href="https://www.chipp.ai/">Chipp.ai</a></li><li><a href="https://discord.com/invite/TMfcNqFWSt">Chipp.ai's Discord</a></li></ul>]]>
      </content:encoded>
      <pubDate>Sat, 08 Mar 2025 12:52:57 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/b1865616/558ce8ee.mp3" length="45922447" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:image href="https://img.transistorcdn.com/Ci41mr0ajhsCmzmRHfgdLN5NspI3IUwzlrWrqztORc4/rs:fill:0:0:1/w:1400/h:1400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jMDA1/NjEzYjFkMTJlZTRm/NzYxY2U0MGU5MzM1/MDdlNi5qcGc.jpg"/>
      <itunes:duration>2859</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>How can every single person build a personal AI protégé and then accumulate (and share) a host of other assistants? In this episode, we dive into the world of no-code AI with Scott Meyer from Chipp.ai. We discuss AI tooling for people that can't code, the cultural shift that needs to happen for widespread AI adoption in businesses, and the predicted growth trajectory of AI assistant that you can own.</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li><li>Scott Meyer - <a href="https://www.linkedin.com/in/scottdavidmeyer">LinkedIn</a>, <a href="https://x.com/MrScottMeyer">X</a></li></ul><p>Sponsors:</p><ul><li><a href="https://ai.domo.com">Domo</a> – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products.</li></ul><p>Show Notes:</p><ul><li><a href="https://www.chipp.ai/">Chipp.ai</a></li><li><a href="https://discord.com/invite/TMfcNqFWSt">Chipp.ai's Discord</a></li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Guest" href="https://practicalai.fm/people/scott-meyer" img="https://img.transistorcdn.com/9CcO8JL60l3UduYGsZs9F_sUs7ZQkTNgfTrfkiOjrQU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jYWJm/YjU4MTU2NWY0MDM4/MGYzYTg5MWFkZGQ5/MzMxNC5qcGc.jpg">Scott Meyer</podcast:person>
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    <item>
      <title>GenAI hot takes and bad use cases</title>
      <itunes:episode>304</itunes:episode>
      <podcast:episode>304</podcast:episode>
      <itunes:title>GenAI hot takes and bad use cases</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2670</guid>
      <link>https://share.transistor.fm/s/8dbe8848</link>
      <description>
        <![CDATA[<p>It seems like all we hear about are the great use cases for GenAI, but where should you NOT be using the technology? On this episode Chris and Daniel share their hot takes and bad use cases. Some may surprise you!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://ai.domo.com">Domo</a> – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products. </li><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>It seems like all we hear about are the great use cases for GenAI, but where should you NOT be using the technology? On this episode Chris and Daniel share their hot takes and bad use cases. Some may surprise you!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://ai.domo.com">Domo</a> – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products. </li><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 24 Feb 2025 12:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/8dbe8848/7cde8f58.mp3" length="29611732" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>1836</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>It seems like all we hear about are the great use cases for GenAI, but where should you NOT be using the technology? On this episode Chris and Daniel share their hot takes and bad use cases. Some may surprise you!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://ai.domo.com">Domo</a> – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products. </li><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/8dbe8848/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Tool calling and agents</title>
      <itunes:episode>303</itunes:episode>
      <podcast:episode>303</podcast:episode>
      <itunes:title>Tool calling and agents</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2665</guid>
      <link>https://share.transistor.fm/s/937fd39e</link>
      <description>
        <![CDATA[<p>It seems like everyone is uses the term “agent” differently these days. In this episode, Chris and Daniel dig into the details of tool calling and its connection to agents. They help clarify how LLMs can “talk to” and “interact with” other systems like databases, APIs, web apps, etc. Along the way they share related learning resources.</p><ul><li><a href="http://notion.com/practicalai">Notion</a> – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/huggingface/smolagents">smolagents</a></li><li><a href="https://huggingface.co/learn/agents-course/unit0/introduction">Hugging Face agents course</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>It seems like everyone is uses the term “agent” differently these days. In this episode, Chris and Daniel dig into the details of tool calling and its connection to agents. They help clarify how LLMs can “talk to” and “interact with” other systems like databases, APIs, web apps, etc. Along the way they share related learning resources.</p><ul><li><a href="http://notion.com/practicalai">Notion</a> – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/huggingface/smolagents">smolagents</a></li><li><a href="https://huggingface.co/learn/agents-course/unit0/introduction">Hugging Face agents course</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Fri, 14 Feb 2025 10:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/937fd39e/d551db68.mp3" length="43440083" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2700</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>It seems like everyone is uses the term “agent” differently these days. In this episode, Chris and Daniel dig into the details of tool calling and its connection to agents. They help clarify how LLMs can “talk to” and “interact with” other systems like databases, APIs, web apps, etc. Along the way they share related learning resources.</p><ul><li><a href="http://notion.com/practicalai">Notion</a> – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/huggingface/smolagents">smolagents</a></li><li><a href="https://huggingface.co/learn/agents-course/unit0/introduction">Hugging Face agents course</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/937fd39e/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Deep-dive into DeepSeek</title>
      <itunes:episode>302</itunes:episode>
      <podcast:episode>302</podcast:episode>
      <itunes:title>Deep-dive into DeepSeek</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2658</guid>
      <link>https://share.transistor.fm/s/ffcbf272</link>
      <description>
        <![CDATA[<p>There is crazy hype and a lot of confusion related to DeepSeek’s latest model DeepSeek R1. The products provided by DeepSeek (their version of a ChatGPT-like app) has exploded in popularity. However, ties to China have raised privacy and geopolitical concerns. In this episode, Chris and Daniel cut through the hype to talk about the model, privacy implications, running DeepSeek models securely, and what this signals for open models in 2025.</p><p><br></p><p>Sponsors:</p><ul><li><a href="http://notion.com/changelog">Notion</a> – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. </li><li><a href="https://ai.domo.com">Domo</a> – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://predictionguard.com/deepseek-blog">Daniel’s blog post on DeepSeek</a></li><li><a href="https://huggingface.co/collections/deepseek-ai/deepseek-r1-678e1e131c0169c0bc89728d">DeepSeek R1 on Hugging Face</a></li><li><a href="https://www.deepseek.com/">DeepSeek</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>There is crazy hype and a lot of confusion related to DeepSeek’s latest model DeepSeek R1. The products provided by DeepSeek (their version of a ChatGPT-like app) has exploded in popularity. However, ties to China have raised privacy and geopolitical concerns. In this episode, Chris and Daniel cut through the hype to talk about the model, privacy implications, running DeepSeek models securely, and what this signals for open models in 2025.</p><p><br></p><p>Sponsors:</p><ul><li><a href="http://notion.com/changelog">Notion</a> – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. </li><li><a href="https://ai.domo.com">Domo</a> – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://predictionguard.com/deepseek-blog">Daniel’s blog post on DeepSeek</a></li><li><a href="https://huggingface.co/collections/deepseek-ai/deepseek-r1-678e1e131c0169c0bc89728d">DeepSeek R1 on Hugging Face</a></li><li><a href="https://www.deepseek.com/">DeepSeek</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Fri, 31 Jan 2025 10:30:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/ffcbf272/270b8e8f.mp3" length="48988814" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3047</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>There is crazy hype and a lot of confusion related to DeepSeek’s latest model DeepSeek R1. The products provided by DeepSeek (their version of a ChatGPT-like app) has exploded in popularity. However, ties to China have raised privacy and geopolitical concerns. In this episode, Chris and Daniel cut through the hype to talk about the model, privacy implications, running DeepSeek models securely, and what this signals for open models in 2025.</p><p><br></p><p>Sponsors:</p><ul><li><a href="http://notion.com/changelog">Notion</a> – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. </li><li><a href="https://ai.domo.com">Domo</a> – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://predictionguard.com/deepseek-blog">Daniel’s blog post on DeepSeek</a></li><li><a href="https://huggingface.co/collections/deepseek-ai/deepseek-r1-678e1e131c0169c0bc89728d">DeepSeek R1 on Hugging Face</a></li><li><a href="https://www.deepseek.com/">DeepSeek</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/ffcbf272/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Video generation with realistic motion</title>
      <itunes:episode>301</itunes:episode>
      <podcast:episode>301</podcast:episode>
      <itunes:title>Video generation with realistic motion</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2653</guid>
      <link>https://share.transistor.fm/s/7c4c29cc</link>
      <description>
        <![CDATA[<p>We seem to be experiencing a surge of video generation tools, models, and applications. However, video generation models generally struggle with some basic physics, like realistic walking motion. This leaves some generated videos lacking true motion with disappointing, simplistic panning camera views. Genmo is focused on the motion side of video generation and has released some of the best open models. Paras joins us to discuss video generation and their journey at Genmo.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://ai.domo.com">Domo</a> – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products. </li></ul><p>Featuring:</p><ul><li>Paras Jain – <a href="https://www.linkedin.com/in/jain-paras">LinkedIn</a>, <a href="https://x.com/_parasj">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.genmo.ai/">Genmo</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We seem to be experiencing a surge of video generation tools, models, and applications. However, video generation models generally struggle with some basic physics, like realistic walking motion. This leaves some generated videos lacking true motion with disappointing, simplistic panning camera views. Genmo is focused on the motion side of video generation and has released some of the best open models. Paras joins us to discuss video generation and their journey at Genmo.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://ai.domo.com">Domo</a> – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products. </li></ul><p>Featuring:</p><ul><li>Paras Jain – <a href="https://www.linkedin.com/in/jain-paras">LinkedIn</a>, <a href="https://x.com/_parasj">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.genmo.ai/">Genmo</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Thu, 23 Jan 2025 11:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/7c4c29cc/c239855c.mp3" length="43585949" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2709</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We seem to be experiencing a surge of video generation tools, models, and applications. However, video generation models generally struggle with some basic physics, like realistic walking motion. This leaves some generated videos lacking true motion with disappointing, simplistic panning camera views. Genmo is focused on the motion side of video generation and has released some of the best open models. Paras joins us to discuss video generation and their journey at Genmo.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://ai.domo.com">Domo</a> – The AI and data products platform. Strengthen your entire data journey with Domo’s AI and data products. </li></ul><p>Featuring:</p><ul><li>Paras Jain – <a href="https://www.linkedin.com/in/jain-paras">LinkedIn</a>, <a href="https://x.com/_parasj">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.genmo.ai/">Genmo</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/paras-jain" img="https://img.transistorcdn.com/4coSFYTZ_OEmbkHQBqc9TvUnKDY5xJvaVZYRkfmbj7E/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kNGNl/ZTkwOGNmODA1M2M2/MDRjYzIxODc3ZGFk/YjA0Mi5qcGVn.jpg">Paras Jain</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/7c4c29cc/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Mozart to Megadeth at CHRP</title>
      <itunes:episode>300</itunes:episode>
      <podcast:episode>300</podcast:episode>
      <itunes:title>Mozart to Megadeth at CHRP</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2643</guid>
      <link>https://share.transistor.fm/s/04a91808</link>
      <description>
        <![CDATA[<p>Daniel and Chris groove with Jeff Smith, Founder and CEO at CHRP.ai. Jeff describes how CHRP anonymously analyzes emotional wellness data, derived from employees’ music preferences, giving HR leaders actionable insights to improve productivity, retention, and overall morale. By monitoring key trends and identifying shifts in emotional health across teams, CHRP.ai enables proactive decisions to ensure employees feel supported and engaged.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.shopify.com/practicalai">Shopify</a> – Sign up for a $1/month trial period at <a href="https://www.shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="https://www.eightsleep.com/changelog">Eight Sleep</a> – <strong>Up to $600 off Pod 4 Ultra</strong> — Go to <a href="https://www.eightsleep.com/changelog">eightsleep.com/changelog</a> and use the code CHANGELOG. You can try it for free for 30 days - but we’re confident you will not want to return it (we love ours). Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. </li><li><a href="https://joindeleteme.com">DeleteMe</a> – DeleteMe makes it quick, easy and safe to remove your personal data online. </li></ul><p>Featuring:</p><ul><li>Jeff Smith – <a href="https://www.linkedin.com/in/brandexpert">LinkedIn</a>, <a href="https://x.com/jeffs_journey">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.chrp.ai">CHRP | Website</a></li><li><a href="https://www.mychrp.ai">MyCHRP</a></li><li><a href="https://www.instagram.com/chrp.ai">CHRP | Instagram</a></li><li><a href="https://www.linkedin.com/company/chrp-ai">CHRP | LinkedIn</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel and Chris groove with Jeff Smith, Founder and CEO at CHRP.ai. Jeff describes how CHRP anonymously analyzes emotional wellness data, derived from employees’ music preferences, giving HR leaders actionable insights to improve productivity, retention, and overall morale. By monitoring key trends and identifying shifts in emotional health across teams, CHRP.ai enables proactive decisions to ensure employees feel supported and engaged.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.shopify.com/practicalai">Shopify</a> – Sign up for a $1/month trial period at <a href="https://www.shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="https://www.eightsleep.com/changelog">Eight Sleep</a> – <strong>Up to $600 off Pod 4 Ultra</strong> — Go to <a href="https://www.eightsleep.com/changelog">eightsleep.com/changelog</a> and use the code CHANGELOG. You can try it for free for 30 days - but we’re confident you will not want to return it (we love ours). Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. </li><li><a href="https://joindeleteme.com">DeleteMe</a> – DeleteMe makes it quick, easy and safe to remove your personal data online. </li></ul><p>Featuring:</p><ul><li>Jeff Smith – <a href="https://www.linkedin.com/in/brandexpert">LinkedIn</a>, <a href="https://x.com/jeffs_journey">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.chrp.ai">CHRP | Website</a></li><li><a href="https://www.mychrp.ai">MyCHRP</a></li><li><a href="https://www.instagram.com/chrp.ai">CHRP | Instagram</a></li><li><a href="https://www.linkedin.com/company/chrp-ai">CHRP | LinkedIn</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Thu, 19 Dec 2024 11:30:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/04a91808/a957a48b.mp3" length="51957534" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3233</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel and Chris groove with Jeff Smith, Founder and CEO at CHRP.ai. Jeff describes how CHRP anonymously analyzes emotional wellness data, derived from employees’ music preferences, giving HR leaders actionable insights to improve productivity, retention, and overall morale. By monitoring key trends and identifying shifts in emotional health across teams, CHRP.ai enables proactive decisions to ensure employees feel supported and engaged.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.shopify.com/practicalai">Shopify</a> – Sign up for a $1/month trial period at <a href="https://www.shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="https://www.eightsleep.com/changelog">Eight Sleep</a> – <strong>Up to $600 off Pod 4 Ultra</strong> — Go to <a href="https://www.eightsleep.com/changelog">eightsleep.com/changelog</a> and use the code CHANGELOG. You can try it for free for 30 days - but we’re confident you will not want to return it (we love ours). Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. </li><li><a href="https://joindeleteme.com">DeleteMe</a> – DeleteMe makes it quick, easy and safe to remove your personal data online. </li></ul><p>Featuring:</p><ul><li>Jeff Smith – <a href="https://www.linkedin.com/in/brandexpert">LinkedIn</a>, <a href="https://x.com/jeffs_journey">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.chrp.ai">CHRP | Website</a></li><li><a href="https://www.mychrp.ai">MyCHRP</a></li><li><a href="https://www.instagram.com/chrp.ai">CHRP | Instagram</a></li><li><a href="https://www.linkedin.com/company/chrp-ai">CHRP | LinkedIn</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://twitter.com/jeffs_journey" img="https://img.transistorcdn.com/JueVACQKIIUi7sUsoIq3JUpPnIQv0nybia885VOi7QQ/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82N2My/MDgxMmNlMzM5YzBk/ZGVhYjg2ZDc0NTVk/MzIwZS5qcGc.jpg">Jeff Smith</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    </item>
    <item>
      <title>Sidekick is an AI Shopify expert</title>
      <itunes:episode>299</itunes:episode>
      <podcast:episode>299</podcast:episode>
      <itunes:title>Sidekick is an AI Shopify expert</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2640</guid>
      <link>https://share.transistor.fm/s/f5a16bd0</link>
      <description>
        <![CDATA[<p>Today, Chris explores Shopify Magic and other AI offerings with Mike Tamir, Distinguished ML Engineer and Head of Machine Learning, and Matt Colyer, Director of Product Management for Sidekick. They talk about how Shopify uses generative AI and LLMs to enhance their products, and they take a deeper dive into Sidekick, a first-of-its-kind, AI-enabled commerce assistant that understands a merchant’s business (products, orders, customers) and has been trained to know all about Shopify.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://www.timescale.com">Timescale</a> – <strong>Purpose-built performance for AI</strong> Build RAG, search, and AI agents on the cloud and with PostgreSQL and purpose-built extensions for AI: pgvector, pgvectorscale, and pgai. </li><li><a href="https://www.eightsleep.com/changelog">Eight Sleep</a> – <strong>Up to $600 off Pod 4 Ultra</strong> — Go to <a href="https://www.eightsleep.com/changelog">eightsleep.com/changelog</a> and use the code CHANGELOG. You can try it for free for 30 days - but we’re confident you will not want to return it (we love ours). Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. </li></ul><p>Featuring:</p><ul><li>Mike Tamir – <a href="https://www.linkedin.com/in/miketamir">LinkedIn</a></li><li>Matt Colyer – <a href="https://www.linkedin.com/in/mattcolyer">LinkedIn</a>, <a href="https://x.com/mcolyer">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://shopify.com">Shopify</a></li><li><a href="http://shopify.com/editions/winter2025">Shopify’s Winter Edition ’25</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Today, Chris explores Shopify Magic and other AI offerings with Mike Tamir, Distinguished ML Engineer and Head of Machine Learning, and Matt Colyer, Director of Product Management for Sidekick. They talk about how Shopify uses generative AI and LLMs to enhance their products, and they take a deeper dive into Sidekick, a first-of-its-kind, AI-enabled commerce assistant that understands a merchant’s business (products, orders, customers) and has been trained to know all about Shopify.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://www.timescale.com">Timescale</a> – <strong>Purpose-built performance for AI</strong> Build RAG, search, and AI agents on the cloud and with PostgreSQL and purpose-built extensions for AI: pgvector, pgvectorscale, and pgai. </li><li><a href="https://www.eightsleep.com/changelog">Eight Sleep</a> – <strong>Up to $600 off Pod 4 Ultra</strong> — Go to <a href="https://www.eightsleep.com/changelog">eightsleep.com/changelog</a> and use the code CHANGELOG. You can try it for free for 30 days - but we’re confident you will not want to return it (we love ours). Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. </li></ul><p>Featuring:</p><ul><li>Mike Tamir – <a href="https://www.linkedin.com/in/miketamir">LinkedIn</a></li><li>Matt Colyer – <a href="https://www.linkedin.com/in/mattcolyer">LinkedIn</a>, <a href="https://x.com/mcolyer">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://shopify.com">Shopify</a></li><li><a href="http://shopify.com/editions/winter2025">Shopify’s Winter Edition ’25</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 11 Dec 2024 17:15:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/f5a16bd0/4db0a9b4.mp3" length="49786243" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3097</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Today, Chris explores Shopify Magic and other AI offerings with Mike Tamir, Distinguished ML Engineer and Head of Machine Learning, and Matt Colyer, Director of Product Management for Sidekick. They talk about how Shopify uses generative AI and LLMs to enhance their products, and they take a deeper dive into Sidekick, a first-of-its-kind, AI-enabled commerce assistant that understands a merchant’s business (products, orders, customers) and has been trained to know all about Shopify.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://www.timescale.com">Timescale</a> – <strong>Purpose-built performance for AI</strong> Build RAG, search, and AI agents on the cloud and with PostgreSQL and purpose-built extensions for AI: pgvector, pgvectorscale, and pgai. </li><li><a href="https://www.eightsleep.com/changelog">Eight Sleep</a> – <strong>Up to $600 off Pod 4 Ultra</strong> — Go to <a href="https://www.eightsleep.com/changelog">eightsleep.com/changelog</a> and use the code CHANGELOG. You can try it for free for 30 days - but we’re confident you will not want to return it (we love ours). Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. </li></ul><p>Featuring:</p><ul><li>Mike Tamir – <a href="https://www.linkedin.com/in/miketamir">LinkedIn</a></li><li>Matt Colyer – <a href="https://www.linkedin.com/in/mattcolyer">LinkedIn</a>, <a href="https://x.com/mcolyer">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://shopify.com">Shopify</a></li><li><a href="http://shopify.com/editions/winter2025">Shopify’s Winter Edition ’25</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/miketamir" img="https://img.transistorcdn.com/VQHtWW4nMNGG-KNxKwYFpRNnQaxGcTjE1tTIvRgImqU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9iMTdk/ZjFhNmFkZTRmMmQ1/NzVhY2NmMjkzZTVj/Mjk2Zi5qcGc.jpg">Mike Tamir</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/mattcolyer" img="https://img.transistorcdn.com/IT4YX7sUSY3cdO7GwYFYQFMuOcmor34cVdzuyCrJxRQ/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jYzc3/ODlkOWRiOTgzODdk/YTQ0NDIwNzAzMGIz/ZTg2ZS5qcGc.jpg">Matt Colyer</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/f5a16bd0/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Full-duplex, real-time dialogue with Kyutai</title>
      <itunes:episode>298</itunes:episode>
      <podcast:episode>298</podcast:episode>
      <itunes:title>Full-duplex, real-time dialogue with Kyutai</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2631</guid>
      <link>https://share.transistor.fm/s/3f7b3ef6</link>
      <description>
        <![CDATA[<p>Kyutai, an open science research lab, made headlines over the summer when they released their real-time speech-to-speech AI assistant (beating OpenAI to market with their teased GPT-driven speech-to-speech functionality). Alex from Kyutai joins us in this episode to discuss the research lab, their recent Moshi models, and what might be coming next from the lab. Along the way we discuss small models and the AI ecosystem in France.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://www.timescale.com">Timescale</a> – <strong>Purpose-built performance for AI</strong> Build RAG, search, and AI agents on the cloud and with PostgreSQL and purpose-built extensions for AI: pgvector, pgvectorscale, and pgai. </li><li><a href="https://workos.com">WorkOS</a> – <strong>AuthKit offers 1,000,000 monthly active users (MAU) free</strong> — The world’s best login box, powered by WorkOS + Radix. Learn more and get started at <a href="https://workos.com/">WorkOS.com</a> and <a href="https://www.authkit.com">AuthKit.com</a></li></ul><p>Featuring:</p><ul><li>Alexandre Défossez – <a href="https://ai.honu.io">Website</a>, <a href="https://github.com/adefossez">GitHub</a>, <a href="https://x.com/honualx">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://kyutai.org/">Kyutai</a></li><li><a href="https://github.com/kyutai-labs/moshi">Kyutai on GitHub</a></li><li><a href="https://huggingface.co/kyutai">Kyutai on Hugging Face</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Kyutai, an open science research lab, made headlines over the summer when they released their real-time speech-to-speech AI assistant (beating OpenAI to market with their teased GPT-driven speech-to-speech functionality). Alex from Kyutai joins us in this episode to discuss the research lab, their recent Moshi models, and what might be coming next from the lab. Along the way we discuss small models and the AI ecosystem in France.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://www.timescale.com">Timescale</a> – <strong>Purpose-built performance for AI</strong> Build RAG, search, and AI agents on the cloud and with PostgreSQL and purpose-built extensions for AI: pgvector, pgvectorscale, and pgai. </li><li><a href="https://workos.com">WorkOS</a> – <strong>AuthKit offers 1,000,000 monthly active users (MAU) free</strong> — The world’s best login box, powered by WorkOS + Radix. Learn more and get started at <a href="https://workos.com/">WorkOS.com</a> and <a href="https://www.authkit.com">AuthKit.com</a></li></ul><p>Featuring:</p><ul><li>Alexandre Défossez – <a href="https://ai.honu.io">Website</a>, <a href="https://github.com/adefossez">GitHub</a>, <a href="https://x.com/honualx">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://kyutai.org/">Kyutai</a></li><li><a href="https://github.com/kyutai-labs/moshi">Kyutai on GitHub</a></li><li><a href="https://huggingface.co/kyutai">Kyutai on Hugging Face</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 04 Dec 2024 11:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>3003</itunes:duration>
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        <![CDATA[<p>Kyutai, an open science research lab, made headlines over the summer when they released their real-time speech-to-speech AI assistant (beating OpenAI to market with their teased GPT-driven speech-to-speech functionality). Alex from Kyutai joins us in this episode to discuss the research lab, their recent Moshi models, and what might be coming next from the lab. Along the way we discuss small models and the AI ecosystem in France.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://www.timescale.com">Timescale</a> – <strong>Purpose-built performance for AI</strong> Build RAG, search, and AI agents on the cloud and with PostgreSQL and purpose-built extensions for AI: pgvector, pgvectorscale, and pgai. </li><li><a href="https://workos.com">WorkOS</a> – <strong>AuthKit offers 1,000,000 monthly active users (MAU) free</strong> — The world’s best login box, powered by WorkOS + Radix. Learn more and get started at <a href="https://workos.com/">WorkOS.com</a> and <a href="https://www.authkit.com">AuthKit.com</a></li></ul><p>Featuring:</p><ul><li>Alexandre Défossez – <a href="https://ai.honu.io">Website</a>, <a href="https://github.com/adefossez">GitHub</a>, <a href="https://x.com/honualx">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://kyutai.org/">Kyutai</a></li><li><a href="https://github.com/kyutai-labs/moshi">Kyutai on GitHub</a></li><li><a href="https://huggingface.co/kyutai">Kyutai on Hugging Face</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/adefossez" img="https://img.transistorcdn.com/UEPcY5_adClcj6gHdE6RDGR1PFhgKAFb6gyI73Kt_-Y/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81NDBj/Y2Y3NTM1ZjBiMzQ2/MTIxZDYwOWE2MDU4/ZjFiYy5qcGVn.jpg">Alexandre Défossez</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>Clones, commerce &amp; campaigns</title>
      <itunes:episode>297</itunes:episode>
      <podcast:episode>297</podcast:episode>
      <itunes:title>Clones, commerce &amp; campaigns</itunes:title>
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      <link>https://share.transistor.fm/s/fb1edb1f</link>
      <description>
        <![CDATA[<p>Chris and Daniel dive into what Trump’s impending second term could mean for AI companies, model developers, and regulators, unpacking the potential shifts in policy and innovation. Next, they discuss the latest models, like Qwen, that blur the performance gap between open and closed systems. Finally, they explore new AI tools for meeting clones and AI-driven commerce, sparking a conversation about the balance between digital convenience and fostering genuine human connections.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://workos.com">WorkOS</a> – <strong>AuthKit offers 1,000,000 monthly active users (MAU) free</strong> — The world’s best login box, powered by WorkOS + Radix. Learn more and get started at <a href="https://workos.com/">WorkOS.com</a> and <a href="https://www.authkit.com">AuthKit.com</a></li><li><a href="http://notion.com/practicalai">Notion</a> – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. </li><li><a href="https://retool.com/changelog">Retool</a> – <strong>The low-code platform for developers to build internal tools</strong> — Some of the best teams out there trust Retool…Brex, Coinbase, Plaid, Doordash, LegalGenius, Amazon, Allbirds, Peloton, and so many more – the developers at these teams trust Retool as the platform to build their internal tools. Try it free at <a href="https://retool.com/changelog">retool.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>New Models <ul><li>Qwen2.5 <ul><li><a href="https://restofworld.org/2024/alibaba-qwen-ai-model/">Alibaba’s Qwen AI Model</a></li><li><a href="https://the-decoder.com/alibabas-qwen2-5-turbo-reads-ten-novels-in-just-about-one-minute/">Qwen2.5 Turbo Reads Ten Novels in One Minute</a></li></ul></li><li>DeepSeek <ul><li><a href="https://api-docs.deepseek.com/news/news1120">DeepSeek API Docs Update</a></li></ul></li><li>FLUX <ul><li><a href="https://huggingface.co/black-forest-labs/FLUX.1-dev">Black Forest Labs’ FLUX.1-dev on Hugging Face</a></li></ul></li><li>OuteTTS <ul><li><a href="https://www.outeai.com/blog/outetts-0.1-350m">OuteTTS 0.1 - 350M Blog</a></li><li><a href="https://www.outeai.com/blog/outetts-0.2-500m">OuteTTS 0.2 - 500M Blog</a></li><li><a href="https://www.linkedin.com/posts/vaibhavs10_smol-tts-keeps-getting-better-introducing-a-new-467706429441-SOOG?utm_source=share&amp;utm_medium=member_desktop">Smol TTS Update on LinkedIn</a></li></ul></li><li>SmolLVM <ul><li><a href="https://www.linkedin.com/posts/philipp-schmid-a6a2bb196_smollm-can-now-see-meet-smolv-075214778369-0Zlu?utm_source=share&amp;utm_medium=member_desktop">SmolLVM Updates on LinkedIn</a></li></ul></li></ul></li><li><a href="https://time.com/7174210/what-donald-trump-win-means-for-ai/">What Donald Trump’s Win Means for AI</a><ul><li><a href="https://changelog.com/practicalai/244">Practical AI Podcast: Episode 244</a></li></ul></li><li><a href="https://getpickle.ai/">GetPickle.ai</a></li><li>Docling <ul><li><a href="https://arxiv.org/pdf/2408.09869">Docling Paper on arXiv</a></li><li><a href="https://github.com/DS4SD/docling">Docling GitHub Repository</a></li><li><a href="https://www.redhat.com/en/blog/docling-missing-document-processing-companion-generative-ai">Red Hat Blog on Docling</a></li><li><a href="https://www.linkedin.com/posts/inesmontani_many-of-you-have-been-asking-about-pdf-table-extraction-985818955776-18ex?utm_source=share&amp;utm_medium=member_android">LinkedIn Post on PDF Table Extraction</a></li><li><a href="https://huggingface.co/blog/davidberenstein1957/observers-a-lightweight-sdk-for-ai-observability">Hugging Face Blog on Observers SDK</a></li></ul></li><li>AI and Commerce <ul><li><a href="https://stripe.dev/blog/adding-payments-to-your-agentic-workflows">Stripe Blog: Adding Payments to Agentic Workflows</a></li><li><a href="https://www.linkedin.com/posts/aravind-srinivas-16051987_we-are-excited-to-introduce-payments-sdk-601475915776-BFEN?utm_source=share&amp;utm_medium=member_desktop">LinkedIn Announcement: Payments Integration SDK</a></li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Chris and Daniel dive into what Trump’s impending second term could mean for AI companies, model developers, and regulators, unpacking the potential shifts in policy and innovation. Next, they discuss the latest models, like Qwen, that blur the performance gap between open and closed systems. Finally, they explore new AI tools for meeting clones and AI-driven commerce, sparking a conversation about the balance between digital convenience and fostering genuine human connections.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://workos.com">WorkOS</a> – <strong>AuthKit offers 1,000,000 monthly active users (MAU) free</strong> — The world’s best login box, powered by WorkOS + Radix. Learn more and get started at <a href="https://workos.com/">WorkOS.com</a> and <a href="https://www.authkit.com">AuthKit.com</a></li><li><a href="http://notion.com/practicalai">Notion</a> – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. </li><li><a href="https://retool.com/changelog">Retool</a> – <strong>The low-code platform for developers to build internal tools</strong> — Some of the best teams out there trust Retool…Brex, Coinbase, Plaid, Doordash, LegalGenius, Amazon, Allbirds, Peloton, and so many more – the developers at these teams trust Retool as the platform to build their internal tools. Try it free at <a href="https://retool.com/changelog">retool.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>New Models <ul><li>Qwen2.5 <ul><li><a href="https://restofworld.org/2024/alibaba-qwen-ai-model/">Alibaba’s Qwen AI Model</a></li><li><a href="https://the-decoder.com/alibabas-qwen2-5-turbo-reads-ten-novels-in-just-about-one-minute/">Qwen2.5 Turbo Reads Ten Novels in One Minute</a></li></ul></li><li>DeepSeek <ul><li><a href="https://api-docs.deepseek.com/news/news1120">DeepSeek API Docs Update</a></li></ul></li><li>FLUX <ul><li><a href="https://huggingface.co/black-forest-labs/FLUX.1-dev">Black Forest Labs’ FLUX.1-dev on Hugging Face</a></li></ul></li><li>OuteTTS <ul><li><a href="https://www.outeai.com/blog/outetts-0.1-350m">OuteTTS 0.1 - 350M Blog</a></li><li><a href="https://www.outeai.com/blog/outetts-0.2-500m">OuteTTS 0.2 - 500M Blog</a></li><li><a href="https://www.linkedin.com/posts/vaibhavs10_smol-tts-keeps-getting-better-introducing-a-new-467706429441-SOOG?utm_source=share&amp;utm_medium=member_desktop">Smol TTS Update on LinkedIn</a></li></ul></li><li>SmolLVM <ul><li><a href="https://www.linkedin.com/posts/philipp-schmid-a6a2bb196_smollm-can-now-see-meet-smolv-075214778369-0Zlu?utm_source=share&amp;utm_medium=member_desktop">SmolLVM Updates on LinkedIn</a></li></ul></li></ul></li><li><a href="https://time.com/7174210/what-donald-trump-win-means-for-ai/">What Donald Trump’s Win Means for AI</a><ul><li><a href="https://changelog.com/practicalai/244">Practical AI Podcast: Episode 244</a></li></ul></li><li><a href="https://getpickle.ai/">GetPickle.ai</a></li><li>Docling <ul><li><a href="https://arxiv.org/pdf/2408.09869">Docling Paper on arXiv</a></li><li><a href="https://github.com/DS4SD/docling">Docling GitHub Repository</a></li><li><a href="https://www.redhat.com/en/blog/docling-missing-document-processing-companion-generative-ai">Red Hat Blog on Docling</a></li><li><a href="https://www.linkedin.com/posts/inesmontani_many-of-you-have-been-asking-about-pdf-table-extraction-985818955776-18ex?utm_source=share&amp;utm_medium=member_android">LinkedIn Post on PDF Table Extraction</a></li><li><a href="https://huggingface.co/blog/davidberenstein1957/observers-a-lightweight-sdk-for-ai-observability">Hugging Face Blog on Observers SDK</a></li></ul></li><li>AI and Commerce <ul><li><a href="https://stripe.dev/blog/adding-payments-to-your-agentic-workflows">Stripe Blog: Adding Payments to Agentic Workflows</a></li><li><a href="https://www.linkedin.com/posts/aravind-srinivas-16051987_we-are-excited-to-introduce-payments-sdk-601475915776-BFEN?utm_source=share&amp;utm_medium=member_desktop">LinkedIn Announcement: Payments Integration SDK</a></li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Fri, 29 Nov 2024 12:30:00 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>3191</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Chris and Daniel dive into what Trump’s impending second term could mean for AI companies, model developers, and regulators, unpacking the potential shifts in policy and innovation. Next, they discuss the latest models, like Qwen, that blur the performance gap between open and closed systems. Finally, they explore new AI tools for meeting clones and AI-driven commerce, sparking a conversation about the balance between digital convenience and fostering genuine human connections.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://workos.com">WorkOS</a> – <strong>AuthKit offers 1,000,000 monthly active users (MAU) free</strong> — The world’s best login box, powered by WorkOS + Radix. Learn more and get started at <a href="https://workos.com/">WorkOS.com</a> and <a href="https://www.authkit.com">AuthKit.com</a></li><li><a href="http://notion.com/practicalai">Notion</a> – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. </li><li><a href="https://retool.com/changelog">Retool</a> – <strong>The low-code platform for developers to build internal tools</strong> — Some of the best teams out there trust Retool…Brex, Coinbase, Plaid, Doordash, LegalGenius, Amazon, Allbirds, Peloton, and so many more – the developers at these teams trust Retool as the platform to build their internal tools. Try it free at <a href="https://retool.com/changelog">retool.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>New Models <ul><li>Qwen2.5 <ul><li><a href="https://restofworld.org/2024/alibaba-qwen-ai-model/">Alibaba’s Qwen AI Model</a></li><li><a href="https://the-decoder.com/alibabas-qwen2-5-turbo-reads-ten-novels-in-just-about-one-minute/">Qwen2.5 Turbo Reads Ten Novels in One Minute</a></li></ul></li><li>DeepSeek <ul><li><a href="https://api-docs.deepseek.com/news/news1120">DeepSeek API Docs Update</a></li></ul></li><li>FLUX <ul><li><a href="https://huggingface.co/black-forest-labs/FLUX.1-dev">Black Forest Labs’ FLUX.1-dev on Hugging Face</a></li></ul></li><li>OuteTTS <ul><li><a href="https://www.outeai.com/blog/outetts-0.1-350m">OuteTTS 0.1 - 350M Blog</a></li><li><a href="https://www.outeai.com/blog/outetts-0.2-500m">OuteTTS 0.2 - 500M Blog</a></li><li><a href="https://www.linkedin.com/posts/vaibhavs10_smol-tts-keeps-getting-better-introducing-a-new-467706429441-SOOG?utm_source=share&amp;utm_medium=member_desktop">Smol TTS Update on LinkedIn</a></li></ul></li><li>SmolLVM <ul><li><a href="https://www.linkedin.com/posts/philipp-schmid-a6a2bb196_smollm-can-now-see-meet-smolv-075214778369-0Zlu?utm_source=share&amp;utm_medium=member_desktop">SmolLVM Updates on LinkedIn</a></li></ul></li></ul></li><li><a href="https://time.com/7174210/what-donald-trump-win-means-for-ai/">What Donald Trump’s Win Means for AI</a><ul><li><a href="https://changelog.com/practicalai/244">Practical AI Podcast: Episode 244</a></li></ul></li><li><a href="https://getpickle.ai/">GetPickle.ai</a></li><li>Docling <ul><li><a href="https://arxiv.org/pdf/2408.09869">Docling Paper on arXiv</a></li><li><a href="https://github.com/DS4SD/docling">Docling GitHub Repository</a></li><li><a href="https://www.redhat.com/en/blog/docling-missing-document-processing-companion-generative-ai">Red Hat Blog on Docling</a></li><li><a href="https://www.linkedin.com/posts/inesmontani_many-of-you-have-been-asking-about-pdf-table-extraction-985818955776-18ex?utm_source=share&amp;utm_medium=member_android">LinkedIn Post on PDF Table Extraction</a></li><li><a href="https://huggingface.co/blog/davidberenstein1957/observers-a-lightweight-sdk-for-ai-observability">Hugging Face Blog on Observers SDK</a></li></ul></li><li>AI and Commerce <ul><li><a href="https://stripe.dev/blog/adding-payments-to-your-agentic-workflows">Stripe Blog: Adding Payments to Agentic Workflows</a></li><li><a href="https://www.linkedin.com/posts/aravind-srinivas-16051987_we-are-excited-to-introduce-payments-sdk-601475915776-BFEN?utm_source=share&amp;utm_medium=member_desktop">LinkedIn Announcement: Payments Integration SDK</a></li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/fb1edb1f/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>scikit-learn &amp; data science you own</title>
      <itunes:episode>296</itunes:episode>
      <podcast:episode>296</podcast:episode>
      <itunes:title>scikit-learn &amp; data science you own</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2623</guid>
      <link>https://share.transistor.fm/s/5e938e26</link>
      <description>
        <![CDATA[<p>We are at GenAI saturation, so let’s talk about scikit-learn, a long time favorite for data scientists building classifiers, time series analyzers, dimensionality reducers, and more! Scikit-learn is deployed across industry and driving a significant portion of the “AI” that is actually in production. :probabl is a new kind of company that is stewarding this project along with a variety of other open source projects. Yann Lechelle and Guillaume Lemaitre share some of the vision behind the company and talk about the future of scikit-learn!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.timescale.com">Timescale</a> – <strong>Purpose-built performance for AI</strong> Build RAG, search, and AI agents on the cloud and with PostgreSQL and purpose-built extensions for AI: pgvector, pgvectorscale, and pgai. </li><li><a href="https://workos.com">WorkOS</a> – <strong>A platform that gives developers a set of building blocks for quickly adding enterprise-ready features</strong> to their application. Add Single Sign-On (Okta, Azure, Google, Microsoft OAuth), sync users from any SCIM directory, HRIS integration, audit trails (SIEM), free magic link sign-in. WorkOS is designed for developers and offers a single, elegant interface that abstracts dozens of enterprise integrations. Learn more and get started at <a href="https://workos.com/">WorkOS.com</a></li><li><a href="https://www.shopify.com/practicalai">Shopify</a> – Sign up for a $1/month trial period at <a href="https://www.shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Featuring:</p><ul><li>Yann Lechelle – <a href="https://www.linkedin.com/in/ylechelle">LinkedIn</a></li><li>Guillaume Lemaitre – <a href="https://github.com/glemaitre">GitHub</a>, <a href="https://www.linkedin.com/in/guillaume-lemaitre-b9404939">LinkedIn</a>, <a href="https://fosstodon.org/@glemaitre">Mastodon</a>, <a href="https://x.com/glemaitre58">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://probabl.ai/">:probabl.</a></li><li><a href="https://techcrunch.com/2024/02/01/probabl-is-a-new-ai-company-built-around-popular-library-scikit-learn/">TechCrunch: Probabl is a new AI company built around popular library scikit-learn</a></li><li><a href="https://scikit-learn.org/stable/">scikit-learn</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We are at GenAI saturation, so let’s talk about scikit-learn, a long time favorite for data scientists building classifiers, time series analyzers, dimensionality reducers, and more! Scikit-learn is deployed across industry and driving a significant portion of the “AI” that is actually in production. :probabl is a new kind of company that is stewarding this project along with a variety of other open source projects. Yann Lechelle and Guillaume Lemaitre share some of the vision behind the company and talk about the future of scikit-learn!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.timescale.com">Timescale</a> – <strong>Purpose-built performance for AI</strong> Build RAG, search, and AI agents on the cloud and with PostgreSQL and purpose-built extensions for AI: pgvector, pgvectorscale, and pgai. </li><li><a href="https://workos.com">WorkOS</a> – <strong>A platform that gives developers a set of building blocks for quickly adding enterprise-ready features</strong> to their application. Add Single Sign-On (Okta, Azure, Google, Microsoft OAuth), sync users from any SCIM directory, HRIS integration, audit trails (SIEM), free magic link sign-in. WorkOS is designed for developers and offers a single, elegant interface that abstracts dozens of enterprise integrations. Learn more and get started at <a href="https://workos.com/">WorkOS.com</a></li><li><a href="https://www.shopify.com/practicalai">Shopify</a> – Sign up for a $1/month trial period at <a href="https://www.shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Featuring:</p><ul><li>Yann Lechelle – <a href="https://www.linkedin.com/in/ylechelle">LinkedIn</a></li><li>Guillaume Lemaitre – <a href="https://github.com/glemaitre">GitHub</a>, <a href="https://www.linkedin.com/in/guillaume-lemaitre-b9404939">LinkedIn</a>, <a href="https://fosstodon.org/@glemaitre">Mastodon</a>, <a href="https://x.com/glemaitre58">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://probabl.ai/">:probabl.</a></li><li><a href="https://techcrunch.com/2024/02/01/probabl-is-a-new-ai-company-built-around-popular-library-scikit-learn/">TechCrunch: Probabl is a new AI company built around popular library scikit-learn</a></li><li><a href="https://scikit-learn.org/stable/">scikit-learn</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 19 Nov 2024 16:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/5e938e26/995d49d3.mp3" length="50184456" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3122</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We are at GenAI saturation, so let’s talk about scikit-learn, a long time favorite for data scientists building classifiers, time series analyzers, dimensionality reducers, and more! Scikit-learn is deployed across industry and driving a significant portion of the “AI” that is actually in production. :probabl is a new kind of company that is stewarding this project along with a variety of other open source projects. Yann Lechelle and Guillaume Lemaitre share some of the vision behind the company and talk about the future of scikit-learn!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.timescale.com">Timescale</a> – <strong>Purpose-built performance for AI</strong> Build RAG, search, and AI agents on the cloud and with PostgreSQL and purpose-built extensions for AI: pgvector, pgvectorscale, and pgai. </li><li><a href="https://workos.com">WorkOS</a> – <strong>A platform that gives developers a set of building blocks for quickly adding enterprise-ready features</strong> to their application. Add Single Sign-On (Okta, Azure, Google, Microsoft OAuth), sync users from any SCIM directory, HRIS integration, audit trails (SIEM), free magic link sign-in. WorkOS is designed for developers and offers a single, elegant interface that abstracts dozens of enterprise integrations. Learn more and get started at <a href="https://workos.com/">WorkOS.com</a></li><li><a href="https://www.shopify.com/practicalai">Shopify</a> – Sign up for a $1/month trial period at <a href="https://www.shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Featuring:</p><ul><li>Yann Lechelle – <a href="https://www.linkedin.com/in/ylechelle">LinkedIn</a></li><li>Guillaume Lemaitre – <a href="https://github.com/glemaitre">GitHub</a>, <a href="https://www.linkedin.com/in/guillaume-lemaitre-b9404939">LinkedIn</a>, <a href="https://fosstodon.org/@glemaitre">Mastodon</a>, <a href="https://x.com/glemaitre58">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://probabl.ai/">:probabl.</a></li><li><a href="https://techcrunch.com/2024/02/01/probabl-is-a-new-ai-company-built-around-popular-library-scikit-learn/">TechCrunch: Probabl is a new AI company built around popular library scikit-learn</a></li><li><a href="https://scikit-learn.org/stable/">scikit-learn</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/ylechelle" img="https://img.transistorcdn.com/j9qIiafvhiCfrU0LX_V565cXH1YuZdY9KrWbtWm7HE4/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jMGFm/NDYyMzRiZjI4N2Ux/MGU2MjBmZGE0YmNm/N2M4OS5qcGVn.jpg">Yann Lechelle</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/glemaitre" img="https://img.transistorcdn.com/gFNjkTmdmKVP370eQbJNeylXGwbGAFGFia5v_eVqqEw/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wODY2/NDU4NDI2YTAyNmUz/YzQ0YmQ5NzAyMDcw/ZTJmOS5qcGVn.jpg">Guillaume Lemaitre</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/5e938e26/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Creating tested, reliable AI applications</title>
      <itunes:episode>295</itunes:episode>
      <podcast:episode>295</podcast:episode>
      <itunes:title>Creating tested, reliable AI applications</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2615</guid>
      <link>https://share.transistor.fm/s/604d821f</link>
      <description>
        <![CDATA[<p>It can be frustrating to get an AI application working amazingly well 80% of the time and failing miserably the other 20%. How can you close the gap and create something that you rely on? Chris and Daniel talk through this process, behavior testing, and the flow from prototype to production in this episode. They also talk a bit about the apparent slow down in the release of frontier models.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://www.timescale.com">Timescale</a> – <strong>Purpose-built performance for AI</strong> Build RAG, search, and AI agents on the cloud and with PostgreSQL and purpose-built extensions for AI: pgvector, pgvectorscale, and pgai. </li><li><a href="https://www.eightsleep.com/changelog">Eight Sleep</a> – <strong>Up to $600 off Pod 4 Ultra</strong> Go to <a href="https://www.eightsleep.com/changelog">eightsleep.com/changelog</a> and use the code CHANGELOG. You can try it for free for 30 days - but we’re confident you will not want to return it (we love ours). Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://home.mlops.community/public/events/aiagentsinprod">MLOps Community “Agents in Production” event</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>It can be frustrating to get an AI application working amazingly well 80% of the time and failing miserably the other 20%. How can you close the gap and create something that you rely on? Chris and Daniel talk through this process, behavior testing, and the flow from prototype to production in this episode. They also talk a bit about the apparent slow down in the release of frontier models.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://www.timescale.com">Timescale</a> – <strong>Purpose-built performance for AI</strong> Build RAG, search, and AI agents on the cloud and with PostgreSQL and purpose-built extensions for AI: pgvector, pgvectorscale, and pgai. </li><li><a href="https://www.eightsleep.com/changelog">Eight Sleep</a> – <strong>Up to $600 off Pod 4 Ultra</strong> Go to <a href="https://www.eightsleep.com/changelog">eightsleep.com/changelog</a> and use the code CHANGELOG. You can try it for free for 30 days - but we’re confident you will not want to return it (we love ours). Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://home.mlops.community/public/events/aiagentsinprod">MLOps Community “Agents in Production” event</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 13 Nov 2024 14:30:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/604d821f/c7d880d2.mp3" length="48348442" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3007</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>It can be frustrating to get an AI application working amazingly well 80% of the time and failing miserably the other 20%. How can you close the gap and create something that you rely on? Chris and Daniel talk through this process, behavior testing, and the flow from prototype to production in this episode. They also talk a bit about the apparent slow down in the release of frontier models.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://www.timescale.com">Timescale</a> – <strong>Purpose-built performance for AI</strong> Build RAG, search, and AI agents on the cloud and with PostgreSQL and purpose-built extensions for AI: pgvector, pgvectorscale, and pgai. </li><li><a href="https://www.eightsleep.com/changelog">Eight Sleep</a> – <strong>Up to $600 off Pod 4 Ultra</strong> Go to <a href="https://www.eightsleep.com/changelog">eightsleep.com/changelog</a> and use the code CHANGELOG. You can try it for free for 30 days - but we’re confident you will not want to return it (we love ours). Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://home.mlops.community/public/events/aiagentsinprod">MLOps Community “Agents in Production” event</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/604d821f/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>AI is changing the cybersecurity threat landscape</title>
      <itunes:episode>294</itunes:episode>
      <podcast:episode>294</podcast:episode>
      <itunes:title>AI is changing the cybersecurity threat landscape</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2604</guid>
      <link>https://share.transistor.fm/s/e656f736</link>
      <description>
        <![CDATA[<p>This week, Chris is joined by Gregory Richardson, Vice President and Global Advisory CISO at BlackBerry, and Ismael Valenzuela, Vice President of Threat Research &amp; Intelligence at BlackBerry. They address how AI is changing the threat landscape, why human defenders remain a key part of our cyber defenses, and the explain the AI standoff between cyber threat actors and cyber defenders.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="http://notion.com/practicalai">Notion</a> – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. </li><li><a href="https://www.eightsleep.com/practicalai">Eight Sleep</a> – <strong>Take your sleep and recovery to the next level.</strong> Go to <a href="https://www.eightsleep.com/practicalai/">eightsleep.com/PRACTICALAI</a> and use the code PRACTICALAI to get $350 off your very own Pod 4 Ultra. You can try it for free for 30 days - but we’re confident you will not want to return it. Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. </li></ul><p>Featuring:</p><ul><li>Gregory Richardson – <a href="https://www.linkedin.com/in/gregorypkrichardson">LinkedIn</a></li><li>Ismael Valenzuela – <a href="https://github.com/aboutsecurity">GitHub</a>, <a href="https://www.linkedin.com/in/ivalenzuela">LinkedIn</a>, <a href="https://x.com/aboutsecurity">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://blogs.blackberry.com/en/2024/03/ai-in-cybersecurity-attackers-defenders">The AI Standoff: Attackers vs. Defenders | Blackberry Blog</a></li><li><a href="https://www.blackberry.com">Blackberry</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>This week, Chris is joined by Gregory Richardson, Vice President and Global Advisory CISO at BlackBerry, and Ismael Valenzuela, Vice President of Threat Research &amp; Intelligence at BlackBerry. They address how AI is changing the threat landscape, why human defenders remain a key part of our cyber defenses, and the explain the AI standoff between cyber threat actors and cyber defenders.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="http://notion.com/practicalai">Notion</a> – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. </li><li><a href="https://www.eightsleep.com/practicalai">Eight Sleep</a> – <strong>Take your sleep and recovery to the next level.</strong> Go to <a href="https://www.eightsleep.com/practicalai/">eightsleep.com/PRACTICALAI</a> and use the code PRACTICALAI to get $350 off your very own Pod 4 Ultra. You can try it for free for 30 days - but we’re confident you will not want to return it. Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. </li></ul><p>Featuring:</p><ul><li>Gregory Richardson – <a href="https://www.linkedin.com/in/gregorypkrichardson">LinkedIn</a></li><li>Ismael Valenzuela – <a href="https://github.com/aboutsecurity">GitHub</a>, <a href="https://www.linkedin.com/in/ivalenzuela">LinkedIn</a>, <a href="https://x.com/aboutsecurity">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://blogs.blackberry.com/en/2024/03/ai-in-cybersecurity-attackers-defenders">The AI Standoff: Attackers vs. Defenders | Blackberry Blog</a></li><li><a href="https://www.blackberry.com">Blackberry</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 05 Nov 2024 14:40:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/e656f736/b31150cf.mp3" length="53399524" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3323</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>This week, Chris is joined by Gregory Richardson, Vice President and Global Advisory CISO at BlackBerry, and Ismael Valenzuela, Vice President of Threat Research &amp; Intelligence at BlackBerry. They address how AI is changing the threat landscape, why human defenders remain a key part of our cyber defenses, and the explain the AI standoff between cyber threat actors and cyber defenders.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="http://notion.com/practicalai">Notion</a> – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. </li><li><a href="https://www.eightsleep.com/practicalai">Eight Sleep</a> – <strong>Take your sleep and recovery to the next level.</strong> Go to <a href="https://www.eightsleep.com/practicalai/">eightsleep.com/PRACTICALAI</a> and use the code PRACTICALAI to get $350 off your very own Pod 4 Ultra. You can try it for free for 30 days - but we’re confident you will not want to return it. Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. </li></ul><p>Featuring:</p><ul><li>Gregory Richardson – <a href="https://www.linkedin.com/in/gregorypkrichardson">LinkedIn</a></li><li>Ismael Valenzuela – <a href="https://github.com/aboutsecurity">GitHub</a>, <a href="https://www.linkedin.com/in/ivalenzuela">LinkedIn</a>, <a href="https://x.com/aboutsecurity">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://blogs.blackberry.com/en/2024/03/ai-in-cybersecurity-attackers-defenders">The AI Standoff: Attackers vs. Defenders | Blackberry Blog</a></li><li><a href="https://www.blackberry.com">Blackberry</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/grrichardson" img="https://img.transistorcdn.com/gcXW1HAbm35et7e0-tj9tsbnnu-fmBn3JJrBQJQCNwE/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82MDIx/MDJhZGYzNDM5Yzc4/ZDgxZDUzNzUzNDAx/MzI1ZS5qcGVn.jpg">Gregory Richardson</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/aboutsecurity" img="https://img.transistorcdn.com/QDCfwDsiPT1119Ljl-zmAOx8XEhk76-0MMYbn0W1JgI/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yMDRk/ZGYzYTNjY2UyYWJi/N2Y3Mzk1YzJlMzY1/ODNjMy5qcGVn.jpg">Ismael Valenzuela</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
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    </item>
    <item>
      <title>The path towards trustworthy AI</title>
      <itunes:episode>293</itunes:episode>
      <podcast:episode>293</podcast:episode>
      <itunes:title>The path towards trustworthy AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2597</guid>
      <link>https://share.transistor.fm/s/38a4b5e2</link>
      <description>
        <![CDATA[<p>Elham Tabassi, the Chief AI Advisor at the U.S. National Institute of Standards &amp; Technology (NIST), joins Chris for an enlightening discussion about the path towards trustworthy AI. Together they explore NIST’s ‘AI Risk Management Framework’ (AI RMF) within the context of the White House’s ‘Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence’.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.timescale.com">Timescale</a> – Real-time analytics on Postgres, seriously fast. Over 3 million Timescale databases power loT, sensors, Al, dev tools, crypto, and finance apps — all on Postgres. Postgres, for everything. </li><li><a href="https://retool.com/changelog">Retool</a> – <strong>The low-code platform for developers to build internal tools</strong> — Some of the best teams out there trust Retool…Brex, Coinbase, Plaid, Doordash, LegalGenius, Amazon, Allbirds, Peloton, and so many more – the developers at these teams trust Retool as the platform to build their internal tools. Try it free at <a href="https://retool.com/changelog">retool.com/changelog</a></li><li><a href="https://joindeleteme.com">DeleteMe</a> – DeleteMe makes it quick, easy and safe to remove your personal data online. </li></ul><p>Featuring:</p><ul><li>Elham Tabassi – <a href="https://en.wikipedia.org/wiki/Elham_Tabassi">Website</a>, <a href="https://www.linkedin.com/in/elham-tabassi-b5931b6">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.nist.gov/people/elham-tabassi">Elham Tabassi | NIST</a></li><li><a href="https://time.com/collection/time100-ai/6310638/elham-tabassi">Elham Tabassi | TIME 100 / AI</a></li><li><a href="https://airc.nist.gov">NIST Trustworthy &amp; Responsible AI Resource Center</a></li><li><a href="https://www.nist.gov/itl/ai-risk-management-framework">NIST AI Risk Management Framework (AI RMF)</a></li><li><a href="https://nvlpubs.nist.gov/nistpubs/ai/nist.ai.100-1.pdf">NIST Artificial Intelligence Risk Management Framework (AI RMF 1.0) (PDF)</a></li><li><a href="https://www.nist.gov/itl/ai-risk-management-framework/nist-ai-rmf-playbook">NIST AI RMF Playbook</a></li><li><a href="https://www.nist.gov/itl/ai-risk-management-framework/ai-rmf-development">NIST AI RMF Development</a></li><li><a href="https://www.nist.gov/itl/ai-risk-management-framework/ai-risk-management-framework-engage">NIST AI Risk Management Framework - Engage</a></li><li><a href="https://www.nist.gov/news-events/news/2023/01/nist-risk-management-framework-aims-improve-trustworthiness-artificial">NIST Risk Management Framework Aims to Improve Trustworthiness of Artificial Intelligence</a></li><li><a href="https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence">White House Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Elham Tabassi, the Chief AI Advisor at the U.S. National Institute of Standards &amp; Technology (NIST), joins Chris for an enlightening discussion about the path towards trustworthy AI. Together they explore NIST’s ‘AI Risk Management Framework’ (AI RMF) within the context of the White House’s ‘Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence’.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.timescale.com">Timescale</a> – Real-time analytics on Postgres, seriously fast. Over 3 million Timescale databases power loT, sensors, Al, dev tools, crypto, and finance apps — all on Postgres. Postgres, for everything. </li><li><a href="https://retool.com/changelog">Retool</a> – <strong>The low-code platform for developers to build internal tools</strong> — Some of the best teams out there trust Retool…Brex, Coinbase, Plaid, Doordash, LegalGenius, Amazon, Allbirds, Peloton, and so many more – the developers at these teams trust Retool as the platform to build their internal tools. Try it free at <a href="https://retool.com/changelog">retool.com/changelog</a></li><li><a href="https://joindeleteme.com">DeleteMe</a> – DeleteMe makes it quick, easy and safe to remove your personal data online. </li></ul><p>Featuring:</p><ul><li>Elham Tabassi – <a href="https://en.wikipedia.org/wiki/Elham_Tabassi">Website</a>, <a href="https://www.linkedin.com/in/elham-tabassi-b5931b6">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.nist.gov/people/elham-tabassi">Elham Tabassi | NIST</a></li><li><a href="https://time.com/collection/time100-ai/6310638/elham-tabassi">Elham Tabassi | TIME 100 / AI</a></li><li><a href="https://airc.nist.gov">NIST Trustworthy &amp; Responsible AI Resource Center</a></li><li><a href="https://www.nist.gov/itl/ai-risk-management-framework">NIST AI Risk Management Framework (AI RMF)</a></li><li><a href="https://nvlpubs.nist.gov/nistpubs/ai/nist.ai.100-1.pdf">NIST Artificial Intelligence Risk Management Framework (AI RMF 1.0) (PDF)</a></li><li><a href="https://www.nist.gov/itl/ai-risk-management-framework/nist-ai-rmf-playbook">NIST AI RMF Playbook</a></li><li><a href="https://www.nist.gov/itl/ai-risk-management-framework/ai-rmf-development">NIST AI RMF Development</a></li><li><a href="https://www.nist.gov/itl/ai-risk-management-framework/ai-risk-management-framework-engage">NIST AI Risk Management Framework - Engage</a></li><li><a href="https://www.nist.gov/news-events/news/2023/01/nist-risk-management-framework-aims-improve-trustworthiness-artificial">NIST Risk Management Framework Aims to Improve Trustworthiness of Artificial Intelligence</a></li><li><a href="https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence">White House Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 29 Oct 2024 15:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/38a4b5e2/1f9afbec.mp3" length="49895800" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3104</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Elham Tabassi, the Chief AI Advisor at the U.S. National Institute of Standards &amp; Technology (NIST), joins Chris for an enlightening discussion about the path towards trustworthy AI. Together they explore NIST’s ‘AI Risk Management Framework’ (AI RMF) within the context of the White House’s ‘Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence’.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.timescale.com">Timescale</a> – Real-time analytics on Postgres, seriously fast. Over 3 million Timescale databases power loT, sensors, Al, dev tools, crypto, and finance apps — all on Postgres. Postgres, for everything. </li><li><a href="https://retool.com/changelog">Retool</a> – <strong>The low-code platform for developers to build internal tools</strong> — Some of the best teams out there trust Retool…Brex, Coinbase, Plaid, Doordash, LegalGenius, Amazon, Allbirds, Peloton, and so many more – the developers at these teams trust Retool as the platform to build their internal tools. Try it free at <a href="https://retool.com/changelog">retool.com/changelog</a></li><li><a href="https://joindeleteme.com">DeleteMe</a> – DeleteMe makes it quick, easy and safe to remove your personal data online. </li></ul><p>Featuring:</p><ul><li>Elham Tabassi – <a href="https://en.wikipedia.org/wiki/Elham_Tabassi">Website</a>, <a href="https://www.linkedin.com/in/elham-tabassi-b5931b6">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.nist.gov/people/elham-tabassi">Elham Tabassi | NIST</a></li><li><a href="https://time.com/collection/time100-ai/6310638/elham-tabassi">Elham Tabassi | TIME 100 / AI</a></li><li><a href="https://airc.nist.gov">NIST Trustworthy &amp; Responsible AI Resource Center</a></li><li><a href="https://www.nist.gov/itl/ai-risk-management-framework">NIST AI Risk Management Framework (AI RMF)</a></li><li><a href="https://nvlpubs.nist.gov/nistpubs/ai/nist.ai.100-1.pdf">NIST Artificial Intelligence Risk Management Framework (AI RMF 1.0) (PDF)</a></li><li><a href="https://www.nist.gov/itl/ai-risk-management-framework/nist-ai-rmf-playbook">NIST AI RMF Playbook</a></li><li><a href="https://www.nist.gov/itl/ai-risk-management-framework/ai-rmf-development">NIST AI RMF Development</a></li><li><a href="https://www.nist.gov/itl/ai-risk-management-framework/ai-risk-management-framework-engage">NIST AI Risk Management Framework - Engage</a></li><li><a href="https://www.nist.gov/news-events/news/2023/01/nist-risk-management-framework-aims-improve-trustworthiness-artificial">NIST Risk Management Framework Aims to Improve Trustworthiness of Artificial Intelligence</a></li><li><a href="https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence">White House Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/elham-tabassi" img="https://img.transistorcdn.com/OuqRQUDQovRcNDPTe7A1JtBakVAmh8nCXjHUqmUOzfg/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82Yjg0/YWYzYjI4NTM1ZDk3/MjM3YTMxMTZjYzlj/ZTViZi5qcGVn.jpg">Elham Tabassi</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/38a4b5e2/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Big data is dead, analytics is alive</title>
      <itunes:episode>292</itunes:episode>
      <podcast:episode>292</podcast:episode>
      <itunes:title>Big data is dead, analytics is alive</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2598</guid>
      <link>https://share.transistor.fm/s/a1eb867f</link>
      <description>
        <![CDATA[<p>We are on the other side of “big data” hype, but what is the future of analytics and how does AI fit in? Till and Adithya from MotherDuck join us to discuss why DuckDB is taking the analytics and AI world by storm. We dive into what makes DuckDB, a free, in-process SQL OLAP database management system, unique including its ability to execute lighting fast analytics queries against a variety of data sources, even on your laptop! Along the way we dig into the intersections with AI, such as text-to-sql, vector search, and AI-driven SQL query correction.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://www.timescale.com">Timescale</a> – Real-time analytics on Postgres, seriously fast. Over 3 million Timescale databases power loT, sensors, Al, dev tools, crypto, and finance apps — all on Postgres. Postgres, for everything. </li><li><a href="http://notion.com/practicalai">Notion</a> – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. </li></ul><p>Featuring:</p><ul><li>Till Döhmen – <a href="https://tdoehmen.github.io">Website</a>, <a href="https://github.com/tdoehmen">GitHub</a>, <a href="https://www.linkedin.com/in/tdoehmen">LinkedIn</a>, <a href="https://x.com/tdoehmen">X</a></li><li>Adithya Krishnan – <a href="https://krishadi.com">Website</a>, <a href="https://github.com/krish-adi">GitHub</a>, <a href="https://www.linkedin.com/in/adithyakrishnan">LinkedIn</a>, <a href="https://x.com/krish_adi_">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://duckdb.org/">DuckDB</a></li><li><a href="https://motherduck.com/">MotherDuck</a></li><li><a href="https://motherduck.com/blog/introducing-fixit-ai-sql-error-fixer/">Introducing FixIt: an unreasonably effective AI error fixer for SQL</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We are on the other side of “big data” hype, but what is the future of analytics and how does AI fit in? Till and Adithya from MotherDuck join us to discuss why DuckDB is taking the analytics and AI world by storm. We dive into what makes DuckDB, a free, in-process SQL OLAP database management system, unique including its ability to execute lighting fast analytics queries against a variety of data sources, even on your laptop! Along the way we dig into the intersections with AI, such as text-to-sql, vector search, and AI-driven SQL query correction.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://www.timescale.com">Timescale</a> – Real-time analytics on Postgres, seriously fast. Over 3 million Timescale databases power loT, sensors, Al, dev tools, crypto, and finance apps — all on Postgres. Postgres, for everything. </li><li><a href="http://notion.com/practicalai">Notion</a> – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. </li></ul><p>Featuring:</p><ul><li>Till Döhmen – <a href="https://tdoehmen.github.io">Website</a>, <a href="https://github.com/tdoehmen">GitHub</a>, <a href="https://www.linkedin.com/in/tdoehmen">LinkedIn</a>, <a href="https://x.com/tdoehmen">X</a></li><li>Adithya Krishnan – <a href="https://krishadi.com">Website</a>, <a href="https://github.com/krish-adi">GitHub</a>, <a href="https://www.linkedin.com/in/adithyakrishnan">LinkedIn</a>, <a href="https://x.com/krish_adi_">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://duckdb.org/">DuckDB</a></li><li><a href="https://motherduck.com/">MotherDuck</a></li><li><a href="https://motherduck.com/blog/introducing-fixit-ai-sql-error-fixer/">Introducing FixIt: an unreasonably effective AI error fixer for SQL</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Thu, 24 Oct 2024 11:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/a1eb867f/eb5e5a5b.mp3" length="48537140" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3019</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We are on the other side of “big data” hype, but what is the future of analytics and how does AI fit in? Till and Adithya from MotherDuck join us to discuss why DuckDB is taking the analytics and AI world by storm. We dive into what makes DuckDB, a free, in-process SQL OLAP database management system, unique including its ability to execute lighting fast analytics queries against a variety of data sources, even on your laptop! Along the way we dig into the intersections with AI, such as text-to-sql, vector search, and AI-driven SQL query correction.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://www.timescale.com">Timescale</a> – Real-time analytics on Postgres, seriously fast. Over 3 million Timescale databases power loT, sensors, Al, dev tools, crypto, and finance apps — all on Postgres. Postgres, for everything. </li><li><a href="http://notion.com/practicalai">Notion</a> – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. </li></ul><p>Featuring:</p><ul><li>Till Döhmen – <a href="https://tdoehmen.github.io">Website</a>, <a href="https://github.com/tdoehmen">GitHub</a>, <a href="https://www.linkedin.com/in/tdoehmen">LinkedIn</a>, <a href="https://x.com/tdoehmen">X</a></li><li>Adithya Krishnan – <a href="https://krishadi.com">Website</a>, <a href="https://github.com/krish-adi">GitHub</a>, <a href="https://www.linkedin.com/in/adithyakrishnan">LinkedIn</a>, <a href="https://x.com/krish_adi_">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://duckdb.org/">DuckDB</a></li><li><a href="https://motherduck.com/">MotherDuck</a></li><li><a href="https://motherduck.com/blog/introducing-fixit-ai-sql-error-fixer/">Introducing FixIt: an unreasonably effective AI error fixer for SQL</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/tdoehmen" img="https://img.transistorcdn.com/7sh2F8YEmXHIRVzJLYOxs6ydAb0rhH0wvPJ16AWnu2M/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82NmY3/NWM2OGQ0OGY5ZWU3/ZDA5ODExNWE1ZWUx/OGUxMi5qcGc.jpg">Till Döhmen</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/krish-adi" img="https://img.transistorcdn.com/OybYdjxUMw8eTpYWqPwM3A5S0kEzLcRaEc3C6IssO_g/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84NDIz/MjRmZmU3YTRlMGIy/YTMyMTYzNTAxOWJk/NmNiYi5qcGc.jpg">Adithya Krishnan</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/a1eb867f/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Practical workflow orchestration</title>
      <itunes:episode>291</itunes:episode>
      <podcast:episode>291</podcast:episode>
      <itunes:title>Practical workflow orchestration</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2586</guid>
      <link>https://share.transistor.fm/s/483a51a6</link>
      <description>
        <![CDATA[<p>Workflow orchestration has always been a pain for data scientists, but this is exacerbated in these AI hype days by agentic workflows executing arbitrary (not pre-defined) workflows with a variety of failure modes. Adam from Prefect joins us to talk through their open source Python library for orchestration and visibility into python-based pipelines. Along the way, he introduces us to things like Marvin, their AI engineering framework, and ControlFlow, their agent workflow system.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://workos.com">WorkOS</a> – <strong>A platform that gives developers a set of building blocks for quickly adding enterprise-ready features</strong> to their application. Add Single Sign-On (Okta, Azure, Google, Microsoft OAuth), sync users from any SCIM directory, HRIS integration, audit trails (SIEM), free magic link sign-in. WorkOS is designed for developers and offers a single, elegant interface that abstracts dozens of enterprise integrations. Learn more and get started at <a href="https://workos.com/">WorkOS.com</a></li><li><a href="https://www.shopify.com/practicalai">Shopify</a> – Sign up for a $1/month trial period at <a href="https://www.shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="http://notion.com/practicalai">Notion</a> – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. </li></ul><p>Featuring:</p><ul><li>Adam Azzam – <a href="https://www.linkedin.com/in/adam-azzam">LinkedIn</a>, <a href="https://x.com/AAAzzam">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.prefect.io/">Prefect</a></li><li><a href="https://www.prefect.io/marvin">Marvin</a></li><li><a href="https://www.prefect.io/controlflow">ControlFlow</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Workflow orchestration has always been a pain for data scientists, but this is exacerbated in these AI hype days by agentic workflows executing arbitrary (not pre-defined) workflows with a variety of failure modes. Adam from Prefect joins us to talk through their open source Python library for orchestration and visibility into python-based pipelines. Along the way, he introduces us to things like Marvin, their AI engineering framework, and ControlFlow, their agent workflow system.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://workos.com">WorkOS</a> – <strong>A platform that gives developers a set of building blocks for quickly adding enterprise-ready features</strong> to their application. Add Single Sign-On (Okta, Azure, Google, Microsoft OAuth), sync users from any SCIM directory, HRIS integration, audit trails (SIEM), free magic link sign-in. WorkOS is designed for developers and offers a single, elegant interface that abstracts dozens of enterprise integrations. Learn more and get started at <a href="https://workos.com/">WorkOS.com</a></li><li><a href="https://www.shopify.com/practicalai">Shopify</a> – Sign up for a $1/month trial period at <a href="https://www.shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="http://notion.com/practicalai">Notion</a> – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. </li></ul><p>Featuring:</p><ul><li>Adam Azzam – <a href="https://www.linkedin.com/in/adam-azzam">LinkedIn</a>, <a href="https://x.com/AAAzzam">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.prefect.io/">Prefect</a></li><li><a href="https://www.prefect.io/marvin">Marvin</a></li><li><a href="https://www.prefect.io/controlflow">ControlFlow</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 15 Oct 2024 16:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/483a51a6/7ddedbe9.mp3" length="56306885" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3504</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Workflow orchestration has always been a pain for data scientists, but this is exacerbated in these AI hype days by agentic workflows executing arbitrary (not pre-defined) workflows with a variety of failure modes. Adam from Prefect joins us to talk through their open source Python library for orchestration and visibility into python-based pipelines. Along the way, he introduces us to things like Marvin, their AI engineering framework, and ControlFlow, their agent workflow system.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://workos.com">WorkOS</a> – <strong>A platform that gives developers a set of building blocks for quickly adding enterprise-ready features</strong> to their application. Add Single Sign-On (Okta, Azure, Google, Microsoft OAuth), sync users from any SCIM directory, HRIS integration, audit trails (SIEM), free magic link sign-in. WorkOS is designed for developers and offers a single, elegant interface that abstracts dozens of enterprise integrations. Learn more and get started at <a href="https://workos.com/">WorkOS.com</a></li><li><a href="https://www.shopify.com/practicalai">Shopify</a> – Sign up for a $1/month trial period at <a href="https://www.shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="http://notion.com/practicalai">Notion</a> – Notion is a place where any team can write, plan, organize, and rediscover the joy of play. It’s a workspace designed not just for making progress, but getting inspired. Notion is for everyone — whether you’re a Fortune 500 company or freelance designer, starting a new startup or a student juggling classes and clubs. </li></ul><p>Featuring:</p><ul><li>Adam Azzam – <a href="https://www.linkedin.com/in/adam-azzam">LinkedIn</a>, <a href="https://x.com/AAAzzam">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.prefect.io/">Prefect</a></li><li><a href="https://www.prefect.io/marvin">Marvin</a></li><li><a href="https://www.prefect.io/controlflow">ControlFlow</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/adam-azzam" img="https://img.transistorcdn.com/1J9_hoXDSExHrI7uJT1xeDeVTRtGG-4Gq6H4dGrzlgo/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jN2Y4/OTEyZjdhNWZkMGQ1/NWNiODY1ZjhmZDY5/NDFlMi5qcGc.jpg">Adam Azzam</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/483a51a6/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Towards high-quality (maybe synthetic) datasets</title>
      <itunes:episode>290</itunes:episode>
      <podcast:episode>290</podcast:episode>
      <itunes:title>Towards high-quality (maybe synthetic) datasets</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2579</guid>
      <link>https://share.transistor.fm/s/af180c44</link>
      <description>
        <![CDATA[<p>As Argilla puts it: “Data quality is what makes or breaks AI.” However, what exactly does this mean and how can AI team probably collaborate with domain experts towards improved data quality? David Berenstein &amp; Ben Burtenshaw, who are building Argilla &amp; Distilabel at Hugging Face, join us to dig into these topics along with synthetic data generation &amp; AI-generated labeling / feedback.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://workos.com">WorkOS</a> – <strong>A platform that gives developers a set of building blocks for quickly adding enterprise-ready features</strong> to their application. Add Single Sign-On (Okta, Azure, Google, Microsoft OAuth), sync users from any SCIM directory, HRIS integration, audit trails (SIEM), free magic link sign-in. WorkOS is designed for developers and offers a single, elegant interface that abstracts dozens of enterprise integrations. Learn more and get started at <a href="https://workos.com/">WorkOS.com</a></li><li><a href="https://www.eightsleep.com/practicalai">Eight Sleep</a> – <strong>Take your sleep and recovery to the next level.</strong> Go to <a href="https://www.eightsleep.com/practicalai/">eightsleep.com/PRACTICALAI</a> and use the code PRACTICALAI to get $350 off your very own Pod 4 Ultra. You can try it for free for 30 days - but we’re confident you will not want to return it. Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. </li></ul><p>Featuring:</p><ul><li>Ben Burtenshaw – <a href="https://github.com/burtenshaw">GitHub</a>, <a href="https://www.linkedin.com/in/ben-burtenshaw">LinkedIn</a>, <a href="https://x.com/ben_burtenshaw">X</a></li><li>David Berenstein – <a href="https://github.com/davidberenstein1957">GitHub</a>, <a href="https://www.linkedin.com/in/davidberenstein">LinkedIn</a>, <a href="https://x.com/davidberenstei">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://docs.argilla.io/latest/">Argilla</a></li><li><a href="https://distilabel.argilla.io/latest/">Distilabel</a></li><li><a href="https://huggingface.co/spaces/argilla/synthetic-data-generator">Synthetic Data Generator UI</a></li><li><a href="https://lu.ma/argilla-event-calendar">Hugging Face and Argilla meetups</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>As Argilla puts it: “Data quality is what makes or breaks AI.” However, what exactly does this mean and how can AI team probably collaborate with domain experts towards improved data quality? David Berenstein &amp; Ben Burtenshaw, who are building Argilla &amp; Distilabel at Hugging Face, join us to dig into these topics along with synthetic data generation &amp; AI-generated labeling / feedback.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://workos.com">WorkOS</a> – <strong>A platform that gives developers a set of building blocks for quickly adding enterprise-ready features</strong> to their application. Add Single Sign-On (Okta, Azure, Google, Microsoft OAuth), sync users from any SCIM directory, HRIS integration, audit trails (SIEM), free magic link sign-in. WorkOS is designed for developers and offers a single, elegant interface that abstracts dozens of enterprise integrations. Learn more and get started at <a href="https://workos.com/">WorkOS.com</a></li><li><a href="https://www.eightsleep.com/practicalai">Eight Sleep</a> – <strong>Take your sleep and recovery to the next level.</strong> Go to <a href="https://www.eightsleep.com/practicalai/">eightsleep.com/PRACTICALAI</a> and use the code PRACTICALAI to get $350 off your very own Pod 4 Ultra. You can try it for free for 30 days - but we’re confident you will not want to return it. Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. </li></ul><p>Featuring:</p><ul><li>Ben Burtenshaw – <a href="https://github.com/burtenshaw">GitHub</a>, <a href="https://www.linkedin.com/in/ben-burtenshaw">LinkedIn</a>, <a href="https://x.com/ben_burtenshaw">X</a></li><li>David Berenstein – <a href="https://github.com/davidberenstein1957">GitHub</a>, <a href="https://www.linkedin.com/in/davidberenstein">LinkedIn</a>, <a href="https://x.com/davidberenstei">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://docs.argilla.io/latest/">Argilla</a></li><li><a href="https://distilabel.argilla.io/latest/">Distilabel</a></li><li><a href="https://huggingface.co/spaces/argilla/synthetic-data-generator">Synthetic Data Generator UI</a></li><li><a href="https://lu.ma/argilla-event-calendar">Hugging Face and Argilla meetups</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 09 Oct 2024 09:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/af180c44/952ea310.mp3" length="54994320" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3422</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>As Argilla puts it: “Data quality is what makes or breaks AI.” However, what exactly does this mean and how can AI team probably collaborate with domain experts towards improved data quality? David Berenstein &amp; Ben Burtenshaw, who are building Argilla &amp; Distilabel at Hugging Face, join us to dig into these topics along with synthetic data generation &amp; AI-generated labeling / feedback.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://workos.com">WorkOS</a> – <strong>A platform that gives developers a set of building blocks for quickly adding enterprise-ready features</strong> to their application. Add Single Sign-On (Okta, Azure, Google, Microsoft OAuth), sync users from any SCIM directory, HRIS integration, audit trails (SIEM), free magic link sign-in. WorkOS is designed for developers and offers a single, elegant interface that abstracts dozens of enterprise integrations. Learn more and get started at <a href="https://workos.com/">WorkOS.com</a></li><li><a href="https://www.eightsleep.com/practicalai">Eight Sleep</a> – <strong>Take your sleep and recovery to the next level.</strong> Go to <a href="https://www.eightsleep.com/practicalai/">eightsleep.com/PRACTICALAI</a> and use the code PRACTICALAI to get $350 off your very own Pod 4 Ultra. You can try it for free for 30 days - but we’re confident you will not want to return it. Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. </li></ul><p>Featuring:</p><ul><li>Ben Burtenshaw – <a href="https://github.com/burtenshaw">GitHub</a>, <a href="https://www.linkedin.com/in/ben-burtenshaw">LinkedIn</a>, <a href="https://x.com/ben_burtenshaw">X</a></li><li>David Berenstein – <a href="https://github.com/davidberenstein1957">GitHub</a>, <a href="https://www.linkedin.com/in/davidberenstein">LinkedIn</a>, <a href="https://x.com/davidberenstei">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://docs.argilla.io/latest/">Argilla</a></li><li><a href="https://distilabel.argilla.io/latest/">Distilabel</a></li><li><a href="https://huggingface.co/spaces/argilla/synthetic-data-generator">Synthetic Data Generator UI</a></li><li><a href="https://lu.ma/argilla-event-calendar">Hugging Face and Argilla meetups</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/burtenshaw" img="https://img.transistorcdn.com/oyvSkK07oeGDYEJ1SuvNXqmEyee2tlLSrkNitYoVDAA/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jYmZl/ZWFhYzIyMWM0OTIy/ZDRhNjZiYjI0ZmVi/YTQzYy5qcGVn.jpg">Ben Burtenshaw</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/davidberenstein" img="https://img.transistorcdn.com/xQtVgOrh4y_5XEuyDFbuG7TGww58zB8Rf9-eL0rJy94/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jN2Qy/NmVhYjEyNGJjZGM4/MWZmYmY0NDI5ODgw/YTlhOC5qcGVn.jpg">David Berenstein</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/af180c44/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Understanding what's possible, doable &amp; scalable</title>
      <itunes:episode>289</itunes:episode>
      <podcast:episode>289</podcast:episode>
      <itunes:title>Understanding what's possible, doable &amp; scalable</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2576</guid>
      <link>https://share.transistor.fm/s/aee0a4a0</link>
      <description>
        <![CDATA[<p>We are constantly hearing about disillusionment as it relates to AI. Some of that is probably valid, but Mike Lewis, an AI architect from Cincinnati, has proven that he can consistently get LLM and GenAI apps to the point of real enterprise value (even with the Big Cos of the world). In this episode, Mike joins us to share some stories from the AI trenches &amp; highlight what it takes (practically) to show what is possible, doable &amp; scalable with AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://workos.com">WorkOS</a> – <strong>A platform that gives developers a set of building blocks for quickly adding enterprise-ready features</strong> to their application. Add Single Sign-On (Okta, Azure, Google, Microsoft OAuth), sync users from any SCIM directory, HRIS integration, audit trails (SIEM), free magic link sign-in. WorkOS is designed for developers and offers a single, elegant interface that abstracts dozens of enterprise integrations. Learn more and get started at <a href="https://workos.com/">WorkOS.com</a></li><li><a href="https://www.eightsleep.com/practicalai">Eight Sleep</a> – <strong>Take your sleep and recovery to the next level.</strong> Go to <a href="https://www.eightsleep.com/practicalai/">eightsleep.com/PRACTICALAI</a> and use the code PRACTICALAI to get $350 off your very own Pod 4 Ultra. You can try it for free for 30 days - but we’re confident you will not want to return it. Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. </li></ul><p>Featuring:</p><ul><li>Mike Lewis – <a href="https://www.linkedin.com/in/mikelewis76">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://synthoni.ai/">Synthoni</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We are constantly hearing about disillusionment as it relates to AI. Some of that is probably valid, but Mike Lewis, an AI architect from Cincinnati, has proven that he can consistently get LLM and GenAI apps to the point of real enterprise value (even with the Big Cos of the world). In this episode, Mike joins us to share some stories from the AI trenches &amp; highlight what it takes (practically) to show what is possible, doable &amp; scalable with AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://workos.com">WorkOS</a> – <strong>A platform that gives developers a set of building blocks for quickly adding enterprise-ready features</strong> to their application. Add Single Sign-On (Okta, Azure, Google, Microsoft OAuth), sync users from any SCIM directory, HRIS integration, audit trails (SIEM), free magic link sign-in. WorkOS is designed for developers and offers a single, elegant interface that abstracts dozens of enterprise integrations. Learn more and get started at <a href="https://workos.com/">WorkOS.com</a></li><li><a href="https://www.eightsleep.com/practicalai">Eight Sleep</a> – <strong>Take your sleep and recovery to the next level.</strong> Go to <a href="https://www.eightsleep.com/practicalai/">eightsleep.com/PRACTICALAI</a> and use the code PRACTICALAI to get $350 off your very own Pod 4 Ultra. You can try it for free for 30 days - but we’re confident you will not want to return it. Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. </li></ul><p>Featuring:</p><ul><li>Mike Lewis – <a href="https://www.linkedin.com/in/mikelewis76">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://synthoni.ai/">Synthoni</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Thu, 03 Oct 2024 11:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/aee0a4a0/abeadb91.mp3" length="60095524" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3741</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We are constantly hearing about disillusionment as it relates to AI. Some of that is probably valid, but Mike Lewis, an AI architect from Cincinnati, has proven that he can consistently get LLM and GenAI apps to the point of real enterprise value (even with the Big Cos of the world). In this episode, Mike joins us to share some stories from the AI trenches &amp; highlight what it takes (practically) to show what is possible, doable &amp; scalable with AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://workos.com">WorkOS</a> – <strong>A platform that gives developers a set of building blocks for quickly adding enterprise-ready features</strong> to their application. Add Single Sign-On (Okta, Azure, Google, Microsoft OAuth), sync users from any SCIM directory, HRIS integration, audit trails (SIEM), free magic link sign-in. WorkOS is designed for developers and offers a single, elegant interface that abstracts dozens of enterprise integrations. Learn more and get started at <a href="https://workos.com/">WorkOS.com</a></li><li><a href="https://www.eightsleep.com/practicalai">Eight Sleep</a> – <strong>Take your sleep and recovery to the next level.</strong> Go to <a href="https://www.eightsleep.com/practicalai/">eightsleep.com/PRACTICALAI</a> and use the code PRACTICALAI to get $350 off your very own Pod 4 Ultra. You can try it for free for 30 days - but we’re confident you will not want to return it. Once you experience AI-optimized sleep, you’ll wonder how you ever slept without it. Currently shipping to: United States, Canada, United Kingdom, Europe, and Australia. </li></ul><p>Featuring:</p><ul><li>Mike Lewis – <a href="https://www.linkedin.com/in/mikelewis76">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://synthoni.ai/">Synthoni</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/mikelewis" img="https://img.transistorcdn.com/wIebEFKkjTmOrMcc2kVj91oFojTi8q4N77ao_7epgGI/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9iZDI2/MDI0ZGU1MmZiYTM2/OTQ1OWJjY2IzY2Y5/MzFkMi5qcGVn.jpg">Mike Lewis</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/aee0a4a0/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>GraphRAG (beyond the hype)</title>
      <itunes:episode>288</itunes:episode>
      <podcast:episode>288</podcast:episode>
      <itunes:title>GraphRAG (beyond the hype)</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2570</guid>
      <link>https://share.transistor.fm/s/d2299d84</link>
      <description>
        <![CDATA[<p>Seems like we are hearing a lot about GraphRAG these days, but there are lots of questions: what is it, is it hype, what is practical? One of our all time favorite podcast friends, Prashanth Rao, joins us to dig into this topic beyond the hype. Prashanth gives us a bit of background and practical use cases for GraphRAG and graph data.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://www.assemblyai.com/?utm_source=changelog&amp;utm_medium=podcast">Assembly AI</a> – Turn voice data into summaries with AssemblyAI’s leading Speech AI models. Built by AI experts, their Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more. </li><li><a href="https://speakeasy.com/">Speakeasy</a> – <strong>Production-ready, enterprise-resilient, best-in-class SDKs</strong> crafted in minutes. Speakeasy takes care of the entire SDK workflow to save you significant time, delivering SDKs to your customers in minutes with just a few clicks! <a href="https://speakeasy.com/">Create your first SDK for free!</a></li></ul><p>Featuring:</p><ul><li>Prashanth Rao – <a href="https://thedataquarry.com">Website</a>, <a href="https://github.com/prrao87">GitHub</a>, <a href="https://www.linkedin.com/in/prrao87">LinkedIn</a>, <a href="https://x.com/tech_optimist">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>Kùzu: A highly scalable, extremely fast, easy-to-use embeddable, open source graph database: <a href="https://github.com/kuzudb/kuzu">GitHub repo</a></li><li>The goals and vision of Kùzu: <a href="https://blog.kuzudb.com/post/what-every-gdbms-should-do-and-vision/">Blog post</a></li><li>Kùzu <a href="https://www.youtube.com/@KuzuDB">YouTube channel</a></li><li>Graph RAG strategies with Kùzu: <a href="https://github.com/kuzudb/graph-rag">GitHub repo</a></li><li>Prashanth Rao’s blog: <a href="https://thedataquarry.com">thedataquarry.com</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Seems like we are hearing a lot about GraphRAG these days, but there are lots of questions: what is it, is it hype, what is practical? One of our all time favorite podcast friends, Prashanth Rao, joins us to dig into this topic beyond the hype. Prashanth gives us a bit of background and practical use cases for GraphRAG and graph data.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://www.assemblyai.com/?utm_source=changelog&amp;utm_medium=podcast">Assembly AI</a> – Turn voice data into summaries with AssemblyAI’s leading Speech AI models. Built by AI experts, their Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more. </li><li><a href="https://speakeasy.com/">Speakeasy</a> – <strong>Production-ready, enterprise-resilient, best-in-class SDKs</strong> crafted in minutes. Speakeasy takes care of the entire SDK workflow to save you significant time, delivering SDKs to your customers in minutes with just a few clicks! <a href="https://speakeasy.com/">Create your first SDK for free!</a></li></ul><p>Featuring:</p><ul><li>Prashanth Rao – <a href="https://thedataquarry.com">Website</a>, <a href="https://github.com/prrao87">GitHub</a>, <a href="https://www.linkedin.com/in/prrao87">LinkedIn</a>, <a href="https://x.com/tech_optimist">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>Kùzu: A highly scalable, extremely fast, easy-to-use embeddable, open source graph database: <a href="https://github.com/kuzudb/kuzu">GitHub repo</a></li><li>The goals and vision of Kùzu: <a href="https://blog.kuzudb.com/post/what-every-gdbms-should-do-and-vision/">Blog post</a></li><li>Kùzu <a href="https://www.youtube.com/@KuzuDB">YouTube channel</a></li><li>Graph RAG strategies with Kùzu: <a href="https://github.com/kuzudb/graph-rag">GitHub repo</a></li><li>Prashanth Rao’s blog: <a href="https://thedataquarry.com">thedataquarry.com</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 25 Sep 2024 14:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/d2299d84/fcae2902.mp3" length="53073428" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3302</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Seems like we are hearing a lot about GraphRAG these days, but there are lots of questions: what is it, is it hype, what is practical? One of our all time favorite podcast friends, Prashanth Rao, joins us to dig into this topic beyond the hype. Prashanth gives us a bit of background and practical use cases for GraphRAG and graph data.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://www.assemblyai.com/?utm_source=changelog&amp;utm_medium=podcast">Assembly AI</a> – Turn voice data into summaries with AssemblyAI’s leading Speech AI models. Built by AI experts, their Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more. </li><li><a href="https://speakeasy.com/">Speakeasy</a> – <strong>Production-ready, enterprise-resilient, best-in-class SDKs</strong> crafted in minutes. Speakeasy takes care of the entire SDK workflow to save you significant time, delivering SDKs to your customers in minutes with just a few clicks! <a href="https://speakeasy.com/">Create your first SDK for free!</a></li></ul><p>Featuring:</p><ul><li>Prashanth Rao – <a href="https://thedataquarry.com">Website</a>, <a href="https://github.com/prrao87">GitHub</a>, <a href="https://www.linkedin.com/in/prrao87">LinkedIn</a>, <a href="https://x.com/tech_optimist">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>Kùzu: A highly scalable, extremely fast, easy-to-use embeddable, open source graph database: <a href="https://github.com/kuzudb/kuzu">GitHub repo</a></li><li>The goals and vision of Kùzu: <a href="https://blog.kuzudb.com/post/what-every-gdbms-should-do-and-vision/">Blog post</a></li><li>Kùzu <a href="https://www.youtube.com/@KuzuDB">YouTube channel</a></li><li>Graph RAG strategies with Kùzu: <a href="https://github.com/kuzudb/graph-rag">GitHub repo</a></li><li>Prashanth Rao’s blog: <a href="https://thedataquarry.com">thedataquarry.com</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/prrao87" img="https://img.transistorcdn.com/bdI0249xjllOzN8FnFdfayuxay7iCd8-3OsMt7Mt8Q8/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jYWJh/MDM5N2I2NjcyMzU5/ZjQ1Zjc0NWZkYTAw/YjNkNC5qcGc.jpg">Prashanth Rao</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/d2299d84/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Pausing to think about scikit-learn &amp; OpenAI o1</title>
      <itunes:episode>287</itunes:episode>
      <podcast:episode>287</podcast:episode>
      <itunes:title>Pausing to think about scikit-learn &amp; OpenAI o1</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2565</guid>
      <link>https://share.transistor.fm/s/35fff0ca</link>
      <description>
        <![CDATA[<p>Recently the company stewarding the open source library scikit-learn announced their seed funding. Also, OpenAI released “o1” with new behavior in which it pauses to “think” about complex tasks. Chris and Daniel take some time to do their own thinking about o1 and the contrast to the scikit-learn ecosystem, which has the goal to promote “data science that you own.”</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.assemblyai.com/?utm_source=practicalai&amp;utm_medium=podcast">Assembly AI</a> – Turn voice data into summaries with AssemblyAI’s leading Speech AI models. Built by AI experts, their Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more. </li><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://speakeasy.com/">Speakeasy</a> – <strong>Production-ready, enterprise-resilient, best-in-class SDKs</strong> crafted in minutes. Speakeasy takes care of the entire SDK workflow to save you significant time, delivering SDKs to your customers in minutes with just a few clicks! <a href="https://speakeasy.com/">Create your first SDK for free!</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://papers.probabl.ai/announcing-major-milestone-empowering-the-future-of-data-science">Probabl seed funding announcement</a></li><li><a href="https://openai.com/index/introducing-openai-o1-preview/">OpenAI o1 announcement</a></li><li><a href="https://business.purdue.edu/events/data4good/">Purdue Data4Good competition</a></li><li><a href="https://home.mlops.community/">MLOps Community homepage</a> and <a href="https://go.mlops.community/slack">Slack workspace</a></li><li><a href="https://latent.space/">Latent Space homepage</a> and <a href="https://discord.gg/xJJMRaWCRt">Discord server</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Recently the company stewarding the open source library scikit-learn announced their seed funding. Also, OpenAI released “o1” with new behavior in which it pauses to “think” about complex tasks. Chris and Daniel take some time to do their own thinking about o1 and the contrast to the scikit-learn ecosystem, which has the goal to promote “data science that you own.”</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.assemblyai.com/?utm_source=practicalai&amp;utm_medium=podcast">Assembly AI</a> – Turn voice data into summaries with AssemblyAI’s leading Speech AI models. Built by AI experts, their Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more. </li><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://speakeasy.com/">Speakeasy</a> – <strong>Production-ready, enterprise-resilient, best-in-class SDKs</strong> crafted in minutes. Speakeasy takes care of the entire SDK workflow to save you significant time, delivering SDKs to your customers in minutes with just a few clicks! <a href="https://speakeasy.com/">Create your first SDK for free!</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://papers.probabl.ai/announcing-major-milestone-empowering-the-future-of-data-science">Probabl seed funding announcement</a></li><li><a href="https://openai.com/index/introducing-openai-o1-preview/">OpenAI o1 announcement</a></li><li><a href="https://business.purdue.edu/events/data4good/">Purdue Data4Good competition</a></li><li><a href="https://home.mlops.community/">MLOps Community homepage</a> and <a href="https://go.mlops.community/slack">Slack workspace</a></li><li><a href="https://latent.space/">Latent Space homepage</a> and <a href="https://discord.gg/xJJMRaWCRt">Discord server</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 17 Sep 2024 15:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/35fff0ca/6b8ef8e6.mp3" length="48403666" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3010</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Recently the company stewarding the open source library scikit-learn announced their seed funding. Also, OpenAI released “o1” with new behavior in which it pauses to “think” about complex tasks. Chris and Daniel take some time to do their own thinking about o1 and the contrast to the scikit-learn ecosystem, which has the goal to promote “data science that you own.”</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.assemblyai.com/?utm_source=practicalai&amp;utm_medium=podcast">Assembly AI</a> – Turn voice data into summaries with AssemblyAI’s leading Speech AI models. Built by AI experts, their Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more. </li><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://speakeasy.com/">Speakeasy</a> – <strong>Production-ready, enterprise-resilient, best-in-class SDKs</strong> crafted in minutes. Speakeasy takes care of the entire SDK workflow to save you significant time, delivering SDKs to your customers in minutes with just a few clicks! <a href="https://speakeasy.com/">Create your first SDK for free!</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://papers.probabl.ai/announcing-major-milestone-empowering-the-future-of-data-science">Probabl seed funding announcement</a></li><li><a href="https://openai.com/index/introducing-openai-o1-preview/">OpenAI o1 announcement</a></li><li><a href="https://business.purdue.edu/events/data4good/">Purdue Data4Good competition</a></li><li><a href="https://home.mlops.community/">MLOps Community homepage</a> and <a href="https://go.mlops.community/slack">Slack workspace</a></li><li><a href="https://latent.space/">Latent Space homepage</a> and <a href="https://discord.gg/xJJMRaWCRt">Discord server</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/35fff0ca/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Cybersecurity in the GenAI age</title>
      <itunes:episode>286</itunes:episode>
      <podcast:episode>286</podcast:episode>
      <itunes:title>Cybersecurity in the GenAI age</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2554</guid>
      <link>https://share.transistor.fm/s/47e8830c</link>
      <description>
        <![CDATA[<p>Dinis Cruz drops by to chat about cybersecurity for generative AI and large language models. In addition to discussing The Cyber Boardroom, Dinis also delves into cybersecurity efforts at OWASP and that organization’s Top 10 for LLMs and Generative AI Apps.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://speakeasy.com/">Speakeasy</a> – <strong>Production-ready, enterprise-resilient, best-in-class SDKs</strong> crafted in minutes. Speakeasy takes care of the entire SDK workflow to save you significant time, delivering SDKs to your customers in minutes with just a few clicks! <a href="https://speakeasy.com/">Create your first SDK for free!</a></li><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://www.shopify.com/practicalai">Shopify</a> – Sign up for a $1/month trial period at <a href="https://www.shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Featuring:</p><ul><li>Dinis Cruz – <a href="https://diniscruz.blogspot.com">Website</a>, <a href="https://github.com/DinisCruz">GitHub</a>, <a href="https://www.linkedin.com/in/diniscruz">LinkedIn</a>, <a href="https://x.com/DinisCruz">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.thecyberboardroom.com">The Cyber Boardroom</a></li><li><a href="https://genai.owasp.org/llm-top-10">OWASP - Top 10 for LLMs and Generative AI Apps</a></li><li><a href="https://genai.owasp.org">OWASP - Generative AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Dinis Cruz drops by to chat about cybersecurity for generative AI and large language models. In addition to discussing The Cyber Boardroom, Dinis also delves into cybersecurity efforts at OWASP and that organization’s Top 10 for LLMs and Generative AI Apps.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://speakeasy.com/">Speakeasy</a> – <strong>Production-ready, enterprise-resilient, best-in-class SDKs</strong> crafted in minutes. Speakeasy takes care of the entire SDK workflow to save you significant time, delivering SDKs to your customers in minutes with just a few clicks! <a href="https://speakeasy.com/">Create your first SDK for free!</a></li><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://www.shopify.com/practicalai">Shopify</a> – Sign up for a $1/month trial period at <a href="https://www.shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Featuring:</p><ul><li>Dinis Cruz – <a href="https://diniscruz.blogspot.com">Website</a>, <a href="https://github.com/DinisCruz">GitHub</a>, <a href="https://www.linkedin.com/in/diniscruz">LinkedIn</a>, <a href="https://x.com/DinisCruz">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.thecyberboardroom.com">The Cyber Boardroom</a></li><li><a href="https://genai.owasp.org/llm-top-10">OWASP - Top 10 for LLMs and Generative AI Apps</a></li><li><a href="https://genai.owasp.org">OWASP - Generative AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 11 Sep 2024 16:35:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/47e8830c/1d6b1048.mp3" length="49782606" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3094</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Dinis Cruz drops by to chat about cybersecurity for generative AI and large language models. In addition to discussing The Cyber Boardroom, Dinis also delves into cybersecurity efforts at OWASP and that organization’s Top 10 for LLMs and Generative AI Apps.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://speakeasy.com/">Speakeasy</a> – <strong>Production-ready, enterprise-resilient, best-in-class SDKs</strong> crafted in minutes. Speakeasy takes care of the entire SDK workflow to save you significant time, delivering SDKs to your customers in minutes with just a few clicks! <a href="https://speakeasy.com/">Create your first SDK for free!</a></li><li><a href="https://fly.io/">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps close to your users — global Anycast load-balancing, zero-configuration private networking, hardware isolation, and instant WireGuard VPN connections. Push-button deployments that scale to thousands of instances. <a href="https://fly.io/speedrun/">Check out the speedrun</a> to get started in minutes. </li><li><a href="https://www.shopify.com/practicalai">Shopify</a> – Sign up for a $1/month trial period at <a href="https://www.shopify.com/practicalai">shopify.com/practicalai</a></li></ul><p>Featuring:</p><ul><li>Dinis Cruz – <a href="https://diniscruz.blogspot.com">Website</a>, <a href="https://github.com/DinisCruz">GitHub</a>, <a href="https://www.linkedin.com/in/diniscruz">LinkedIn</a>, <a href="https://x.com/DinisCruz">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.thecyberboardroom.com">The Cyber Boardroom</a></li><li><a href="https://genai.owasp.org/llm-top-10">OWASP - Top 10 for LLMs and Generative AI Apps</a></li><li><a href="https://genai.owasp.org">OWASP - Generative AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/diniscruz" img="https://img.transistorcdn.com/BvhVd74SYgSQzCggRO6HOSQO45krJaq6qW8k3JVEcPs/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80OTFl/M2YzYjRjODhmMWE4/MDEwMWFlYmQzYzQ3/ZTAzZC5qcGc.jpg">Dinis Cruz</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    </item>
    <item>
      <title>AI is more than GenAI</title>
      <itunes:episode>285</itunes:episode>
      <podcast:episode>285</podcast:episode>
      <itunes:title>AI is more than GenAI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2551</guid>
      <link>https://share.transistor.fm/s/ba93c83c</link>
      <description>
        <![CDATA[<p>GenAI is often what people think of when someone mentions AI. However, AI is much more. In this episode, Daniel breaks down a history of developments in data science, machine learning, AI, and GenAI in this episode to give listeners a better mental model. Don’t miss this one if you are wanting to understand the AI ecosystem holistically and how models, embeddings, data, prompts, etc. all fit together.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://speakeasy.com/">Speakeasy</a> – <strong>Production-ready, enterprise-resilient, best-in-class SDKs</strong> crafted in minutes. Speakeasy takes care of the entire SDK workflow to save you significant time, delivering SDKs to your customers in minutes with just a few clicks! <a href="https://speakeasy.com/">Create your first SDK for free!</a></li></ul><p>Featuring:</p><ul><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://scikit-learn.org/stable/">scikit-learn</a></li><li><a href="https://cloud.google.com/automl?hl=en">AutoML in Google Cloud</a></li></ul><p> </p><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>GenAI is often what people think of when someone mentions AI. However, AI is much more. In this episode, Daniel breaks down a history of developments in data science, machine learning, AI, and GenAI in this episode to give listeners a better mental model. Don’t miss this one if you are wanting to understand the AI ecosystem holistically and how models, embeddings, data, prompts, etc. all fit together.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://speakeasy.com/">Speakeasy</a> – <strong>Production-ready, enterprise-resilient, best-in-class SDKs</strong> crafted in minutes. Speakeasy takes care of the entire SDK workflow to save you significant time, delivering SDKs to your customers in minutes with just a few clicks! <a href="https://speakeasy.com/">Create your first SDK for free!</a></li></ul><p>Featuring:</p><ul><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://scikit-learn.org/stable/">scikit-learn</a></li><li><a href="https://cloud.google.com/automl?hl=en">AutoML in Google Cloud</a></li></ul><p> </p><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Thu, 05 Sep 2024 10:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/ba93c83c/515129a7.mp3" length="38683913" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2403</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>GenAI is often what people think of when someone mentions AI. However, AI is much more. In this episode, Daniel breaks down a history of developments in data science, machine learning, AI, and GenAI in this episode to give listeners a better mental model. Don’t miss this one if you are wanting to understand the AI ecosystem holistically and how models, embeddings, data, prompts, etc. all fit together.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://speakeasy.com/">Speakeasy</a> – <strong>Production-ready, enterprise-resilient, best-in-class SDKs</strong> crafted in minutes. Speakeasy takes care of the entire SDK workflow to save you significant time, delivering SDKs to your customers in minutes with just a few clicks! <a href="https://speakeasy.com/">Create your first SDK for free!</a></li></ul><p>Featuring:</p><ul><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://scikit-learn.org/stable/">scikit-learn</a></li><li><a href="https://cloud.google.com/automl?hl=en">AutoML in Google Cloud</a></li></ul><p> </p><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    </item>
    <item>
      <title>Metrics Driven Development</title>
      <itunes:episode>284</itunes:episode>
      <podcast:episode>284</podcast:episode>
      <itunes:title>Metrics Driven Development</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2546</guid>
      <link>https://share.transistor.fm/s/4873f35c</link>
      <description>
        <![CDATA[<p>How do you systematically measure, optimize, and improve the performance of LLM applications (like those powered by RAG or tool use)? Ragas is an open source effort that has been trying to answer this question comprehensively, and they are promoting a “Metrics Driven Development” approach. Shahul from Ragas joins us to discuss Ragas in this episode, and we dig into specific metrics, the difference between benchmarking models and evaluating LLM apps, generating synthetic test data and more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.assemblyai.com/?utm_source=practicalai&amp;utm_medium=podcast">Assembly AI</a> – Turn voice data into summaries with AssemblyAI’s leading Speech AI models. Built by AI experts, their Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more. </li></ul><p>Featuring:</p><ul><li>Shahul Es – <a href="https://github.com/shahules786">GitHub</a>, <a href="https://www.linkedin.com/in/shahules">LinkedIn</a>, <a href="https://x.com/shahules786">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://ragas.io/">Ragas</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>How do you systematically measure, optimize, and improve the performance of LLM applications (like those powered by RAG or tool use)? Ragas is an open source effort that has been trying to answer this question comprehensively, and they are promoting a “Metrics Driven Development” approach. Shahul from Ragas joins us to discuss Ragas in this episode, and we dig into specific metrics, the difference between benchmarking models and evaluating LLM apps, generating synthetic test data and more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.assemblyai.com/?utm_source=practicalai&amp;utm_medium=podcast">Assembly AI</a> – Turn voice data into summaries with AssemblyAI’s leading Speech AI models. Built by AI experts, their Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more. </li></ul><p>Featuring:</p><ul><li>Shahul Es – <a href="https://github.com/shahules786">GitHub</a>, <a href="https://www.linkedin.com/in/shahules">LinkedIn</a>, <a href="https://x.com/shahules786">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://ragas.io/">Ragas</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Thu, 29 Aug 2024 16:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/4873f35c/d4cac168.mp3" length="40751349" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2532</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>How do you systematically measure, optimize, and improve the performance of LLM applications (like those powered by RAG or tool use)? Ragas is an open source effort that has been trying to answer this question comprehensively, and they are promoting a “Metrics Driven Development” approach. Shahul from Ragas joins us to discuss Ragas in this episode, and we dig into specific metrics, the difference between benchmarking models and evaluating LLM apps, generating synthetic test data and more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.assemblyai.com/?utm_source=practicalai&amp;utm_medium=podcast">Assembly AI</a> – Turn voice data into summaries with AssemblyAI’s leading Speech AI models. Built by AI experts, their Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more. </li></ul><p>Featuring:</p><ul><li>Shahul Es – <a href="https://github.com/shahules786">GitHub</a>, <a href="https://www.linkedin.com/in/shahules">LinkedIn</a>, <a href="https://x.com/shahules786">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://ragas.io/">Ragas</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/shahules" img="https://img.transistorcdn.com/9VH_94-xuCq_XUNm3DHX6Zio3zC5TRlz3ScRjFoH4iM/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82ZDJh/NTQ0NDJlZjU0MzFm/N2ViMGRiNzA0NzY1/OGIxMi5qcGVn.jpg">Shahul Es</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>Threat modeling LLM apps</title>
      <itunes:episode>283</itunes:episode>
      <podcast:episode>283</podcast:episode>
      <itunes:title>Threat modeling LLM apps</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/6947239f</link>
      <description>
        <![CDATA[<p>If you have questions at the intersection of Cybersecurity and AI, you need to know Donato at WithSecure! Donato has been threat modeling AI applications and seriously applying those models in his day-to-day work. He joins us in this episode to discuss his LLM application security canvas, prompt injections, alignment, and more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.assemblyai.com/?utm_source=practicalai&amp;utm_medium=podcast">Assembly AI</a> – Turn voice data into summaries with AssemblyAI’s leading Speech AI models. Built by AI experts, their Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more. </li><li><a href="https://porkbun.com/PracticalAI24">Porkbun</a> – Go to <a href="https://porkbun.com/PracticalAI24">porkbun.com</a> to get .app, .dev, or .foo domain names at Porkbun for only $1 for the first year! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Donato Capitella – <a href="https://llm-chronicles.com">Website</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.withsecure.com/en/solutions/consulting/generative-ai-security">The Security Canvas for LLM Applications</a></li><li><a href="https://www.youtube.com/playlist?list=PLNg09XqZv0dHVDw7OiiRQJ315HnGHbDbG">LLM Security Chronicles Playlist on YouTube</a></li><li><a href="https://labs.withsecure.com/publications/browser-agents-llm-prompt-injection">Should you let ChatGPT control your browser?</a></li><li><a href="https://labs.withsecure.com/publications/gemini-prompt-injection">When your AI assistant has an evil twin</a></li><li><a href="https://x.com/elder_plinius">Pliny the Liberator - jailbreak guru</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>If you have questions at the intersection of Cybersecurity and AI, you need to know Donato at WithSecure! Donato has been threat modeling AI applications and seriously applying those models in his day-to-day work. He joins us in this episode to discuss his LLM application security canvas, prompt injections, alignment, and more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.assemblyai.com/?utm_source=practicalai&amp;utm_medium=podcast">Assembly AI</a> – Turn voice data into summaries with AssemblyAI’s leading Speech AI models. Built by AI experts, their Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more. </li><li><a href="https://porkbun.com/PracticalAI24">Porkbun</a> – Go to <a href="https://porkbun.com/PracticalAI24">porkbun.com</a> to get .app, .dev, or .foo domain names at Porkbun for only $1 for the first year! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Donato Capitella – <a href="https://llm-chronicles.com">Website</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.withsecure.com/en/solutions/consulting/generative-ai-security">The Security Canvas for LLM Applications</a></li><li><a href="https://www.youtube.com/playlist?list=PLNg09XqZv0dHVDw7OiiRQJ315HnGHbDbG">LLM Security Chronicles Playlist on YouTube</a></li><li><a href="https://labs.withsecure.com/publications/browser-agents-llm-prompt-injection">Should you let ChatGPT control your browser?</a></li><li><a href="https://labs.withsecure.com/publications/gemini-prompt-injection">When your AI assistant has an evil twin</a></li><li><a href="https://x.com/elder_plinius">Pliny the Liberator - jailbreak guru</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Thu, 22 Aug 2024 09:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>3278</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>If you have questions at the intersection of Cybersecurity and AI, you need to know Donato at WithSecure! Donato has been threat modeling AI applications and seriously applying those models in his day-to-day work. He joins us in this episode to discuss his LLM application security canvas, prompt injections, alignment, and more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.assemblyai.com/?utm_source=practicalai&amp;utm_medium=podcast">Assembly AI</a> – Turn voice data into summaries with AssemblyAI’s leading Speech AI models. Built by AI experts, their Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more. </li><li><a href="https://porkbun.com/PracticalAI24">Porkbun</a> – Go to <a href="https://porkbun.com/PracticalAI24">porkbun.com</a> to get .app, .dev, or .foo domain names at Porkbun for only $1 for the first year! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Donato Capitella – <a href="https://llm-chronicles.com">Website</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.withsecure.com/en/solutions/consulting/generative-ai-security">The Security Canvas for LLM Applications</a></li><li><a href="https://www.youtube.com/playlist?list=PLNg09XqZv0dHVDw7OiiRQJ315HnGHbDbG">LLM Security Chronicles Playlist on YouTube</a></li><li><a href="https://labs.withsecure.com/publications/browser-agents-llm-prompt-injection">Should you let ChatGPT control your browser?</a></li><li><a href="https://labs.withsecure.com/publications/gemini-prompt-injection">When your AI assistant has an evil twin</a></li><li><a href="https://x.com/elder_plinius">Pliny the Liberator - jailbreak guru</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/donato-capitella" img="https://img.transistorcdn.com/q5FZDpOdmicp2O6-xUzq7BZzPFb1A3s_ZMVrDUZnXLA/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zZTZj/Mzg4MjJlMzIyZjRh/M2I3MWM0YzIwZDVl/YWUzNS5qcGVn.jpg">Donato Capitella</podcast:person>
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    <item>
      <title>Only as good as the data</title>
      <itunes:episode>282</itunes:episode>
      <podcast:episode>282</podcast:episode>
      <itunes:title>Only as good as the data</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2534</guid>
      <link>https://share.transistor.fm/s/1edb5dc5</link>
      <description>
        <![CDATA[<p>You might have heard that “AI is only as good as the data.” What does that mean and what data are we talking about? Chris and Daniel dig into that topic in the episode exploring the categories of data that you might encounter working in AI (for training, testing, fine-tuning, benchmarks, etc.). They also discuss the latest developments in AI regulation with the EU’s AI Act coming into force.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.assemblyai.com/?utm_source=practicalai&amp;utm_medium=podcast">Assembly AI</a> – Turn voice data into summaries with AssemblyAI’s leading Speech AI models. Built by AI experts, their Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>You might have heard that “AI is only as good as the data.” What does that mean and what data are we talking about? Chris and Daniel dig into that topic in the episode exploring the categories of data that you might encounter working in AI (for training, testing, fine-tuning, benchmarks, etc.). They also discuss the latest developments in AI regulation with the EU’s AI Act coming into force.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.assemblyai.com/?utm_source=practicalai&amp;utm_medium=podcast">Assembly AI</a> – Turn voice data into summaries with AssemblyAI’s leading Speech AI models. Built by AI experts, their Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 14 Aug 2024 17:15:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/1edb5dc5/16bf7b93.mp3" length="44085338" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2741</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>You might have heard that “AI is only as good as the data.” What does that mean and what data are we talking about? Chris and Daniel dig into that topic in the episode exploring the categories of data that you might encounter working in AI (for training, testing, fine-tuning, benchmarks, etc.). They also discuss the latest developments in AI regulation with the EU’s AI Act coming into force.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.assemblyai.com/?utm_source=practicalai&amp;utm_medium=podcast">Assembly AI</a> – Turn voice data into summaries with AssemblyAI’s leading Speech AI models. Built by AI experts, their Speech AI models include accurate speech-to-text for voice data (such as calls, virtual meetings, and podcasts), speaker detection, sentiment analysis, chapter detection, PII redaction, and more. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>Gaudi processors &amp; Intel's AI portfolio</title>
      <itunes:episode>281</itunes:episode>
      <podcast:episode>281</podcast:episode>
      <itunes:title>Gaudi processors &amp; Intel's AI portfolio</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2518</guid>
      <link>https://share.transistor.fm/s/0ef709e4</link>
      <description>
        <![CDATA[<p>There is an increasing desire for and effort towards GPU alternatives for AI workloads and an ability to run GenAI models on CPUs. Ben and Greg from Intel join us in this episode to help us understand Intel’s strategy as it related to AI along with related projects, hardware, and developer communities. We dig into Intel’s Gaudi processors, open source collaborations with Hugging Face, and AI on CPU/Xeon processors.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://intel.com/innovation?regcode=CMCCHL&amp;utm_campaign=Changelog">Intel Innovation 2024</a> – Early bird registration is now open for Intel Innovation 2024 in San Jose, CA! <a href="https://intel.com/innovation?regcode=CMCCHL&amp;utm_campaign=Changelog">Learn more</a> OR <a href="https://reg.oneventseries.intel.com/flow/intel/innv2024/InnovationReg?regcode=CMCCHL&amp;utm_campaign=Changelog">register</a></li><li><a href="https://www.motific.ai/">Motific</a> – Accelerate your GenAI adoption journey. Rapidly deliver trustworthy GenAI assistants. Learn more at <a href="https://www.motific.ai/">motific.ai</a></li></ul><p>Featuring:</p><ul><li>Benjamin Consolvo – <a href="https://github.com/bconsolvo">GitHub</a>, <a href="https://www.linkedin.com/in/bconsolvo">LinkedIn</a>, <a href="https://x.com/bpconsolvo">X</a></li><li>Greg Serochi – <a href="https://www.linkedin.com/in/greg-serochi-a3126933">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.intel.com/content/www/us/en/developer/ecosystem/ai-ml-overview.html">Intel’s AI &amp; Machine Learning Ecosystem Developer Resources</a></li><li><a href="https://www.intel.com/content/www/us/en/developer/tools/devcloud/services.html">Intel® Tiber™ Developer Cloud</a></li><li><a href="https://habana.ai/products/gaudi/">Intel Gaudi AI Processors</a></li><li><a href="https://github.com/huggingface/optimum-habana">Optimum Habana</a></li><li><a href="https://www.intel.com/content/www/us/en/developer/tools/oneapi/ai-analytics-toolkit.html">Overview of AI tools from Intel</a></li><li><a href="https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html">OpenVINO</a></li><li><a href="https://www.intel.com/content/www/us/en/content-details/817317/case-study-prediction-guard-de-risks-llm-applications-at-scale.html">Case Study: Prediction Guard De-Risks LLM Applications at Scale</a></li><li><a href="https://www.intel.com/content/www/us/en/developer/videos/prediction-guard-delivers-trustworthy-ai-on-gaudi2.html">How Prediction Guard Delivers Trustworthy AI on Intel® Gaudi® 2 AI Accelerators</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>There is an increasing desire for and effort towards GPU alternatives for AI workloads and an ability to run GenAI models on CPUs. Ben and Greg from Intel join us in this episode to help us understand Intel’s strategy as it related to AI along with related projects, hardware, and developer communities. We dig into Intel’s Gaudi processors, open source collaborations with Hugging Face, and AI on CPU/Xeon processors.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://intel.com/innovation?regcode=CMCCHL&amp;utm_campaign=Changelog">Intel Innovation 2024</a> – Early bird registration is now open for Intel Innovation 2024 in San Jose, CA! <a href="https://intel.com/innovation?regcode=CMCCHL&amp;utm_campaign=Changelog">Learn more</a> OR <a href="https://reg.oneventseries.intel.com/flow/intel/innv2024/InnovationReg?regcode=CMCCHL&amp;utm_campaign=Changelog">register</a></li><li><a href="https://www.motific.ai/">Motific</a> – Accelerate your GenAI adoption journey. Rapidly deliver trustworthy GenAI assistants. Learn more at <a href="https://www.motific.ai/">motific.ai</a></li></ul><p>Featuring:</p><ul><li>Benjamin Consolvo – <a href="https://github.com/bconsolvo">GitHub</a>, <a href="https://www.linkedin.com/in/bconsolvo">LinkedIn</a>, <a href="https://x.com/bpconsolvo">X</a></li><li>Greg Serochi – <a href="https://www.linkedin.com/in/greg-serochi-a3126933">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.intel.com/content/www/us/en/developer/ecosystem/ai-ml-overview.html">Intel’s AI &amp; Machine Learning Ecosystem Developer Resources</a></li><li><a href="https://www.intel.com/content/www/us/en/developer/tools/devcloud/services.html">Intel® Tiber™ Developer Cloud</a></li><li><a href="https://habana.ai/products/gaudi/">Intel Gaudi AI Processors</a></li><li><a href="https://github.com/huggingface/optimum-habana">Optimum Habana</a></li><li><a href="https://www.intel.com/content/www/us/en/developer/tools/oneapi/ai-analytics-toolkit.html">Overview of AI tools from Intel</a></li><li><a href="https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html">OpenVINO</a></li><li><a href="https://www.intel.com/content/www/us/en/content-details/817317/case-study-prediction-guard-de-risks-llm-applications-at-scale.html">Case Study: Prediction Guard De-Risks LLM Applications at Scale</a></li><li><a href="https://www.intel.com/content/www/us/en/developer/videos/prediction-guard-delivers-trustworthy-ai-on-gaudi2.html">How Prediction Guard Delivers Trustworthy AI on Intel® Gaudi® 2 AI Accelerators</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 07 Aug 2024 09:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2788</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>There is an increasing desire for and effort towards GPU alternatives for AI workloads and an ability to run GenAI models on CPUs. Ben and Greg from Intel join us in this episode to help us understand Intel’s strategy as it related to AI along with related projects, hardware, and developer communities. We dig into Intel’s Gaudi processors, open source collaborations with Hugging Face, and AI on CPU/Xeon processors.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://intel.com/innovation?regcode=CMCCHL&amp;utm_campaign=Changelog">Intel Innovation 2024</a> – Early bird registration is now open for Intel Innovation 2024 in San Jose, CA! <a href="https://intel.com/innovation?regcode=CMCCHL&amp;utm_campaign=Changelog">Learn more</a> OR <a href="https://reg.oneventseries.intel.com/flow/intel/innv2024/InnovationReg?regcode=CMCCHL&amp;utm_campaign=Changelog">register</a></li><li><a href="https://www.motific.ai/">Motific</a> – Accelerate your GenAI adoption journey. Rapidly deliver trustworthy GenAI assistants. Learn more at <a href="https://www.motific.ai/">motific.ai</a></li></ul><p>Featuring:</p><ul><li>Benjamin Consolvo – <a href="https://github.com/bconsolvo">GitHub</a>, <a href="https://www.linkedin.com/in/bconsolvo">LinkedIn</a>, <a href="https://x.com/bpconsolvo">X</a></li><li>Greg Serochi – <a href="https://www.linkedin.com/in/greg-serochi-a3126933">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.intel.com/content/www/us/en/developer/ecosystem/ai-ml-overview.html">Intel’s AI &amp; Machine Learning Ecosystem Developer Resources</a></li><li><a href="https://www.intel.com/content/www/us/en/developer/tools/devcloud/services.html">Intel® Tiber™ Developer Cloud</a></li><li><a href="https://habana.ai/products/gaudi/">Intel Gaudi AI Processors</a></li><li><a href="https://github.com/huggingface/optimum-habana">Optimum Habana</a></li><li><a href="https://www.intel.com/content/www/us/en/developer/tools/oneapi/ai-analytics-toolkit.html">Overview of AI tools from Intel</a></li><li><a href="https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html">OpenVINO</a></li><li><a href="https://www.intel.com/content/www/us/en/content-details/817317/case-study-prediction-guard-de-risks-llm-applications-at-scale.html">Case Study: Prediction Guard De-Risks LLM Applications at Scale</a></li><li><a href="https://www.intel.com/content/www/us/en/developer/videos/prediction-guard-delivers-trustworthy-ai-on-gaudi2.html">How Prediction Guard Delivers Trustworthy AI on Intel® Gaudi® 2 AI Accelerators</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/bconsolvo" img="https://img.transistorcdn.com/XGcIFQEBPUhPbIQte5kwlQbYhY4c89DAyOvStNyFF-g/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84NjU5/NzhiMDRhZjBlZWRi/YWZhYjU1NWYzYTA1/MmQ5OS5qcGc.jpg">Benjamin Consolvo</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/greg-serochi" img="https://img.transistorcdn.com/W5H_2g6aW0juuKW7t5k36UhHQHLU_BSW4yOJ6zqXtns/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9iYjJi/NzAwZjJjMGQxZjky/MzJjZTgyZTFhYzZi/ZmExNS5qcGVn.jpg">Greg Serochi</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/0ef709e4/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Broccoli AI at its best 🥦</title>
      <itunes:episode>280</itunes:episode>
      <podcast:episode>280</podcast:episode>
      <itunes:title>Broccoli AI at its best 🥦</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2515</guid>
      <link>https://share.transistor.fm/s/732541e8</link>
      <description>
        <![CDATA[<p>We discussed “🥦 Broccoli AI” a couple weeks ago, which is the kind of AI that is actually good/healthy for a real world business. Bengsoon Chuah, a data scientist working in the energy sector, joins us to discuss developing and deploying NLP pipelines in that environment. We talk about good/healthy ways of introducing AI in a company that uses on-prem infrastructure, has few data science professionals, and operates in high risk environments.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://intel.com/innovation?regcode=CMCCHL&amp;utm_campaign=Changelog">Intel Innovation 2024</a> – Early bird registration is now open for Intel Innovation 2024 in San Jose, CA! <a href="https://intel.com/innovation?regcode=CMCCHL&amp;utm_campaign=Changelog">Learn more</a> OR <a href="https://reg.oneventseries.intel.com/flow/intel/innv2024/InnovationReg?regcode=CMCCHL&amp;utm_campaign=Changelog">register</a></li><li><a href="https://www.motific.ai/">Motific</a> – Accelerate your GenAI adoption journey. Rapidly deliver trustworthy GenAI assistants. Learn more at <a href="https://www.motific.ai/">motific.ai</a></li></ul><p>Featuring:</p><ul><li>Bengsoon Chuah – <a href="https://github.com/bengsoon">GitHub</a>, <a href="https://www.linkedin.com/in/bengsoon">LinkedIn</a>, <a href="https://x.com/bengsoon">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://mlflow.org/">MLFlow</a></li><li><a href="https://www.prefect.io">Prefect</a></li><li><a href="https://duckdb.org/">DuckDB</a></li><li><a href="https://argilla.io/">Agrilla</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We discussed “🥦 Broccoli AI” a couple weeks ago, which is the kind of AI that is actually good/healthy for a real world business. Bengsoon Chuah, a data scientist working in the energy sector, joins us to discuss developing and deploying NLP pipelines in that environment. We talk about good/healthy ways of introducing AI in a company that uses on-prem infrastructure, has few data science professionals, and operates in high risk environments.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://intel.com/innovation?regcode=CMCCHL&amp;utm_campaign=Changelog">Intel Innovation 2024</a> – Early bird registration is now open for Intel Innovation 2024 in San Jose, CA! <a href="https://intel.com/innovation?regcode=CMCCHL&amp;utm_campaign=Changelog">Learn more</a> OR <a href="https://reg.oneventseries.intel.com/flow/intel/innv2024/InnovationReg?regcode=CMCCHL&amp;utm_campaign=Changelog">register</a></li><li><a href="https://www.motific.ai/">Motific</a> – Accelerate your GenAI adoption journey. Rapidly deliver trustworthy GenAI assistants. Learn more at <a href="https://www.motific.ai/">motific.ai</a></li></ul><p>Featuring:</p><ul><li>Bengsoon Chuah – <a href="https://github.com/bengsoon">GitHub</a>, <a href="https://www.linkedin.com/in/bengsoon">LinkedIn</a>, <a href="https://x.com/bengsoon">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://mlflow.org/">MLFlow</a></li><li><a href="https://www.prefect.io">Prefect</a></li><li><a href="https://duckdb.org/">DuckDB</a></li><li><a href="https://argilla.io/">Agrilla</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 31 Jul 2024 17:40:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/732541e8/c90a105e.mp3" length="41057529" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2551</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We discussed “🥦 Broccoli AI” a couple weeks ago, which is the kind of AI that is actually good/healthy for a real world business. Bengsoon Chuah, a data scientist working in the energy sector, joins us to discuss developing and deploying NLP pipelines in that environment. We talk about good/healthy ways of introducing AI in a company that uses on-prem infrastructure, has few data science professionals, and operates in high risk environments.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://intel.com/innovation?regcode=CMCCHL&amp;utm_campaign=Changelog">Intel Innovation 2024</a> – Early bird registration is now open for Intel Innovation 2024 in San Jose, CA! <a href="https://intel.com/innovation?regcode=CMCCHL&amp;utm_campaign=Changelog">Learn more</a> OR <a href="https://reg.oneventseries.intel.com/flow/intel/innv2024/InnovationReg?regcode=CMCCHL&amp;utm_campaign=Changelog">register</a></li><li><a href="https://www.motific.ai/">Motific</a> – Accelerate your GenAI adoption journey. Rapidly deliver trustworthy GenAI assistants. Learn more at <a href="https://www.motific.ai/">motific.ai</a></li></ul><p>Featuring:</p><ul><li>Bengsoon Chuah – <a href="https://github.com/bengsoon">GitHub</a>, <a href="https://www.linkedin.com/in/bengsoon">LinkedIn</a>, <a href="https://x.com/bengsoon">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://mlflow.org/">MLFlow</a></li><li><a href="https://www.prefect.io">Prefect</a></li><li><a href="https://duckdb.org/">DuckDB</a></li><li><a href="https://argilla.io/">Agrilla</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/bengsoon" img="https://img.transistorcdn.com/6ifwFHJ9mCJxUGsJ5RmnXat-lC6BuQofonqSsCC7kSk/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jMWRk/NDIxODU2NTE1Y2M3/YjFiZjI1OTg4N2Fh/YmU5Yi5qcGc.jpg">Bengsoon Chuah</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/732541e8/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Hyperventilating over the Gartner AI Hype Cycle</title>
      <itunes:episode>279</itunes:episode>
      <podcast:episode>279</podcast:episode>
      <itunes:title>Hyperventilating over the Gartner AI Hype Cycle</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2499</guid>
      <link>https://share.transistor.fm/s/254d82f8</link>
      <description>
        <![CDATA[<p>This week Daniel &amp; Chris hang with repeat guest and good friend Demetrios Brinkmann of the MLOps Community. Together they review, debate, and poke fun at the 2024 Gartner Hype Cycle chart for Artificial Intelligence. You are invited to join them in this light-hearted fun conversation about the state of hype in artificial intelligence.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://intel.com/innovation?regcode=CMCCHL&amp;utm_campaign=Changelog">Intel Innovation 2024</a> – Early bird registration is now open for Intel Innovation 2024 in San Jose, CA! <a href="https://intel.com/innovation?regcode=CMCCHL&amp;utm_campaign=Changelog">Learn more</a> OR <a href="https://reg.oneventseries.intel.com/flow/intel/innv2024/InnovationReg?regcode=CMCCHL&amp;utm_campaign=Changelog">register</a></li><li><a href="https://www.motific.ai/">Motific</a> – Accelerate your GenAI adoption journey. Rapidly deliver trustworthy GenAI assistants. Learn more at <a href="https://www.motific.ai/">motific.ai</a></li></ul><p>Featuring:</p><ul><li>Demetrios Brinkmann – <a href="https://x.com/Dpbrinkm">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://mlops.community">MLOps Community</a></li><li><a href="https://tr.ee/2aUfMm9AIb">MLOps Community Podcast</a></li><li><a href="https://www.gartner.com/en/documents/5505695">Gartner Hype Cycle for Artificial Intelligence, 2024</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>This week Daniel &amp; Chris hang with repeat guest and good friend Demetrios Brinkmann of the MLOps Community. Together they review, debate, and poke fun at the 2024 Gartner Hype Cycle chart for Artificial Intelligence. You are invited to join them in this light-hearted fun conversation about the state of hype in artificial intelligence.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://intel.com/innovation?regcode=CMCCHL&amp;utm_campaign=Changelog">Intel Innovation 2024</a> – Early bird registration is now open for Intel Innovation 2024 in San Jose, CA! <a href="https://intel.com/innovation?regcode=CMCCHL&amp;utm_campaign=Changelog">Learn more</a> OR <a href="https://reg.oneventseries.intel.com/flow/intel/innv2024/InnovationReg?regcode=CMCCHL&amp;utm_campaign=Changelog">register</a></li><li><a href="https://www.motific.ai/">Motific</a> – Accelerate your GenAI adoption journey. Rapidly deliver trustworthy GenAI assistants. Learn more at <a href="https://www.motific.ai/">motific.ai</a></li></ul><p>Featuring:</p><ul><li>Demetrios Brinkmann – <a href="https://x.com/Dpbrinkm">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://mlops.community">MLOps Community</a></li><li><a href="https://tr.ee/2aUfMm9AIb">MLOps Community Podcast</a></li><li><a href="https://www.gartner.com/en/documents/5505695">Gartner Hype Cycle for Artificial Intelligence, 2024</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 24 Jul 2024 15:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/254d82f8/392cb90d.mp3" length="53188556" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3309</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>This week Daniel &amp; Chris hang with repeat guest and good friend Demetrios Brinkmann of the MLOps Community. Together they review, debate, and poke fun at the 2024 Gartner Hype Cycle chart for Artificial Intelligence. You are invited to join them in this light-hearted fun conversation about the state of hype in artificial intelligence.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://intel.com/innovation?regcode=CMCCHL&amp;utm_campaign=Changelog">Intel Innovation 2024</a> – Early bird registration is now open for Intel Innovation 2024 in San Jose, CA! <a href="https://intel.com/innovation?regcode=CMCCHL&amp;utm_campaign=Changelog">Learn more</a> OR <a href="https://reg.oneventseries.intel.com/flow/intel/innv2024/InnovationReg?regcode=CMCCHL&amp;utm_campaign=Changelog">register</a></li><li><a href="https://www.motific.ai/">Motific</a> – Accelerate your GenAI adoption journey. Rapidly deliver trustworthy GenAI assistants. Learn more at <a href="https://www.motific.ai/">motific.ai</a></li></ul><p>Featuring:</p><ul><li>Demetrios Brinkmann – <a href="https://x.com/Dpbrinkm">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://mlops.community">MLOps Community</a></li><li><a href="https://tr.ee/2aUfMm9AIb">MLOps Community Podcast</a></li><li><a href="https://www.gartner.com/en/documents/5505695">Gartner Hype Cycle for Artificial Intelligence, 2024</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/demetrios" img="https://img.transistorcdn.com/VPMvW4nDWKZtMvGZe55OQEKQvA0qWeMhm5MFl1vBtuY/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kOWFm/Y2UwZjc0ZjdhZjAz/M2VhMGM0NWYwY2Ni/MzQ0NS5qcGc.jpg">Demetrios Brinkmann</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/254d82f8/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>The first real-time voice assistant</title>
      <itunes:episode>278</itunes:episode>
      <podcast:episode>278</podcast:episode>
      <itunes:title>The first real-time voice assistant</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2497</guid>
      <link>https://share.transistor.fm/s/dce6df9c</link>
      <description>
        <![CDATA[<p>In the midst of the demos &amp; discussion about OpenAI’s GPT-4o voice assistant, <a href="https://kyutai.org/">Kyutai</a> swooped in to release the <em>first</em> real-time AI voice assistant model and a pretty slick demo (Moshi). Chris &amp; Daniel discuss what this more open approach to a voice assistant might catalyze. They also discuss recent changes to Gartner’s ranking of GenAI on their hype cycle.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://useplumb.com/">Plumb</a> – <strong>Low-code AI pipeline builder</strong> that helps you build complex AI pipelines fast. Easily create AI pipelines using their node-based editor. Iterate and deploy faster and more reliably than coding by hand, without sacrificing control. </li><li><a href="https://www.motific.ai/">Motific</a> – Accelerate your GenAI adoption journey. Rapidly deliver trustworthy GenAI assistants. Learn more at <a href="https://www.motific.ai/">motific.ai</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://kyutai.org/">Kyutai</a></li><li><a href="https://www.youtube.com/live/hm2IJSKcYvo">Kyutai keynote video</a></li><li><a href="https://www.gartner.com/en/documents/5505695">Gartner Hype Cycle for AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In the midst of the demos &amp; discussion about OpenAI’s GPT-4o voice assistant, <a href="https://kyutai.org/">Kyutai</a> swooped in to release the <em>first</em> real-time AI voice assistant model and a pretty slick demo (Moshi). Chris &amp; Daniel discuss what this more open approach to a voice assistant might catalyze. They also discuss recent changes to Gartner’s ranking of GenAI on their hype cycle.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://useplumb.com/">Plumb</a> – <strong>Low-code AI pipeline builder</strong> that helps you build complex AI pipelines fast. Easily create AI pipelines using their node-based editor. Iterate and deploy faster and more reliably than coding by hand, without sacrificing control. </li><li><a href="https://www.motific.ai/">Motific</a> – Accelerate your GenAI adoption journey. Rapidly deliver trustworthy GenAI assistants. Learn more at <a href="https://www.motific.ai/">motific.ai</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://kyutai.org/">Kyutai</a></li><li><a href="https://www.youtube.com/live/hm2IJSKcYvo">Kyutai keynote video</a></li><li><a href="https://www.gartner.com/en/documents/5505695">Gartner Hype Cycle for AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Thu, 18 Jul 2024 08:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/dce6df9c/cb45fd3a.mp3" length="41846106" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2601</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In the midst of the demos &amp; discussion about OpenAI’s GPT-4o voice assistant, <a href="https://kyutai.org/">Kyutai</a> swooped in to release the <em>first</em> real-time AI voice assistant model and a pretty slick demo (Moshi). Chris &amp; Daniel discuss what this more open approach to a voice assistant might catalyze. They also discuss recent changes to Gartner’s ranking of GenAI on their hype cycle.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://useplumb.com/">Plumb</a> – <strong>Low-code AI pipeline builder</strong> that helps you build complex AI pipelines fast. Easily create AI pipelines using their node-based editor. Iterate and deploy faster and more reliably than coding by hand, without sacrificing control. </li><li><a href="https://www.motific.ai/">Motific</a> – Accelerate your GenAI adoption journey. Rapidly deliver trustworthy GenAI assistants. Learn more at <a href="https://www.motific.ai/">motific.ai</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://kyutai.org/">Kyutai</a></li><li><a href="https://www.youtube.com/live/hm2IJSKcYvo">Kyutai keynote video</a></li><li><a href="https://www.gartner.com/en/documents/5505695">Gartner Hype Cycle for AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/dce6df9c/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Vectoring in on Pinecone</title>
      <itunes:episode>277</itunes:episode>
      <podcast:episode>277</podcast:episode>
      <itunes:title>Vectoring in on Pinecone</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2491</guid>
      <link>https://share.transistor.fm/s/8c9648cd</link>
      <description>
        <![CDATA[<p>Daniel &amp; Chris explore the advantages of vector databases with Roie Schwaber-Cohen of Pinecone. Roie starts with a very lucid explanation of why you need a vector database in your machine learning pipeline, and then goes on to discuss Pinecone’s vector database, designed to facilitate efficient storage, retrieval, and management of vector data.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://useplumb.com/">Plumb</a> – <strong>Low-code AI pipeline builder</strong> that helps you build complex AI pipelines fast. Easily create AI pipelines using their node-based editor. Iterate and deploy faster and more reliably than coding by hand, without sacrificing control. </li></ul><p>Featuring:</p><ul><li>Roie Schwaber-Cohen – <a href="https://github.com/rschwabco">GitHub</a>, <a href="https://www.linkedin.com/in/roiecohen">LinkedIn</a>, <a href="https://x.com/roieschwabco">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.pinecone.io">Pinecone</a></li><li><a href="https://www.pinecone.io/blog">Pinecone | Blog</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel &amp; Chris explore the advantages of vector databases with Roie Schwaber-Cohen of Pinecone. Roie starts with a very lucid explanation of why you need a vector database in your machine learning pipeline, and then goes on to discuss Pinecone’s vector database, designed to facilitate efficient storage, retrieval, and management of vector data.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://useplumb.com/">Plumb</a> – <strong>Low-code AI pipeline builder</strong> that helps you build complex AI pipelines fast. Easily create AI pipelines using their node-based editor. Iterate and deploy faster and more reliably than coding by hand, without sacrificing control. </li></ul><p>Featuring:</p><ul><li>Roie Schwaber-Cohen – <a href="https://github.com/rschwabco">GitHub</a>, <a href="https://www.linkedin.com/in/roiecohen">LinkedIn</a>, <a href="https://x.com/roieschwabco">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.pinecone.io">Pinecone</a></li><li><a href="https://www.pinecone.io/blog">Pinecone | Blog</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 10 Jul 2024 13:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/8c9648cd/8f08d251.mp3" length="42650799" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2651</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel &amp; Chris explore the advantages of vector databases with Roie Schwaber-Cohen of Pinecone. Roie starts with a very lucid explanation of why you need a vector database in your machine learning pipeline, and then goes on to discuss Pinecone’s vector database, designed to facilitate efficient storage, retrieval, and management of vector data.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://useplumb.com/">Plumb</a> – <strong>Low-code AI pipeline builder</strong> that helps you build complex AI pipelines fast. Easily create AI pipelines using their node-based editor. Iterate and deploy faster and more reliably than coding by hand, without sacrificing control. </li></ul><p>Featuring:</p><ul><li>Roie Schwaber-Cohen – <a href="https://github.com/rschwabco">GitHub</a>, <a href="https://www.linkedin.com/in/roiecohen">LinkedIn</a>, <a href="https://x.com/roieschwabco">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.pinecone.io">Pinecone</a></li><li><a href="https://www.pinecone.io/blog">Pinecone | Blog</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/roiecohen" img="https://img.transistorcdn.com/5RnPhqS6QNF4p472GPFn0vMZng5DM1Y33g1pkRZooUE/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85YTk4/NzA4NTcwZDlmZTBj/MWNiODQ5ODc2MDk4/YjRhNy5qcGc.jpg">Roie Schwaber-Cohen</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/8c9648cd/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Stanford's AI Index Report 2024</title>
      <itunes:episode>276</itunes:episode>
      <podcast:episode>276</podcast:episode>
      <itunes:title>Stanford's AI Index Report 2024</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2477</guid>
      <link>https://share.transistor.fm/s/087fcf22</link>
      <description>
        <![CDATA[<p>We’ve had representatives from Stanford’s Institute for Human-Centered Artificial Intelligence (HAI) on the show in the past, but we were super excited to talk through their 2024 AI Index Report after such a crazy year in AI! Nestor from HAI joins us in this episode to talk about some of the main takeaways including how AI makes workers more productive, the US is increasing regulations sharply, and industry continues to dominate frontier AI research.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://useplumb.com/">Plumb</a> – <strong>Low-code AI pipeline builder</strong> that helps you build complex AI pipelines fast. Easily create AI pipelines using their node-based editor. Iterate and deploy faster and more reliably than coding by hand, without sacrificing control. </li></ul><p>Featuring:</p><ul><li>Nestor Maslej – <a href="https://www.linkedin.com/in/nestor-maslej-b565b779">LinkedIn</a>, <a href="https://x.com/nmaslej">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://hai.stanford.edu/">Stanford HAI</a></li><li><a href="https://aiindex.stanford.edu/report/">2024 AI Index Report</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We’ve had representatives from Stanford’s Institute for Human-Centered Artificial Intelligence (HAI) on the show in the past, but we were super excited to talk through their 2024 AI Index Report after such a crazy year in AI! Nestor from HAI joins us in this episode to talk about some of the main takeaways including how AI makes workers more productive, the US is increasing regulations sharply, and industry continues to dominate frontier AI research.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://useplumb.com/">Plumb</a> – <strong>Low-code AI pipeline builder</strong> that helps you build complex AI pipelines fast. Easily create AI pipelines using their node-based editor. Iterate and deploy faster and more reliably than coding by hand, without sacrificing control. </li></ul><p>Featuring:</p><ul><li>Nestor Maslej – <a href="https://www.linkedin.com/in/nestor-maslej-b565b779">LinkedIn</a>, <a href="https://x.com/nmaslej">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://hai.stanford.edu/">Stanford HAI</a></li><li><a href="https://aiindex.stanford.edu/report/">2024 AI Index Report</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 02 Jul 2024 15:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/087fcf22/9a41ccbb.mp3" length="45415120" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2824</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We’ve had representatives from Stanford’s Institute for Human-Centered Artificial Intelligence (HAI) on the show in the past, but we were super excited to talk through their 2024 AI Index Report after such a crazy year in AI! Nestor from HAI joins us in this episode to talk about some of the main takeaways including how AI makes workers more productive, the US is increasing regulations sharply, and industry continues to dominate frontier AI research.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://useplumb.com/">Plumb</a> – <strong>Low-code AI pipeline builder</strong> that helps you build complex AI pipelines fast. Easily create AI pipelines using their node-based editor. Iterate and deploy faster and more reliably than coding by hand, without sacrificing control. </li></ul><p>Featuring:</p><ul><li>Nestor Maslej – <a href="https://www.linkedin.com/in/nestor-maslej-b565b779">LinkedIn</a>, <a href="https://x.com/nmaslej">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://hai.stanford.edu/">Stanford HAI</a></li><li><a href="https://aiindex.stanford.edu/report/">2024 AI Index Report</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/nestor-maslej" img="https://img.transistorcdn.com/6ETa3fc9gw7UTqaf4R5nHhwzI6FHJcAwZi_PLNoVyFg/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zOTg2/ZjlkNGNkNTRmNmZl/MTg1ZWZhOWFhNGNk/OTNmMy5qcGc.jpg">Nestor Maslej</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/087fcf22/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Apple Intelligence &amp; Advanced RAG</title>
      <itunes:episode>275</itunes:episode>
      <podcast:episode>275</podcast:episode>
      <itunes:title>Apple Intelligence &amp; Advanced RAG</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2473</guid>
      <link>https://share.transistor.fm/s/b03b373b</link>
      <description>
        <![CDATA[<p>Daniel &amp; Chris engage in an impromptu discussion of the state of AI in the enterprise. Then they dive into the recent <em>Apple Intelligence</em> announcement to explore its implications. Finally, Daniel leads a deep dive into a new topic - Advanced RAG - covering everything you need to know to be practical &amp; productive.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://graphstuff.fm/episodes/2023-finale-llms-and-knowledge-graphs-throughout-the-year?&amp;utm_campaign=UCGenAI&amp;utm_content=AMS-SrDev-ToFuDev-UCGenAI-Audio-None-GenAI1-GenAI-NonABM&amp;utm_medium=Audio&amp;utm_source=PracticalAI&amp;utm_justglobal=">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. </li><li><a href="https://useplumb.com/">Plumb</a> – <strong>Low-code AI pipeline builder</strong> that helps you build complex AI pipelines fast. Easily create AI pipelines using their node-based editor. Iterate and deploy faster and more reliably than coding by hand, without sacrificing control. </li><li><a href="https://www.backblaze.com/cloud-backup/personal/landing/podcast/practicalai">Backblaze</a> – Unlimited cloud backup for Macs, PCs, and businesses for just $99/year. Easily protect business data through a centrally managed admin. Protect all the data on your machines automatically. Easy to deploy across multiple workstations with various deployment options. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.apple.com/apple-intelligence">Apple Intelligence</a></li><li><a href="https://www.apple.com/newsroom/2024/06/introducing-apple-intelligence-for-iphone-ipad-and-mac">Introducing Apple Intelligence, the personal intelligence system that puts powerful generative models at the core of iPhone, iPad, and Mac</a></li><li><a href="https://techcrunch.com/2024/06/11/the-top-ai-features-apple-announced-at-wwdc-2024">The top AI features Apple announced at WWDC 2024</a></li><li><a href="https://blog.lancedb.com/hybrid-search-combining-bm25-and-semantic-search-for-better-results-with-lan-1358038fe7e6">Hybrid Search: Combining BM25 and Semantic Search for Better Results with Langchain</a></li><li><a href="https://blog.lancedb.com/advanced-rag-precise-zero-shot-dense-retrieval-with-hyde-0946c54dfdcb">Advanced RAG: Precise Zero-Shot Dense Retrieval with HyDE</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel &amp; Chris engage in an impromptu discussion of the state of AI in the enterprise. Then they dive into the recent <em>Apple Intelligence</em> announcement to explore its implications. Finally, Daniel leads a deep dive into a new topic - Advanced RAG - covering everything you need to know to be practical &amp; productive.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://graphstuff.fm/episodes/2023-finale-llms-and-knowledge-graphs-throughout-the-year?&amp;utm_campaign=UCGenAI&amp;utm_content=AMS-SrDev-ToFuDev-UCGenAI-Audio-None-GenAI1-GenAI-NonABM&amp;utm_medium=Audio&amp;utm_source=PracticalAI&amp;utm_justglobal=">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. </li><li><a href="https://useplumb.com/">Plumb</a> – <strong>Low-code AI pipeline builder</strong> that helps you build complex AI pipelines fast. Easily create AI pipelines using their node-based editor. Iterate and deploy faster and more reliably than coding by hand, without sacrificing control. </li><li><a href="https://www.backblaze.com/cloud-backup/personal/landing/podcast/practicalai">Backblaze</a> – Unlimited cloud backup for Macs, PCs, and businesses for just $99/year. Easily protect business data through a centrally managed admin. Protect all the data on your machines automatically. Easy to deploy across multiple workstations with various deployment options. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.apple.com/apple-intelligence">Apple Intelligence</a></li><li><a href="https://www.apple.com/newsroom/2024/06/introducing-apple-intelligence-for-iphone-ipad-and-mac">Introducing Apple Intelligence, the personal intelligence system that puts powerful generative models at the core of iPhone, iPad, and Mac</a></li><li><a href="https://techcrunch.com/2024/06/11/the-top-ai-features-apple-announced-at-wwdc-2024">The top AI features Apple announced at WWDC 2024</a></li><li><a href="https://blog.lancedb.com/hybrid-search-combining-bm25-and-semantic-search-for-better-results-with-lan-1358038fe7e6">Hybrid Search: Combining BM25 and Semantic Search for Better Results with Langchain</a></li><li><a href="https://blog.lancedb.com/advanced-rag-precise-zero-shot-dense-retrieval-with-hyde-0946c54dfdcb">Advanced RAG: Precise Zero-Shot Dense Retrieval with HyDE</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 25 Jun 2024 16:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/b03b373b/c427872b.mp3" length="43532658" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2706</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel &amp; Chris engage in an impromptu discussion of the state of AI in the enterprise. Then they dive into the recent <em>Apple Intelligence</em> announcement to explore its implications. Finally, Daniel leads a deep dive into a new topic - Advanced RAG - covering everything you need to know to be practical &amp; productive.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://graphstuff.fm/episodes/2023-finale-llms-and-knowledge-graphs-throughout-the-year?&amp;utm_campaign=UCGenAI&amp;utm_content=AMS-SrDev-ToFuDev-UCGenAI-Audio-None-GenAI1-GenAI-NonABM&amp;utm_medium=Audio&amp;utm_source=PracticalAI&amp;utm_justglobal=">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. </li><li><a href="https://useplumb.com/">Plumb</a> – <strong>Low-code AI pipeline builder</strong> that helps you build complex AI pipelines fast. Easily create AI pipelines using their node-based editor. Iterate and deploy faster and more reliably than coding by hand, without sacrificing control. </li><li><a href="https://www.backblaze.com/cloud-backup/personal/landing/podcast/practicalai">Backblaze</a> – Unlimited cloud backup for Macs, PCs, and businesses for just $99/year. Easily protect business data through a centrally managed admin. Protect all the data on your machines automatically. Easy to deploy across multiple workstations with various deployment options. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.apple.com/apple-intelligence">Apple Intelligence</a></li><li><a href="https://www.apple.com/newsroom/2024/06/introducing-apple-intelligence-for-iphone-ipad-and-mac">Introducing Apple Intelligence, the personal intelligence system that puts powerful generative models at the core of iPhone, iPad, and Mac</a></li><li><a href="https://techcrunch.com/2024/06/11/the-top-ai-features-apple-announced-at-wwdc-2024">The top AI features Apple announced at WWDC 2024</a></li><li><a href="https://blog.lancedb.com/hybrid-search-combining-bm25-and-semantic-search-for-better-results-with-lan-1358038fe7e6">Hybrid Search: Combining BM25 and Semantic Search for Better Results with Langchain</a></li><li><a href="https://blog.lancedb.com/advanced-rag-precise-zero-shot-dense-retrieval-with-hyde-0946c54dfdcb">Advanced RAG: Precise Zero-Shot Dense Retrieval with HyDE</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    </item>
    <item>
      <title>The perplexities of information retrieval</title>
      <itunes:episode>274</itunes:episode>
      <podcast:episode>274</podcast:episode>
      <itunes:title>The perplexities of information retrieval</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/be091144</link>
      <description>
        <![CDATA[<p>Daniel &amp; Chris sit down with Denis Yarats, Co-founder &amp; CTO at Perplexity, to discuss Perplexity’s sophisticated AI-driven answer engine. Denis outlines some of the deficiencies in search engines, and how Perplexity’s approach to information retrieval improves on traditional search engine systems, with a focus on accuracy and validation of the information provided.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://graphstuff.fm/episodes/2023-finale-llms-and-knowledge-graphs-throughout-the-year?&amp;utm_campaign=UCGenAI&amp;utm_content=AMS-SrDev-ToFuDev-UCGenAI-Audio-None-GenAI1-GenAI-NonABM&amp;utm_medium=Audio&amp;utm_source=PracticalAI&amp;utm_justglobal=">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. </li><li><a href="https://www.backblaze.com/cloud-backup/personal/landing/podcast/practicalai">Backblaze</a> – Unlimited cloud backup for Macs, PCs, and businesses for just $99/year. Easily protect business data through a centrally managed admin. Protect all the data on your machines automatically. Easy to deploy across multiple workstations with various deployment options. </li><li><a href="https://nordvpn.com/practicalai">NordVPN</a> – Get NordVPN 2Y plan + 4 months extra at <a href="https://nordvpn.com/practicalai">nordvpn.com/practicalai</a> It’s risk-free with Nord’s 30-day money-back guarantee. </li></ul><p>Featuring:</p><ul><li>Denis Yarats – <a href="https://www.linkedin.com/in/denisyarats">LinkedIn</a>, <a href="https://x.com/denisyarats">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.perplexity.ai">Perplexity</a></li><li><a href="https://www.perplexity.ai/hub">Perplexity | Blog</a></li><li><a href="https://www.perplexity.ai/hub/getting-started">Perplexity | Getting Started</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel &amp; Chris sit down with Denis Yarats, Co-founder &amp; CTO at Perplexity, to discuss Perplexity’s sophisticated AI-driven answer engine. Denis outlines some of the deficiencies in search engines, and how Perplexity’s approach to information retrieval improves on traditional search engine systems, with a focus on accuracy and validation of the information provided.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://graphstuff.fm/episodes/2023-finale-llms-and-knowledge-graphs-throughout-the-year?&amp;utm_campaign=UCGenAI&amp;utm_content=AMS-SrDev-ToFuDev-UCGenAI-Audio-None-GenAI1-GenAI-NonABM&amp;utm_medium=Audio&amp;utm_source=PracticalAI&amp;utm_justglobal=">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. </li><li><a href="https://www.backblaze.com/cloud-backup/personal/landing/podcast/practicalai">Backblaze</a> – Unlimited cloud backup for Macs, PCs, and businesses for just $99/year. Easily protect business data through a centrally managed admin. Protect all the data on your machines automatically. Easy to deploy across multiple workstations with various deployment options. </li><li><a href="https://nordvpn.com/practicalai">NordVPN</a> – Get NordVPN 2Y plan + 4 months extra at <a href="https://nordvpn.com/practicalai">nordvpn.com/practicalai</a> It’s risk-free with Nord’s 30-day money-back guarantee. </li></ul><p>Featuring:</p><ul><li>Denis Yarats – <a href="https://www.linkedin.com/in/denisyarats">LinkedIn</a>, <a href="https://x.com/denisyarats">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.perplexity.ai">Perplexity</a></li><li><a href="https://www.perplexity.ai/hub">Perplexity | Blog</a></li><li><a href="https://www.perplexity.ai/hub/getting-started">Perplexity | Getting Started</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 19 Jun 2024 12:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2766</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel &amp; Chris sit down with Denis Yarats, Co-founder &amp; CTO at Perplexity, to discuss Perplexity’s sophisticated AI-driven answer engine. Denis outlines some of the deficiencies in search engines, and how Perplexity’s approach to information retrieval improves on traditional search engine systems, with a focus on accuracy and validation of the information provided.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://graphstuff.fm/episodes/2023-finale-llms-and-knowledge-graphs-throughout-the-year?&amp;utm_campaign=UCGenAI&amp;utm_content=AMS-SrDev-ToFuDev-UCGenAI-Audio-None-GenAI1-GenAI-NonABM&amp;utm_medium=Audio&amp;utm_source=PracticalAI&amp;utm_justglobal=">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. </li><li><a href="https://www.backblaze.com/cloud-backup/personal/landing/podcast/practicalai">Backblaze</a> – Unlimited cloud backup for Macs, PCs, and businesses for just $99/year. Easily protect business data through a centrally managed admin. Protect all the data on your machines automatically. Easy to deploy across multiple workstations with various deployment options. </li><li><a href="https://nordvpn.com/practicalai">NordVPN</a> – Get NordVPN 2Y plan + 4 months extra at <a href="https://nordvpn.com/practicalai">nordvpn.com/practicalai</a> It’s risk-free with Nord’s 30-day money-back guarantee. </li></ul><p>Featuring:</p><ul><li>Denis Yarats – <a href="https://www.linkedin.com/in/denisyarats">LinkedIn</a>, <a href="https://x.com/denisyarats">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.perplexity.ai">Perplexity</a></li><li><a href="https://www.perplexity.ai/hub">Perplexity | Blog</a></li><li><a href="https://www.perplexity.ai/hub/getting-started">Perplexity | Getting Started</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/denisyarats" img="https://img.transistorcdn.com/wds12bwTwGZUxX9bhhSgw4Rd-sGtc_YmTnv2EHiKIG8/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lZDNl/YmQ0MWYwZmI5ZGQ1/Y2JlZjhkN2Q4ZTAw/YzkxYy5qcGc.jpg">Denis Yarats</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>Using edge models to find sensitive data</title>
      <itunes:episode>273</itunes:episode>
      <podcast:episode>273</podcast:episode>
      <itunes:title>Using edge models to find sensitive data</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/2a3a610c</link>
      <description>
        <![CDATA[<p>We’ve all heard about breaches of privacy and leaks of private health information (PHI). For healthcare providers and those storing this data, knowing where all the sensitive data is stored is non-trivial. Ramin, from Tausight, joins us to discuss how they have deploy edge AI models to help company search through billions of records for PHI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://graphstuff.fm/episodes/2023-finale-llms-and-knowledge-graphs-throughout-the-year?&amp;utm_campaign=UCGenAI&amp;utm_content=AMS-SrDev-ToFuDev-UCGenAI-Audio-None-GenAI1-GenAI-NonABM&amp;utm_medium=Audio&amp;utm_source=PracticalAI&amp;utm_justglobal=">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. </li><li><a href="https://www.backblaze.com/cloud-backup/personal/landing/podcast/practicalai">Backblaze</a> – Unlimited cloud backup for Macs, PCs, and businesses for just $99/year. Easily protect business data through a centrally managed admin. Protect all the data on your machines automatically. Easy to deploy across multiple workstations with various deployment options. </li></ul><p>Featuring:</p><ul><li>Ramin Mohammadi – <a href="https://github.com/raminmohammadi">GitHub</a>, <a href="https://www.linkedin.com/in/ramin-mohammadi-ml">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.tausight.com/">Tausight</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We’ve all heard about breaches of privacy and leaks of private health information (PHI). For healthcare providers and those storing this data, knowing where all the sensitive data is stored is non-trivial. Ramin, from Tausight, joins us to discuss how they have deploy edge AI models to help company search through billions of records for PHI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://graphstuff.fm/episodes/2023-finale-llms-and-knowledge-graphs-throughout-the-year?&amp;utm_campaign=UCGenAI&amp;utm_content=AMS-SrDev-ToFuDev-UCGenAI-Audio-None-GenAI1-GenAI-NonABM&amp;utm_medium=Audio&amp;utm_source=PracticalAI&amp;utm_justglobal=">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. </li><li><a href="https://www.backblaze.com/cloud-backup/personal/landing/podcast/practicalai">Backblaze</a> – Unlimited cloud backup for Macs, PCs, and businesses for just $99/year. Easily protect business data through a centrally managed admin. Protect all the data on your machines automatically. Easy to deploy across multiple workstations with various deployment options. </li></ul><p>Featuring:</p><ul><li>Ramin Mohammadi – <a href="https://github.com/raminmohammadi">GitHub</a>, <a href="https://www.linkedin.com/in/ramin-mohammadi-ml">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.tausight.com/">Tausight</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Thu, 13 Jun 2024 12:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/2a3a610c/211363d4.mp3" length="37162524" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2308</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We’ve all heard about breaches of privacy and leaks of private health information (PHI). For healthcare providers and those storing this data, knowing where all the sensitive data is stored is non-trivial. Ramin, from Tausight, joins us to discuss how they have deploy edge AI models to help company search through billions of records for PHI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://graphstuff.fm/episodes/2023-finale-llms-and-knowledge-graphs-throughout-the-year?&amp;utm_campaign=UCGenAI&amp;utm_content=AMS-SrDev-ToFuDev-UCGenAI-Audio-None-GenAI1-GenAI-NonABM&amp;utm_medium=Audio&amp;utm_source=PracticalAI&amp;utm_justglobal=">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. </li><li><a href="https://www.backblaze.com/cloud-backup/personal/landing/podcast/practicalai">Backblaze</a> – Unlimited cloud backup for Macs, PCs, and businesses for just $99/year. Easily protect business data through a centrally managed admin. Protect all the data on your machines automatically. Easy to deploy across multiple workstations with various deployment options. </li></ul><p>Featuring:</p><ul><li>Ramin Mohammadi – <a href="https://github.com/raminmohammadi">GitHub</a>, <a href="https://www.linkedin.com/in/ramin-mohammadi-ml">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.tausight.com/">Tausight</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/raminmohammadi" img="https://img.transistorcdn.com/4xXQRBPGuWFvhEB5BAL45XbD8Rb_ZGL6IS5S9hMiW9o/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lOTBk/ZDAxMWNlOTMzMzFi/NmUwZWEyNGRhN2Ji/ZDUzZS5qcGVn.jpg">Ramin Mohammadi</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    </item>
    <item>
      <title>Rise of the AI PC &amp; local LLMs</title>
      <itunes:episode>272</itunes:episode>
      <podcast:episode>272</podcast:episode>
      <itunes:title>Rise of the AI PC &amp; local LLMs</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2449</guid>
      <link>https://share.transistor.fm/s/66087536</link>
      <description>
        <![CDATA[<p>We’ve seen a rise in interest recently and a number of major announcements related to local LLMs and AI PCs. NVIDIA, Apple, and Intel are getting into this along with models like the Phi family from Microsoft. In this episode, we dig into local AI tooling, frameworks, and optimizations to help you navigate this AI niche, and we talk about how this might impact AI adoption in the longer term.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://ladderlife.com/changelog">Ladder Life Insurance</a> – <strong>100% digital — no doctors, no needles, no paperwork.</strong> Don’t put it off until the very last minute to get term coverage life insurance through Ladder. Find out if you’re instantly approved. They’re rated A and A plus. Life insurance costs more as you age, now’s the time to cross it off your list. </li><li><a href="https://graphstuff.fm/episodes/2023-finale-llms-and-knowledge-graphs-throughout-the-year?&amp;utm_campaign=UCGenAI&amp;utm_content=AMS-SrDev-ToFuDev-UCGenAI-Audio-None-GenAI1-GenAI-NonABM&amp;utm_medium=Audio&amp;utm_source=PracticalAI&amp;utm_justglobal=">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.ollama.com/">Ollama</a></li><li><a href="https://lmstudio.ai">LM Studio</a></li><li><a href="https://github.com/ggerganov/llama.cpp">llama.cpp</a></li><li><a href="https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html">OpenVINO</a></li><li><a href="https://mlcommons.org/2024/01/mlperfclientwg/">MLPerf client working group</a></li><li><a href="https://datasciencedojo.com/blog/small-language-models-phi-3/">Article - 5 top small language models</a></li><li><a href="https://towardsdatascience.com/4-bit-quantization-with-gptq-36b0f4f02c34">GPTQ article</a></li><li><a href="https://www.maartengrootendorst.com/blog/quantization/">Article - Which quantization method is right for you</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We’ve seen a rise in interest recently and a number of major announcements related to local LLMs and AI PCs. NVIDIA, Apple, and Intel are getting into this along with models like the Phi family from Microsoft. In this episode, we dig into local AI tooling, frameworks, and optimizations to help you navigate this AI niche, and we talk about how this might impact AI adoption in the longer term.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://ladderlife.com/changelog">Ladder Life Insurance</a> – <strong>100% digital — no doctors, no needles, no paperwork.</strong> Don’t put it off until the very last minute to get term coverage life insurance through Ladder. Find out if you’re instantly approved. They’re rated A and A plus. Life insurance costs more as you age, now’s the time to cross it off your list. </li><li><a href="https://graphstuff.fm/episodes/2023-finale-llms-and-knowledge-graphs-throughout-the-year?&amp;utm_campaign=UCGenAI&amp;utm_content=AMS-SrDev-ToFuDev-UCGenAI-Audio-None-GenAI1-GenAI-NonABM&amp;utm_medium=Audio&amp;utm_source=PracticalAI&amp;utm_justglobal=">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.ollama.com/">Ollama</a></li><li><a href="https://lmstudio.ai">LM Studio</a></li><li><a href="https://github.com/ggerganov/llama.cpp">llama.cpp</a></li><li><a href="https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html">OpenVINO</a></li><li><a href="https://mlcommons.org/2024/01/mlperfclientwg/">MLPerf client working group</a></li><li><a href="https://datasciencedojo.com/blog/small-language-models-phi-3/">Article - 5 top small language models</a></li><li><a href="https://towardsdatascience.com/4-bit-quantization-with-gptq-36b0f4f02c34">GPTQ article</a></li><li><a href="https://www.maartengrootendorst.com/blog/quantization/">Article - Which quantization method is right for you</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 04 Jun 2024 14:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/66087536/5f42ce2d.mp3" length="34393465" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2135</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We’ve seen a rise in interest recently and a number of major announcements related to local LLMs and AI PCs. NVIDIA, Apple, and Intel are getting into this along with models like the Phi family from Microsoft. In this episode, we dig into local AI tooling, frameworks, and optimizations to help you navigate this AI niche, and we talk about how this might impact AI adoption in the longer term.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://ladderlife.com/changelog">Ladder Life Insurance</a> – <strong>100% digital — no doctors, no needles, no paperwork.</strong> Don’t put it off until the very last minute to get term coverage life insurance through Ladder. Find out if you’re instantly approved. They’re rated A and A plus. Life insurance costs more as you age, now’s the time to cross it off your list. </li><li><a href="https://graphstuff.fm/episodes/2023-finale-llms-and-knowledge-graphs-throughout-the-year?&amp;utm_campaign=UCGenAI&amp;utm_content=AMS-SrDev-ToFuDev-UCGenAI-Audio-None-GenAI1-GenAI-NonABM&amp;utm_medium=Audio&amp;utm_source=PracticalAI&amp;utm_justglobal=">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.ollama.com/">Ollama</a></li><li><a href="https://lmstudio.ai">LM Studio</a></li><li><a href="https://github.com/ggerganov/llama.cpp">llama.cpp</a></li><li><a href="https://www.intel.com/content/www/us/en/developer/tools/openvino-toolkit/overview.html">OpenVINO</a></li><li><a href="https://mlcommons.org/2024/01/mlperfclientwg/">MLPerf client working group</a></li><li><a href="https://datasciencedojo.com/blog/small-language-models-phi-3/">Article - 5 top small language models</a></li><li><a href="https://towardsdatascience.com/4-bit-quantization-with-gptq-36b0f4f02c34">GPTQ article</a></li><li><a href="https://www.maartengrootendorst.com/blog/quantization/">Article - Which quantization method is right for you</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    </item>
    <item>
      <title>AI in the U.S. Congress</title>
      <itunes:episode>271</itunes:episode>
      <podcast:episode>271</podcast:episode>
      <itunes:title>AI in the U.S. Congress</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2442</guid>
      <link>https://share.transistor.fm/s/8559b2a8</link>
      <description>
        <![CDATA[<p>At the age of 72, U.S. Representative Don Beyer of Virginia enrolled at <a href="https://www.gmu.edu">GMU</a> to pursue a Master’s degree in C.S. with a concentration in Machine Learning.</p><p>Rep. Beyer is Vice Chair of the bipartisan Artificial Intelligence Caucus &amp; Vice Chair of the NDC’s AI Working Group. He is the author of the AI Foundation Model Transparency Act &amp; a lead cosponsor of the CREATE AI Act, the Federal Artificial Intelligence Risk Management Act &amp; the Artificial Intelligence Environmental Impacts Act.</p><p>We hope you tune into this inspiring, nonpartisan conversation with Rep. Beyer about his decision to dive into the deep end of the AI pool &amp; his leadership in bringing that expertise to Capitol Hill.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Don Beyer – <a href="https://www.linkedin.com/in/don-beyer-6b444b4">LinkedIn</a>, <a href="https://x.com/RepDonBeyer">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://beyer.house.gov">U.S. Representative Don Beyer</a></li><li><a href="https://www.gmu.edu/news/2023-04/congressman-don-beyer-mason-student-and-lifelong-learner">Congressman Don Beyer, Mason student and lifelong learner</a></li><li><a href="https://beyer.house.gov/news/documentsingle.aspx?DocumentID=6017">Beyer Statement On President Biden’s AI Executive Order</a></li><li><a href="https://beyer.house.gov/news/documentsingle.aspx?DocumentID=6082">Beyer Appointed To Bipartisan Task Force On Artificial Intelligence</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>At the age of 72, U.S. Representative Don Beyer of Virginia enrolled at <a href="https://www.gmu.edu">GMU</a> to pursue a Master’s degree in C.S. with a concentration in Machine Learning.</p><p>Rep. Beyer is Vice Chair of the bipartisan Artificial Intelligence Caucus &amp; Vice Chair of the NDC’s AI Working Group. He is the author of the AI Foundation Model Transparency Act &amp; a lead cosponsor of the CREATE AI Act, the Federal Artificial Intelligence Risk Management Act &amp; the Artificial Intelligence Environmental Impacts Act.</p><p>We hope you tune into this inspiring, nonpartisan conversation with Rep. Beyer about his decision to dive into the deep end of the AI pool &amp; his leadership in bringing that expertise to Capitol Hill.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Don Beyer – <a href="https://www.linkedin.com/in/don-beyer-6b444b4">LinkedIn</a>, <a href="https://x.com/RepDonBeyer">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://beyer.house.gov">U.S. Representative Don Beyer</a></li><li><a href="https://www.gmu.edu/news/2023-04/congressman-don-beyer-mason-student-and-lifelong-learner">Congressman Don Beyer, Mason student and lifelong learner</a></li><li><a href="https://beyer.house.gov/news/documentsingle.aspx?DocumentID=6017">Beyer Statement On President Biden’s AI Executive Order</a></li><li><a href="https://beyer.house.gov/news/documentsingle.aspx?DocumentID=6082">Beyer Appointed To Bipartisan Task Force On Artificial Intelligence</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 29 May 2024 10:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/8559b2a8/fd242e2b.mp3" length="39457978" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2448</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>At the age of 72, U.S. Representative Don Beyer of Virginia enrolled at <a href="https://www.gmu.edu">GMU</a> to pursue a Master’s degree in C.S. with a concentration in Machine Learning.</p><p>Rep. Beyer is Vice Chair of the bipartisan Artificial Intelligence Caucus &amp; Vice Chair of the NDC’s AI Working Group. He is the author of the AI Foundation Model Transparency Act &amp; a lead cosponsor of the CREATE AI Act, the Federal Artificial Intelligence Risk Management Act &amp; the Artificial Intelligence Environmental Impacts Act.</p><p>We hope you tune into this inspiring, nonpartisan conversation with Rep. Beyer about his decision to dive into the deep end of the AI pool &amp; his leadership in bringing that expertise to Capitol Hill.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Don Beyer – <a href="https://www.linkedin.com/in/don-beyer-6b444b4">LinkedIn</a>, <a href="https://x.com/RepDonBeyer">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://beyer.house.gov">U.S. Representative Don Beyer</a></li><li><a href="https://www.gmu.edu/news/2023-04/congressman-don-beyer-mason-student-and-lifelong-learner">Congressman Don Beyer, Mason student and lifelong learner</a></li><li><a href="https://beyer.house.gov/news/documentsingle.aspx?DocumentID=6017">Beyer Statement On President Biden’s AI Executive Order</a></li><li><a href="https://beyer.house.gov/news/documentsingle.aspx?DocumentID=6082">Beyer Appointed To Bipartisan Task Force On Artificial Intelligence</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/repdonbeyer" img="https://img.transistorcdn.com/ObovJC2jWA3pk7quKNU3a-xSzT5J7pG6De7yxSaRf0E/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zN2M3/NmJjNzZmOWYxYmM3/YzUyOTA1ZGE2NTk5/OWU2ZC5qcGc.jpg">Don Beyer</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>First impressions of GPT-4o</title>
      <itunes:episode>270</itunes:episode>
      <podcast:episode>270</podcast:episode>
      <itunes:title>First impressions of GPT-4o</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/bdabf9ac</link>
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        <![CDATA[<p>Daniel &amp; Chris share their first impressions of OpenAI’s newest LLM: GPT-4o and Daniel tries to bring the model into the conversation with humorously mixed results. Together, they explore the implications of Omni’s new feature set - the speed, the voice interface, and the new multimodal capabilities.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://ladderlife.com/changelog">Ladder Life Insurance</a> – <strong>100% digital — no doctors, no needles, no paperwork.</strong> Don’t put it off until the very last minute to get term coverage life insurance through Ladder. Find out if you’re instantly approved. They’re rated A and A plus. Life insurance costs more as you age, now’s the time to cross it off your list. </li><li><a href="https://graphstuff.fm/episodes/2023-finale-llms-and-knowledge-graphs-throughout-the-year?&amp;utm_campaign=UCGenAI&amp;utm_content=AMS-SrDev-ToFuDev-UCGenAI-Audio-None-GenAI1-GenAI-NonABM&amp;utm_medium=Audio&amp;utm_source=PracticalAI&amp;utm_justglobal=">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. </li></ul><p>Featuring:</p><ul><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://openai.com/index/hello-gpt-4o">Hello GPT-4o</a></li><li><a href="https://www.ai.engineer/worldsfair">AI Engineer World’s Fair</a></li><li><a href="https://www.aiqualityconference.com">AIQCON - the AI Quality Conference</a></li><li><a href="https://www.amazon.com/Brave-New-Words-Revolutionize-Education/dp/0593656954">Brave New Words: How AI Will Revolutionize Education (and Why That’s a Good Thing)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel &amp; Chris share their first impressions of OpenAI’s newest LLM: GPT-4o and Daniel tries to bring the model into the conversation with humorously mixed results. Together, they explore the implications of Omni’s new feature set - the speed, the voice interface, and the new multimodal capabilities.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://ladderlife.com/changelog">Ladder Life Insurance</a> – <strong>100% digital — no doctors, no needles, no paperwork.</strong> Don’t put it off until the very last minute to get term coverage life insurance through Ladder. Find out if you’re instantly approved. They’re rated A and A plus. Life insurance costs more as you age, now’s the time to cross it off your list. </li><li><a href="https://graphstuff.fm/episodes/2023-finale-llms-and-knowledge-graphs-throughout-the-year?&amp;utm_campaign=UCGenAI&amp;utm_content=AMS-SrDev-ToFuDev-UCGenAI-Audio-None-GenAI1-GenAI-NonABM&amp;utm_medium=Audio&amp;utm_source=PracticalAI&amp;utm_justglobal=">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. </li></ul><p>Featuring:</p><ul><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://openai.com/index/hello-gpt-4o">Hello GPT-4o</a></li><li><a href="https://www.ai.engineer/worldsfair">AI Engineer World’s Fair</a></li><li><a href="https://www.aiqualityconference.com">AIQCON - the AI Quality Conference</a></li><li><a href="https://www.amazon.com/Brave-New-Words-Revolutionize-Education/dp/0593656954">Brave New Words: How AI Will Revolutionize Education (and Why That’s a Good Thing)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 21 May 2024 20:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/bdabf9ac/c566e748.mp3" length="41966015" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2608</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel &amp; Chris share their first impressions of OpenAI’s newest LLM: GPT-4o and Daniel tries to bring the model into the conversation with humorously mixed results. Together, they explore the implications of Omni’s new feature set - the speed, the voice interface, and the new multimodal capabilities.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://ladderlife.com/changelog">Ladder Life Insurance</a> – <strong>100% digital — no doctors, no needles, no paperwork.</strong> Don’t put it off until the very last minute to get term coverage life insurance through Ladder. Find out if you’re instantly approved. They’re rated A and A plus. Life insurance costs more as you age, now’s the time to cross it off your list. </li><li><a href="https://graphstuff.fm/episodes/2023-finale-llms-and-knowledge-graphs-throughout-the-year?&amp;utm_campaign=UCGenAI&amp;utm_content=AMS-SrDev-ToFuDev-UCGenAI-Audio-None-GenAI1-GenAI-NonABM&amp;utm_medium=Audio&amp;utm_source=PracticalAI&amp;utm_justglobal=">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. </li></ul><p>Featuring:</p><ul><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://openai.com/index/hello-gpt-4o">Hello GPT-4o</a></li><li><a href="https://www.ai.engineer/worldsfair">AI Engineer World’s Fair</a></li><li><a href="https://www.aiqualityconference.com">AIQCON - the AI Quality Conference</a></li><li><a href="https://www.amazon.com/Brave-New-Words-Revolutionize-Education/dp/0593656954">Brave New Words: How AI Will Revolutionize Education (and Why That’s a Good Thing)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
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    <item>
      <title>Full-stack approach for effective AI agents</title>
      <itunes:episode>269</itunes:episode>
      <podcast:episode>269</podcast:episode>
      <itunes:title>Full-stack approach for effective AI agents</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2429</guid>
      <link>https://share.transistor.fm/s/b5914d1d</link>
      <description>
        <![CDATA[<p>There’s a lot of hype about AI agents right now, but developing robust agents isn’t yet a reality in general. Imbue is leading the way towards more robust agents by taking a full-stack approach; from hardware innovations through to user interface. In this episode, Josh, Imbue’s CTO, tell us more about their approach and some of what they have learned along the way.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://graphstuff.fm/episodes/2023-finale-llms-and-knowledge-graphs-throughout-the-year?&amp;utm_campaign=UCGenAI&amp;utm_content=AMS-SrDev-ToFuDev-UCGenAI-Audio-None-GenAI1-GenAI-NonABM&amp;utm_medium=Audio&amp;utm_source=PracticalAI&amp;utm_justglobal=">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Josh Albrecht – <a href="https://www.linkedin.com/in/joshalbrecht">LinkedIn</a>, <a href="https://x.com/joshalbrecht">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://arxiv.org/abs/2306.08055">CARBS (Imbue’s cost-aware hyperparameter optimizer)</a></li><li><a href="https://arxiv.org/abs/2303.15438">Imbue paper on the stepwise nature of self-supervised learning</a></li><li><a href="https://arxiv.org/abs/2310.17813">A paper on initialization/feature learning co-authored by Jamie Simon, a member of Imbue’s technical team</a></li><li><a href="https://imbue.com/">Imbue</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>There’s a lot of hype about AI agents right now, but developing robust agents isn’t yet a reality in general. Imbue is leading the way towards more robust agents by taking a full-stack approach; from hardware innovations through to user interface. In this episode, Josh, Imbue’s CTO, tell us more about their approach and some of what they have learned along the way.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://graphstuff.fm/episodes/2023-finale-llms-and-knowledge-graphs-throughout-the-year?&amp;utm_campaign=UCGenAI&amp;utm_content=AMS-SrDev-ToFuDev-UCGenAI-Audio-None-GenAI1-GenAI-NonABM&amp;utm_medium=Audio&amp;utm_source=PracticalAI&amp;utm_justglobal=">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Josh Albrecht – <a href="https://www.linkedin.com/in/joshalbrecht">LinkedIn</a>, <a href="https://x.com/joshalbrecht">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://arxiv.org/abs/2306.08055">CARBS (Imbue’s cost-aware hyperparameter optimizer)</a></li><li><a href="https://arxiv.org/abs/2303.15438">Imbue paper on the stepwise nature of self-supervised learning</a></li><li><a href="https://arxiv.org/abs/2310.17813">A paper on initialization/feature learning co-authored by Jamie Simon, a member of Imbue’s technical team</a></li><li><a href="https://imbue.com/">Imbue</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 15 May 2024 10:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2822</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>There’s a lot of hype about AI agents right now, but developing robust agents isn’t yet a reality in general. Imbue is leading the way towards more robust agents by taking a full-stack approach; from hardware innovations through to user interface. In this episode, Josh, Imbue’s CTO, tell us more about their approach and some of what they have learned along the way.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://graphstuff.fm/episodes/2023-finale-llms-and-knowledge-graphs-throughout-the-year?&amp;utm_campaign=UCGenAI&amp;utm_content=AMS-SrDev-ToFuDev-UCGenAI-Audio-None-GenAI1-GenAI-NonABM&amp;utm_medium=Audio&amp;utm_source=PracticalAI&amp;utm_justglobal=">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Josh Albrecht – <a href="https://www.linkedin.com/in/joshalbrecht">LinkedIn</a>, <a href="https://x.com/joshalbrecht">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://arxiv.org/abs/2306.08055">CARBS (Imbue’s cost-aware hyperparameter optimizer)</a></li><li><a href="https://arxiv.org/abs/2303.15438">Imbue paper on the stepwise nature of self-supervised learning</a></li><li><a href="https://arxiv.org/abs/2310.17813">A paper on initialization/feature learning co-authored by Jamie Simon, a member of Imbue’s technical team</a></li><li><a href="https://imbue.com/">Imbue</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/joshalbrecht" img="https://img.transistorcdn.com/jtU0VfnCGn22FsUrKVRhCwGYvpRG4AhAEsMpq19xNcs/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81Zjdk/Yzg4MmNiOTQ3MWU4/OGQ3NTBkZThmYWQw/M2M3ZC5qcGc.jpg">Josh Albrecht</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/b5914d1d/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Autonomous fighter jets?!</title>
      <itunes:episode>268</itunes:episode>
      <podcast:episode>268</podcast:episode>
      <itunes:title>Autonomous fighter jets?!</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2425</guid>
      <link>https://share.transistor.fm/s/9eebe810</link>
      <description>
        <![CDATA[<p>Yep, you heard that right. Autonomous fighter jets are in the news. Chris and Daniel discuss a modified F-16 known as the X-62A VISTA and autonomous vehicles/ systems more generally. They also comment on the Linux Foundation’s new Open Platform for Enterprise AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://ladderlife.com/changelog">Ladder Life Insurance</a> – <strong>100% digital — no doctors, no needles, no paperwork.</strong> Don’t put it off until the very last minute to get term coverage life insurance through Ladder. Find out if you’re instantly approved. They’re rated A and A plus. Life insurance costs more as you age, now’s the time to cross it off your list. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://defensescoop.com/2024/04/17/darpa-ace-ai-dogfighting-flight-tests-f16/">Pentagon takes AI dogfighting to next level in real-world flight tests against human F-16 pilot</a></li><li><a href="https://www.flightglobal.com/fixed-wing/top-us-air-force-official-rides-in-front-seat-of-autonomous-f-16/158152.article">Top US Air Force official rides in front seat of autonomous F-16</a></li><li><a href="https://opea.dev/">Open Platform for Enterprise AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Yep, you heard that right. Autonomous fighter jets are in the news. Chris and Daniel discuss a modified F-16 known as the X-62A VISTA and autonomous vehicles/ systems more generally. They also comment on the Linux Foundation’s new Open Platform for Enterprise AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://ladderlife.com/changelog">Ladder Life Insurance</a> – <strong>100% digital — no doctors, no needles, no paperwork.</strong> Don’t put it off until the very last minute to get term coverage life insurance through Ladder. Find out if you’re instantly approved. They’re rated A and A plus. Life insurance costs more as you age, now’s the time to cross it off your list. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://defensescoop.com/2024/04/17/darpa-ace-ai-dogfighting-flight-tests-f16/">Pentagon takes AI dogfighting to next level in real-world flight tests against human F-16 pilot</a></li><li><a href="https://www.flightglobal.com/fixed-wing/top-us-air-force-official-rides-in-front-seat-of-autonomous-f-16/158152.article">Top US Air Force official rides in front seat of autonomous F-16</a></li><li><a href="https://opea.dev/">Open Platform for Enterprise AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 08 May 2024 15:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/9eebe810/ddc1fe41.mp3" length="39779830" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2471</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Yep, you heard that right. Autonomous fighter jets are in the news. Chris and Daniel discuss a modified F-16 known as the X-62A VISTA and autonomous vehicles/ systems more generally. They also comment on the Linux Foundation’s new Open Platform for Enterprise AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://ladderlife.com/changelog">Ladder Life Insurance</a> – <strong>100% digital — no doctors, no needles, no paperwork.</strong> Don’t put it off until the very last minute to get term coverage life insurance through Ladder. Find out if you’re instantly approved. They’re rated A and A plus. Life insurance costs more as you age, now’s the time to cross it off your list. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://defensescoop.com/2024/04/17/darpa-ace-ai-dogfighting-flight-tests-f16/">Pentagon takes AI dogfighting to next level in real-world flight tests against human F-16 pilot</a></li><li><a href="https://www.flightglobal.com/fixed-wing/top-us-air-force-official-rides-in-front-seat-of-autonomous-f-16/158152.article">Top US Air Force official rides in front seat of autonomous F-16</a></li><li><a href="https://opea.dev/">Open Platform for Enterprise AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/9eebe810/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Private, open source chat UIs</title>
      <itunes:episode>267</itunes:episode>
      <podcast:episode>267</podcast:episode>
      <itunes:title>Private, open source chat UIs</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2419</guid>
      <link>https://share.transistor.fm/s/a422b8c2</link>
      <description>
        <![CDATA[<p>We recently gathered some Practical AI listeners for a live webinar with Danny from LibreChat to discuss the future of private, open source chat UIs. During the discussion we hear about the motivations behind LibreChat, why enterprise users are hosting their own chat UIs, and how Danny (and the LibreChat community) is creating amazing features (like RAG and plugins).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Danny Avila – <a href="https://x.com/lgtm_hbu">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://tinyurl.com/genai-mastery3">Register for our next webinar (similar to this one) focused on multimodal AI</a></li><li><a href="https://github.com/danny-avila/LibreChat">LibreChat</a></li><li><a href="https://www.predictionguard.com/">Prediction Guard</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We recently gathered some Practical AI listeners for a live webinar with Danny from LibreChat to discuss the future of private, open source chat UIs. During the discussion we hear about the motivations behind LibreChat, why enterprise users are hosting their own chat UIs, and how Danny (and the LibreChat community) is creating amazing features (like RAG and plugins).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Danny Avila – <a href="https://x.com/lgtm_hbu">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://tinyurl.com/genai-mastery3">Register for our next webinar (similar to this one) focused on multimodal AI</a></li><li><a href="https://github.com/danny-avila/LibreChat">LibreChat</a></li><li><a href="https://www.predictionguard.com/">Prediction Guard</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 30 Apr 2024 16:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/a422b8c2/ab8b5227.mp3" length="37172312" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2305</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We recently gathered some Practical AI listeners for a live webinar with Danny from LibreChat to discuss the future of private, open source chat UIs. During the discussion we hear about the motivations behind LibreChat, why enterprise users are hosting their own chat UIs, and how Danny (and the LibreChat community) is creating amazing features (like RAG and plugins).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Danny Avila – <a href="https://x.com/lgtm_hbu">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://tinyurl.com/genai-mastery3">Register for our next webinar (similar to this one) focused on multimodal AI</a></li><li><a href="https://github.com/danny-avila/LibreChat">LibreChat</a></li><li><a href="https://www.predictionguard.com/">Prediction Guard</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/danny-avila" img="https://img.transistorcdn.com/cfYMdkSszZlM4MJn_t4LCaeHeCcPpXbnVFE7wSxUjuI/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yMzEx/ZTEwMTRiNTZkMjM1/ZWRlYzIzM2MwZjU1/MWUyOS5qcGVn.jpg">Danny Avila</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/a422b8c2/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Mamba &amp; Jamba</title>
      <itunes:episode>266</itunes:episode>
      <podcast:episode>266</podcast:episode>
      <itunes:title>Mamba &amp; Jamba</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2412</guid>
      <link>https://share.transistor.fm/s/ab7644a6</link>
      <description>
        <![CDATA[<p>First there was Mamba… now there is Jamba from AI21. This is a model that combines the best non-transformer goodness of Mamba with good ‘ol attention layers. This results in a highly performant and efficient model that AI21 has open sourced! We hear all about it (along with a variety of other LLM things) from AI21’s co-founder Yoav.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Yoav Shoham – <a href="https://www.linkedin.com/in/yoavshoham">LinkedIn</a>, <a href="https://x.com/yshoham">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.ai21.com/jamba">Jamba - A Groundbreaking SSM - Transformer Open Model</a></li><li><a href="https://www.ai21.com/">AI21 Labs</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>First there was Mamba… now there is Jamba from AI21. This is a model that combines the best non-transformer goodness of Mamba with good ‘ol attention layers. This results in a highly performant and efficient model that AI21 has open sourced! We hear all about it (along with a variety of other LLM things) from AI21’s co-founder Yoav.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Yoav Shoham – <a href="https://www.linkedin.com/in/yoavshoham">LinkedIn</a>, <a href="https://x.com/yshoham">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.ai21.com/jamba">Jamba - A Groundbreaking SSM - Transformer Open Model</a></li><li><a href="https://www.ai21.com/">AI21 Labs</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 24 Apr 2024 11:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/ab7644a6/22b07c1a.mp3" length="39852756" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2473</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>First there was Mamba… now there is Jamba from AI21. This is a model that combines the best non-transformer goodness of Mamba with good ‘ol attention layers. This results in a highly performant and efficient model that AI21 has open sourced! We hear all about it (along with a variety of other LLM things) from AI21’s co-founder Yoav.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Yoav Shoham – <a href="https://www.linkedin.com/in/yoavshoham">LinkedIn</a>, <a href="https://x.com/yshoham">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.ai21.com/jamba">Jamba - A Groundbreaking SSM - Transformer Open Model</a></li><li><a href="https://www.ai21.com/">AI21 Labs</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/yoavshoham" img="https://img.transistorcdn.com/p-mjFAYmWCaEr8TGv8YdakmAIsGyNjpL_Wlnderl0WM/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85YmM2/N2MwZmY2ZGE1YjY0/YjNjNzA4NjNhYWNl/ZDE1Zi5qcGVn.jpg">Yoav Shoham</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/ab7644a6/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Udio &amp; the age of multi-modal AI</title>
      <itunes:episode>265</itunes:episode>
      <podcast:episode>265</podcast:episode>
      <itunes:title>Udio &amp; the age of multi-modal AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2401</guid>
      <link>https://share.transistor.fm/s/e0bd1784</link>
      <description>
        <![CDATA[<p>2024 promises to be the year of multi-modal AI, and we are already seeing some amazing things. In this “fully connected” episode, Chris and Daniel explore the new Udio product/service for generating music. Then they dig into the differences between recent multi-modal efforts and more “traditional” ways of combining data modalities.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.udio.com/">Udio</a></li><li><a href="https://openai.com/research/clip">CLIP</a></li><li><a href="https://arxiv.org/abs/2206.08657">BridgeTower</a></li><li><a href="https://llava-vl.github.io/">LLaVA</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>2024 promises to be the year of multi-modal AI, and we are already seeing some amazing things. In this “fully connected” episode, Chris and Daniel explore the new Udio product/service for generating music. Then they dig into the differences between recent multi-modal efforts and more “traditional” ways of combining data modalities.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.udio.com/">Udio</a></li><li><a href="https://openai.com/research/clip">CLIP</a></li><li><a href="https://arxiv.org/abs/2206.08657">BridgeTower</a></li><li><a href="https://llava-vl.github.io/">LLaVA</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 16 Apr 2024 14:20:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/e0bd1784/3a615bf2.mp3" length="37545798" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2332</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>2024 promises to be the year of multi-modal AI, and we are already seeing some amazing things. In this “fully connected” episode, Chris and Daniel explore the new Udio product/service for generating music. Then they dig into the differences between recent multi-modal efforts and more “traditional” ways of combining data modalities.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.udio.com/">Udio</a></li><li><a href="https://openai.com/research/clip">CLIP</a></li><li><a href="https://arxiv.org/abs/2206.08657">BridgeTower</a></li><li><a href="https://llava-vl.github.io/">LLaVA</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/e0bd1784/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>RAG continues to rise</title>
      <itunes:episode>264</itunes:episode>
      <podcast:episode>264</podcast:episode>
      <itunes:title>RAG continues to rise</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2391</guid>
      <link>https://share.transistor.fm/s/e70550d7</link>
      <description>
        <![CDATA[<p>Daniel &amp; Chris delight in conversation with “the funniest guy in AI”, Demetrios Brinkmann. Together they explore the results of the MLOps Community’s latest survey. They also preview the upcoming <a href="https://www.aiqualityconference.com">AI Quality Conference</a>.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://thehackermindset.com">The Hacker Mindset</a> – “The Hacker Mindset” written by Garrett Gee, a seasoned white hat hacker with over 20 years of experience, is available for pre-order now. This book reveals the secrets of white hat hacking and how you can apply them to overcome obstacles and achieve your goals. In a world where hacking often gets a bad rap, this book shows you the white hat side – the side focused on innovation, problem-solving, and ethical principles. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Demetrios Brinkmann – <a href="https://x.com/Dpbrinkm">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://linktr.ee/mlopscommunity">MLOps Community</a></li><li><a href="https://www.aiqualityconference.com">AI Quality Conference</a></li><li><a href="https://hq.yougot.us/primary/WebInterview/3AW6LW5D/Start">Evaluation Survey</a></li><li><a href="https://home.mlops.community/home/videos/a-survey-of-production-rag-pain-points-and-solutions">RAG failover talk from Jerry Lui</a></li><li><a href="https://www.youtube.com/watch?v=g6WT85gIsE8">Prompt Templates the Song</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel &amp; Chris delight in conversation with “the funniest guy in AI”, Demetrios Brinkmann. Together they explore the results of the MLOps Community’s latest survey. They also preview the upcoming <a href="https://www.aiqualityconference.com">AI Quality Conference</a>.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://thehackermindset.com">The Hacker Mindset</a> – “The Hacker Mindset” written by Garrett Gee, a seasoned white hat hacker with over 20 years of experience, is available for pre-order now. This book reveals the secrets of white hat hacking and how you can apply them to overcome obstacles and achieve your goals. In a world where hacking often gets a bad rap, this book shows you the white hat side – the side focused on innovation, problem-solving, and ethical principles. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Demetrios Brinkmann – <a href="https://x.com/Dpbrinkm">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://linktr.ee/mlopscommunity">MLOps Community</a></li><li><a href="https://www.aiqualityconference.com">AI Quality Conference</a></li><li><a href="https://hq.yougot.us/primary/WebInterview/3AW6LW5D/Start">Evaluation Survey</a></li><li><a href="https://home.mlops.community/home/videos/a-survey-of-production-rag-pain-points-and-solutions">RAG failover talk from Jerry Lui</a></li><li><a href="https://www.youtube.com/watch?v=g6WT85gIsE8">Prompt Templates the Song</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 10 Apr 2024 10:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/e70550d7/643ce4a4.mp3" length="46621297" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2899</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel &amp; Chris delight in conversation with “the funniest guy in AI”, Demetrios Brinkmann. Together they explore the results of the MLOps Community’s latest survey. They also preview the upcoming <a href="https://www.aiqualityconference.com">AI Quality Conference</a>.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://thehackermindset.com">The Hacker Mindset</a> – “The Hacker Mindset” written by Garrett Gee, a seasoned white hat hacker with over 20 years of experience, is available for pre-order now. This book reveals the secrets of white hat hacking and how you can apply them to overcome obstacles and achieve your goals. In a world where hacking often gets a bad rap, this book shows you the white hat side – the side focused on innovation, problem-solving, and ethical principles. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Demetrios Brinkmann – <a href="https://x.com/Dpbrinkm">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://linktr.ee/mlopscommunity">MLOps Community</a></li><li><a href="https://www.aiqualityconference.com">AI Quality Conference</a></li><li><a href="https://hq.yougot.us/primary/WebInterview/3AW6LW5D/Start">Evaluation Survey</a></li><li><a href="https://home.mlops.community/home/videos/a-survey-of-production-rag-pain-points-and-solutions">RAG failover talk from Jerry Lui</a></li><li><a href="https://www.youtube.com/watch?v=g6WT85gIsE8">Prompt Templates the Song</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/demetrios" img="https://img.transistorcdn.com/VPMvW4nDWKZtMvGZe55OQEKQvA0qWeMhm5MFl1vBtuY/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kOWFm/Y2UwZjc0ZjdhZjAz/M2VhMGM0NWYwY2Ni/MzQ0NS5qcGc.jpg">Demetrios Brinkmann</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/e70550d7/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Should kids still learn to code?</title>
      <itunes:episode>263</itunes:episode>
      <podcast:episode>263</podcast:episode>
      <itunes:title>Should kids still learn to code?</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2385</guid>
      <link>https://share.transistor.fm/s/10f202c1</link>
      <description>
        <![CDATA[<p>In this fully connected episode, Daniel &amp; Chris discuss NVIDIA GTC keynote comments from CEO Jensen Huang about teaching kids to code. Then they dive into the notion of “community” in the AI world, before discussing challenges in the adoption of generative AI by non-technical people. They finish by addressing the evolving balance between generative AI interfaces and search engines.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://ladderlife.com/practicalai">Ladder Life Insurance</a> – <strong>100% digital — no doctors, no needles, no paperwork.</strong> Don’t put it off until the very last minute to get term coverage life insurance through Ladder. Find out if you’re instantly approved. They’re rated A and A plus. Life insurance costs more as you age, now’s the time to cross it off your list. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://youtu.be/Y2F8yisiS6E?list=TLGGFIbdOwQMZx4yODAzMjAyNA">NVIDIA GTC March 2024 Keynote with NVIDIA CEO Jensen Huang</a></li><li><a href="https://hbr.org/2023/12/5-forces-that-will-drive-the-adoption-of-genai">5 Forces That Will Drive the Adoption of GenAI | Harvard Business Review</a></li><li><a href="https://www.theverge.com/24111326/ai-search-perplexity-copilot-you-google-review">Here’s why AI search engines really can’t kill Google | The Verge</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this fully connected episode, Daniel &amp; Chris discuss NVIDIA GTC keynote comments from CEO Jensen Huang about teaching kids to code. Then they dive into the notion of “community” in the AI world, before discussing challenges in the adoption of generative AI by non-technical people. They finish by addressing the evolving balance between generative AI interfaces and search engines.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://ladderlife.com/practicalai">Ladder Life Insurance</a> – <strong>100% digital — no doctors, no needles, no paperwork.</strong> Don’t put it off until the very last minute to get term coverage life insurance through Ladder. Find out if you’re instantly approved. They’re rated A and A plus. Life insurance costs more as you age, now’s the time to cross it off your list. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://youtu.be/Y2F8yisiS6E?list=TLGGFIbdOwQMZx4yODAzMjAyNA">NVIDIA GTC March 2024 Keynote with NVIDIA CEO Jensen Huang</a></li><li><a href="https://hbr.org/2023/12/5-forces-that-will-drive-the-adoption-of-genai">5 Forces That Will Drive the Adoption of GenAI | Harvard Business Review</a></li><li><a href="https://www.theverge.com/24111326/ai-search-perplexity-copilot-you-google-review">Here’s why AI search engines really can’t kill Google | The Verge</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 02 Apr 2024 16:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/10f202c1/907c237c.mp3" length="38001157" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2360</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this fully connected episode, Daniel &amp; Chris discuss NVIDIA GTC keynote comments from CEO Jensen Huang about teaching kids to code. Then they dive into the notion of “community” in the AI world, before discussing challenges in the adoption of generative AI by non-technical people. They finish by addressing the evolving balance between generative AI interfaces and search engines.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://ladderlife.com/practicalai">Ladder Life Insurance</a> – <strong>100% digital — no doctors, no needles, no paperwork.</strong> Don’t put it off until the very last minute to get term coverage life insurance through Ladder. Find out if you’re instantly approved. They’re rated A and A plus. Life insurance costs more as you age, now’s the time to cross it off your list. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://youtu.be/Y2F8yisiS6E?list=TLGGFIbdOwQMZx4yODAzMjAyNA">NVIDIA GTC March 2024 Keynote with NVIDIA CEO Jensen Huang</a></li><li><a href="https://hbr.org/2023/12/5-forces-that-will-drive-the-adoption-of-genai">5 Forces That Will Drive the Adoption of GenAI | Harvard Business Review</a></li><li><a href="https://www.theverge.com/24111326/ai-search-perplexity-copilot-you-google-review">Here’s why AI search engines really can’t kill Google | The Verge</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/10f202c1/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>AI vs software devs</title>
      <itunes:episode>262</itunes:episode>
      <podcast:episode>262</podcast:episode>
      <itunes:title>AI vs software devs</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2381</guid>
      <link>https://share.transistor.fm/s/bec4b1c2</link>
      <description>
        <![CDATA[<p>Daniel and Chris are out this week, so we’re bringing you conversations all about AI’s complicated relationship to software developers from other Changelog pods: JS Party, Go Time &amp; The Changelog.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Visit <a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j.com/developer</a> to get started. </li><li><a href="https://thehackermindset.com">The Hacker Mindset</a> – “The Hacker Mindset” written by Garrett Gee, a seasoned white hat hacker with over 20 years of experience, is available for pre-order now. This book reveals the secrets of white hat hacking and how you can apply them to overcome obstacles and achieve your goals. In a world where hacking often gets a bad rap, this book shows you the white hat side – the side focused on innovation, problem-solving, and ethical principles. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Kent Quirk – <a href="https://github.com/kentquirk">GitHub</a>, <a href="https://hachyderm.io/@kentquirk">Mastodon</a>, <a href="https://x.com/kentquirk">X</a></li><li>Sharon DiOrio – <a href="https://x.com/sharondio">X</a></li><li>Steven Pyle – <a href="https://www.linkedin.com/in/stevenpyle">LinkedIn</a></li><li>José Valim – <a href="https://dashbit.co">Website</a>, <a href="https://github.com/josevalim">GitHub</a>, <a href="https://x.com/josevalim">X</a></li><li>Jerod Santo – <a href="https://github.com/jerodsanto">GitHub</a>, <a href="https://www.linkedin.com/in/jerodsanto">LinkedIn</a>, <a href="https://changelog.social/@jerod">Mastodon</a>, <a href="https://x.com/jerodsanto">X</a></li><li>Kevin Ball – <a href="https://www.kball.llc">Website</a>, <a href="https://github.com/kball">GitHub</a>, <a href="https://www.linkedin.com/in/kbal11">LinkedIn</a>, <a href="https://x.com/kbal11">X</a></li><li>Nick Nisi – <a href="https://nicknisi.com">Website</a>, <a href="https://github.com/nicknisi">GitHub</a>, <a href="https://nicknisi.com/@nicknisi">Mastodon</a>, <a href="https://x.com/nicknisi">X</a></li><li>Johnny Boursiquot – <a href="https://www.jboursiquot.com/">Website</a>, <a href="https://github.com/jboursiquot">GitHub</a>, <a href="https://x.com/jboursiquot">X</a></li><li>Adam Stacoviak – <a href="https://adamstacoviak.com/">Website</a>, <a href="https://github.com/adamstac">GitHub</a>, <a href="https://www.linkedin.com/in/adamstacoviak">LinkedIn</a>, <a href="https://changelog.social/@adam">Mastodon</a>, <a href="https://x.com/adamstac">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://jsparty.fm/317">JS Party #317</a> (This will 404 until Thursday!)</li><li><a href="https://jsparty.fm/306">Go Time #306</a></li><li><a href="https://changelog.com/friends/28">Changelog &amp; Friends #28</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel and Chris are out this week, so we’re bringing you conversations all about AI’s complicated relationship to software developers from other Changelog pods: JS Party, Go Time &amp; The Changelog.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Visit <a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j.com/developer</a> to get started. </li><li><a href="https://thehackermindset.com">The Hacker Mindset</a> – “The Hacker Mindset” written by Garrett Gee, a seasoned white hat hacker with over 20 years of experience, is available for pre-order now. This book reveals the secrets of white hat hacking and how you can apply them to overcome obstacles and achieve your goals. In a world where hacking often gets a bad rap, this book shows you the white hat side – the side focused on innovation, problem-solving, and ethical principles. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Kent Quirk – <a href="https://github.com/kentquirk">GitHub</a>, <a href="https://hachyderm.io/@kentquirk">Mastodon</a>, <a href="https://x.com/kentquirk">X</a></li><li>Sharon DiOrio – <a href="https://x.com/sharondio">X</a></li><li>Steven Pyle – <a href="https://www.linkedin.com/in/stevenpyle">LinkedIn</a></li><li>José Valim – <a href="https://dashbit.co">Website</a>, <a href="https://github.com/josevalim">GitHub</a>, <a href="https://x.com/josevalim">X</a></li><li>Jerod Santo – <a href="https://github.com/jerodsanto">GitHub</a>, <a href="https://www.linkedin.com/in/jerodsanto">LinkedIn</a>, <a href="https://changelog.social/@jerod">Mastodon</a>, <a href="https://x.com/jerodsanto">X</a></li><li>Kevin Ball – <a href="https://www.kball.llc">Website</a>, <a href="https://github.com/kball">GitHub</a>, <a href="https://www.linkedin.com/in/kbal11">LinkedIn</a>, <a href="https://x.com/kbal11">X</a></li><li>Nick Nisi – <a href="https://nicknisi.com">Website</a>, <a href="https://github.com/nicknisi">GitHub</a>, <a href="https://nicknisi.com/@nicknisi">Mastodon</a>, <a href="https://x.com/nicknisi">X</a></li><li>Johnny Boursiquot – <a href="https://www.jboursiquot.com/">Website</a>, <a href="https://github.com/jboursiquot">GitHub</a>, <a href="https://x.com/jboursiquot">X</a></li><li>Adam Stacoviak – <a href="https://adamstacoviak.com/">Website</a>, <a href="https://github.com/adamstac">GitHub</a>, <a href="https://www.linkedin.com/in/adamstacoviak">LinkedIn</a>, <a href="https://changelog.social/@adam">Mastodon</a>, <a href="https://x.com/adamstac">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://jsparty.fm/317">JS Party #317</a> (This will 404 until Thursday!)</li><li><a href="https://jsparty.fm/306">Go Time #306</a></li><li><a href="https://changelog.com/friends/28">Changelog &amp; Friends #28</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 26 Mar 2024 15:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/bec4b1c2/b247d8e8.mp3" length="54958622" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3420</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel and Chris are out this week, so we’re bringing you conversations all about AI’s complicated relationship to software developers from other Changelog pods: JS Party, Go Time &amp; The Changelog.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Visit <a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j.com/developer</a> to get started. </li><li><a href="https://thehackermindset.com">The Hacker Mindset</a> – “The Hacker Mindset” written by Garrett Gee, a seasoned white hat hacker with over 20 years of experience, is available for pre-order now. This book reveals the secrets of white hat hacking and how you can apply them to overcome obstacles and achieve your goals. In a world where hacking often gets a bad rap, this book shows you the white hat side – the side focused on innovation, problem-solving, and ethical principles. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Kent Quirk – <a href="https://github.com/kentquirk">GitHub</a>, <a href="https://hachyderm.io/@kentquirk">Mastodon</a>, <a href="https://x.com/kentquirk">X</a></li><li>Sharon DiOrio – <a href="https://x.com/sharondio">X</a></li><li>Steven Pyle – <a href="https://www.linkedin.com/in/stevenpyle">LinkedIn</a></li><li>José Valim – <a href="https://dashbit.co">Website</a>, <a href="https://github.com/josevalim">GitHub</a>, <a href="https://x.com/josevalim">X</a></li><li>Jerod Santo – <a href="https://github.com/jerodsanto">GitHub</a>, <a href="https://www.linkedin.com/in/jerodsanto">LinkedIn</a>, <a href="https://changelog.social/@jerod">Mastodon</a>, <a href="https://x.com/jerodsanto">X</a></li><li>Kevin Ball – <a href="https://www.kball.llc">Website</a>, <a href="https://github.com/kball">GitHub</a>, <a href="https://www.linkedin.com/in/kbal11">LinkedIn</a>, <a href="https://x.com/kbal11">X</a></li><li>Nick Nisi – <a href="https://nicknisi.com">Website</a>, <a href="https://github.com/nicknisi">GitHub</a>, <a href="https://nicknisi.com/@nicknisi">Mastodon</a>, <a href="https://x.com/nicknisi">X</a></li><li>Johnny Boursiquot – <a href="https://www.jboursiquot.com/">Website</a>, <a href="https://github.com/jboursiquot">GitHub</a>, <a href="https://x.com/jboursiquot">X</a></li><li>Adam Stacoviak – <a href="https://adamstacoviak.com/">Website</a>, <a href="https://github.com/adamstac">GitHub</a>, <a href="https://www.linkedin.com/in/adamstacoviak">LinkedIn</a>, <a href="https://changelog.social/@adam">Mastodon</a>, <a href="https://x.com/adamstac">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://jsparty.fm/317">JS Party #317</a> (This will 404 until Thursday!)</li><li><a href="https://jsparty.fm/306">Go Time #306</a></li><li><a href="https://changelog.com/friends/28">Changelog &amp; Friends #28</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/kball" img="https://img.transistorcdn.com/YPt_TT8fiA67Ys6fbvpLkZRTs0-6AIFOn9NwyuYMX98/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85MmM5/ZjM1MWJlMDY3Yzg2/ZTQ1MjNlZTc0YmIy/OTkxNi5qcGc.jpg">Kevin Ball</podcast:person>
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      <podcast:person role="Guest" href="https://changelog.com/person/kentquirk" img="https://img.transistorcdn.com/2W7Xvjj5nqhvityADmx3Vkw84kBHFQEo3hYnNSp8JhM/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kMjQ4/MmUwZjg5ODI2YTNi/ODFkNWZiZTllYWUx/MjA3YS5qcGc.jpg">Kent Quirk</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/sharondio" img="https://img.transistorcdn.com/Cs8A3-xb3viA4u1JccANsoR47y7TMaujYcEAQa1L_YI/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ODU0/OWQ4ZTFkYTA4NDdj/YmI5NDQzNjZkZmRl/ODJhOS5qcGc.jpg">Sharon DiOrio</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/spyle" img="https://img.transistorcdn.com/P1K_s6-TmTitt7BBy5_1jH0yvjZl2e_p6roNimfvWF4/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9iYjA3/NDFhMTViOTAyMTE5/YWI0OTRkOWVhMGUz/OWNiMS5qcGVn.jpg">Steven Pyle</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/jerodsanto" img="https://img.transistorcdn.com/4ynfahOBWUQNK-YP0MvuexJ-Idv-CKINobQjuuhReoc/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yMjIy/MWY0MmMzZTZlM2Y3/NzBjOTM3MDUxZGZh/YTBlYS5qcGVn.jpg">Jerod Santo</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/adamstac" img="https://img.transistorcdn.com/3Q019nNiF15uRElMV52O7Sp-TBp3MSHW8GA2H6fIMlk/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zZmRl/YzdiMjVlZmU4NmI0/ZDJkYmUyNDMyNjlh/ZWE0Zi5qcGc.jpg">Adam Stacoviak</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/josevalim" img="https://img.transistorcdn.com/0of9Cg2c-YmgO6gNNSz14SmMhQCZJhz_bAxIHqixZq0/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kNTdl/ZGMwN2QxMzgwNThi/ZDc0OTFhYzEyZDRj/OGQ4Yy5qcGc.jpg">José Valim</podcast:person>
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    </item>
    <item>
      <title>Prompting the future</title>
      <itunes:episode>261</itunes:episode>
      <podcast:episode>261</podcast:episode>
      <itunes:title>Prompting the future</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2376</guid>
      <link>https://share.transistor.fm/s/f7d9e521</link>
      <description>
        <![CDATA[<p>Daniel &amp; Chris explore the state of the art in prompt engineering with Jared Zoneraich, the founder of PromptLayer. PromptLayer is the first platform built specifically for prompt engineering. It can visually manage prompts, evaluate models, log LLM requests, search usage history, and help your organization collaborate as a team. Jared provides expert guidance in how to be implement prompt engineering, but also illustrates how we got here, and where we’re likely to go next.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.shopify.com/practicalai">Shopify</a> – Sign up for a $1/month trial period at <a href="https://www.shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Jared Zoneraich – <a href="https://www.linkedin.com/in/imjaredz">LinkedIn</a>, <a href="https://x.com/imjaredz">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://promptlayer.com">PromptLayer</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel &amp; Chris explore the state of the art in prompt engineering with Jared Zoneraich, the founder of PromptLayer. PromptLayer is the first platform built specifically for prompt engineering. It can visually manage prompts, evaluate models, log LLM requests, search usage history, and help your organization collaborate as a team. Jared provides expert guidance in how to be implement prompt engineering, but also illustrates how we got here, and where we’re likely to go next.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.shopify.com/practicalai">Shopify</a> – Sign up for a $1/month trial period at <a href="https://www.shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Jared Zoneraich – <a href="https://www.linkedin.com/in/imjaredz">LinkedIn</a>, <a href="https://x.com/imjaredz">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://promptlayer.com">PromptLayer</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 20 Mar 2024 09:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2759</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel &amp; Chris explore the state of the art in prompt engineering with Jared Zoneraich, the founder of PromptLayer. PromptLayer is the first platform built specifically for prompt engineering. It can visually manage prompts, evaluate models, log LLM requests, search usage history, and help your organization collaborate as a team. Jared provides expert guidance in how to be implement prompt engineering, but also illustrates how we got here, and where we’re likely to go next.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.shopify.com/practicalai">Shopify</a> – Sign up for a $1/month trial period at <a href="https://www.shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Jared Zoneraich – <a href="https://www.linkedin.com/in/imjaredz">LinkedIn</a>, <a href="https://x.com/imjaredz">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://promptlayer.com">PromptLayer</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/imjaredz" img="https://img.transistorcdn.com/5Ox13HWtWaRowL1CL624OHjxHW8PwztITUGaziPtZ5c/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80MmNk/ZDllMzRkYjMxNGY0/ZDQ2ZGY1YmE1YzVk/MzU5OC5qcGc.jpg">Jared Zoneraich</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
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    </item>
    <item>
      <title>Generating the future of art &amp; entertainment</title>
      <itunes:episode>260</itunes:episode>
      <podcast:episode>260</podcast:episode>
      <itunes:title>Generating the future of art &amp; entertainment</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2367</guid>
      <link>https://share.transistor.fm/s/de752b57</link>
      <description>
        <![CDATA[<p><a href="https://runwayml.com">Runway</a> is an applied AI research company shaping the next era of art, entertainment &amp; human creativity. Chris sat down with Runway co-founder / CTO, Anastasis Germanidis, to discuss their rise and how it’s defining the future of the creative landscape with its text &amp; image to video models. We hope you find Anastasis’s founder story as inspiring as Chris did.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Visit <a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j.com/developer</a> to get started. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Anastasis Germanidis – <a href="https://agermanidis.com">Website</a>, <a href="https://github.com/agermanidis">GitHub</a>, <a href="https://www.linkedin.com/in/agermanidis">LinkedIn</a>, <a href="https://x.com/agermanidis">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://runwayml.com">Runway | Website</a></li><li><a href="https://twitter.com/runwayml">Runway | Twitter</a></li><li><a href="https://aiff.runwayml.com">Runway | AI Film Festival (AIFF)</a></li><li><a href="https://runwayml.com/ai-tools/gen-2">Runway | Gen-2</a></li><li><a href="https://gen48.runwayml.com/winners">Runway | Gen48</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><a href="https://runwayml.com">Runway</a> is an applied AI research company shaping the next era of art, entertainment &amp; human creativity. Chris sat down with Runway co-founder / CTO, Anastasis Germanidis, to discuss their rise and how it’s defining the future of the creative landscape with its text &amp; image to video models. We hope you find Anastasis’s founder story as inspiring as Chris did.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Visit <a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j.com/developer</a> to get started. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Anastasis Germanidis – <a href="https://agermanidis.com">Website</a>, <a href="https://github.com/agermanidis">GitHub</a>, <a href="https://www.linkedin.com/in/agermanidis">LinkedIn</a>, <a href="https://x.com/agermanidis">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://runwayml.com">Runway | Website</a></li><li><a href="https://twitter.com/runwayml">Runway | Twitter</a></li><li><a href="https://aiff.runwayml.com">Runway | AI Film Festival (AIFF)</a></li><li><a href="https://runwayml.com/ai-tools/gen-2">Runway | Gen-2</a></li><li><a href="https://gen48.runwayml.com/winners">Runway | Gen48</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 12 Mar 2024 13:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>2526</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><a href="https://runwayml.com">Runway</a> is an applied AI research company shaping the next era of art, entertainment &amp; human creativity. Chris sat down with Runway co-founder / CTO, Anastasis Germanidis, to discuss their rise and how it’s defining the future of the creative landscape with its text &amp; image to video models. We hope you find Anastasis’s founder story as inspiring as Chris did.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Visit <a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j.com/developer</a> to get started. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Anastasis Germanidis – <a href="https://agermanidis.com">Website</a>, <a href="https://github.com/agermanidis">GitHub</a>, <a href="https://www.linkedin.com/in/agermanidis">LinkedIn</a>, <a href="https://x.com/agermanidis">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://runwayml.com">Runway | Website</a></li><li><a href="https://twitter.com/runwayml">Runway | Twitter</a></li><li><a href="https://aiff.runwayml.com">Runway | AI Film Festival (AIFF)</a></li><li><a href="https://runwayml.com/ai-tools/gen-2">Runway | Gen-2</a></li><li><a href="https://gen48.runwayml.com/winners">Runway | Gen48</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/agermanidis" img="https://img.transistorcdn.com/88htzOoBpwV6LvQskGzATcjWKXdkes7Fl7WV2avJYDI/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mYmRh/OTY4MDM5MmMxNjlj/ZmY4ZjcwZTM4ODgw/ODc4Mi5qcGVn.jpg">Anastasis Germanidis</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
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    <item>
      <title>YOLOv9: Computer vision is alive and well</title>
      <itunes:episode>259</itunes:episode>
      <podcast:episode>259</podcast:episode>
      <itunes:title>YOLOv9: Computer vision is alive and well</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <description>
        <![CDATA[<p>While everyone is super hyped about generative AI, computer vision researchers have been working in the background on significant advancements in deep learning architectures. YOLOv9 was just released with some noteworthy advancements relevant to parameter efficient models. In this episode, Chris and Daniel dig into the details and also discuss advancements in parameter efficient LLMs, such as Microsofts 1-Bit LLMs and Qualcomm’s new AI Hub.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="http://sentry.io/events/launch-week/">Sentry</a> – <strong>Launch week!</strong> New features and products all week long (so get comfy)! Tune in to Sentry’s <a href="https://www.youtube.com/c/Sentry-monitoring/featured">YouTube</a> and Discord daily at 9am PT to hear the latest scoop. Too busy? No problem - enter your email address to receive all the announcements (and win swag along the way). Use the code CHANGELOG when you sign up to get $100 OFF the team plan. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>YOLOv9:</p><ul><li><a href="https://artgor.medium.com/paper-review-yolov9-learning-what-you-want-to-learn-using-programmable-gradient-information-8ec2e6e13551">Yolov9: Learning What You Want to Learn Using Programmable Gradient Information</a></li><li><a href="https://medium.com/ai-trends/yolov9-object-detection-with-programmable-gradient-information-pgi-and-generalized-efficient-4fa3352409cc">Yolov9 Object Detection with Programmable Gradient Information (PGI) and Generalized Efficient</a></li><li><a href="https://www.datature.io/blog/yolov9-a-comprehensive-guide-and-custom-dataset-fine-tuning">Yolov9: A Comprehensive Guide and Custom Dataset Fine-Tuning</a></li><li><a href="https://encord.com/blog/yolov9-sota-machine-learning-object-dection-model/">YOLOv9 SOTA Machine Learning Object Detection Model</a></li><li><a href="https://docs.ultralytics.com/models/yolov9/">YOLOv9</a></li><li><a href="https://www.linkedin.com/pulse/unleashing-power-9-yolov9-gurneet-singh-wcrrc/">Unleashing the Power of YOLOv9</a></li><li><a href="https://www.linkedin.com/posts/yurygorbachev_yolov9-nncf-openvino-activity-7168875232626163712-3k6p">YOLOv9 with NNCF and OpenVINO</a></li><li><a href="https://arxiv.org/abs/2402.13616">ArXiv:2402.13616</a></li></ul><p>Parameter efficient LLMs:</p><ul><li><a href="https://huggingface.co/papers/2402.17764">Hugging Face Paper page, 1-Bit LLMs</a></li><li><a href="https://arxiv.org/abs/2402.17764">ArXiv paper: “The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits”</a></li><li><a href="https://aihub.qualcomm.com/">Qualcomm AI Hub</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>While everyone is super hyped about generative AI, computer vision researchers have been working in the background on significant advancements in deep learning architectures. YOLOv9 was just released with some noteworthy advancements relevant to parameter efficient models. In this episode, Chris and Daniel dig into the details and also discuss advancements in parameter efficient LLMs, such as Microsofts 1-Bit LLMs and Qualcomm’s new AI Hub.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="http://sentry.io/events/launch-week/">Sentry</a> – <strong>Launch week!</strong> New features and products all week long (so get comfy)! Tune in to Sentry’s <a href="https://www.youtube.com/c/Sentry-monitoring/featured">YouTube</a> and Discord daily at 9am PT to hear the latest scoop. Too busy? No problem - enter your email address to receive all the announcements (and win swag along the way). Use the code CHANGELOG when you sign up to get $100 OFF the team plan. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>YOLOv9:</p><ul><li><a href="https://artgor.medium.com/paper-review-yolov9-learning-what-you-want-to-learn-using-programmable-gradient-information-8ec2e6e13551">Yolov9: Learning What You Want to Learn Using Programmable Gradient Information</a></li><li><a href="https://medium.com/ai-trends/yolov9-object-detection-with-programmable-gradient-information-pgi-and-generalized-efficient-4fa3352409cc">Yolov9 Object Detection with Programmable Gradient Information (PGI) and Generalized Efficient</a></li><li><a href="https://www.datature.io/blog/yolov9-a-comprehensive-guide-and-custom-dataset-fine-tuning">Yolov9: A Comprehensive Guide and Custom Dataset Fine-Tuning</a></li><li><a href="https://encord.com/blog/yolov9-sota-machine-learning-object-dection-model/">YOLOv9 SOTA Machine Learning Object Detection Model</a></li><li><a href="https://docs.ultralytics.com/models/yolov9/">YOLOv9</a></li><li><a href="https://www.linkedin.com/pulse/unleashing-power-9-yolov9-gurneet-singh-wcrrc/">Unleashing the Power of YOLOv9</a></li><li><a href="https://www.linkedin.com/posts/yurygorbachev_yolov9-nncf-openvino-activity-7168875232626163712-3k6p">YOLOv9 with NNCF and OpenVINO</a></li><li><a href="https://arxiv.org/abs/2402.13616">ArXiv:2402.13616</a></li></ul><p>Parameter efficient LLMs:</p><ul><li><a href="https://huggingface.co/papers/2402.17764">Hugging Face Paper page, 1-Bit LLMs</a></li><li><a href="https://arxiv.org/abs/2402.17764">ArXiv paper: “The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits”</a></li><li><a href="https://aihub.qualcomm.com/">Qualcomm AI Hub</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 06 Mar 2024 12:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>2566</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>While everyone is super hyped about generative AI, computer vision researchers have been working in the background on significant advancements in deep learning architectures. YOLOv9 was just released with some noteworthy advancements relevant to parameter efficient models. In this episode, Chris and Daniel dig into the details and also discuss advancements in parameter efficient LLMs, such as Microsofts 1-Bit LLMs and Qualcomm’s new AI Hub.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="http://sentry.io/events/launch-week/">Sentry</a> – <strong>Launch week!</strong> New features and products all week long (so get comfy)! Tune in to Sentry’s <a href="https://www.youtube.com/c/Sentry-monitoring/featured">YouTube</a> and Discord daily at 9am PT to hear the latest scoop. Too busy? No problem - enter your email address to receive all the announcements (and win swag along the way). Use the code CHANGELOG when you sign up to get $100 OFF the team plan. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>YOLOv9:</p><ul><li><a href="https://artgor.medium.com/paper-review-yolov9-learning-what-you-want-to-learn-using-programmable-gradient-information-8ec2e6e13551">Yolov9: Learning What You Want to Learn Using Programmable Gradient Information</a></li><li><a href="https://medium.com/ai-trends/yolov9-object-detection-with-programmable-gradient-information-pgi-and-generalized-efficient-4fa3352409cc">Yolov9 Object Detection with Programmable Gradient Information (PGI) and Generalized Efficient</a></li><li><a href="https://www.datature.io/blog/yolov9-a-comprehensive-guide-and-custom-dataset-fine-tuning">Yolov9: A Comprehensive Guide and Custom Dataset Fine-Tuning</a></li><li><a href="https://encord.com/blog/yolov9-sota-machine-learning-object-dection-model/">YOLOv9 SOTA Machine Learning Object Detection Model</a></li><li><a href="https://docs.ultralytics.com/models/yolov9/">YOLOv9</a></li><li><a href="https://www.linkedin.com/pulse/unleashing-power-9-yolov9-gurneet-singh-wcrrc/">Unleashing the Power of YOLOv9</a></li><li><a href="https://www.linkedin.com/posts/yurygorbachev_yolov9-nncf-openvino-activity-7168875232626163712-3k6p">YOLOv9 with NNCF and OpenVINO</a></li><li><a href="https://arxiv.org/abs/2402.13616">ArXiv:2402.13616</a></li></ul><p>Parameter efficient LLMs:</p><ul><li><a href="https://huggingface.co/papers/2402.17764">Hugging Face Paper page, 1-Bit LLMs</a></li><li><a href="https://arxiv.org/abs/2402.17764">ArXiv paper: “The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits”</a></li><li><a href="https://aihub.qualcomm.com/">Qualcomm AI Hub</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>Representation Engineering (Activation Hacking)</title>
      <itunes:episode>258</itunes:episode>
      <podcast:episode>258</podcast:episode>
      <itunes:title>Representation Engineering (Activation Hacking)</itunes:title>
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      <link>https://share.transistor.fm/s/20514e97</link>
      <description>
        <![CDATA[<p>Recently, we briefly mentioned the concept of “Activation Hacking” in the episode with Karan from Nous Research. In this fully connected episode, Chris and Daniel dive into the details of this model control mechanism, also called “representation engineering”. Of course, they also take time to discuss the new Sora model from OpenAI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Visit <a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j.com/developer</a> to get started. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://changelog.com/practicalai/255">Data synthesis for SOTA LLMs with Karan Malhotra from Nous Research (Practical AI #255)</a></li><li><a href="https://vgel.me/posts/representation-engineering/">Article: Representation Engineering Mistral-7B an Acid Trip</a></li><li><a href="https://openai.com/sora">OpenAI Sora</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Recently, we briefly mentioned the concept of “Activation Hacking” in the episode with Karan from Nous Research. In this fully connected episode, Chris and Daniel dive into the details of this model control mechanism, also called “representation engineering”. Of course, they also take time to discuss the new Sora model from OpenAI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Visit <a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j.com/developer</a> to get started. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://changelog.com/practicalai/255">Data synthesis for SOTA LLMs with Karan Malhotra from Nous Research (Practical AI #255)</a></li><li><a href="https://vgel.me/posts/representation-engineering/">Article: Representation Engineering Mistral-7B an Acid Trip</a></li><li><a href="https://openai.com/sora">OpenAI Sora</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 28 Feb 2024 10:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/20514e97/d2bf9d0b.mp3" length="42063496" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2614</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Recently, we briefly mentioned the concept of “Activation Hacking” in the episode with Karan from Nous Research. In this fully connected episode, Chris and Daniel dive into the details of this model control mechanism, also called “representation engineering”. Of course, they also take time to discuss the new Sora model from OpenAI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Visit <a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j.com/developer</a> to get started. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://changelog.com/practicalai/255">Data synthesis for SOTA LLMs with Karan Malhotra from Nous Research (Practical AI #255)</a></li><li><a href="https://vgel.me/posts/representation-engineering/">Article: Representation Engineering Mistral-7B an Acid Trip</a></li><li><a href="https://openai.com/sora">OpenAI Sora</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/20514e97/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Leading the charge on AI in National Security</title>
      <itunes:episode>257</itunes:episode>
      <podcast:episode>257</podcast:episode>
      <itunes:title>Leading the charge on AI in National Security</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2344</guid>
      <link>https://share.transistor.fm/s/d6c1a16d</link>
      <description>
        <![CDATA[<p>Chris &amp; Daniel explore AI in national security with Lt. General Jack Shanahan (USAF, Ret.). The conversation reflects Jack’s unique background as the only senior U.S. military officer responsible for standing up and leading two organizations in the United States Department of Defense (DoD) dedicated to fielding artificial intelligence capabilities: Project Maven and the DoD Joint AI Center (JAIC).</p><p>Together, Jack, Daniel &amp; Chris dive into the fascinating details of Jack’s recent written testimony to the U.S. Senate’s AI Insight Forum on National Security, in which he provides the U.S. government with thoughtful guidance on how to achieve the best path forward with artificial intelligence.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.shopify.com/practicalai">Shopify</a> – Sign up for a $1/month trial period at <a href="https://www.shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Jack Shanahan – <a href="https://www.linkedin.com/in/jackntshanahan">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://lu.ma/nbi7pz6y">Gen AI Master class</a></li><li><a href="https://www.schumer.senate.gov/imo/media/doc/Jack%20Shanahan%20-%20Statement.pdf">Written Testimony of Lieutenant General John (Jack) N.T. Shanahan (USAF, Ret.) AI Insight Forum: National Security</a></li><li><a href="https://csis-website-prod.s3.amazonaws.com/s3fs-public/publication/220907-Mulchandani-SoftwareDefined-Warfare.pdf">Software Defined Warfare: Architecting the DOD’s Transition to the Digital Age</a></li><li><a href="https://www.linkedin.com/posts/jackntshanahan_ai-and-geopolitics-activity-7143953788532375552-Xzwr">Artificial Intelligence and Geopolitics:vHitching the Disruptive Technology Cart to the Geopolitics Horse | LinkedIn</a></li><li><a href="https://en.wikipedia.org/wiki/Joint_Artificial_Intelligence_Center">Joint Artificial Intelligence Center (JAIC) | Wikipedia</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Chris &amp; Daniel explore AI in national security with Lt. General Jack Shanahan (USAF, Ret.). The conversation reflects Jack’s unique background as the only senior U.S. military officer responsible for standing up and leading two organizations in the United States Department of Defense (DoD) dedicated to fielding artificial intelligence capabilities: Project Maven and the DoD Joint AI Center (JAIC).</p><p>Together, Jack, Daniel &amp; Chris dive into the fascinating details of Jack’s recent written testimony to the U.S. Senate’s AI Insight Forum on National Security, in which he provides the U.S. government with thoughtful guidance on how to achieve the best path forward with artificial intelligence.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.shopify.com/practicalai">Shopify</a> – Sign up for a $1/month trial period at <a href="https://www.shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Jack Shanahan – <a href="https://www.linkedin.com/in/jackntshanahan">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://lu.ma/nbi7pz6y">Gen AI Master class</a></li><li><a href="https://www.schumer.senate.gov/imo/media/doc/Jack%20Shanahan%20-%20Statement.pdf">Written Testimony of Lieutenant General John (Jack) N.T. Shanahan (USAF, Ret.) AI Insight Forum: National Security</a></li><li><a href="https://csis-website-prod.s3.amazonaws.com/s3fs-public/publication/220907-Mulchandani-SoftwareDefined-Warfare.pdf">Software Defined Warfare: Architecting the DOD’s Transition to the Digital Age</a></li><li><a href="https://www.linkedin.com/posts/jackntshanahan_ai-and-geopolitics-activity-7143953788532375552-Xzwr">Artificial Intelligence and Geopolitics:vHitching the Disruptive Technology Cart to the Geopolitics Horse | LinkedIn</a></li><li><a href="https://en.wikipedia.org/wiki/Joint_Artificial_Intelligence_Center">Joint Artificial Intelligence Center (JAIC) | Wikipedia</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 20 Feb 2024 10:15:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/d6c1a16d/6597fbdd.mp3" length="50330322" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3123</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Chris &amp; Daniel explore AI in national security with Lt. General Jack Shanahan (USAF, Ret.). The conversation reflects Jack’s unique background as the only senior U.S. military officer responsible for standing up and leading two organizations in the United States Department of Defense (DoD) dedicated to fielding artificial intelligence capabilities: Project Maven and the DoD Joint AI Center (JAIC).</p><p>Together, Jack, Daniel &amp; Chris dive into the fascinating details of Jack’s recent written testimony to the U.S. Senate’s AI Insight Forum on National Security, in which he provides the U.S. government with thoughtful guidance on how to achieve the best path forward with artificial intelligence.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.shopify.com/practicalai">Shopify</a> – Sign up for a $1/month trial period at <a href="https://www.shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Jack Shanahan – <a href="https://www.linkedin.com/in/jackntshanahan">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://lu.ma/nbi7pz6y">Gen AI Master class</a></li><li><a href="https://www.schumer.senate.gov/imo/media/doc/Jack%20Shanahan%20-%20Statement.pdf">Written Testimony of Lieutenant General John (Jack) N.T. Shanahan (USAF, Ret.) AI Insight Forum: National Security</a></li><li><a href="https://csis-website-prod.s3.amazonaws.com/s3fs-public/publication/220907-Mulchandani-SoftwareDefined-Warfare.pdf">Software Defined Warfare: Architecting the DOD’s Transition to the Digital Age</a></li><li><a href="https://www.linkedin.com/posts/jackntshanahan_ai-and-geopolitics-activity-7143953788532375552-Xzwr">Artificial Intelligence and Geopolitics:vHitching the Disruptive Technology Cart to the Geopolitics Horse | LinkedIn</a></li><li><a href="https://en.wikipedia.org/wiki/Joint_Artificial_Intelligence_Center">Joint Artificial Intelligence Center (JAIC) | Wikipedia</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/jackntshanahan" img="https://img.transistorcdn.com/UH8WXVaCyhWMylERc_c4oRyjEVER0i9zZ55B8s6WSd4/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xYTY4/NDkyMTRhZmFmY2Rh/NGRkOTUzMDY4NzZm/YTQ1MC5qcGVn.jpg">Jack Shanahan</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/d6c1a16d/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Gemini vs OpenAI</title>
      <itunes:episode>256</itunes:episode>
      <podcast:episode>256</podcast:episode>
      <itunes:title>Gemini vs OpenAI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2339</guid>
      <link>https://share.transistor.fm/s/9e65312d</link>
      <description>
        <![CDATA[<p>Google has been releasing a ton of new GenAI functionality under the name “Gemini”, and they’ve officially rebranded Bard as Gemini. We take some time to talk through Gemini compared with offerings from OpenAI, Anthropic, Cohere, etc.</p><p>We also discuss the recent FCC decision to ban the use of AI voices in robocalls and what the decision might mean for government involvement in AI in 2024.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Visit <a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j.com/developer</a> to get started. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://gemini.google.com/app">Gemini</a></li><li><a href="https://www.fcc.gov/document/fcc-makes-ai-generated-voices-robocalls-illegal">FCC decision on AI voices</a></li><li><a href="https://www.wsj.com/tech/ai/fcc-bans-ai-artificial-intelligence-voices-in-robocalls-texts-3ea20d9f">FCC Bans AI Voices in Unsolicited Robocalls</a></li><li><a href="https://www.promptingguide.ai/">Prompt Engineering Guide</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Google has been releasing a ton of new GenAI functionality under the name “Gemini”, and they’ve officially rebranded Bard as Gemini. We take some time to talk through Gemini compared with offerings from OpenAI, Anthropic, Cohere, etc.</p><p>We also discuss the recent FCC decision to ban the use of AI voices in robocalls and what the decision might mean for government involvement in AI in 2024.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Visit <a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j.com/developer</a> to get started. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://gemini.google.com/app">Gemini</a></li><li><a href="https://www.fcc.gov/document/fcc-makes-ai-generated-voices-robocalls-illegal">FCC decision on AI voices</a></li><li><a href="https://www.wsj.com/tech/ai/fcc-bans-ai-artificial-intelligence-voices-in-robocalls-texts-3ea20d9f">FCC Bans AI Voices in Unsolicited Robocalls</a></li><li><a href="https://www.promptingguide.ai/">Prompt Engineering Guide</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 14 Feb 2024 15:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/9e65312d/d7165f5d.mp3" length="41978724" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2609</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Google has been releasing a ton of new GenAI functionality under the name “Gemini”, and they’ve officially rebranded Bard as Gemini. We take some time to talk through Gemini compared with offerings from OpenAI, Anthropic, Cohere, etc.</p><p>We also discuss the recent FCC decision to ban the use of AI voices in robocalls and what the decision might mean for government involvement in AI in 2024.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j</a> – Is your code getting dragged down by JOINs and long query times? The problem might be your database…Try simplifying the complex with graphs. Stop asking relational databases to do more than they were made for. Graphs work well for use cases with lots of data connections like supply chain, fraud detection, real-time analytics, and genAI. With Neo4j, you can code in your favorite programming language and against any driver. Plus, it’s easy to integrate into your tech stack. Visit <a href="https://www.neo4j.com/developer?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">Neo4j.com/developer</a> to get started. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://gemini.google.com/app">Gemini</a></li><li><a href="https://www.fcc.gov/document/fcc-makes-ai-generated-voices-robocalls-illegal">FCC decision on AI voices</a></li><li><a href="https://www.wsj.com/tech/ai/fcc-bans-ai-artificial-intelligence-voices-in-robocalls-texts-3ea20d9f">FCC Bans AI Voices in Unsolicited Robocalls</a></li><li><a href="https://www.promptingguide.ai/">Prompt Engineering Guide</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/9e65312d/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Data synthesis for SOTA LLMs</title>
      <itunes:episode>255</itunes:episode>
      <podcast:episode>255</podcast:episode>
      <itunes:title>Data synthesis for SOTA LLMs</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2328</guid>
      <link>https://share.transistor.fm/s/01314cdb</link>
      <description>
        <![CDATA[<p>Nous Research has been pumping out some of the best open access LLMs using SOTA data synthesis techniques. Their Hermes family of models is incredibly popular! In this episode, Karan from Nous talks about the origins of Nous as a distributed collective of LLM researchers. We also get into fine-tuning strategies and why data synthesis works so well.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://readwriteown.com/?utm_source=changelog&amp;utm_medium=practicalai&amp;utm_campaign=changelog">Read Write Own</a> – Read, Write, Own: Building the Next Era of the Internet—a new book from entrepreneur and investor Chris Dixon—explores one possible solution to the internet’s authenticity problem: Blockchains. From AI that tracks its source material to generative programs that compensate—rather than cannibalize—creators. It’s a call to action for a more open, transparent, and democratic internet. One that opens the black box of AI, tracks the origins we see online, and much more. Order your copy of Read, Write, Own today at <a href="https://readwriteown.com/?utm_source=changelog&amp;utm_medium=practicalai&amp;utm_campaign=changelog">readwriteown.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Karan Malhotra – <a href="https://www.linkedin.com/in/karan-s-malhotra">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://huggingface.co/NousResearch">Nous on Hugging Face</a></li><li><a href="https://nousresearch.com/">Nous Research</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Nous Research has been pumping out some of the best open access LLMs using SOTA data synthesis techniques. Their Hermes family of models is incredibly popular! In this episode, Karan from Nous talks about the origins of Nous as a distributed collective of LLM researchers. We also get into fine-tuning strategies and why data synthesis works so well.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://readwriteown.com/?utm_source=changelog&amp;utm_medium=practicalai&amp;utm_campaign=changelog">Read Write Own</a> – Read, Write, Own: Building the Next Era of the Internet—a new book from entrepreneur and investor Chris Dixon—explores one possible solution to the internet’s authenticity problem: Blockchains. From AI that tracks its source material to generative programs that compensate—rather than cannibalize—creators. It’s a call to action for a more open, transparent, and democratic internet. One that opens the black box of AI, tracks the origins we see online, and much more. Order your copy of Read, Write, Own today at <a href="https://readwriteown.com/?utm_source=changelog&amp;utm_medium=practicalai&amp;utm_campaign=changelog">readwriteown.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Karan Malhotra – <a href="https://www.linkedin.com/in/karan-s-malhotra">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://huggingface.co/NousResearch">Nous on Hugging Face</a></li><li><a href="https://nousresearch.com/">Nous Research</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 06 Feb 2024 17:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/01314cdb/e401aff1.mp3" length="45349236" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2799</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Nous Research has been pumping out some of the best open access LLMs using SOTA data synthesis techniques. Their Hermes family of models is incredibly popular! In this episode, Karan from Nous talks about the origins of Nous as a distributed collective of LLM researchers. We also get into fine-tuning strategies and why data synthesis works so well.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://readwriteown.com/?utm_source=changelog&amp;utm_medium=practicalai&amp;utm_campaign=changelog">Read Write Own</a> – Read, Write, Own: Building the Next Era of the Internet—a new book from entrepreneur and investor Chris Dixon—explores one possible solution to the internet’s authenticity problem: Blockchains. From AI that tracks its source material to generative programs that compensate—rather than cannibalize—creators. It’s a call to action for a more open, transparent, and democratic internet. One that opens the black box of AI, tracks the origins we see online, and much more. Order your copy of Read, Write, Own today at <a href="https://readwriteown.com/?utm_source=changelog&amp;utm_medium=practicalai&amp;utm_campaign=changelog">readwriteown.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Karan Malhotra – <a href="https://www.linkedin.com/in/karan-s-malhotra">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://huggingface.co/NousResearch">Nous on Hugging Face</a></li><li><a href="https://nousresearch.com/">Nous Research</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/karan-malhotra" img="https://img.transistorcdn.com/M-VmYsj8P-Mh3LILZcTXvRi9vvweZYGJ1VCHgDBa0So/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mOWYz/OGVmZTFhYTk4MWFi/YjFiODJlN2YwZmFl/ZjRkNi5qcGVn.jpg">Karan Malhotra</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/01314cdb/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Large Action Models (LAMs) &amp; Rabbits 🐇</title>
      <itunes:episode>254</itunes:episode>
      <podcast:episode>254</podcast:episode>
      <itunes:title>Large Action Models (LAMs) &amp; Rabbits 🐇</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2321</guid>
      <link>https://share.transistor.fm/s/1155daea</link>
      <description>
        <![CDATA[<p>Recently the release of the rabbit r1 device resulted in huge interest in both the device and “Large Action Models” (or LAMs). What is an LAM? Is this something new? Did these models come out of nowhere, or are they related to other things we are already using? Chris and Daniel dig into LAMs in this episode and discuss neuro-symbolic AI, AI tool usage, multimodal models, and more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://readwriteown.com/?utm_source=changelog&amp;utm_medium=practicalai&amp;utm_campaign=changelog">Read Write Own</a> – Read, Write, Own: Building the Next Era of the Internet—a new book from entrepreneur and investor Chris Dixon—explores one possible solution to the internet’s authenticity problem: Blockchains. From AI that tracks its source material to generative programs that compensate—rather than cannibalize—creators. It’s a call to action for a more open, transparent, and democratic internet. One that opens the black box of AI, tracks the origins we see online, and much more. Order your copy of Read, Write, Own today at <a href="https://readwriteown.com/?utm_source=changelog&amp;utm_medium=practicalai&amp;utm_campaign=changelog">readwriteown.com</a></li><li><a href="https://www.shopify.com/practicalai">Shopify</a> – Sign up for a $1/month trial period at <a href="https://www.shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.rabbit.tech/">rabbit r1</a></li><li><a href="https://blog.salesforceairesearch.com/large-action-models/">Salesforce blog on LAMs</a></li><li><a href="https://python.langchain.com/docs/modules/agents/tools/">LangChain tools</a></li><li><a href="https://huggingface.co/papers/2401.13601">MM-LLMs: Recent Advances in MultiModal Large Language Models</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Recently the release of the rabbit r1 device resulted in huge interest in both the device and “Large Action Models” (or LAMs). What is an LAM? Is this something new? Did these models come out of nowhere, or are they related to other things we are already using? Chris and Daniel dig into LAMs in this episode and discuss neuro-symbolic AI, AI tool usage, multimodal models, and more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://readwriteown.com/?utm_source=changelog&amp;utm_medium=practicalai&amp;utm_campaign=changelog">Read Write Own</a> – Read, Write, Own: Building the Next Era of the Internet—a new book from entrepreneur and investor Chris Dixon—explores one possible solution to the internet’s authenticity problem: Blockchains. From AI that tracks its source material to generative programs that compensate—rather than cannibalize—creators. It’s a call to action for a more open, transparent, and democratic internet. One that opens the black box of AI, tracks the origins we see online, and much more. Order your copy of Read, Write, Own today at <a href="https://readwriteown.com/?utm_source=changelog&amp;utm_medium=practicalai&amp;utm_campaign=changelog">readwriteown.com</a></li><li><a href="https://www.shopify.com/practicalai">Shopify</a> – Sign up for a $1/month trial period at <a href="https://www.shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.rabbit.tech/">rabbit r1</a></li><li><a href="https://blog.salesforceairesearch.com/large-action-models/">Salesforce blog on LAMs</a></li><li><a href="https://python.langchain.com/docs/modules/agents/tools/">LangChain tools</a></li><li><a href="https://huggingface.co/papers/2401.13601">MM-LLMs: Recent Advances in MultiModal Large Language Models</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 30 Jan 2024 16:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/1155daea/d86f47d3.mp3" length="46519205" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2893</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Recently the release of the rabbit r1 device resulted in huge interest in both the device and “Large Action Models” (or LAMs). What is an LAM? Is this something new? Did these models come out of nowhere, or are they related to other things we are already using? Chris and Daniel dig into LAMs in this episode and discuss neuro-symbolic AI, AI tool usage, multimodal models, and more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://readwriteown.com/?utm_source=changelog&amp;utm_medium=practicalai&amp;utm_campaign=changelog">Read Write Own</a> – Read, Write, Own: Building the Next Era of the Internet—a new book from entrepreneur and investor Chris Dixon—explores one possible solution to the internet’s authenticity problem: Blockchains. From AI that tracks its source material to generative programs that compensate—rather than cannibalize—creators. It’s a call to action for a more open, transparent, and democratic internet. One that opens the black box of AI, tracks the origins we see online, and much more. Order your copy of Read, Write, Own today at <a href="https://readwriteown.com/?utm_source=changelog&amp;utm_medium=practicalai&amp;utm_campaign=changelog">readwriteown.com</a></li><li><a href="https://www.shopify.com/practicalai">Shopify</a> – Sign up for a $1/month trial period at <a href="https://www.shopify.com/practicalai">shopify.com/practicalai</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.rabbit.tech/">rabbit r1</a></li><li><a href="https://blog.salesforceairesearch.com/large-action-models/">Salesforce blog on LAMs</a></li><li><a href="https://python.langchain.com/docs/modules/agents/tools/">LangChain tools</a></li><li><a href="https://huggingface.co/papers/2401.13601">MM-LLMs: Recent Advances in MultiModal Large Language Models</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/1155daea/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Collaboration &amp; evaluation for LLM apps</title>
      <itunes:episode>253</itunes:episode>
      <podcast:episode>253</podcast:episode>
      <itunes:title>Collaboration &amp; evaluation for LLM apps</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2317</guid>
      <link>https://share.transistor.fm/s/5727b584</link>
      <description>
        <![CDATA[<p>Small changes in prompts can create large changes in the output behavior of generative AI models. Add to that the confusion around proper evaluation of LLM applications, and you have a recipe for confusion and frustration. Raza and the Humanloop team have been diving into these problems, and, in this episode, Raza helps us understand how non-technical prompt engineers can productively collaborate with technical software engineers while building AI-driven apps.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://readwriteown.com/?utm_source=changelog&amp;utm_medium=practicalai&amp;utm_campaign=changelog">Read Write Own</a> – Read, Write, Own: Building the Next Era of the Internet—a new book from entrepreneur and investor Chris Dixon—explores one possible solution to the internet’s authenticity problem: Blockchains. From AI that tracks its source material to generative programs that compensate—rather than cannibalize—creators. It’s a call to action for a more open, transparent, and democratic internet. One that opens the black box of AI, tracks the origins we see online, and much more. Order your copy of Read, Write, Own today at <a href="https://readwriteown.com/?utm_source=changelog&amp;utm_medium=practicalai&amp;utm_campaign=changelog">readwriteown.com</a></li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Raza Habib – <a href="https://www.linkedin.com/in/humanloop-raza">LinkedIn</a>, <a href="https://x.com/razrazcle">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://humanloop.com/">Humanloop</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Small changes in prompts can create large changes in the output behavior of generative AI models. Add to that the confusion around proper evaluation of LLM applications, and you have a recipe for confusion and frustration. Raza and the Humanloop team have been diving into these problems, and, in this episode, Raza helps us understand how non-technical prompt engineers can productively collaborate with technical software engineers while building AI-driven apps.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://readwriteown.com/?utm_source=changelog&amp;utm_medium=practicalai&amp;utm_campaign=changelog">Read Write Own</a> – Read, Write, Own: Building the Next Era of the Internet—a new book from entrepreneur and investor Chris Dixon—explores one possible solution to the internet’s authenticity problem: Blockchains. From AI that tracks its source material to generative programs that compensate—rather than cannibalize—creators. It’s a call to action for a more open, transparent, and democratic internet. One that opens the black box of AI, tracks the origins we see online, and much more. Order your copy of Read, Write, Own today at <a href="https://readwriteown.com/?utm_source=changelog&amp;utm_medium=practicalai&amp;utm_campaign=changelog">readwriteown.com</a></li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Raza Habib – <a href="https://www.linkedin.com/in/humanloop-raza">LinkedIn</a>, <a href="https://x.com/razrazcle">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://humanloop.com/">Humanloop</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 23 Jan 2024 17:30:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/5727b584/bf2f49b9.mp3" length="44626786" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2774</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Small changes in prompts can create large changes in the output behavior of generative AI models. Add to that the confusion around proper evaluation of LLM applications, and you have a recipe for confusion and frustration. Raza and the Humanloop team have been diving into these problems, and, in this episode, Raza helps us understand how non-technical prompt engineers can productively collaborate with technical software engineers while building AI-driven apps.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://readwriteown.com/?utm_source=changelog&amp;utm_medium=practicalai&amp;utm_campaign=changelog">Read Write Own</a> – Read, Write, Own: Building the Next Era of the Internet—a new book from entrepreneur and investor Chris Dixon—explores one possible solution to the internet’s authenticity problem: Blockchains. From AI that tracks its source material to generative programs that compensate—rather than cannibalize—creators. It’s a call to action for a more open, transparent, and democratic internet. One that opens the black box of AI, tracks the origins we see online, and much more. Order your copy of Read, Write, Own today at <a href="https://readwriteown.com/?utm_source=changelog&amp;utm_medium=practicalai&amp;utm_campaign=changelog">readwriteown.com</a></li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Raza Habib – <a href="https://www.linkedin.com/in/humanloop-raza">LinkedIn</a>, <a href="https://x.com/razrazcle">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://humanloop.com/">Humanloop</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/razrazcle" img="https://img.transistorcdn.com/N-ewwBnzqi8sN-vt7FKPHB7kqaqPl6oj8yaeaF6PLsY/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xZjcz/NTVjZWM3MzgzNzg0/NjY4NjNlYmFmNWE5/OWFlZi5qcGc.jpg">Raza Habib</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/5727b584/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Advent of GenAI Hackathon recap</title>
      <itunes:episode>252</itunes:episode>
      <podcast:episode>252</podcast:episode>
      <itunes:title>Advent of GenAI Hackathon recap</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2306</guid>
      <link>https://share.transistor.fm/s/23880001</link>
      <description>
        <![CDATA[<p>Recently, Intel’s Liftoff program for startups and Prediction Guard hosted the first ever “Advent of GenAI” hackathon. 2,000 people from all around the world participated in Generate AI related challenges over 7 days. In this episode, we discuss the hackathon, some of the creative solutions, the idea behind it, and more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://readwriteown.com">Read Write Own</a> – Read, Write, Own: Building the Next Era of the Internet—a new book from entrepreneur and investor Chris Dixon—explores one possible solution to the internet’s authenticity problem: Blockchains. From AI that tracks its source material to generative programs that compensate—rather than cannibalize—creators. It’s a call to action for a more open, transparent, and democratic internet. One that opens the black box of AI, tracks the origins we see online, and much more. Order your copy of Read, Write, Own today at <a href="https://readwriteown.com/?utm_source=changelog&amp;utm_medium=practicalai&amp;utm_campaign=changelog">readwriteown.com</a></li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Rahul Nair – <a href="https://github.com/rahulunair">GitHub</a>, <a href="https://www.linkedin.com/in/rahulunair">LinkedIn</a>, <a href="https://x.com/unrahu1">X</a></li><li>Ryan Metz – <a href="https://www.linkedin.com/in/ryanaemetz">LinkedIn</a>, <a href="https://x.com/RyanAEMetz">X</a></li><li>Eugenie Wirz – <a href="https://www.linkedin.com/in/eugeniewirz">LinkedIn</a></li><li>Ralph de Wargny – <a href="https://www.linkedin.com/in/ralphdw">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://adventofgenai.com/">Advent of GenAI Hackathon</a></li><li><a href="https://www.intel.com/content/www/us/en/developer/tools/oneapi/liftoff.html">Intel’s Liftoff program for startups</a></li><li><a href="https://www.predictionguard.com/">Prediction Guard</a></li><li>Blog posts: <ul><li><a href="https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Advent-of-GenAI-Hackathon-Recap-of-Challenge-1/post/1552069">Recap of Day 1</a></li><li><a href="https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Advent-of-GenAI-Hackathon-Recap-of-Challenge-2/post/1552264">Recap of Day 2</a></li><li><a href="https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Advent-of-GenAI-Hackathon-Recap-of-Challenge-3/post/1553059">Recap of Day 3</a></li><li><a href="https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Advent-of-GenAI-Hackathon-Recap-of-Challenge-4/post/1555115">Recap of Day 4</a></li><li><a href="https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Advent-of-GenAI-Hackathon-Recap-of-Challenge-5/post/1556530">Recap of Day 5</a></li><li><a href="https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Advent-of-GenAI-Hackathon-Recap-of-the-Final-Challenge-Custom/post/1556584">Final Challenge</a></li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Recently, Intel’s Liftoff program for startups and Prediction Guard hosted the first ever “Advent of GenAI” hackathon. 2,000 people from all around the world participated in Generate AI related challenges over 7 days. In this episode, we discuss the hackathon, some of the creative solutions, the idea behind it, and more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://readwriteown.com">Read Write Own</a> – Read, Write, Own: Building the Next Era of the Internet—a new book from entrepreneur and investor Chris Dixon—explores one possible solution to the internet’s authenticity problem: Blockchains. From AI that tracks its source material to generative programs that compensate—rather than cannibalize—creators. It’s a call to action for a more open, transparent, and democratic internet. One that opens the black box of AI, tracks the origins we see online, and much more. Order your copy of Read, Write, Own today at <a href="https://readwriteown.com/?utm_source=changelog&amp;utm_medium=practicalai&amp;utm_campaign=changelog">readwriteown.com</a></li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Rahul Nair – <a href="https://github.com/rahulunair">GitHub</a>, <a href="https://www.linkedin.com/in/rahulunair">LinkedIn</a>, <a href="https://x.com/unrahu1">X</a></li><li>Ryan Metz – <a href="https://www.linkedin.com/in/ryanaemetz">LinkedIn</a>, <a href="https://x.com/RyanAEMetz">X</a></li><li>Eugenie Wirz – <a href="https://www.linkedin.com/in/eugeniewirz">LinkedIn</a></li><li>Ralph de Wargny – <a href="https://www.linkedin.com/in/ralphdw">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://adventofgenai.com/">Advent of GenAI Hackathon</a></li><li><a href="https://www.intel.com/content/www/us/en/developer/tools/oneapi/liftoff.html">Intel’s Liftoff program for startups</a></li><li><a href="https://www.predictionguard.com/">Prediction Guard</a></li><li>Blog posts: <ul><li><a href="https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Advent-of-GenAI-Hackathon-Recap-of-Challenge-1/post/1552069">Recap of Day 1</a></li><li><a href="https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Advent-of-GenAI-Hackathon-Recap-of-Challenge-2/post/1552264">Recap of Day 2</a></li><li><a href="https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Advent-of-GenAI-Hackathon-Recap-of-Challenge-3/post/1553059">Recap of Day 3</a></li><li><a href="https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Advent-of-GenAI-Hackathon-Recap-of-Challenge-4/post/1555115">Recap of Day 4</a></li><li><a href="https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Advent-of-GenAI-Hackathon-Recap-of-Challenge-5/post/1556530">Recap of Day 5</a></li><li><a href="https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Advent-of-GenAI-Hackathon-Recap-of-the-Final-Challenge-Custom/post/1556584">Final Challenge</a></li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 17 Jan 2024 15:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>2870</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Recently, Intel’s Liftoff program for startups and Prediction Guard hosted the first ever “Advent of GenAI” hackathon. 2,000 people from all around the world participated in Generate AI related challenges over 7 days. In this episode, we discuss the hackathon, some of the creative solutions, the idea behind it, and more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://readwriteown.com">Read Write Own</a> – Read, Write, Own: Building the Next Era of the Internet—a new book from entrepreneur and investor Chris Dixon—explores one possible solution to the internet’s authenticity problem: Blockchains. From AI that tracks its source material to generative programs that compensate—rather than cannibalize—creators. It’s a call to action for a more open, transparent, and democratic internet. One that opens the black box of AI, tracks the origins we see online, and much more. Order your copy of Read, Write, Own today at <a href="https://readwriteown.com/?utm_source=changelog&amp;utm_medium=practicalai&amp;utm_campaign=changelog">readwriteown.com</a></li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Rahul Nair – <a href="https://github.com/rahulunair">GitHub</a>, <a href="https://www.linkedin.com/in/rahulunair">LinkedIn</a>, <a href="https://x.com/unrahu1">X</a></li><li>Ryan Metz – <a href="https://www.linkedin.com/in/ryanaemetz">LinkedIn</a>, <a href="https://x.com/RyanAEMetz">X</a></li><li>Eugenie Wirz – <a href="https://www.linkedin.com/in/eugeniewirz">LinkedIn</a></li><li>Ralph de Wargny – <a href="https://www.linkedin.com/in/ralphdw">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://adventofgenai.com/">Advent of GenAI Hackathon</a></li><li><a href="https://www.intel.com/content/www/us/en/developer/tools/oneapi/liftoff.html">Intel’s Liftoff program for startups</a></li><li><a href="https://www.predictionguard.com/">Prediction Guard</a></li><li>Blog posts: <ul><li><a href="https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Advent-of-GenAI-Hackathon-Recap-of-Challenge-1/post/1552069">Recap of Day 1</a></li><li><a href="https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Advent-of-GenAI-Hackathon-Recap-of-Challenge-2/post/1552264">Recap of Day 2</a></li><li><a href="https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Advent-of-GenAI-Hackathon-Recap-of-Challenge-3/post/1553059">Recap of Day 3</a></li><li><a href="https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Advent-of-GenAI-Hackathon-Recap-of-Challenge-4/post/1555115">Recap of Day 4</a></li><li><a href="https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Advent-of-GenAI-Hackathon-Recap-of-Challenge-5/post/1556530">Recap of Day 5</a></li><li><a href="https://community.intel.com/t5/Blogs/Tech-Innovation/Artificial-Intelligence-AI/Advent-of-GenAI-Hackathon-Recap-of-the-Final-Challenge-Custom/post/1556584">Final Challenge</a></li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/rahulunair" img="https://img.transistorcdn.com/v2KxJeKEG6qpEX2qRfCE8g1AZmQIpPUALbQ_kZycT-Q/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85MjY5/YWY4MTY1MWJjZWE5/MzA4MzE4M2NiZTIy/ZjVkNC5qcGVn.jpg">Rahul Nair</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/ryanaemetz" img="https://img.transistorcdn.com/BDE1LVrEbPvdD12CcqreEOdbkaKcGig1Fakh1PFCpC4/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZDVm/NmZmNDIzNzg5YzVl/ZjM3YjdiNTc2NjIx/ZTE5Ny5qcGVn.jpg">Ryan Metz</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/eugeniewirz" img="https://img.transistorcdn.com/CaP1pxSh3dRqAlunnKb4g_Iddfj0FhX5UB7MydScv7Q/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83YTI3/Y2VhNzQ0ZDg2MTRm/M2ViYjk4N2Q4YjU2/ZGE4My5qcGVn.jpg">Eugenie Wirz</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/ralphdw" img="https://img.transistorcdn.com/UHWPF9_qL5Jesipdcy-sFGo-kli9HWCuosqWINQx3BE/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xNjI4/MGM3MDEwMmI5ZWM0/N2NiODUzOTM2ZTFm/NzhhMC5qcGVn.jpg">Ralph de Wargny</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/23880001/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>AI predictions for 2024</title>
      <itunes:episode>251</itunes:episode>
      <podcast:episode>251</podcast:episode>
      <itunes:title>AI predictions for 2024</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2303</guid>
      <link>https://share.transistor.fm/s/796ef477</link>
      <description>
        <![CDATA[<p>We scoured the internet to find all the AI related predictions for 2024 (at least from people that might know what they are talking about), and, in this episode, we talk about some of the common themes. We also take a moment to look back at 2023 commenting with some distance on a crazy AI year.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We scoured the internet to find all the AI related predictions for 2024 (at least from people that might know what they are talking about), and, in this episode, we talk about some of the common themes. We also take a moment to look back at 2023 commenting with some distance on a crazy AI year.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 10 Jan 2024 14:30:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/796ef477/be7f6232.mp3" length="43404839" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2698</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We scoured the internet to find all the AI related predictions for 2024 (at least from people that might know what they are talking about), and, in this episode, we talk about some of the common themes. We also take a moment to look back at 2023 commenting with some distance on a crazy AI year.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/796ef477/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Open source, on-disk vector search with LanceDB</title>
      <itunes:episode>250</itunes:episode>
      <podcast:episode>250</podcast:episode>
      <itunes:title>Open source, on-disk vector search with LanceDB</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2291</guid>
      <link>https://share.transistor.fm/s/59efe3b9</link>
      <description>
        <![CDATA[<p>Prashanth Rao mentioned LanceDB as a stand out amongst the many vector DB options in <a href="https://changelog.com/practicalai/234">episode #234</a>. Now, Chang She (co-founder and CEO of LanceDB) joins us to talk through the specifics of their open source, on-disk, embedded vector search offering. We talk about how their unique columnar database structure enables serverless deployments and drastic savings (without performance hits) at scale. This one is super practical, so don’t miss it!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Chang She – <a href="https://github.com/changhiskhan">GitHub</a>, <a href="https://www.linkedin.com/in/changshe">LinkedIn</a>, <a href="https://x.com/changhiskhan">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://lancedb.com/">LanceDB</a></li><li><a href="https://changelog.com/practicalai/234">Episode #234 “Vector DBs beyond the hype”</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Prashanth Rao mentioned LanceDB as a stand out amongst the many vector DB options in <a href="https://changelog.com/practicalai/234">episode #234</a>. Now, Chang She (co-founder and CEO of LanceDB) joins us to talk through the specifics of their open source, on-disk, embedded vector search offering. We talk about how their unique columnar database structure enables serverless deployments and drastic savings (without performance hits) at scale. This one is super practical, so don’t miss it!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Chang She – <a href="https://github.com/changhiskhan">GitHub</a>, <a href="https://www.linkedin.com/in/changshe">LinkedIn</a>, <a href="https://x.com/changhiskhan">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://lancedb.com/">LanceDB</a></li><li><a href="https://changelog.com/practicalai/234">Episode #234 “Vector DBs beyond the hype”</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 19 Dec 2023 14:40:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/59efe3b9/7b786f9d.mp3" length="40409098" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2511</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Prashanth Rao mentioned LanceDB as a stand out amongst the many vector DB options in <a href="https://changelog.com/practicalai/234">episode #234</a>. Now, Chang She (co-founder and CEO of LanceDB) joins us to talk through the specifics of their open source, on-disk, embedded vector search offering. We talk about how their unique columnar database structure enables serverless deployments and drastic savings (without performance hits) at scale. This one is super practical, so don’t miss it!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Chang She – <a href="https://github.com/changhiskhan">GitHub</a>, <a href="https://www.linkedin.com/in/changshe">LinkedIn</a>, <a href="https://x.com/changhiskhan">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://lancedb.com/">LanceDB</a></li><li><a href="https://changelog.com/practicalai/234">Episode #234 “Vector DBs beyond the hype”</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/changshe" img="https://img.transistorcdn.com/5uT_F6EiECKE8LjmoJDFKSvHnZs87BUQ7lKMUlJVJbw/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85Yjc0/YWFmZjQ1OGYzYzZk/MGMxZTE3NTU3ZjY3/ZDIwNS5qcGc.jpg">Chang She</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>The state of open source AI</title>
      <itunes:episode>249</itunes:episode>
      <podcast:episode>249</podcast:episode>
      <itunes:title>The state of open source AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2287</guid>
      <link>https://share.transistor.fm/s/38b5e899</link>
      <description>
        <![CDATA[<p>The new open source AI book from PremAI starts with “As a data scientist/ML engineer/developer with a 9 to 5 job, it’s difficult to keep track of all the innovations.” We couldn’t agree more, and we are so happy that this week’s guest Casper (among other contributors) have created this resource for practitioners.</p><p>During the episode, we cover the key categories to think about as you try to navigate the open source AI ecosystem, and Casper gives his thoughts on fine-tuning, vector DBs &amp; more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Casper da Costa-Luis – <a href="https://github.com/casperdcl">GitHub</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><a href="https://book.premai.io/state-of-open-source-ai/index.html">State of Open Source AI Book - 2023 Edition</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>The new open source AI book from PremAI starts with “As a data scientist/ML engineer/developer with a 9 to 5 job, it’s difficult to keep track of all the innovations.” We couldn’t agree more, and we are so happy that this week’s guest Casper (among other contributors) have created this resource for practitioners.</p><p>During the episode, we cover the key categories to think about as you try to navigate the open source AI ecosystem, and Casper gives his thoughts on fine-tuning, vector DBs &amp; more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Casper da Costa-Luis – <a href="https://github.com/casperdcl">GitHub</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><a href="https://book.premai.io/state-of-open-source-ai/index.html">State of Open Source AI Book - 2023 Edition</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 12 Dec 2023 14:45:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/38b5e899/a6c844f0.mp3" length="41125153" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2555</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>The new open source AI book from PremAI starts with “As a data scientist/ML engineer/developer with a 9 to 5 job, it’s difficult to keep track of all the innovations.” We couldn’t agree more, and we are so happy that this week’s guest Casper (among other contributors) have created this resource for practitioners.</p><p>During the episode, we cover the key categories to think about as you try to navigate the open source AI ecosystem, and Casper gives his thoughts on fine-tuning, vector DBs &amp; more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Casper da Costa-Luis – <a href="https://github.com/casperdcl">GitHub</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><a href="https://book.premai.io/state-of-open-source-ai/index.html">State of Open Source AI Book - 2023 Edition</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/casperdcl" img="https://img.transistorcdn.com/j9gBUJ2oCs1Oba2MwLpnMy_yxHAlfv3TpN6wjMDXRCY/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84NzU4/ZWE3ZTMxNzkxYTM0/MWIxNTgyYjFmZjRj/YzMyNC5wbmc.jpg">Casper da Costa-Luis</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>Suspicion machines ⚙️</title>
      <itunes:episode>248</itunes:episode>
      <podcast:episode>248</podcast:episode>
      <itunes:title>Suspicion machines ⚙️</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2282</guid>
      <link>https://share.transistor.fm/s/ce204655</link>
      <description>
        <![CDATA[<p>In this enlightening episode, we delve deeper than the usual buzz surrounding AI’s perils, focusing instead on the tangible problems emerging from the use of machine learning algorithms across Europe. We explore “suspicion machines” — systems that assign scores to welfare program participants, estimating their likelihood of committing fraud. Join us as Justin and Gabriel share insights from their thorough investigation, which involved gaining access to one of these models and meticulously analyzing its behavior.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Gabriel Geiger – <a href="https://x.com/gabriels_geiger">X</a></li><li>Justin-Casimir Braun – <a href="https://x.com/jus_braun">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.wired.com/story/welfare-state-algorithms/">Article - “Inside the suspicion machine”</a></li><li><a href="https://pulitzercenter.org/stories/suspicion-machines-methodology">The methodology behind Justin and Gabriel’s report</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this enlightening episode, we delve deeper than the usual buzz surrounding AI’s perils, focusing instead on the tangible problems emerging from the use of machine learning algorithms across Europe. We explore “suspicion machines” — systems that assign scores to welfare program participants, estimating their likelihood of committing fraud. Join us as Justin and Gabriel share insights from their thorough investigation, which involved gaining access to one of these models and meticulously analyzing its behavior.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Gabriel Geiger – <a href="https://x.com/gabriels_geiger">X</a></li><li>Justin-Casimir Braun – <a href="https://x.com/jus_braun">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.wired.com/story/welfare-state-algorithms/">Article - “Inside the suspicion machine”</a></li><li><a href="https://pulitzercenter.org/stories/suspicion-machines-methodology">The methodology behind Justin and Gabriel’s report</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 05 Dec 2023 16:45:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/ce204655/818fa630.mp3" length="45274769" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2815</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this enlightening episode, we delve deeper than the usual buzz surrounding AI’s perils, focusing instead on the tangible problems emerging from the use of machine learning algorithms across Europe. We explore “suspicion machines” — systems that assign scores to welfare program participants, estimating their likelihood of committing fraud. Join us as Justin and Gabriel share insights from their thorough investigation, which involved gaining access to one of these models and meticulously analyzing its behavior.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Gabriel Geiger – <a href="https://x.com/gabriels_geiger">X</a></li><li>Justin-Casimir Braun – <a href="https://x.com/jus_braun">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.wired.com/story/welfare-state-algorithms/">Article - “Inside the suspicion machine”</a></li><li><a href="https://pulitzercenter.org/stories/suspicion-machines-methodology">The methodology behind Justin and Gabriel’s report</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/gabriel-geiger" img="https://img.transistorcdn.com/9p2hEm04fGvgYmzr8C14KvKCc6Y1_H_R4UR6KBE3c68/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81NWMy/NmYyZjc4NzE0Mzg2/MmE1OTkzMDhhMmY3/MmJlZS5qcGc.jpg">Gabriel Geiger</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/justin-casimir-braun" img="https://img.transistorcdn.com/tgwDXp7dxIep_-2DgG3Uo3GmdRVuIPJP7rwW1ukOfAc/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wNTk5/ODY0OTMyN2FjMjgx/NTkyOWQwZmRjZjVm/ZGRlZS5qcGc.jpg">Justin-Casimir Braun</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    </item>
    <item>
      <title>The OpenAI debacle (a retrospective)</title>
      <itunes:episode>247</itunes:episode>
      <podcast:episode>247</podcast:episode>
      <itunes:title>The OpenAI debacle (a retrospective)</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2279</guid>
      <link>https://share.transistor.fm/s/b792cebf</link>
      <description>
        <![CDATA[<p>Daniel &amp; Chris conduct a retrospective analysis of the recent OpenAI debacle in which CEO Sam Altman was sacked by the OpenAI board, only to return days later with a new supportive board. The events and people involved are discussed from start to finish along with the potential impact of these events on the AI industry.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://deploy.equinix.com/traceroute/">Traceroute</a> – Listen and follow Season 3 of Traceroute starting November 2 on Apple, Spotify, or wherever you get your podcasts! </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://en.wikipedia.org/wiki/OpenAI">OpenAI | Wikipedia</a></li><li><a href="https://www.npr.org/2023/11/24/1215015362/chatgpt-openai-sam-altman-fired-explained">How OpenAI’s origins explain the Sam Altman drama</a></li><li><a href="https://www.axios.com/2023/11/22/openai-microsoft-sam-altman-ceo-chaos-timeline">OpenAI chaos: A timeline of firings, interim CEOs, re-hirings and other twists</a></li><li><a href="https://www.reuters.com/technology/sam-altmans-ouster-openai-was-precipitated-by-letter-board-about-ai-breakthrough-2023-11-22">OpenAI researchers warned board of AI breakthrough ahead of CEO ouster, sources say</a></li><li><a href="https://www.businessinsider.com/openai-project-q-sam-altman-ia-model-explainer-2023-11">Everyone’s talking about OpenAI’s Q*. Here’s what you need to know about the mysterious project.</a></li><li><a href="https://www.nasdaq.com/articles/it-is-time-to-profit-off-of-the-openai-drama?time=1701022166">It is Time to Profit off of the OpenAI Drama</a></li><li><a href="https://www.linkedin.com/posts/yann-lecun_please-ignore-the-deluge-of-complete-nonsense-activity-7133900073117061121-tTmG">Yann LeCun | LinkedIn</a></li><li><a href="https://adventofgenai.com">Advent of GenAI Hackathon</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel &amp; Chris conduct a retrospective analysis of the recent OpenAI debacle in which CEO Sam Altman was sacked by the OpenAI board, only to return days later with a new supportive board. The events and people involved are discussed from start to finish along with the potential impact of these events on the AI industry.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://deploy.equinix.com/traceroute/">Traceroute</a> – Listen and follow Season 3 of Traceroute starting November 2 on Apple, Spotify, or wherever you get your podcasts! </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://en.wikipedia.org/wiki/OpenAI">OpenAI | Wikipedia</a></li><li><a href="https://www.npr.org/2023/11/24/1215015362/chatgpt-openai-sam-altman-fired-explained">How OpenAI’s origins explain the Sam Altman drama</a></li><li><a href="https://www.axios.com/2023/11/22/openai-microsoft-sam-altman-ceo-chaos-timeline">OpenAI chaos: A timeline of firings, interim CEOs, re-hirings and other twists</a></li><li><a href="https://www.reuters.com/technology/sam-altmans-ouster-openai-was-precipitated-by-letter-board-about-ai-breakthrough-2023-11-22">OpenAI researchers warned board of AI breakthrough ahead of CEO ouster, sources say</a></li><li><a href="https://www.businessinsider.com/openai-project-q-sam-altman-ia-model-explainer-2023-11">Everyone’s talking about OpenAI’s Q*. Here’s what you need to know about the mysterious project.</a></li><li><a href="https://www.nasdaq.com/articles/it-is-time-to-profit-off-of-the-openai-drama?time=1701022166">It is Time to Profit off of the OpenAI Drama</a></li><li><a href="https://www.linkedin.com/posts/yann-lecun_please-ignore-the-deluge-of-complete-nonsense-activity-7133900073117061121-tTmG">Yann LeCun | LinkedIn</a></li><li><a href="https://adventofgenai.com">Advent of GenAI Hackathon</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 29 Nov 2023 13:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/b792cebf/c86e0384.mp3" length="45472239" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2827</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel &amp; Chris conduct a retrospective analysis of the recent OpenAI debacle in which CEO Sam Altman was sacked by the OpenAI board, only to return days later with a new supportive board. The events and people involved are discussed from start to finish along with the potential impact of these events on the AI industry.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://deploy.equinix.com/traceroute/">Traceroute</a> – Listen and follow Season 3 of Traceroute starting November 2 on Apple, Spotify, or wherever you get your podcasts! </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://en.wikipedia.org/wiki/OpenAI">OpenAI | Wikipedia</a></li><li><a href="https://www.npr.org/2023/11/24/1215015362/chatgpt-openai-sam-altman-fired-explained">How OpenAI’s origins explain the Sam Altman drama</a></li><li><a href="https://www.axios.com/2023/11/22/openai-microsoft-sam-altman-ceo-chaos-timeline">OpenAI chaos: A timeline of firings, interim CEOs, re-hirings and other twists</a></li><li><a href="https://www.reuters.com/technology/sam-altmans-ouster-openai-was-precipitated-by-letter-board-about-ai-breakthrough-2023-11-22">OpenAI researchers warned board of AI breakthrough ahead of CEO ouster, sources say</a></li><li><a href="https://www.businessinsider.com/openai-project-q-sam-altman-ia-model-explainer-2023-11">Everyone’s talking about OpenAI’s Q*. Here’s what you need to know about the mysterious project.</a></li><li><a href="https://www.nasdaq.com/articles/it-is-time-to-profit-off-of-the-openai-drama?time=1701022166">It is Time to Profit off of the OpenAI Drama</a></li><li><a href="https://www.linkedin.com/posts/yann-lecun_please-ignore-the-deluge-of-complete-nonsense-activity-7133900073117061121-tTmG">Yann LeCun | LinkedIn</a></li><li><a href="https://adventofgenai.com">Advent of GenAI Hackathon</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    </item>
    <item>
      <title>Generating product imagery at Shopify</title>
      <itunes:episode>246</itunes:episode>
      <podcast:episode>246</podcast:episode>
      <itunes:title>Generating product imagery at Shopify</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2267</guid>
      <link>https://share.transistor.fm/s/82538875</link>
      <description>
        <![CDATA[<p>Shopify recently released a Hugging Face space demonstrating very impressive results for replacing background scenes in product imagery. In this episode, we hear the backstory technical details about this work from Shopify’s Russ Maschmeyer. Along the way we discuss how to come up with clever AI solutions (without training your own model).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://adventofgenai.com/">Advent of GenAI Hackathon</a> – Join us for a 7-day journey into the world of Generative AI with the Advent of GenAI Hackathon. <a href="https://adventofgenai.com/">Learn more here</a>! </li><li><a href="https://deploy.equinix.com/traceroute/">Traceroute</a> – Listen and follow Season 3 of Traceroute starting November 2 on Apple, Spotify, or wherever you get your podcasts! </li></ul><p>Featuring:</p><ul><li>Russ Maschmeyer – <a href="https://github.com/StrangeNative">GitHub</a>, <a href="https://www.linkedin.com/in/russmaschmeyer">LinkedIn</a>, <a href="https://sfba.social/@strangenative">Mastodon</a>, <a href="https://x.com/StrangeNative">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://adventofgenai.com/">Advent of GenAI Hackathon</a></li><li><a href="https://huggingface.co/spaces/Shopify/background-replacement">Shopify’s HF Space for background replacement</a></li><li><a href="https://www.shopify.com/magic">Shopify Magic</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Shopify recently released a Hugging Face space demonstrating very impressive results for replacing background scenes in product imagery. In this episode, we hear the backstory technical details about this work from Shopify’s Russ Maschmeyer. Along the way we discuss how to come up with clever AI solutions (without training your own model).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://adventofgenai.com/">Advent of GenAI Hackathon</a> – Join us for a 7-day journey into the world of Generative AI with the Advent of GenAI Hackathon. <a href="https://adventofgenai.com/">Learn more here</a>! </li><li><a href="https://deploy.equinix.com/traceroute/">Traceroute</a> – Listen and follow Season 3 of Traceroute starting November 2 on Apple, Spotify, or wherever you get your podcasts! </li></ul><p>Featuring:</p><ul><li>Russ Maschmeyer – <a href="https://github.com/StrangeNative">GitHub</a>, <a href="https://www.linkedin.com/in/russmaschmeyer">LinkedIn</a>, <a href="https://sfba.social/@strangenative">Mastodon</a>, <a href="https://x.com/StrangeNative">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://adventofgenai.com/">Advent of GenAI Hackathon</a></li><li><a href="https://huggingface.co/spaces/Shopify/background-replacement">Shopify’s HF Space for background replacement</a></li><li><a href="https://www.shopify.com/magic">Shopify Magic</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 21 Nov 2023 13:45:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/82538875/02d2ec8f.mp3" length="48467239" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3014</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Shopify recently released a Hugging Face space demonstrating very impressive results for replacing background scenes in product imagery. In this episode, we hear the backstory technical details about this work from Shopify’s Russ Maschmeyer. Along the way we discuss how to come up with clever AI solutions (without training your own model).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://adventofgenai.com/">Advent of GenAI Hackathon</a> – Join us for a 7-day journey into the world of Generative AI with the Advent of GenAI Hackathon. <a href="https://adventofgenai.com/">Learn more here</a>! </li><li><a href="https://deploy.equinix.com/traceroute/">Traceroute</a> – Listen and follow Season 3 of Traceroute starting November 2 on Apple, Spotify, or wherever you get your podcasts! </li></ul><p>Featuring:</p><ul><li>Russ Maschmeyer – <a href="https://github.com/StrangeNative">GitHub</a>, <a href="https://www.linkedin.com/in/russmaschmeyer">LinkedIn</a>, <a href="https://sfba.social/@strangenative">Mastodon</a>, <a href="https://x.com/StrangeNative">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://adventofgenai.com/">Advent of GenAI Hackathon</a></li><li><a href="https://huggingface.co/spaces/Shopify/background-replacement">Shopify’s HF Space for background replacement</a></li><li><a href="https://www.shopify.com/magic">Shopify Magic</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/strangenative" img="https://img.transistorcdn.com/NfwVrt2mRugdDExX5tnvmn8cbyrxSUQ8Wb-ACPYwIvo/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mNzZi/NGIxOGJiNzEwMjk1/NDViNGQ2OTFjMmE3/YTBjNS5qcGVn.jpg">Russ Maschmeyer</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/82538875/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>AI trailblazers putting people first</title>
      <itunes:episode>245</itunes:episode>
      <podcast:episode>245</podcast:episode>
      <itunes:title>AI trailblazers putting people first</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2261</guid>
      <link>https://share.transistor.fm/s/be2008fd</link>
      <description>
        <![CDATA[<p>According to Solana Larsen: “Too often, it feels like we have lost control of the internet to the interests of Big Tech, Big Data — and now Big AI.” In the latest season of Mozilla’s IRL podcast (edited by Solana), a number of stories are featured to highlight the trailblazers who are reclaiming power over AI to put people first. We discuss some of those stories along with the issues that they surface.</p><p><br>Sponsors:</p><ul><li><a href="https://deploy.equinix.com/traceroute/">Traceroute Podcast</a> – Listen and follow Season 3 of Traceroute starting November 2 on Apple, Spotify, or wherever you get your podcasts! </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Solana Larsen – <a href="https://www.linkedin.com/in/solana-larsen-016129">LinkedIn</a>, <a href="https://x.com/solanasaurus">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://foundation.mozilla.org/en/blog/season-7-of-mozillas-podcast-irl-interrogates-the-risks-and-rewards-of-ai/">Blog post announcing this season of IRL about putting people first in AI</a></li><li><a href="https://irlpodcast.org/">The IRL podcast</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>According to Solana Larsen: “Too often, it feels like we have lost control of the internet to the interests of Big Tech, Big Data — and now Big AI.” In the latest season of Mozilla’s IRL podcast (edited by Solana), a number of stories are featured to highlight the trailblazers who are reclaiming power over AI to put people first. We discuss some of those stories along with the issues that they surface.</p><p><br>Sponsors:</p><ul><li><a href="https://deploy.equinix.com/traceroute/">Traceroute Podcast</a> – Listen and follow Season 3 of Traceroute starting November 2 on Apple, Spotify, or wherever you get your podcasts! </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Solana Larsen – <a href="https://www.linkedin.com/in/solana-larsen-016129">LinkedIn</a>, <a href="https://x.com/solanasaurus">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://foundation.mozilla.org/en/blog/season-7-of-mozillas-podcast-irl-interrogates-the-risks-and-rewards-of-ai/">Blog post announcing this season of IRL about putting people first in AI</a></li><li><a href="https://irlpodcast.org/">The IRL podcast</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 14 Nov 2023 12:45:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/be2008fd/105c01b6.mp3" length="46037915" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2863</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>According to Solana Larsen: “Too often, it feels like we have lost control of the internet to the interests of Big Tech, Big Data — and now Big AI.” In the latest season of Mozilla’s IRL podcast (edited by Solana), a number of stories are featured to highlight the trailblazers who are reclaiming power over AI to put people first. We discuss some of those stories along with the issues that they surface.</p><p><br>Sponsors:</p><ul><li><a href="https://deploy.equinix.com/traceroute/">Traceroute Podcast</a> – Listen and follow Season 3 of Traceroute starting November 2 on Apple, Spotify, or wherever you get your podcasts! </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Solana Larsen – <a href="https://www.linkedin.com/in/solana-larsen-016129">LinkedIn</a>, <a href="https://x.com/solanasaurus">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://foundation.mozilla.org/en/blog/season-7-of-mozillas-podcast-irl-interrogates-the-risks-and-rewards-of-ai/">Blog post announcing this season of IRL about putting people first in AI</a></li><li><a href="https://irlpodcast.org/">The IRL podcast</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/solanasaurus" img="https://img.transistorcdn.com/G0B3Ydgt0krbv0qYNugZW2P--5LhMJUH3pJtvjhSy6E/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wYTFi/MDQ3ZDlhNmI2ZTU0/NmIxMGJjNzhjM2Ew/Y2JmZS5qcGVn.jpg">Solana Larsen</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/be2008fd/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Government regulation of AI has arrived</title>
      <itunes:episode>244</itunes:episode>
      <podcast:episode>244</podcast:episode>
      <itunes:title>Government regulation of AI has arrived</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2257</guid>
      <link>https://share.transistor.fm/s/c5cc7077</link>
      <description>
        <![CDATA[<p>On Monday, October 30, 2023, the U.S. White House issued its <a href="https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence">Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence</a>. Two days later, a policy paper was issued by the U.K. government entitled <a href="https://www.gov.uk/government/publications/ai-safety-summit-2023-the-bletchley-declaration/the-bletchley-declaration-by-countries-attending-the-ai-safety-summit-1-2-november-2023">The Bletchley Declaration by Countries Attending the AI Safety Summit, 1-2 November 2023</a>. It was signed by 29 countries, including the United States and China, the global leaders in AI research.</p><p>In this Fully Connected episode, Daniel and Chris parse the details and highlight key takeaways from these documents, especially the extensive and detailed executive order, which has the force of law in the United States.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://deploy.equinix.com/traceroute/">Traceroute Podcast</a> – Listen and follow Season 3 of Traceroute starting November 2 on Apple, Spotify, or wherever you get your podcasts! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence">Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence</a></li><li><a href="https://www.whitehouse.gov/briefing-room/statements-releases/2023/10/30/fact-sheet-president-biden-issues-executive-order-on-safe-secure-and-trustworthy-artificial-intelligence">FACT SHEET: President Biden Issues Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence</a></li><li><a href="https://www.gov.uk/government/publications/ai-safety-summit-2023-the-bletchley-declaration/the-bletchley-declaration-by-countries-attending-the-ai-safety-summit-1-2-november-2023">The Bletchley Declaration by Countries Attending the AI Safety Summit, 1-2 November 2023</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>On Monday, October 30, 2023, the U.S. White House issued its <a href="https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence">Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence</a>. Two days later, a policy paper was issued by the U.K. government entitled <a href="https://www.gov.uk/government/publications/ai-safety-summit-2023-the-bletchley-declaration/the-bletchley-declaration-by-countries-attending-the-ai-safety-summit-1-2-november-2023">The Bletchley Declaration by Countries Attending the AI Safety Summit, 1-2 November 2023</a>. It was signed by 29 countries, including the United States and China, the global leaders in AI research.</p><p>In this Fully Connected episode, Daniel and Chris parse the details and highlight key takeaways from these documents, especially the extensive and detailed executive order, which has the force of law in the United States.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://deploy.equinix.com/traceroute/">Traceroute Podcast</a> – Listen and follow Season 3 of Traceroute starting November 2 on Apple, Spotify, or wherever you get your podcasts! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence">Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence</a></li><li><a href="https://www.whitehouse.gov/briefing-room/statements-releases/2023/10/30/fact-sheet-president-biden-issues-executive-order-on-safe-secure-and-trustworthy-artificial-intelligence">FACT SHEET: President Biden Issues Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence</a></li><li><a href="https://www.gov.uk/government/publications/ai-safety-summit-2023-the-bletchley-declaration/the-bletchley-declaration-by-countries-attending-the-ai-safety-summit-1-2-november-2023">The Bletchley Declaration by Countries Attending the AI Safety Summit, 1-2 November 2023</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 07 Nov 2023 09:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/c5cc7077/f9f88fab.mp3" length="43522209" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2705</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>On Monday, October 30, 2023, the U.S. White House issued its <a href="https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence">Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence</a>. Two days later, a policy paper was issued by the U.K. government entitled <a href="https://www.gov.uk/government/publications/ai-safety-summit-2023-the-bletchley-declaration/the-bletchley-declaration-by-countries-attending-the-ai-safety-summit-1-2-november-2023">The Bletchley Declaration by Countries Attending the AI Safety Summit, 1-2 November 2023</a>. It was signed by 29 countries, including the United States and China, the global leaders in AI research.</p><p>In this Fully Connected episode, Daniel and Chris parse the details and highlight key takeaways from these documents, especially the extensive and detailed executive order, which has the force of law in the United States.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://deploy.equinix.com/traceroute/">Traceroute Podcast</a> – Listen and follow Season 3 of Traceroute starting November 2 on Apple, Spotify, or wherever you get your podcasts! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.whitehouse.gov/briefing-room/presidential-actions/2023/10/30/executive-order-on-the-safe-secure-and-trustworthy-development-and-use-of-artificial-intelligence">Executive Order on the Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence</a></li><li><a href="https://www.whitehouse.gov/briefing-room/statements-releases/2023/10/30/fact-sheet-president-biden-issues-executive-order-on-safe-secure-and-trustworthy-artificial-intelligence">FACT SHEET: President Biden Issues Executive Order on Safe, Secure, and Trustworthy Artificial Intelligence</a></li><li><a href="https://www.gov.uk/government/publications/ai-safety-summit-2023-the-bletchley-declaration/the-bletchley-declaration-by-countries-attending-the-ai-safety-summit-1-2-november-2023">The Bletchley Declaration by Countries Attending the AI Safety Summit, 1-2 November 2023</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/c5cc7077/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Self-hosting &amp; scaling models</title>
      <itunes:episode>243</itunes:episode>
      <podcast:episode>243</podcast:episode>
      <itunes:title>Self-hosting &amp; scaling models</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2254</guid>
      <link>https://share.transistor.fm/s/da056f75</link>
      <description>
        <![CDATA[<p>We’re excited to have Tuhin join us on the show once again to talk about self-hosting open access models. Tuhin’s company Baseten specializes in model deployment and monitoring at any scale, and it was a privilege to talk with him about the trends he is seeing in both tooling and usage of open access models. We were able to touch on the common use cases for integrating self-hosted models and how the boom in generative AI has influenced that ecosystem.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Tuhin Srivastava – <a href="https://github.com/tuhins">GitHub</a>, <a href="https://x.com/tuhinone">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.baseten.co/">Baseten</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We’re excited to have Tuhin join us on the show once again to talk about self-hosting open access models. Tuhin’s company Baseten specializes in model deployment and monitoring at any scale, and it was a privilege to talk with him about the trends he is seeing in both tooling and usage of open access models. We were able to touch on the common use cases for integrating self-hosted models and how the boom in generative AI has influenced that ecosystem.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Tuhin Srivastava – <a href="https://github.com/tuhins">GitHub</a>, <a href="https://x.com/tuhinone">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.baseten.co/">Baseten</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 31 Oct 2023 14:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/da056f75/b8f20316.mp3" length="39705992" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2467</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We’re excited to have Tuhin join us on the show once again to talk about self-hosting open access models. Tuhin’s company Baseten specializes in model deployment and monitoring at any scale, and it was a privilege to talk with him about the trends he is seeing in both tooling and usage of open access models. We were able to touch on the common use cases for integrating self-hosted models and how the boom in generative AI has influenced that ecosystem.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Tuhin Srivastava – <a href="https://github.com/tuhins">GitHub</a>, <a href="https://x.com/tuhinone">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.baseten.co/">Baseten</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/tuhinone" img="https://img.transistorcdn.com/SOXPRW_dWkvAAqlDVzY9OMoaHzF65ATxJO4VAw4hN6Y/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85YTQy/YWQ5YjNkYzRkNGU5/M2I2ZGQwYjgwM2U2/NDcwNS5qcGc.jpg">Tuhin Srivastava</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/da056f75/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Deep learning in Rust with Burn 🔥</title>
      <itunes:episode>242</itunes:episode>
      <podcast:episode>242</podcast:episode>
      <itunes:title>Deep learning in Rust with Burn 🔥</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2250</guid>
      <link>https://share.transistor.fm/s/11dc4d43</link>
      <description>
        <![CDATA[<p>It seems like everyone is interested in Rust these days. Even the most popular Python linter, Ruff, isn’t written in Python! It’s written in Rust. But what is the state of training or inferencing deep learning models in Rust? In this episode, we are joined by Nathaniel Simard, the creator burn. We discuss Rust in general, the need to have support for AI in multiple languages, and the current state of doing “AI things” in Rust.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.neo4j.com/nodes-2023?utm_source=Changelogpodcast&amp;utm_medium=nl&amp;utm_campaign=Nodes&amp;utm_content=Ad-1">Neo4j</a> – NODES 2023 is coming in October! </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Nathaniel Simard – <a href="https://github.com/nathanielsimard">GitHub</a>, <a href="https://www.linkedin.com/in/nathaniel-simard">LinkedIn</a>, <a href="https://x.com/nath_simard">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><a href="https://github.com/burn-rs/burn">burn-rs</a>: This library strives to serve as a comprehensive deep learning framework, offering exceptional flexibility and written in Rust.</p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>It seems like everyone is interested in Rust these days. Even the most popular Python linter, Ruff, isn’t written in Python! It’s written in Rust. But what is the state of training or inferencing deep learning models in Rust? In this episode, we are joined by Nathaniel Simard, the creator burn. We discuss Rust in general, the need to have support for AI in multiple languages, and the current state of doing “AI things” in Rust.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.neo4j.com/nodes-2023?utm_source=Changelogpodcast&amp;utm_medium=nl&amp;utm_campaign=Nodes&amp;utm_content=Ad-1">Neo4j</a> – NODES 2023 is coming in October! </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Nathaniel Simard – <a href="https://github.com/nathanielsimard">GitHub</a>, <a href="https://www.linkedin.com/in/nathaniel-simard">LinkedIn</a>, <a href="https://x.com/nath_simard">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><a href="https://github.com/burn-rs/burn">burn-rs</a>: This library strives to serve as a comprehensive deep learning framework, offering exceptional flexibility and written in Rust.</p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 24 Oct 2023 16:40:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/11dc4d43/fc5a862f.mp3" length="39189192" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2434</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>It seems like everyone is interested in Rust these days. Even the most popular Python linter, Ruff, isn’t written in Python! It’s written in Rust. But what is the state of training or inferencing deep learning models in Rust? In this episode, we are joined by Nathaniel Simard, the creator burn. We discuss Rust in general, the need to have support for AI in multiple languages, and the current state of doing “AI things” in Rust.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.neo4j.com/nodes-2023?utm_source=Changelogpodcast&amp;utm_medium=nl&amp;utm_campaign=Nodes&amp;utm_content=Ad-1">Neo4j</a> – NODES 2023 is coming in October! </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Nathaniel Simard – <a href="https://github.com/nathanielsimard">GitHub</a>, <a href="https://www.linkedin.com/in/nathaniel-simard">LinkedIn</a>, <a href="https://x.com/nath_simard">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><a href="https://github.com/burn-rs/burn">burn-rs</a>: This library strives to serve as a comprehensive deep learning framework, offering exceptional flexibility and written in Rust.</p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/nathanielsimard" img="https://img.transistorcdn.com/Is1BqnkWlvuVjDOopMiq2BEyWsjbCKs1HdE2TNW_DPk/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85OTIz/MGYyNzA1YjdmOWUz/NjMyNzkxMmJmZDM2/ZDM0ZS5qcGc.jpg">Nathaniel Simard</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/11dc4d43/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>AI's impact on developers</title>
      <itunes:episode>241</itunes:episode>
      <podcast:episode>241</podcast:episode>
      <itunes:title>AI's impact on developers</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2247</guid>
      <link>https://share.transistor.fm/s/03e961bf</link>
      <description>
        <![CDATA[<p>Chris &amp; Daniel are out this week, so we’re bringing you a panel discussion from <a href="https://2023.allthingsopen.org">All Things Open 2023</a> moderated by Jerod Santo (Practical AI producer and co-host of The Changelog) and featuring keynoters Emily Freeman and James Q Quick.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.neo4j.com/nodes-2023?utm_source=Changelogpodcast&amp;utm_medium=nl&amp;utm_campaign=Nodes&amp;utm_content=Ad-1">Neo4j</a> – NODES 2023 is coming in October! </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Emily Freeman – <a href="https://emilyfreeman.io/">Website</a>, <a href="https://github.com/emilyfreeman">GitHub</a>, <a href="https://hachyderm.io/@emilyfreeman">Mastodon</a>, <a href="https://x.com/editingemily">X</a></li><li>James Q Quick – <a href="https://www.jamesqquick.com">Website</a>, <a href="https://github.com/jamesqquick">GitHub</a>, <a href="https://x.com/jamesqquick">X</a></li><li>Jerod Santo – <a href="https://github.com/jerodsanto">GitHub</a>, <a href="https://www.linkedin.com/in/jerodsanto">LinkedIn</a>, <a href="https://changelog.social/@jerod">Mastodon</a>, <a href="https://x.com/jerodsanto">X</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Chris &amp; Daniel are out this week, so we’re bringing you a panel discussion from <a href="https://2023.allthingsopen.org">All Things Open 2023</a> moderated by Jerod Santo (Practical AI producer and co-host of The Changelog) and featuring keynoters Emily Freeman and James Q Quick.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.neo4j.com/nodes-2023?utm_source=Changelogpodcast&amp;utm_medium=nl&amp;utm_campaign=Nodes&amp;utm_content=Ad-1">Neo4j</a> – NODES 2023 is coming in October! </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Emily Freeman – <a href="https://emilyfreeman.io/">Website</a>, <a href="https://github.com/emilyfreeman">GitHub</a>, <a href="https://hachyderm.io/@emilyfreeman">Mastodon</a>, <a href="https://x.com/editingemily">X</a></li><li>James Q Quick – <a href="https://www.jamesqquick.com">Website</a>, <a href="https://github.com/jamesqquick">GitHub</a>, <a href="https://x.com/jamesqquick">X</a></li><li>Jerod Santo – <a href="https://github.com/jerodsanto">GitHub</a>, <a href="https://www.linkedin.com/in/jerodsanto">LinkedIn</a>, <a href="https://changelog.social/@jerod">Mastodon</a>, <a href="https://x.com/jerodsanto">X</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Fri, 20 Oct 2023 12:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/03e961bf/d5c37e94.mp3" length="46675270" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2902</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Chris &amp; Daniel are out this week, so we’re bringing you a panel discussion from <a href="https://2023.allthingsopen.org">All Things Open 2023</a> moderated by Jerod Santo (Practical AI producer and co-host of The Changelog) and featuring keynoters Emily Freeman and James Q Quick.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.neo4j.com/nodes-2023?utm_source=Changelogpodcast&amp;utm_medium=nl&amp;utm_campaign=Nodes&amp;utm_content=Ad-1">Neo4j</a> – NODES 2023 is coming in October! </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Emily Freeman – <a href="https://emilyfreeman.io/">Website</a>, <a href="https://github.com/emilyfreeman">GitHub</a>, <a href="https://hachyderm.io/@emilyfreeman">Mastodon</a>, <a href="https://x.com/editingemily">X</a></li><li>James Q Quick – <a href="https://www.jamesqquick.com">Website</a>, <a href="https://github.com/jamesqquick">GitHub</a>, <a href="https://x.com/jamesqquick">X</a></li><li>Jerod Santo – <a href="https://github.com/jerodsanto">GitHub</a>, <a href="https://www.linkedin.com/in/jerodsanto">LinkedIn</a>, <a href="https://changelog.social/@jerod">Mastodon</a>, <a href="https://x.com/jerodsanto">X</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/emilyfreeman" img="https://img.transistorcdn.com/YLmpt1ZEq-_69oiJA1xiLTuxW4tq0WCa0Um0YCn65do/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85MzA0/NmNhYzk3MTZmZjU1/MjJjY2VlMTljMmI2/NjE0MC5qcGc.jpg">Emily Freeman</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/jamesqquick" img="https://img.transistorcdn.com/WGUcAJFHnNk7haP26dIWJUtxLo6IZfxayAe9iwxzvGw/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80M2Q4/NTZmZTBjMWFhYmZi/YjBmMGQyZGU0ZTk1/MGE3Mi5qcGc.jpg">James Q Quick</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/jerodsanto" img="https://img.transistorcdn.com/4ynfahOBWUQNK-YP0MvuexJ-Idv-CKINobQjuuhReoc/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yMjIy/MWY0MmMzZTZlM2Y3/NzBjOTM3MDUxZGZh/YTBlYS5qcGVn.jpg">Jerod Santo</podcast:person>
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    <item>
      <title>Generative models: exploration to deployment</title>
      <itunes:episode>240</itunes:episode>
      <podcast:episode>240</podcast:episode>
      <itunes:title>Generative models: exploration to deployment</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2237</guid>
      <link>https://share.transistor.fm/s/e3e8f060</link>
      <description>
        <![CDATA[<p>What is the model lifecycle like for experimenting with and then deploying generative AI models? Although there are some similarities, this lifecycle differs somewhat from previous data science practices in that models are typically not trained from scratch (or even fine-tuned). Chris and Daniel give a high level overview in this effort and discuss model optimization and serving.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://neo4j.com/nodes">Neo4j</a> – NODES 2023 is coming in October! </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/intel-analytics/BigDL">BigDL</a></li><li><a href="https://huggingface.co/blog/4bit-transformers-bitsandbytes">Article: Making LLMs even more accessible with bitsandbytes, 4-bit quantization and QLoRA</a></li><li><a href="https://changelog.com/practicalai/221">Previous episode: Running large models on CPUs</a></li><li><a href="https://truss.baseten.co/welcome">Baseten’s Truss</a></li><li><a href="https://www.seldon.io/">Seldon</a></li><li><a href="https://github.com/huggingface/text-generation-inference">Hugging Face’s TGI</a></li><li><a href="https://habana.ai/products/gaudi2/">Intel Gaudi 2</a></li><li><a href="https://www.intel.com/content/www/us/en/developer/articles/technical/intel-trust-domain-extensions.html">Intel TDX</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>What is the model lifecycle like for experimenting with and then deploying generative AI models? Although there are some similarities, this lifecycle differs somewhat from previous data science practices in that models are typically not trained from scratch (or even fine-tuned). Chris and Daniel give a high level overview in this effort and discuss model optimization and serving.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://neo4j.com/nodes">Neo4j</a> – NODES 2023 is coming in October! </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/intel-analytics/BigDL">BigDL</a></li><li><a href="https://huggingface.co/blog/4bit-transformers-bitsandbytes">Article: Making LLMs even more accessible with bitsandbytes, 4-bit quantization and QLoRA</a></li><li><a href="https://changelog.com/practicalai/221">Previous episode: Running large models on CPUs</a></li><li><a href="https://truss.baseten.co/welcome">Baseten’s Truss</a></li><li><a href="https://www.seldon.io/">Seldon</a></li><li><a href="https://github.com/huggingface/text-generation-inference">Hugging Face’s TGI</a></li><li><a href="https://habana.ai/products/gaudi2/">Intel Gaudi 2</a></li><li><a href="https://www.intel.com/content/www/us/en/developer/articles/technical/intel-trust-domain-extensions.html">Intel TDX</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 03 Oct 2023 15:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>2942</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>What is the model lifecycle like for experimenting with and then deploying generative AI models? Although there are some similarities, this lifecycle differs somewhat from previous data science practices in that models are typically not trained from scratch (or even fine-tuned). Chris and Daniel give a high level overview in this effort and discuss model optimization and serving.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://neo4j.com/nodes">Neo4j</a> – NODES 2023 is coming in October! </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/intel-analytics/BigDL">BigDL</a></li><li><a href="https://huggingface.co/blog/4bit-transformers-bitsandbytes">Article: Making LLMs even more accessible with bitsandbytes, 4-bit quantization and QLoRA</a></li><li><a href="https://changelog.com/practicalai/221">Previous episode: Running large models on CPUs</a></li><li><a href="https://truss.baseten.co/welcome">Baseten’s Truss</a></li><li><a href="https://www.seldon.io/">Seldon</a></li><li><a href="https://github.com/huggingface/text-generation-inference">Hugging Face’s TGI</a></li><li><a href="https://habana.ai/products/gaudi2/">Intel Gaudi 2</a></li><li><a href="https://www.intel.com/content/www/us/en/developer/articles/technical/intel-trust-domain-extensions.html">Intel TDX</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>Automate all the UIs!</title>
      <itunes:episode>239</itunes:episode>
      <podcast:episode>239</podcast:episode>
      <itunes:title>Automate all the UIs!</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2215</guid>
      <link>https://share.transistor.fm/s/8d59e904</link>
      <description>
        <![CDATA[<p>Dominik Klotz from askui joins Daniel and Chris to discuss the automation of UI, and how AI empowers them to automate any use case on any operating system. Along the way, the trio explore various approaches and the integration of generative AI, large language models, and computer vision.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://statsig.com/changelog">Statsig</a> – <strong>Build faster with confidence.</strong> Startups to Fortune 500s rely on Statsig to make data-driven decisions. Ship smarter and faster with the unified platform for feature flags, experimentation, and analytics. Our listeners get free white-glove onboarding, migration support, and 5 million free events per month. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Dominik Klotz – <a href="https://github.com/programminx-askui">GitHub</a>, <a href="https://www.linkedin.com/in/dominik-klotz-127a931b7">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.askui.com">askui.com</a></li><li><a href="https://github.com/askui">askui on GitHub</a></li><li><a href="https://www.linkedin.com/company/askui">askui on LinkedIn</a></li><li><a href="https://twitter.com/ask_ui">askui on Twitter/X</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Dominik Klotz from askui joins Daniel and Chris to discuss the automation of UI, and how AI empowers them to automate any use case on any operating system. Along the way, the trio explore various approaches and the integration of generative AI, large language models, and computer vision.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://statsig.com/changelog">Statsig</a> – <strong>Build faster with confidence.</strong> Startups to Fortune 500s rely on Statsig to make data-driven decisions. Ship smarter and faster with the unified platform for feature flags, experimentation, and analytics. Our listeners get free white-glove onboarding, migration support, and 5 million free events per month. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Dominik Klotz – <a href="https://github.com/programminx-askui">GitHub</a>, <a href="https://www.linkedin.com/in/dominik-klotz-127a931b7">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.askui.com">askui.com</a></li><li><a href="https://github.com/askui">askui on GitHub</a></li><li><a href="https://www.linkedin.com/company/askui">askui on LinkedIn</a></li><li><a href="https://twitter.com/ask_ui">askui on Twitter/X</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 20 Sep 2023 12:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/8d59e904/b20409b2.mp3" length="41525636" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2581</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Dominik Klotz from askui joins Daniel and Chris to discuss the automation of UI, and how AI empowers them to automate any use case on any operating system. Along the way, the trio explore various approaches and the integration of generative AI, large language models, and computer vision.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://statsig.com/changelog">Statsig</a> – <strong>Build faster with confidence.</strong> Startups to Fortune 500s rely on Statsig to make data-driven decisions. Ship smarter and faster with the unified platform for feature flags, experimentation, and analytics. Our listeners get free white-glove onboarding, migration support, and 5 million free events per month. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Dominik Klotz – <a href="https://github.com/programminx-askui">GitHub</a>, <a href="https://www.linkedin.com/in/dominik-klotz-127a931b7">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.askui.com">askui.com</a></li><li><a href="https://github.com/askui">askui on GitHub</a></li><li><a href="https://www.linkedin.com/company/askui">askui on LinkedIn</a></li><li><a href="https://twitter.com/ask_ui">askui on Twitter/X</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/dominik-klotz" img="https://img.transistorcdn.com/M01C_suk8wRptam5RRejc4K_JzjnEZNlELfjHQwwTCk/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wZWY3/OTE2OTk1NzI2YWE5/ZWU1MWNiZjg1YWJi/NTgwMy5qcGVn.jpg">Dominik Klotz</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/8d59e904/chapters.json" type="application/json+chapters"/>
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    <item>
      <title>Fine-tuning vs RAG</title>
      <itunes:episode>238</itunes:episode>
      <podcast:episode>238</podcast:episode>
      <itunes:title>Fine-tuning vs RAG</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2203</guid>
      <link>https://share.transistor.fm/s/3df4a8e5</link>
      <description>
        <![CDATA[<p>In this episode we welcome back our good friend Demetrios from the MLOps Community to discuss fine-tuning vs. retrieval augmented generation. Along the way, we also chat about OpenAI Enterprise, results from the MLOps Community LLM survey, and the orchestration and evaluation of generative AI workloads.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Demetrios Brinkmann – <a href="https://x.com/Dpbrinkm">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://mlops.community/">MLOps Community</a></li><li><a href="https://mlops.community/surveys/llm/">LLM survey report</a></li><li><a href="https://home.mlops.community/public/events/llms-in-production-part-iii-2023-10-03">LLMs in Production Event - Part III</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this episode we welcome back our good friend Demetrios from the MLOps Community to discuss fine-tuning vs. retrieval augmented generation. Along the way, we also chat about OpenAI Enterprise, results from the MLOps Community LLM survey, and the orchestration and evaluation of generative AI workloads.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Demetrios Brinkmann – <a href="https://x.com/Dpbrinkm">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://mlops.community/">MLOps Community</a></li><li><a href="https://mlops.community/surveys/llm/">LLM survey report</a></li><li><a href="https://home.mlops.community/public/events/llms-in-production-part-iii-2023-10-03">LLMs in Production Event - Part III</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 06 Sep 2023 08:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/3df4a8e5/9724a01b.mp3" length="56029769" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3487</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this episode we welcome back our good friend Demetrios from the MLOps Community to discuss fine-tuning vs. retrieval augmented generation. Along the way, we also chat about OpenAI Enterprise, results from the MLOps Community LLM survey, and the orchestration and evaluation of generative AI workloads.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Demetrios Brinkmann – <a href="https://x.com/Dpbrinkm">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://mlops.community/">MLOps Community</a></li><li><a href="https://mlops.community/surveys/llm/">LLM survey report</a></li><li><a href="https://home.mlops.community/public/events/llms-in-production-part-iii-2023-10-03">LLMs in Production Event - Part III</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/demetrios" img="https://img.transistorcdn.com/VPMvW4nDWKZtMvGZe55OQEKQvA0qWeMhm5MFl1vBtuY/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kOWFm/Y2UwZjc0ZjdhZjAz/M2VhMGM0NWYwY2Ni/MzQ0NS5qcGc.jpg">Demetrios Brinkmann</podcast:person>
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    <item>
      <title>Automating code optimization with LLMs</title>
      <itunes:episode>237</itunes:episode>
      <podcast:episode>237</podcast:episode>
      <itunes:title>Automating code optimization with LLMs</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2196</guid>
      <link>https://share.transistor.fm/s/edad1d61</link>
      <description>
        <![CDATA[<p>You might have heard a lot about code generation tools using AI, but could LLMs and generative AI make our existing code better? In this episode, we sit down with Mike from TurinTech to hear about practical code optimizations using AI “translation” of slow to fast code. We learn about their process for accomplishing this task along with impressive results when automated code optimization is run on existing open source projects.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Mike Basios – <a href="https://www.linkedin.com/in/michail-basios-90410436">LinkedIn</a>, <a href="https://x.com/maik18">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.turintech.ai/">TurinTech AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>You might have heard a lot about code generation tools using AI, but could LLMs and generative AI make our existing code better? In this episode, we sit down with Mike from TurinTech to hear about practical code optimizations using AI “translation” of slow to fast code. We learn about their process for accomplishing this task along with impressive results when automated code optimization is run on existing open source projects.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Mike Basios – <a href="https://www.linkedin.com/in/michail-basios-90410436">LinkedIn</a>, <a href="https://x.com/maik18">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.turintech.ai/">TurinTech AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 29 Aug 2023 17:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/edad1d61/c36cbcc8.mp3" length="43427001" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2699</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>You might have heard a lot about code generation tools using AI, but could LLMs and generative AI make our existing code better? In this episode, we sit down with Mike from TurinTech to hear about practical code optimizations using AI “translation” of slow to fast code. We learn about their process for accomplishing this task along with impressive results when automated code optimization is run on existing open source projects.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Mike Basios – <a href="https://www.linkedin.com/in/michail-basios-90410436">LinkedIn</a>, <a href="https://x.com/maik18">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.turintech.ai/">TurinTech AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/maik18" img="https://img.transistorcdn.com/Eu8W1KHjAfZDUdqgcaTfbxi5GapJtTvVZt42wjz7LjE/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lNjYw/ZjczNjgwNzk0MDkx/M2Y4NTgzZDgzOTg0/NTY4My5qcGVn.jpg">Mike Basios</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    </item>
    <item>
      <title>The new AI app stack</title>
      <itunes:episode>236</itunes:episode>
      <podcast:episode>236</podcast:episode>
      <itunes:title>The new AI app stack</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2184</guid>
      <link>https://share.transistor.fm/s/99147ee2</link>
      <description>
        <![CDATA[<p>Recently a16z released a diagram showing the “Emerging Architectures for LLM Applications.” In this episode, we expand on things covered in that diagram to a more general mental model for the new AI app stack. We cover a variety of things from model “middleware” for caching and control to app orchestration.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><a href="https://a16z.com/2023/06/20/emerging-architectures-for-llm-applications/">Emerging Architectures for LLM Applications</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Recently a16z released a diagram showing the “Emerging Architectures for LLM Applications.” In this episode, we expand on things covered in that diagram to a more general mental model for the new AI app stack. We cover a variety of things from model “middleware” for caching and control to app orchestration.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><a href="https://a16z.com/2023/06/20/emerging-architectures-for-llm-applications/">Emerging Architectures for LLM Applications</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 23 Aug 2023 08:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/99147ee2/7f9fc73d.mp3" length="43613359" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2707</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Recently a16z released a diagram showing the “Emerging Architectures for LLM Applications.” In this episode, we expand on things covered in that diagram to a more general mental model for the new AI app stack. We cover a variety of things from model “middleware” for caching and control to app orchestration.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><a href="https://a16z.com/2023/06/20/emerging-architectures-for-llm-applications/">Emerging Architectures for LLM Applications</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/99147ee2/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Blueprint for an AI Bill of Rights</title>
      <itunes:episode>235</itunes:episode>
      <podcast:episode>235</podcast:episode>
      <itunes:title>Blueprint for an AI Bill of Rights</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2177</guid>
      <link>https://share.transistor.fm/s/5c0ca3eb</link>
      <description>
        <![CDATA[<p>In this Fully Connected episode, Daniel and Chris kick it off by noting that Stability AI released their SDXL 1.0 LLM! They discuss its virtues, and then dive into a discussion regarding how the United States, European Union, and other entities are approaching governance of AI through new laws and legal frameworks. In particular, they review the White House’s approach, noting the potential for unexpected consequences.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://stability.ai/blog/stable-diffusion-sdxl-1-announcement">Announcing SDXL 1.0</a></li><li><a href="https://cointelegraph.com/news/github-hugging-face-urge-eu-relax-open-source-ai-rules">GitHub, Hugging Face, urge EU to relax open-source AI rules</a></li><li><a href="https://www.whitehouse.gov/ostp/ai-bill-of-rights">White House: Blueprint for an AI Bill of Rights</a></li></ul><p>LEARNING RESOURCE!</p><ul><li><a href="https://eugeneyan.com/writing/llm-patterns">Patterns for Building LLM-based Systems &amp; Products</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this Fully Connected episode, Daniel and Chris kick it off by noting that Stability AI released their SDXL 1.0 LLM! They discuss its virtues, and then dive into a discussion regarding how the United States, European Union, and other entities are approaching governance of AI through new laws and legal frameworks. In particular, they review the White House’s approach, noting the potential for unexpected consequences.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://stability.ai/blog/stable-diffusion-sdxl-1-announcement">Announcing SDXL 1.0</a></li><li><a href="https://cointelegraph.com/news/github-hugging-face-urge-eu-relax-open-source-ai-rules">GitHub, Hugging Face, urge EU to relax open-source AI rules</a></li><li><a href="https://www.whitehouse.gov/ostp/ai-bill-of-rights">White House: Blueprint for an AI Bill of Rights</a></li></ul><p>LEARNING RESOURCE!</p><ul><li><a href="https://eugeneyan.com/writing/llm-patterns">Patterns for Building LLM-based Systems &amp; Products</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 09 Aug 2023 12:20:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/5c0ca3eb/c62759e6.mp3" length="40211432" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2498</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this Fully Connected episode, Daniel and Chris kick it off by noting that Stability AI released their SDXL 1.0 LLM! They discuss its virtues, and then dive into a discussion regarding how the United States, European Union, and other entities are approaching governance of AI through new laws and legal frameworks. In particular, they review the White House’s approach, noting the potential for unexpected consequences.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://stability.ai/blog/stable-diffusion-sdxl-1-announcement">Announcing SDXL 1.0</a></li><li><a href="https://cointelegraph.com/news/github-hugging-face-urge-eu-relax-open-source-ai-rules">GitHub, Hugging Face, urge EU to relax open-source AI rules</a></li><li><a href="https://www.whitehouse.gov/ostp/ai-bill-of-rights">White House: Blueprint for an AI Bill of Rights</a></li></ul><p>LEARNING RESOURCE!</p><ul><li><a href="https://eugeneyan.com/writing/llm-patterns">Patterns for Building LLM-based Systems &amp; Products</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/5c0ca3eb/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Vector databases (beyond the hype)</title>
      <itunes:episode>234</itunes:episode>
      <podcast:episode>234</podcast:episode>
      <itunes:title>Vector databases (beyond the hype)</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2173</guid>
      <link>https://share.transistor.fm/s/424fa922</link>
      <description>
        <![CDATA[<p>There’s so much talk (and hype) these days about vector databases. We thought it would be timely and practical to have someone on the show that has been hands on with the various options and actually tried to build applications leveraging vector search. Prashanth Rao is a real practitioner that has spent and huge amount of time exploring the expanding set of vector database offerings. After introducing vector database and giving us a mental model of how they fit in with other datastores, Prashanth digs into the trade offs as related to indices, hosting options, embedding vs. query optimization, and more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Prashanth Rao – <a href="https://thedataquarry.com">Website</a>, <a href="https://github.com/prrao87">GitHub</a>, <a href="https://www.linkedin.com/in/prrao87">LinkedIn</a>, <a href="https://x.com/tech_optimist">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Vector databases blog posts from Prashanth:</p><ul><li><a href="https://thedataquarry.com/posts/vector-db-1/">(Part 1): What makes each one different?</a></li><li><a href="https://thedataquarry.com/posts/vector-db-2/">(Part 2): Understanding their internals</a></li><li><a href="https://thedataquarry.com/posts/vector-db-3/">(Part 3): Not all indexes are created equal</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>There’s so much talk (and hype) these days about vector databases. We thought it would be timely and practical to have someone on the show that has been hands on with the various options and actually tried to build applications leveraging vector search. Prashanth Rao is a real practitioner that has spent and huge amount of time exploring the expanding set of vector database offerings. After introducing vector database and giving us a mental model of how they fit in with other datastores, Prashanth digs into the trade offs as related to indices, hosting options, embedding vs. query optimization, and more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Prashanth Rao – <a href="https://thedataquarry.com">Website</a>, <a href="https://github.com/prrao87">GitHub</a>, <a href="https://www.linkedin.com/in/prrao87">LinkedIn</a>, <a href="https://x.com/tech_optimist">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Vector databases blog posts from Prashanth:</p><ul><li><a href="https://thedataquarry.com/posts/vector-db-1/">(Part 1): What makes each one different?</a></li><li><a href="https://thedataquarry.com/posts/vector-db-2/">(Part 2): Understanding their internals</a></li><li><a href="https://thedataquarry.com/posts/vector-db-3/">(Part 3): Not all indexes are created equal</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 01 Aug 2023 14:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/424fa922/4c30b1af.mp3" length="49662435" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3089</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>There’s so much talk (and hype) these days about vector databases. We thought it would be timely and practical to have someone on the show that has been hands on with the various options and actually tried to build applications leveraging vector search. Prashanth Rao is a real practitioner that has spent and huge amount of time exploring the expanding set of vector database offerings. After introducing vector database and giving us a mental model of how they fit in with other datastores, Prashanth digs into the trade offs as related to indices, hosting options, embedding vs. query optimization, and more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Prashanth Rao – <a href="https://thedataquarry.com">Website</a>, <a href="https://github.com/prrao87">GitHub</a>, <a href="https://www.linkedin.com/in/prrao87">LinkedIn</a>, <a href="https://x.com/tech_optimist">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Vector databases blog posts from Prashanth:</p><ul><li><a href="https://thedataquarry.com/posts/vector-db-1/">(Part 1): What makes each one different?</a></li><li><a href="https://thedataquarry.com/posts/vector-db-2/">(Part 2): Understanding their internals</a></li><li><a href="https://thedataquarry.com/posts/vector-db-3/">(Part 3): Not all indexes are created equal</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/prrao87" img="https://img.transistorcdn.com/bdI0249xjllOzN8FnFdfayuxay7iCd8-3OsMt7Mt8Q8/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jYWJh/MDM5N2I2NjcyMzU5/ZjQ1Zjc0NWZkYTAw/YjNkNC5qcGc.jpg">Prashanth Rao</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/424fa922/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>There's a new Llama in town</title>
      <itunes:episode>233</itunes:episode>
      <podcast:episode>233</podcast:episode>
      <itunes:title>There's a new Llama in town</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2168</guid>
      <link>https://share.transistor.fm/s/50483491</link>
      <description>
        <![CDATA[<p>It was an amazing week in AI news. Among other things, there is a new NeRF and a new Llama in town!!! Zip-NeRF can create some amazing 3D scenes based on 2D images, and Llama 2 from Meta promises to change the LLM landscape. Chris and Daniel dive into these and they compare some of the recently released OpenAI functionality to Anthropic’s Claude 2.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://datagen.tech/guides/synthetic-data/neural-radiance-field-nerf/">What is NeRF article</a></li><li>Llama 2: <ul><li><a href="https://ai.meta.com/llama/">Llama 2 site</a></li><li><a href="https://arxiv.org/pdf/2302.13971.pdf">Llama 2 paper</a></li></ul></li><li><a href="https://openai.com/blog/chatgpt-plugins#code-interpreter">OpenAI Code Interpreter</a></li><li><a href="https://www.anthropic.com/index/claude-2">Anthropic Claude 2</a></li></ul><p>Learning resources:</p><ul><li><a href="https://huggingface.co/blog/llama2">Hugging Face guide to Llama 2</a></li><li><a href="https://www.philschmid.de/llama-2">LLaMA 2 - Every Resource you need</a></li><li><a href="https://www.oneusefulthing.org/p/what-ai-can-do-with-a-toolbox-getting">OpenAI code interpreter article</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>It was an amazing week in AI news. Among other things, there is a new NeRF and a new Llama in town!!! Zip-NeRF can create some amazing 3D scenes based on 2D images, and Llama 2 from Meta promises to change the LLM landscape. Chris and Daniel dive into these and they compare some of the recently released OpenAI functionality to Anthropic’s Claude 2.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://datagen.tech/guides/synthetic-data/neural-radiance-field-nerf/">What is NeRF article</a></li><li>Llama 2: <ul><li><a href="https://ai.meta.com/llama/">Llama 2 site</a></li><li><a href="https://arxiv.org/pdf/2302.13971.pdf">Llama 2 paper</a></li></ul></li><li><a href="https://openai.com/blog/chatgpt-plugins#code-interpreter">OpenAI Code Interpreter</a></li><li><a href="https://www.anthropic.com/index/claude-2">Anthropic Claude 2</a></li></ul><p>Learning resources:</p><ul><li><a href="https://huggingface.co/blog/llama2">Hugging Face guide to Llama 2</a></li><li><a href="https://www.philschmid.de/llama-2">LLaMA 2 - Every Resource you need</a></li><li><a href="https://www.oneusefulthing.org/p/what-ai-can-do-with-a-toolbox-getting">OpenAI code interpreter article</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 25 Jul 2023 15:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/50483491/f959ff29.mp3" length="46492168" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2891</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>It was an amazing week in AI news. Among other things, there is a new NeRF and a new Llama in town!!! Zip-NeRF can create some amazing 3D scenes based on 2D images, and Llama 2 from Meta promises to change the LLM landscape. Chris and Daniel dive into these and they compare some of the recently released OpenAI functionality to Anthropic’s Claude 2.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://datagen.tech/guides/synthetic-data/neural-radiance-field-nerf/">What is NeRF article</a></li><li>Llama 2: <ul><li><a href="https://ai.meta.com/llama/">Llama 2 site</a></li><li><a href="https://arxiv.org/pdf/2302.13971.pdf">Llama 2 paper</a></li></ul></li><li><a href="https://openai.com/blog/chatgpt-plugins#code-interpreter">OpenAI Code Interpreter</a></li><li><a href="https://www.anthropic.com/index/claude-2">Anthropic Claude 2</a></li></ul><p>Learning resources:</p><ul><li><a href="https://huggingface.co/blog/llama2">Hugging Face guide to Llama 2</a></li><li><a href="https://www.philschmid.de/llama-2">LLaMA 2 - Every Resource you need</a></li><li><a href="https://www.oneusefulthing.org/p/what-ai-can-do-with-a-toolbox-getting">OpenAI code interpreter article</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    </item>
    <item>
      <title>Legal consequences of generated content</title>
      <itunes:episode>232</itunes:episode>
      <podcast:episode>232</podcast:episode>
      <itunes:title>Legal consequences of generated content</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2165</guid>
      <link>https://share.transistor.fm/s/63e1f75a</link>
      <description>
        <![CDATA[<p>As a technologist, coder, and lawyer, few people are better equipped to discuss the legal and practical consequences of generative AI than Damien Riehl. He demonstrated this a couple years ago by generating, writing to disk, and then releasing every possible musical melody. Damien joins us to answer our many questions about generated content, copyright, dataset licensing/usage, and the future of knowledge work.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Damien Riehl – <a href="https://www.linkedin.com/in/damienriehl">LinkedIn</a>, <a href="https://law.builders/@damienriehl">Mastodon</a>, <a href="https://x.com/damienriehl">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://youtu.be/vy_569-Tmt8">Talk - Legal and Practical Consequences of Generative AI (LLMs like GPT, Bart, PaLM, LLaMA, Alpaca, Codex)</a></li><li><a href="https://youtu.be/rjpTBHjeZ_0">Talk - Why All Melodies Should Be Free for Musicians to Use | Damien Riehl | TED</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>As a technologist, coder, and lawyer, few people are better equipped to discuss the legal and practical consequences of generative AI than Damien Riehl. He demonstrated this a couple years ago by generating, writing to disk, and then releasing every possible musical melody. Damien joins us to answer our many questions about generated content, copyright, dataset licensing/usage, and the future of knowledge work.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Damien Riehl – <a href="https://www.linkedin.com/in/damienriehl">LinkedIn</a>, <a href="https://law.builders/@damienriehl">Mastodon</a>, <a href="https://x.com/damienriehl">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://youtu.be/vy_569-Tmt8">Talk - Legal and Practical Consequences of Generative AI (LLMs like GPT, Bart, PaLM, LLaMA, Alpaca, Codex)</a></li><li><a href="https://youtu.be/rjpTBHjeZ_0">Talk - Why All Melodies Should Be Free for Musicians to Use | Damien Riehl | TED</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 18 Jul 2023 14:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/63e1f75a/a9bf4b35.mp3" length="41368053" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2571</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>As a technologist, coder, and lawyer, few people are better equipped to discuss the legal and practical consequences of generative AI than Damien Riehl. He demonstrated this a couple years ago by generating, writing to disk, and then releasing every possible musical melody. Damien joins us to answer our many questions about generated content, copyright, dataset licensing/usage, and the future of knowledge work.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Damien Riehl – <a href="https://www.linkedin.com/in/damienriehl">LinkedIn</a>, <a href="https://law.builders/@damienriehl">Mastodon</a>, <a href="https://x.com/damienriehl">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://youtu.be/vy_569-Tmt8">Talk - Legal and Practical Consequences of Generative AI (LLMs like GPT, Bart, PaLM, LLaMA, Alpaca, Codex)</a></li><li><a href="https://youtu.be/rjpTBHjeZ_0">Talk - Why All Melodies Should Be Free for Musicians to Use | Damien Riehl | TED</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/damienriehl" img="https://img.transistorcdn.com/H0TnDOU4AHG6D-xXXCJtzbD0ihYq8zbs6Thphbj3GEw/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80YmY0/NjY3NTdmN2JkNzNj/NTNhMDI4OThhOWFm/OGEwYS5qcGc.jpg">Damien Riehl</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/63e1f75a/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>A developer's toolkit for SOTA AI</title>
      <itunes:episode>231</itunes:episode>
      <podcast:episode>231</podcast:episode>
      <itunes:title>A developer's toolkit for SOTA AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2128</guid>
      <link>https://share.transistor.fm/s/d3eff646</link>
      <description>
        <![CDATA[<p>Chris sat down with Varun Mohan and Anshul Ramachandran, CEO / Cofounder and Lead of Enterprise and Partnership at Codeium, respectively. They discussed how to streamline and enable modern development in generative AI and large language models (LLMs). Their new tool, Codeium, was born out of the insights they gleaned from their work in GPU software and solutions development, particularly with respect to generative AI, large language models, and supporting infrastructure. Codeium is a free AI-powered toolkit for developers, with in-house models and infrastructure - not another API wrapper.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Varun Mohan – <a href="https://www.linkedin.com/in/varunkmohan">LinkedIn</a></li><li>Anshul Ramachandran – <a href="https://www.linkedin.com/in/anshul-ramachandran">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://codeium.com">Codeium</a></li><li><a href="https://codeium.com/blog/what-github-copilot-lacks-finetuning-on-your-private-code">What GitHub Copilot Lacks: Fine-tuning on Your Private Code</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Chris sat down with Varun Mohan and Anshul Ramachandran, CEO / Cofounder and Lead of Enterprise and Partnership at Codeium, respectively. They discussed how to streamline and enable modern development in generative AI and large language models (LLMs). Their new tool, Codeium, was born out of the insights they gleaned from their work in GPU software and solutions development, particularly with respect to generative AI, large language models, and supporting infrastructure. Codeium is a free AI-powered toolkit for developers, with in-house models and infrastructure - not another API wrapper.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Varun Mohan – <a href="https://www.linkedin.com/in/varunkmohan">LinkedIn</a></li><li>Anshul Ramachandran – <a href="https://www.linkedin.com/in/anshul-ramachandran">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://codeium.com">Codeium</a></li><li><a href="https://codeium.com/blog/what-github-copilot-lacks-finetuning-on-your-private-code">What GitHub Copilot Lacks: Fine-tuning on Your Private Code</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 12 Jul 2023 17:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/d3eff646/a49c5bf7.mp3" length="40566809" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2521</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Chris sat down with Varun Mohan and Anshul Ramachandran, CEO / Cofounder and Lead of Enterprise and Partnership at Codeium, respectively. They discussed how to streamline and enable modern development in generative AI and large language models (LLMs). Their new tool, Codeium, was born out of the insights they gleaned from their work in GPU software and solutions development, particularly with respect to generative AI, large language models, and supporting infrastructure. Codeium is a free AI-powered toolkit for developers, with in-house models and infrastructure - not another API wrapper.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Varun Mohan – <a href="https://www.linkedin.com/in/varunkmohan">LinkedIn</a></li><li>Anshul Ramachandran – <a href="https://www.linkedin.com/in/anshul-ramachandran">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://codeium.com">Codeium</a></li><li><a href="https://codeium.com/blog/what-github-copilot-lacks-finetuning-on-your-private-code">What GitHub Copilot Lacks: Fine-tuning on Your Private Code</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/varunkmohan" img="https://img.transistorcdn.com/eLadBfa8jhs-e45dOGEFwS7bWX3BEi0bE_emz-F7aWE/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jNzMx/NDUyYjA5OGNiYmIw/ZjE4NzkwYTdhYzRk/Mjg5Yi5qcGVn.jpg">Varun Mohan</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/anshul-ramachandran" img="https://img.transistorcdn.com/e9VUcHQOA3a3-oIDyHXVJW7YdyZLVcdoCzaCQmE34Gs/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83ZGYz/NjJhNTg5MjNlMTRi/NTYzODM1NjEzYjMy/MWI1NC5qcGVn.jpg">Anshul Ramachandran</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/d3eff646/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Cambrian explosion of generative models</title>
      <itunes:episode>230</itunes:episode>
      <podcast:episode>230</podcast:episode>
      <itunes:title>Cambrian explosion of generative models</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2124</guid>
      <link>https://share.transistor.fm/s/f2ddd724</link>
      <description>
        <![CDATA[<p>In this Fully Connected episode, Daniel and Chris explore recent highlights from the current model proliferation wave sweeping the world - including Stable Diffusion XL, OpenChat, Zeroscope XL, and Salesforce XGen. They note the rapid rise of open models, and speculate that just as in open source software, open models will dominate the future. Such rapid advancement creates its own problems though, so they finish by itemizing concerns such as cybersecurity, workflow productivity, and impact on human culture.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://huggingface.co/stabilityai/stable-diffusion-xl-base-0.9">Stable Diffusion XL 0.9</a></li><li><a href="https://huggingface.co/openchat/openchat">OpenChat</a></li><li><a href="https://huggingface.co/cerspense/zeroscope_v2_XL">Zeroscope XL</a></li><li><a href="https://huggingface.co/Salesforce/xgen-7b-8k-base">Salesforce XGen</a></li><li><a href="https://txt.cohere.com/ai-is-eating-the-world">AI is Eating The World</a></li><li><a href="https://docs.cohere.com/docs/llmu">LLM university</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this Fully Connected episode, Daniel and Chris explore recent highlights from the current model proliferation wave sweeping the world - including Stable Diffusion XL, OpenChat, Zeroscope XL, and Salesforce XGen. They note the rapid rise of open models, and speculate that just as in open source software, open models will dominate the future. Such rapid advancement creates its own problems though, so they finish by itemizing concerns such as cybersecurity, workflow productivity, and impact on human culture.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://huggingface.co/stabilityai/stable-diffusion-xl-base-0.9">Stable Diffusion XL 0.9</a></li><li><a href="https://huggingface.co/openchat/openchat">OpenChat</a></li><li><a href="https://huggingface.co/cerspense/zeroscope_v2_XL">Zeroscope XL</a></li><li><a href="https://huggingface.co/Salesforce/xgen-7b-8k-base">Salesforce XGen</a></li><li><a href="https://txt.cohere.com/ai-is-eating-the-world">AI is Eating The World</a></li><li><a href="https://docs.cohere.com/docs/llmu">LLM university</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Thu, 06 Jul 2023 13:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/f2ddd724/6559f5aa.mp3" length="40736780" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2531</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this Fully Connected episode, Daniel and Chris explore recent highlights from the current model proliferation wave sweeping the world - including Stable Diffusion XL, OpenChat, Zeroscope XL, and Salesforce XGen. They note the rapid rise of open models, and speculate that just as in open source software, open models will dominate the future. Such rapid advancement creates its own problems though, so they finish by itemizing concerns such as cybersecurity, workflow productivity, and impact on human culture.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://huggingface.co/stabilityai/stable-diffusion-xl-base-0.9">Stable Diffusion XL 0.9</a></li><li><a href="https://huggingface.co/openchat/openchat">OpenChat</a></li><li><a href="https://huggingface.co/cerspense/zeroscope_v2_XL">Zeroscope XL</a></li><li><a href="https://huggingface.co/Salesforce/xgen-7b-8k-base">Salesforce XGen</a></li><li><a href="https://txt.cohere.com/ai-is-eating-the-world">AI is Eating The World</a></li><li><a href="https://docs.cohere.com/docs/llmu">LLM university</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/f2ddd724/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Automated cartography using AI</title>
      <itunes:episode>229</itunes:episode>
      <podcast:episode>229</podcast:episode>
      <itunes:title>Automated cartography using AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2119</guid>
      <link>https://share.transistor.fm/s/b1def249</link>
      <description>
        <![CDATA[<p>Your feed might be dominated by LLMs these days, but there are some amazing things happening in computer vision that you shouldn’t ignore! In this episode, we bring you one of those amazing stories from Gabriel Ortiz, who is working with the government of Cantabria in Spain to automate cartography and apply AI to geospatial analysis. We hear about how AI tooling fits into the GIS workflow, and Gabriel shares some of his recent work (including work that can identify individual people, invasive plant species, building and more from aerial survey data).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Gabriel Ortiz – <a href="https://www.linkedin.com/in/gabriel-ortiz-gis-cantabria">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://geocontenidos.maps.arcgis.com/apps/webappviewer/index.html?id=6b923b724cba46efb37411fdd89ec9fa">Automated cartography (integration of different models: buildings, roads, vegetation)</a></li><li><a href="https://storymaps.arcgis.com/stories/1db87a67f3614cc4b58f7e00f44af03e">Detecting and tracking the expansion of forests (period 1957-2020) using both legacy and modern imagery</a></li><li><a href="https://cantabria.maps.arcgis.com/apps/webappviewer/index.html?id=a7305e3e80394d769ff789bc6c4909c4">Tracking invader species</a></li><li><a href="https://experience.arcgis.com/experience/ba08444d130a47d4835b6cf2ddd2049a">Tracking urban growth with AI</a></li><li><a href="https://storymaps.arcgis.com/stories/862bf11ce2034208b47ef43f32a7e84a">Spatial behavior in beaches using AI</a></li><li><a href="https://geocontenidos.maps.arcgis.com/apps/mapviewer/index.html?webmap=921f134ac43240df8317d8d26d0caff1">Inference with SAM (Meta’s Segment Anything Model) over urban areas</a>/viewer.html?webmap=4af373c294e24394ae25e4acadab71cc</li><li><a href="https://cantabria.maps.arcgis.com/apps/webappviewer/index.html?id=f14ab31439644f118c3ca7ef8c2258c9">SuperResolution on aerial or satellite imagery</a></li><li>More of the work of Gabriel and his team can be seen <a href="https://mapas.cantabria.es">here</a> and also on his <a href="https://www.linkedin.com/in/gabriel-ortiz-gis-cantabria">LinkedIn profile</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Your feed might be dominated by LLMs these days, but there are some amazing things happening in computer vision that you shouldn’t ignore! In this episode, we bring you one of those amazing stories from Gabriel Ortiz, who is working with the government of Cantabria in Spain to automate cartography and apply AI to geospatial analysis. We hear about how AI tooling fits into the GIS workflow, and Gabriel shares some of his recent work (including work that can identify individual people, invasive plant species, building and more from aerial survey data).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Gabriel Ortiz – <a href="https://www.linkedin.com/in/gabriel-ortiz-gis-cantabria">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://geocontenidos.maps.arcgis.com/apps/webappviewer/index.html?id=6b923b724cba46efb37411fdd89ec9fa">Automated cartography (integration of different models: buildings, roads, vegetation)</a></li><li><a href="https://storymaps.arcgis.com/stories/1db87a67f3614cc4b58f7e00f44af03e">Detecting and tracking the expansion of forests (period 1957-2020) using both legacy and modern imagery</a></li><li><a href="https://cantabria.maps.arcgis.com/apps/webappviewer/index.html?id=a7305e3e80394d769ff789bc6c4909c4">Tracking invader species</a></li><li><a href="https://experience.arcgis.com/experience/ba08444d130a47d4835b6cf2ddd2049a">Tracking urban growth with AI</a></li><li><a href="https://storymaps.arcgis.com/stories/862bf11ce2034208b47ef43f32a7e84a">Spatial behavior in beaches using AI</a></li><li><a href="https://geocontenidos.maps.arcgis.com/apps/mapviewer/index.html?webmap=921f134ac43240df8317d8d26d0caff1">Inference with SAM (Meta’s Segment Anything Model) over urban areas</a>/viewer.html?webmap=4af373c294e24394ae25e4acadab71cc</li><li><a href="https://cantabria.maps.arcgis.com/apps/webappviewer/index.html?id=f14ab31439644f118c3ca7ef8c2258c9">SuperResolution on aerial or satellite imagery</a></li><li>More of the work of Gabriel and his team can be seen <a href="https://mapas.cantabria.es">here</a> and also on his <a href="https://www.linkedin.com/in/gabriel-ortiz-gis-cantabria">LinkedIn profile</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 28 Jun 2023 10:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/b1def249/925a471c.mp3" length="43061402" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2677</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Your feed might be dominated by LLMs these days, but there are some amazing things happening in computer vision that you shouldn’t ignore! In this episode, we bring you one of those amazing stories from Gabriel Ortiz, who is working with the government of Cantabria in Spain to automate cartography and apply AI to geospatial analysis. We hear about how AI tooling fits into the GIS workflow, and Gabriel shares some of his recent work (including work that can identify individual people, invasive plant species, building and more from aerial survey data).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Gabriel Ortiz – <a href="https://www.linkedin.com/in/gabriel-ortiz-gis-cantabria">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://geocontenidos.maps.arcgis.com/apps/webappviewer/index.html?id=6b923b724cba46efb37411fdd89ec9fa">Automated cartography (integration of different models: buildings, roads, vegetation)</a></li><li><a href="https://storymaps.arcgis.com/stories/1db87a67f3614cc4b58f7e00f44af03e">Detecting and tracking the expansion of forests (period 1957-2020) using both legacy and modern imagery</a></li><li><a href="https://cantabria.maps.arcgis.com/apps/webappviewer/index.html?id=a7305e3e80394d769ff789bc6c4909c4">Tracking invader species</a></li><li><a href="https://experience.arcgis.com/experience/ba08444d130a47d4835b6cf2ddd2049a">Tracking urban growth with AI</a></li><li><a href="https://storymaps.arcgis.com/stories/862bf11ce2034208b47ef43f32a7e84a">Spatial behavior in beaches using AI</a></li><li><a href="https://geocontenidos.maps.arcgis.com/apps/mapviewer/index.html?webmap=921f134ac43240df8317d8d26d0caff1">Inference with SAM (Meta’s Segment Anything Model) over urban areas</a>/viewer.html?webmap=4af373c294e24394ae25e4acadab71cc</li><li><a href="https://cantabria.maps.arcgis.com/apps/webappviewer/index.html?id=f14ab31439644f118c3ca7ef8c2258c9">SuperResolution on aerial or satellite imagery</a></li><li>More of the work of Gabriel and his team can be seen <a href="https://mapas.cantabria.es">here</a> and also on his <a href="https://www.linkedin.com/in/gabriel-ortiz-gis-cantabria">LinkedIn profile</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/gabriel-ortiz" img="https://img.transistorcdn.com/NiLC11XnsmXHAwL-ynIVylighi0uhjCUTgKrI2kT5I4/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81NGVm/ZWRkMDE4NGRkNWE4/NDUxYjA4NmFkOGVj/NWE2NC5qcGVn.jpg">Gabriel Ortiz</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    </item>
    <item>
      <title>From ML to AI to Generative AI</title>
      <itunes:episode>228</itunes:episode>
      <podcast:episode>228</podcast:episode>
      <itunes:title>From ML to AI to Generative AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2116</guid>
      <link>https://share.transistor.fm/s/2e62c4ad</link>
      <description>
        <![CDATA[<p>Chris and Daniel take a step back to look at how generative AI fits into the wider landscape of ML/AI and data science. They talk through the differences in how one approaches “traditional” supervised learning and how practitioners are approaching generative AI based solutions (such as those using Midjourney or GPT family models). Finally, they talk through the risk and compliance implications of generative AI, which was in the news this week in the EU.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.nytimes.com/2023/06/14/technology/europe-ai-regulation.html">NYT Article: “Europeans Take a Major Step Toward Regulating A.I.”</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Chris and Daniel take a step back to look at how generative AI fits into the wider landscape of ML/AI and data science. They talk through the differences in how one approaches “traditional” supervised learning and how practitioners are approaching generative AI based solutions (such as those using Midjourney or GPT family models). Finally, they talk through the risk and compliance implications of generative AI, which was in the news this week in the EU.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.nytimes.com/2023/06/14/technology/europe-ai-regulation.html">NYT Article: “Europeans Take a Major Step Toward Regulating A.I.”</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 21 Jun 2023 09:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/2e62c4ad/b6727bf8.mp3" length="45024251" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2799</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Chris and Daniel take a step back to look at how generative AI fits into the wider landscape of ML/AI and data science. They talk through the differences in how one approaches “traditional” supervised learning and how practitioners are approaching generative AI based solutions (such as those using Midjourney or GPT family models). Finally, they talk through the risk and compliance implications of generative AI, which was in the news this week in the EU.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.nytimes.com/2023/06/14/technology/europe-ai-regulation.html">NYT Article: “Europeans Take a Major Step Toward Regulating A.I.”</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/2e62c4ad/chapters.json" type="application/json+chapters"/>
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    <item>
      <title>AI trends: a Latent Space crossover</title>
      <itunes:episode>227</itunes:episode>
      <podcast:episode>227</podcast:episode>
      <itunes:title>AI trends: a Latent Space crossover</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2109</guid>
      <link>https://share.transistor.fm/s/8bb2b368</link>
      <description>
        <![CDATA[<p>Daniel had the chance to sit down with @swyx and Alessio from the <a href="https://www.latent.space/podcast">Latent Space pod</a> in SF to talk about current AI trends and to highlight some key learnings from past episodes. The discussion covers open access LLMs, smol models, model controls, prompt engineering, and LLMOps. This mashup is magical. Don’t miss it!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Shawn Wang – <a href="https://swyx.io">Website</a>, <a href="https://github.com/sw-yx">GitHub</a>, <a href="https://x.com/swyx">X</a></li><li>Alessio Fanelli – <a href="https://www.alessiofanelli.com">Website</a>, <a href="https://github.com/fanahova">GitHub</a>, <a href="https://x.com/FanaHOVA">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.latent.space/podcast">Latent Space podcast</a></li><li>Featured Latent Space episodes: <ul><li><a href="https://www.latent.space/p/benchmarks-101#details">Benchmarks</a></li><li><a href="https://www.latent.space/p/reza-shabani#details">Reza Shabani</a></li><li><a href="https://www.latent.space/p/mosaic-mpt-7b#details">MosaicML and MPT</a></li><li><a href="https://www.latent.space/p/segment-anything-roboflow#details">Segment Anything</a></li><li><a href="https://www.latent.space/p/mike-conover#details">Mike Conover</a></li></ul></li><li>Featured Practical AI episodes: <ul><li><a href="https://changelog.com/practicalai/150">From notebooks to Netflix scale with Metaflow</a></li><li><a href="https://changelog.com/practicalai/219">Capabilities of LLMs 🤯 </a></li><li><a href="https://changelog.com/practicalai/207">ML at small organizations</a></li></ul></li><li><a href="https://www.predictionguard.com/">Prediction Guard</a></li><li><a href="https://datadan.io/">Data Dan</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel had the chance to sit down with @swyx and Alessio from the <a href="https://www.latent.space/podcast">Latent Space pod</a> in SF to talk about current AI trends and to highlight some key learnings from past episodes. The discussion covers open access LLMs, smol models, model controls, prompt engineering, and LLMOps. This mashup is magical. Don’t miss it!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Shawn Wang – <a href="https://swyx.io">Website</a>, <a href="https://github.com/sw-yx">GitHub</a>, <a href="https://x.com/swyx">X</a></li><li>Alessio Fanelli – <a href="https://www.alessiofanelli.com">Website</a>, <a href="https://github.com/fanahova">GitHub</a>, <a href="https://x.com/FanaHOVA">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.latent.space/podcast">Latent Space podcast</a></li><li>Featured Latent Space episodes: <ul><li><a href="https://www.latent.space/p/benchmarks-101#details">Benchmarks</a></li><li><a href="https://www.latent.space/p/reza-shabani#details">Reza Shabani</a></li><li><a href="https://www.latent.space/p/mosaic-mpt-7b#details">MosaicML and MPT</a></li><li><a href="https://www.latent.space/p/segment-anything-roboflow#details">Segment Anything</a></li><li><a href="https://www.latent.space/p/mike-conover#details">Mike Conover</a></li></ul></li><li>Featured Practical AI episodes: <ul><li><a href="https://changelog.com/practicalai/150">From notebooks to Netflix scale with Metaflow</a></li><li><a href="https://changelog.com/practicalai/219">Capabilities of LLMs 🤯 </a></li><li><a href="https://changelog.com/practicalai/207">ML at small organizations</a></li></ul></li><li><a href="https://www.predictionguard.com/">Prediction Guard</a></li><li><a href="https://datadan.io/">Data Dan</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 14 Jun 2023 15:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/8bb2b368/e550cdc0.mp3" length="57493589" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3579</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel had the chance to sit down with @swyx and Alessio from the <a href="https://www.latent.space/podcast">Latent Space pod</a> in SF to talk about current AI trends and to highlight some key learnings from past episodes. The discussion covers open access LLMs, smol models, model controls, prompt engineering, and LLMOps. This mashup is magical. Don’t miss it!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Shawn Wang – <a href="https://swyx.io">Website</a>, <a href="https://github.com/sw-yx">GitHub</a>, <a href="https://x.com/swyx">X</a></li><li>Alessio Fanelli – <a href="https://www.alessiofanelli.com">Website</a>, <a href="https://github.com/fanahova">GitHub</a>, <a href="https://x.com/FanaHOVA">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.latent.space/podcast">Latent Space podcast</a></li><li>Featured Latent Space episodes: <ul><li><a href="https://www.latent.space/p/benchmarks-101#details">Benchmarks</a></li><li><a href="https://www.latent.space/p/reza-shabani#details">Reza Shabani</a></li><li><a href="https://www.latent.space/p/mosaic-mpt-7b#details">MosaicML and MPT</a></li><li><a href="https://www.latent.space/p/segment-anything-roboflow#details">Segment Anything</a></li><li><a href="https://www.latent.space/p/mike-conover#details">Mike Conover</a></li></ul></li><li>Featured Practical AI episodes: <ul><li><a href="https://changelog.com/practicalai/150">From notebooks to Netflix scale with Metaflow</a></li><li><a href="https://changelog.com/practicalai/219">Capabilities of LLMs 🤯 </a></li><li><a href="https://changelog.com/practicalai/207">ML at small organizations</a></li></ul></li><li><a href="https://www.predictionguard.com/">Prediction Guard</a></li><li><a href="https://datadan.io/">Data Dan</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/swyx" img="https://img.transistorcdn.com/COrskVAvc4fhhzoqY7514xqKDQzGM5mScw1gIIvquZw/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hMzVl/NWQwOWI4YzY4YWQ2/OThkMTkwN2U3YWE4/NTI2NC5qcGc.jpg">Shawn Wang</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/fanahova" img="https://img.transistorcdn.com/3LzYjh9-sP0X5d5ifHP8nRjJjrAs5szWpxfxFdPyz5Y/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jZjMz/ZjBjZjk2ZmFkODMw/NmNlNjU3NzcwNDBm/ZTJhMS5qcGc.jpg">Alessio Fanelli</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/8bb2b368/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Accidentally building SOTA AI</title>
      <itunes:episode>226</itunes:episode>
      <podcast:episode>226</podcast:episode>
      <itunes:title>Accidentally building SOTA AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2102</guid>
      <link>https://share.transistor.fm/s/cca816a0</link>
      <description>
        <![CDATA[<p>Lately.AI has been working for years on content generation systems that capture your unique “voice” and are tailored to your unique audience. At first, they didn’t know that they were going to build an AI system, but now they have a state-of-the-art generative platform that provides much more than “prompting” out of thin air. Lately.AI’s CEO Kate explain their journey, her perspective on generative AI in marketing, and much more in this episode!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Kate Bradley Chernis – <a href="https://www.linkedin.com/in/katebradley">LinkedIn</a>, <a href="https://x.com/LatelyAIKately">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.lately.ai/">Lately.AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Lately.AI has been working for years on content generation systems that capture your unique “voice” and are tailored to your unique audience. At first, they didn’t know that they were going to build an AI system, but now they have a state-of-the-art generative platform that provides much more than “prompting” out of thin air. Lately.AI’s CEO Kate explain their journey, her perspective on generative AI in marketing, and much more in this episode!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Kate Bradley Chernis – <a href="https://www.linkedin.com/in/katebradley">LinkedIn</a>, <a href="https://x.com/LatelyAIKately">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.lately.ai/">Lately.AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 06 Jun 2023 16:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/cca816a0/d2fad3bc.mp3" length="40587651" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2522</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Lately.AI has been working for years on content generation systems that capture your unique “voice” and are tailored to your unique audience. At first, they didn’t know that they were going to build an AI system, but now they have a state-of-the-art generative platform that provides much more than “prompting” out of thin air. Lately.AI’s CEO Kate explain their journey, her perspective on generative AI in marketing, and much more in this episode!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Kate Bradley Chernis – <a href="https://www.linkedin.com/in/katebradley">LinkedIn</a>, <a href="https://x.com/LatelyAIKately">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.lately.ai/">Lately.AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/katebradley" img="https://img.transistorcdn.com/NbpeUTuh3kmtqEfHVyB9_gh3SSHCh-Rqwyj3icem1NA/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yYjI2/MDE5YzVmOTA3Njcx/ZDczMDlmZGQ5MmNm/MWM2MC5qcGc.jpg">Kate Bradley Chernis</podcast:person>
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      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    </item>
    <item>
      <title>Controlled and compliant AI applications</title>
      <itunes:episode>225</itunes:episode>
      <podcast:episode>225</podcast:episode>
      <itunes:title>Controlled and compliant AI applications</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2095</guid>
      <link>https://share.transistor.fm/s/4817f35b</link>
      <description>
        <![CDATA[<p>You can’t build robust systems with inconsistent, unstructured text output from LLMs. Moreover, LLM integrations scare corporate lawyers, finance departments, and security professionals due to hallucinations, cost, lack of compliance (e.g., HIPAA), leaked IP/PII, and “injection” vulnerabilities.</p><p>In this episode, Chris interviews Daniel about his new company called <a href="https://www.predictionguard.com/">Prediction Guard</a>, which addresses these issues. They discuss some practical methodologies for getting consistent, structured output from compliant AI systems. These systems, driven by open access models and various kinds of LLM wrappers, can help you delight customers AND navigate the increasing restrictions on “GPT” models.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.predictionguard.com/">Prediction Guard</a></li><li><a href="https://docs.predictionguard.com/">Prediction Guard docs</a></li><li><a href="https://home.mlops.community/public/events/llm-in-prod-part-ii-2023-06-20">LLMs in Production II event</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>You can’t build robust systems with inconsistent, unstructured text output from LLMs. Moreover, LLM integrations scare corporate lawyers, finance departments, and security professionals due to hallucinations, cost, lack of compliance (e.g., HIPAA), leaked IP/PII, and “injection” vulnerabilities.</p><p>In this episode, Chris interviews Daniel about his new company called <a href="https://www.predictionguard.com/">Prediction Guard</a>, which addresses these issues. They discuss some practical methodologies for getting consistent, structured output from compliant AI systems. These systems, driven by open access models and various kinds of LLM wrappers, can help you delight customers AND navigate the increasing restrictions on “GPT” models.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.predictionguard.com/">Prediction Guard</a></li><li><a href="https://docs.predictionguard.com/">Prediction Guard docs</a></li><li><a href="https://home.mlops.community/public/events/llm-in-prod-part-ii-2023-06-20">LLMs in Production II event</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 31 May 2023 13:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2981</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>You can’t build robust systems with inconsistent, unstructured text output from LLMs. Moreover, LLM integrations scare corporate lawyers, finance departments, and security professionals due to hallucinations, cost, lack of compliance (e.g., HIPAA), leaked IP/PII, and “injection” vulnerabilities.</p><p>In this episode, Chris interviews Daniel about his new company called <a href="https://www.predictionguard.com/">Prediction Guard</a>, which addresses these issues. They discuss some practical methodologies for getting consistent, structured output from compliant AI systems. These systems, driven by open access models and various kinds of LLM wrappers, can help you delight customers AND navigate the increasing restrictions on “GPT” models.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.predictionguard.com/">Prediction Guard</a></li><li><a href="https://docs.predictionguard.com/">Prediction Guard docs</a></li><li><a href="https://home.mlops.community/public/events/llm-in-prod-part-ii-2023-06-20">LLMs in Production II event</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    </item>
    <item>
      <title>Data augmentation with LlamaIndex</title>
      <itunes:episode>224</itunes:episode>
      <podcast:episode>224</podcast:episode>
      <itunes:title>Data augmentation with LlamaIndex</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2085</guid>
      <link>https://share.transistor.fm/s/d3e7ab55</link>
      <description>
        <![CDATA[<p>Large Language Models (LLMs) continue to amaze us with their capabilities. However, the utilization of LLMs in production AI applications requires the integration of private data. Join us as we have a captivating conversation with Jerry Liu from LlamaIndex, where he provides valuable insights into the process of data ingestion, indexing, and query specifically tailored for LLM applications. Delving into the topic, we uncover different query patterns and venture beyond the realm of vector databases.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Jerry Liu – <a href="https://github.com/jerryjliu">GitHub</a>, <a href="https://x.com/jerryjliu0">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://gpt-index.readthedocs.io/en/latest/">LlamaIndex Docs</a></li><li><a href="https://llamahub.ai/">LlamaHub</a></li><li><a href="https://medium.com/llamaindex-blog">LlamaIndex Blog</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Large Language Models (LLMs) continue to amaze us with their capabilities. However, the utilization of LLMs in production AI applications requires the integration of private data. Join us as we have a captivating conversation with Jerry Liu from LlamaIndex, where he provides valuable insights into the process of data ingestion, indexing, and query specifically tailored for LLM applications. Delving into the topic, we uncover different query patterns and venture beyond the realm of vector databases.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Jerry Liu – <a href="https://github.com/jerryjliu">GitHub</a>, <a href="https://x.com/jerryjliu0">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://gpt-index.readthedocs.io/en/latest/">LlamaIndex Docs</a></li><li><a href="https://llamahub.ai/">LlamaHub</a></li><li><a href="https://medium.com/llamaindex-blog">LlamaIndex Blog</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 23 May 2023 12:15:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/d3e7ab55/9a34cf29.mp3" length="43283768" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2690</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Large Language Models (LLMs) continue to amaze us with their capabilities. However, the utilization of LLMs in production AI applications requires the integration of private data. Join us as we have a captivating conversation with Jerry Liu from LlamaIndex, where he provides valuable insights into the process of data ingestion, indexing, and query specifically tailored for LLM applications. Delving into the topic, we uncover different query patterns and venture beyond the realm of vector databases.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Jerry Liu – <a href="https://github.com/jerryjliu">GitHub</a>, <a href="https://x.com/jerryjliu0">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://gpt-index.readthedocs.io/en/latest/">LlamaIndex Docs</a></li><li><a href="https://llamahub.ai/">LlamaHub</a></li><li><a href="https://medium.com/llamaindex-blog">LlamaIndex Blog</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/jerryliu" img="https://img.transistorcdn.com/qvt6exW4LSPmiOoPNypsP-dUNLlAQLEuNsdLjVwew68/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lZTcz/MDM5MjBhYTE5OTEy/NGU1YTcxMTA2NDE3/NTMzNC5qcGVn.jpg">Jerry Liu</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>Creating instruction tuned models</title>
      <itunes:episode>223</itunes:episode>
      <podcast:episode>223</podcast:episode>
      <itunes:title>Creating instruction tuned models</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2081</guid>
      <link>https://share.transistor.fm/s/e4bc043b</link>
      <description>
        <![CDATA[<p>At the recent ODSC East conference, Daniel got a chance to sit down with Erin Mikail Staples to discuss the process of gathering human feedback and creating an instruction tuned Large Language Models (LLM). They also chatted about the importance of open data and practical tooling for data annotation and fine-tuning. Do you want to create your own custom generative AI models? This is the episode for you!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Erin Mikail Staples – <a href="https://mastodon.social/@erinmikail">Mastodon</a>, <a href="https://x.com/erinmikail">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://labelstud.io/">Label Studio</a></li><li><a href="https://docs.google.com/presentation/d/17GDvbYAf3SfuNTRNzbuX5We3mVKBwnAE-wX5I1XOP6w/edit?usp=sharing">Slides from Erin’s recent PyData talk on RLHF</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>At the recent ODSC East conference, Daniel got a chance to sit down with Erin Mikail Staples to discuss the process of gathering human feedback and creating an instruction tuned Large Language Models (LLM). They also chatted about the importance of open data and practical tooling for data annotation and fine-tuning. Do you want to create your own custom generative AI models? This is the episode for you!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Erin Mikail Staples – <a href="https://mastodon.social/@erinmikail">Mastodon</a>, <a href="https://x.com/erinmikail">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://labelstud.io/">Label Studio</a></li><li><a href="https://docs.google.com/presentation/d/17GDvbYAf3SfuNTRNzbuX5We3mVKBwnAE-wX5I1XOP6w/edit?usp=sharing">Slides from Erin’s recent PyData talk on RLHF</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 16 May 2023 14:20:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/e4bc043b/52bf883f.mp3" length="25689993" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>1591</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>At the recent ODSC East conference, Daniel got a chance to sit down with Erin Mikail Staples to discuss the process of gathering human feedback and creating an instruction tuned Large Language Models (LLM). They also chatted about the importance of open data and practical tooling for data annotation and fine-tuning. Do you want to create your own custom generative AI models? This is the episode for you!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Erin Mikail Staples – <a href="https://mastodon.social/@erinmikail">Mastodon</a>, <a href="https://x.com/erinmikail">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://labelstud.io/">Label Studio</a></li><li><a href="https://docs.google.com/presentation/d/17GDvbYAf3SfuNTRNzbuX5We3mVKBwnAE-wX5I1XOP6w/edit?usp=sharing">Slides from Erin’s recent PyData talk on RLHF</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/erinmikail" img="https://img.transistorcdn.com/XvE8_AVa09lB25CZcqfP4WSW3xa93KnKlEFjhT0JE2Q/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80MzY2/ZTRmZmMzYjBiOWI3/NTk0MTgzYThlNmQ4/Yzk0NC5qcGc.jpg">Erin Mikail Staples</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>The last mile of AI app development</title>
      <itunes:episode>222</itunes:episode>
      <podcast:episode>222</podcast:episode>
      <itunes:title>The last mile of AI app development</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2074</guid>
      <link>https://share.transistor.fm/s/7e30e465</link>
      <description>
        <![CDATA[<p>There are a ton of problems around building LLM apps in production and the last mile of that problem. Travis Fischer, builder of open AI projects like @ChatGPTBot, joins us to talk through these problems (and how to overcome them). He helps us understand the hierarchy of complexity from simple prompting to augmentation, agents, and fine-tuning. Along the way we discuss the frontend developer community that is rapidly adopting AI technology via Typescript (not Python).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Travis Fischer – <a href="https://github.com/transitive-bullshit">GitHub</a>, <a href="https://x.com/transitive_bs">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.chatgpthackers.dev/">ChatGPT Hacker Community</a></li><li><a href="https://twitter.com/ChatGPTBot">ChatGPTBot</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>There are a ton of problems around building LLM apps in production and the last mile of that problem. Travis Fischer, builder of open AI projects like @ChatGPTBot, joins us to talk through these problems (and how to overcome them). He helps us understand the hierarchy of complexity from simple prompting to augmentation, agents, and fine-tuning. Along the way we discuss the frontend developer community that is rapidly adopting AI technology via Typescript (not Python).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Travis Fischer – <a href="https://github.com/transitive-bullshit">GitHub</a>, <a href="https://x.com/transitive_bs">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.chatgpthackers.dev/">ChatGPT Hacker Community</a></li><li><a href="https://twitter.com/ChatGPTBot">ChatGPTBot</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Thu, 11 May 2023 09:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/7e30e465/cc291206.mp3" length="37625065" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2337</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>There are a ton of problems around building LLM apps in production and the last mile of that problem. Travis Fischer, builder of open AI projects like @ChatGPTBot, joins us to talk through these problems (and how to overcome them). He helps us understand the hierarchy of complexity from simple prompting to augmentation, agents, and fine-tuning. Along the way we discuss the frontend developer community that is rapidly adopting AI technology via Typescript (not Python).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Travis Fischer – <a href="https://github.com/transitive-bullshit">GitHub</a>, <a href="https://x.com/transitive_bs">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.chatgpthackers.dev/">ChatGPT Hacker Community</a></li><li><a href="https://twitter.com/ChatGPTBot">ChatGPTBot</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/travisfischer" img="https://img.transistorcdn.com/MTb3dOCANeF0a2NJdtYhBCNfDGRr9Hp3feqXwBSMIR4/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zOGRj/YmY0NGJhY2M5NTQ5/MTdiMzQ0ZGRmZDFh/MDdjMy5wbmc.jpg">Travis Fischer</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/7e30e465/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Large models on CPUs</title>
      <itunes:episode>221</itunes:episode>
      <podcast:episode>221</podcast:episode>
      <itunes:title>Large models on CPUs</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2066</guid>
      <link>https://share.transistor.fm/s/8e44d5e0</link>
      <description>
        <![CDATA[<p>Model sizes are crazy these days with billions and billions of parameters. As Mark Kurtz explains in this episode, this makes inference slow and expensive despite the fact that up to 90%+ of the parameters don’t influence the outputs at all.</p><p>Mark helps us understand all of the practicalities and progress that is being made in model optimization and CPU inference, including the increasing opportunities to run LLMs and other Generative AI models on commodity hardware.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Mark Kurtz – <a href="https://www.linkedin.com/in/markkurtzjr">LinkedIn</a>, <a href="https://x.com/markurtz_">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://neuralmagic.com/">Neural Magic</a></li><li><a href="https://neuralmagic.com/sparseml/">SparseML</a></li><li><a href="https://sparsezoo.neuralmagic.com/">SparseZoo</a></li><li><a href="https://neuralmagic.com/blog/neural-magic-scales-up-mlperf-inference-performance-with-demonstrated-power-efficiency-no-gpus-needed/">Neural Magic Scales up MLPerf™ Inference v3.0 Performance With Demonstrated Power Efficiency; No GPUs Needed</a></li><li><a href="https://neuralmagic.com/blog/deploy-hugging-face-nlp-and-cv-models-for-fast-inference-with-deepsparse-pipelines-and-sparseml/">Deploy Optimized Hugging Face Models With DeepSparse and SparseZoo</a></li><li><a href="https://neuralmagic.com/blog/sparsegpt-remove-100-billion-parameters-for-free/">SparseGPT: Remove 100 Billion Parameters for Free</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Model sizes are crazy these days with billions and billions of parameters. As Mark Kurtz explains in this episode, this makes inference slow and expensive despite the fact that up to 90%+ of the parameters don’t influence the outputs at all.</p><p>Mark helps us understand all of the practicalities and progress that is being made in model optimization and CPU inference, including the increasing opportunities to run LLMs and other Generative AI models on commodity hardware.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Mark Kurtz – <a href="https://www.linkedin.com/in/markkurtzjr">LinkedIn</a>, <a href="https://x.com/markurtz_">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://neuralmagic.com/">Neural Magic</a></li><li><a href="https://neuralmagic.com/sparseml/">SparseML</a></li><li><a href="https://sparsezoo.neuralmagic.com/">SparseZoo</a></li><li><a href="https://neuralmagic.com/blog/neural-magic-scales-up-mlperf-inference-performance-with-demonstrated-power-efficiency-no-gpus-needed/">Neural Magic Scales up MLPerf™ Inference v3.0 Performance With Demonstrated Power Efficiency; No GPUs Needed</a></li><li><a href="https://neuralmagic.com/blog/deploy-hugging-face-nlp-and-cv-models-for-fast-inference-with-deepsparse-pipelines-and-sparseml/">Deploy Optimized Hugging Face Models With DeepSparse and SparseZoo</a></li><li><a href="https://neuralmagic.com/blog/sparsegpt-remove-100-billion-parameters-for-free/">SparseGPT: Remove 100 Billion Parameters for Free</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 02 May 2023 12:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/8e44d5e0/47d9aa51.mp3" length="37166001" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2308</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Model sizes are crazy these days with billions and billions of parameters. As Mark Kurtz explains in this episode, this makes inference slow and expensive despite the fact that up to 90%+ of the parameters don’t influence the outputs at all.</p><p>Mark helps us understand all of the practicalities and progress that is being made in model optimization and CPU inference, including the increasing opportunities to run LLMs and other Generative AI models on commodity hardware.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Mark Kurtz – <a href="https://www.linkedin.com/in/markkurtzjr">LinkedIn</a>, <a href="https://x.com/markurtz_">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://neuralmagic.com/">Neural Magic</a></li><li><a href="https://neuralmagic.com/sparseml/">SparseML</a></li><li><a href="https://sparsezoo.neuralmagic.com/">SparseZoo</a></li><li><a href="https://neuralmagic.com/blog/neural-magic-scales-up-mlperf-inference-performance-with-demonstrated-power-efficiency-no-gpus-needed/">Neural Magic Scales up MLPerf™ Inference v3.0 Performance With Demonstrated Power Efficiency; No GPUs Needed</a></li><li><a href="https://neuralmagic.com/blog/deploy-hugging-face-nlp-and-cv-models-for-fast-inference-with-deepsparse-pipelines-and-sparseml/">Deploy Optimized Hugging Face Models With DeepSparse and SparseZoo</a></li><li><a href="https://neuralmagic.com/blog/sparsegpt-remove-100-billion-parameters-for-free/">SparseGPT: Remove 100 Billion Parameters for Free</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/markkurtz" img="https://img.transistorcdn.com/kd1XwHj3xEAMwfbL6skvVO6auX6U47sryx9OCdg_ohU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81MjZk/MDU2ZTNhMTM1NmNl/NGU5MTY1NTYxMjk3/MTI5NS5qcGc.jpg">Mark Kurtz</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/8e44d5e0/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Causal inference</title>
      <itunes:episode>220</itunes:episode>
      <podcast:episode>220</podcast:episode>
      <itunes:title>Causal inference</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2061</guid>
      <link>https://share.transistor.fm/s/311a1f1d</link>
      <description>
        <![CDATA[<p>With all the LLM hype, it’s worth remembering that enterprise stakeholders want answers to “why” questions. Enter causal inference. Paul Hünermund has been doing research and writing on this topic for some time and joins us to introduce the topic. He also shares some relevant trends and some tips for getting started with methods including double machine learning, experimentation, difference-in-difference, and more.</p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Paul Hünermund – <a href="https://p-hunermund.com">Website</a>, <a href="https://www.linkedin.com/in/paul-hunermund">LinkedIn</a>, <a href="https://x.com/PHuenermund">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.causalscience.org/blog/how-can-causal-machine-learning-improve-business-decisions/">How Can Causal Machine Learning Improve Business Decisions?</a></li><li><a href="https://www.causalscience.org/blog/causal-inference-is-more-than-fitting-the-data-well/">Causal Inference is More than Fitting the Data Well</a></li><li><a href="https://www.causalscience.org/blog/causal-data-science-in-practice/">Causal Data Science in Practice</a></li><li><a href="https://blog.ml.cmu.edu/2020/08/31/7-causality/">Causal Discovery</a></li><li><a href="https://github.com/py-why/dowhy">DoWhy Github</a></li><li><a href="https://www.penguin.co.uk/books/289825/the-book-of-why-by-judea-pearl-and-dana-mackenzie/9780141982410">The Book of Why</a></li><li><a href="https://www.causalscience.org/">Causal Data Science Meeting</a></li><li><a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3867326">Paul’s study on causal ML adoption in industry (incl. an overview of useful software packages in Table 3)</a></li><li><a href="https://www.udemy.com/course/causal-data-science/">Causal Data Science MOOC on Udemy</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>With all the LLM hype, it’s worth remembering that enterprise stakeholders want answers to “why” questions. Enter causal inference. Paul Hünermund has been doing research and writing on this topic for some time and joins us to introduce the topic. He also shares some relevant trends and some tips for getting started with methods including double machine learning, experimentation, difference-in-difference, and more.</p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Paul Hünermund – <a href="https://p-hunermund.com">Website</a>, <a href="https://www.linkedin.com/in/paul-hunermund">LinkedIn</a>, <a href="https://x.com/PHuenermund">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.causalscience.org/blog/how-can-causal-machine-learning-improve-business-decisions/">How Can Causal Machine Learning Improve Business Decisions?</a></li><li><a href="https://www.causalscience.org/blog/causal-inference-is-more-than-fitting-the-data-well/">Causal Inference is More than Fitting the Data Well</a></li><li><a href="https://www.causalscience.org/blog/causal-data-science-in-practice/">Causal Data Science in Practice</a></li><li><a href="https://blog.ml.cmu.edu/2020/08/31/7-causality/">Causal Discovery</a></li><li><a href="https://github.com/py-why/dowhy">DoWhy Github</a></li><li><a href="https://www.penguin.co.uk/books/289825/the-book-of-why-by-judea-pearl-and-dana-mackenzie/9780141982410">The Book of Why</a></li><li><a href="https://www.causalscience.org/">Causal Data Science Meeting</a></li><li><a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3867326">Paul’s study on causal ML adoption in industry (incl. an overview of useful software packages in Table 3)</a></li><li><a href="https://www.udemy.com/course/causal-data-science/">Causal Data Science MOOC on Udemy</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 25 Apr 2023 12:35:00 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2539</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>With all the LLM hype, it’s worth remembering that enterprise stakeholders want answers to “why” questions. Enter causal inference. Paul Hünermund has been doing research and writing on this topic for some time and joins us to introduce the topic. He also shares some relevant trends and some tips for getting started with methods including double machine learning, experimentation, difference-in-difference, and more.</p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/news">Changelog News</a> – A podcast+newsletter combo that’s brief, entertaining &amp; always on-point. <a href="https://changelog.com/news">Subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Paul Hünermund – <a href="https://p-hunermund.com">Website</a>, <a href="https://www.linkedin.com/in/paul-hunermund">LinkedIn</a>, <a href="https://x.com/PHuenermund">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.causalscience.org/blog/how-can-causal-machine-learning-improve-business-decisions/">How Can Causal Machine Learning Improve Business Decisions?</a></li><li><a href="https://www.causalscience.org/blog/causal-inference-is-more-than-fitting-the-data-well/">Causal Inference is More than Fitting the Data Well</a></li><li><a href="https://www.causalscience.org/blog/causal-data-science-in-practice/">Causal Data Science in Practice</a></li><li><a href="https://blog.ml.cmu.edu/2020/08/31/7-causality/">Causal Discovery</a></li><li><a href="https://github.com/py-why/dowhy">DoWhy Github</a></li><li><a href="https://www.penguin.co.uk/books/289825/the-book-of-why-by-judea-pearl-and-dana-mackenzie/9780141982410">The Book of Why</a></li><li><a href="https://www.causalscience.org/">Causal Data Science Meeting</a></li><li><a href="https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3867326">Paul’s study on causal ML adoption in industry (incl. an overview of useful software packages in Table 3)</a></li><li><a href="https://www.udemy.com/course/causal-data-science/">Causal Data Science MOOC on Udemy</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/phuenermund" img="https://img.transistorcdn.com/dEECU_i9pqduffDuP1necYbrmEsFqww_OttXIpRqIQQ/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kMTM2/OGVkYmY5MGJkODgz/MmRjZmY1M2YxODNl/MzM0OS5qcGc.jpg">Paul Hünermund</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/311a1f1d/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Capabilities of LLMs 🤯</title>
      <itunes:episode>219</itunes:episode>
      <podcast:episode>219</podcast:episode>
      <itunes:title>Capabilities of LLMs 🤯</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2057</guid>
      <link>https://share.transistor.fm/s/73986a0f</link>
      <description>
        <![CDATA[<p>Large Language Model (LLM) capabilities have reached new heights and are nothing short of mind-blowing! However, with so many advancements happening at once, it can be overwhelming to keep up with all the latest developments. To help us navigate through this complex terrain, we’ve invited Raj - one of the most adept at explaining State-of-the-Art (SOTA) AI in practical terms - to join us on the podcast.</p><p>Raj discusses several intriguing topics such as in-context learning, reasoning, LLM options, and related tooling. But that’s not all! We also hear from Raj about the rapidly growing data science and AI community on TikTok.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Rajiv Shah – <a href="https://www.rajivshah.com">Website</a>, <a href="https://github.com/rajshah4">GitHub</a>, <a href="https://www.linkedin.com/in/rajistics">LinkedIn</a>, <a href="https://x.com/rajistics">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://arxiv.org/pdf/2303.17580.pdf">Solving AI Tasks with ChatGPT and its Friends in HuggingFace</a> | <a href="https://github.com/microsoft/JARVIS">GitHub</a></li><li><a href="https://arxiv.org/abs/2304.03442">Generative Agents: Interactive Simulacra of Human Behavior</a></li><li><a href="https://huggingface.co/spaces/JavaFXpert/Chat-GPT-LangChain">Wolfram ChatGPT</a></li><li><a href="https://nat.dev/">Comparing LLMs</a></li><li><a href="https://python.langchain.com/en/latest/">LangChain</a></li><li>Learn about LLMs: <ul><li><a href="https://youtu.be/0Z1ZwY2K2-M">Emergence and reasoning in large language models (Jason Wei)</a></li><li><a href="https://arxiv.org/abs/2303.12712">Sparks of Artificial General Intelligence</a></li></ul></li><li><a href="https://learnprompting.org/">Learning Prompting</a></li><li>Getting Started with Transformers: <ul><li><a href="https://huggingface.co/course/chapter1/1">Transformers course (free)</a></li><li><a href="https://huggingface.co/tasks">Tasks at Hugging Face</a></li></ul></li><li>Training your own LLM Models: <ul><li><a href="https://www.youtube.com/watch?v=YKCtbIJC3kQ">Efficient Large Language Model training with LoRA and Hugging Face</a></li><li><a href="https://github.com/huggingface/peft">PEFT (Parameter-Efficient Fine-Tuning)</a></li></ul></li><li><a href="https://www.databricks.com/blog/2023/04/12/dolly-first-open-commercially-viable-instruction-tuned-llm">Dolly blog post</a></li><li><a href="https://huggingface.co/blog/rlhf">Illustrating Reinforcement Learning from Human Feedback</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Large Language Model (LLM) capabilities have reached new heights and are nothing short of mind-blowing! However, with so many advancements happening at once, it can be overwhelming to keep up with all the latest developments. To help us navigate through this complex terrain, we’ve invited Raj - one of the most adept at explaining State-of-the-Art (SOTA) AI in practical terms - to join us on the podcast.</p><p>Raj discusses several intriguing topics such as in-context learning, reasoning, LLM options, and related tooling. But that’s not all! We also hear from Raj about the rapidly growing data science and AI community on TikTok.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Rajiv Shah – <a href="https://www.rajivshah.com">Website</a>, <a href="https://github.com/rajshah4">GitHub</a>, <a href="https://www.linkedin.com/in/rajistics">LinkedIn</a>, <a href="https://x.com/rajistics">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://arxiv.org/pdf/2303.17580.pdf">Solving AI Tasks with ChatGPT and its Friends in HuggingFace</a> | <a href="https://github.com/microsoft/JARVIS">GitHub</a></li><li><a href="https://arxiv.org/abs/2304.03442">Generative Agents: Interactive Simulacra of Human Behavior</a></li><li><a href="https://huggingface.co/spaces/JavaFXpert/Chat-GPT-LangChain">Wolfram ChatGPT</a></li><li><a href="https://nat.dev/">Comparing LLMs</a></li><li><a href="https://python.langchain.com/en/latest/">LangChain</a></li><li>Learn about LLMs: <ul><li><a href="https://youtu.be/0Z1ZwY2K2-M">Emergence and reasoning in large language models (Jason Wei)</a></li><li><a href="https://arxiv.org/abs/2303.12712">Sparks of Artificial General Intelligence</a></li></ul></li><li><a href="https://learnprompting.org/">Learning Prompting</a></li><li>Getting Started with Transformers: <ul><li><a href="https://huggingface.co/course/chapter1/1">Transformers course (free)</a></li><li><a href="https://huggingface.co/tasks">Tasks at Hugging Face</a></li></ul></li><li>Training your own LLM Models: <ul><li><a href="https://www.youtube.com/watch?v=YKCtbIJC3kQ">Efficient Large Language Model training with LoRA and Hugging Face</a></li><li><a href="https://github.com/huggingface/peft">PEFT (Parameter-Efficient Fine-Tuning)</a></li></ul></li><li><a href="https://www.databricks.com/blog/2023/04/12/dolly-first-open-commercially-viable-instruction-tuned-llm">Dolly blog post</a></li><li><a href="https://huggingface.co/blog/rlhf">Illustrating Reinforcement Learning from Human Feedback</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 19 Apr 2023 17:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2283</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Large Language Model (LLM) capabilities have reached new heights and are nothing short of mind-blowing! However, with so many advancements happening at once, it can be overwhelming to keep up with all the latest developments. To help us navigate through this complex terrain, we’ve invited Raj - one of the most adept at explaining State-of-the-Art (SOTA) AI in practical terms - to join us on the podcast.</p><p>Raj discusses several intriguing topics such as in-context learning, reasoning, LLM options, and related tooling. But that’s not all! We also hear from Raj about the rapidly growing data science and AI community on TikTok.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Rajiv Shah – <a href="https://www.rajivshah.com">Website</a>, <a href="https://github.com/rajshah4">GitHub</a>, <a href="https://www.linkedin.com/in/rajistics">LinkedIn</a>, <a href="https://x.com/rajistics">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://arxiv.org/pdf/2303.17580.pdf">Solving AI Tasks with ChatGPT and its Friends in HuggingFace</a> | <a href="https://github.com/microsoft/JARVIS">GitHub</a></li><li><a href="https://arxiv.org/abs/2304.03442">Generative Agents: Interactive Simulacra of Human Behavior</a></li><li><a href="https://huggingface.co/spaces/JavaFXpert/Chat-GPT-LangChain">Wolfram ChatGPT</a></li><li><a href="https://nat.dev/">Comparing LLMs</a></li><li><a href="https://python.langchain.com/en/latest/">LangChain</a></li><li>Learn about LLMs: <ul><li><a href="https://youtu.be/0Z1ZwY2K2-M">Emergence and reasoning in large language models (Jason Wei)</a></li><li><a href="https://arxiv.org/abs/2303.12712">Sparks of Artificial General Intelligence</a></li></ul></li><li><a href="https://learnprompting.org/">Learning Prompting</a></li><li>Getting Started with Transformers: <ul><li><a href="https://huggingface.co/course/chapter1/1">Transformers course (free)</a></li><li><a href="https://huggingface.co/tasks">Tasks at Hugging Face</a></li></ul></li><li>Training your own LLM Models: <ul><li><a href="https://www.youtube.com/watch?v=YKCtbIJC3kQ">Efficient Large Language Model training with LoRA and Hugging Face</a></li><li><a href="https://github.com/huggingface/peft">PEFT (Parameter-Efficient Fine-Tuning)</a></li></ul></li><li><a href="https://www.databricks.com/blog/2023/04/12/dolly-first-open-commercially-viable-instruction-tuned-llm">Dolly blog post</a></li><li><a href="https://huggingface.co/blog/rlhf">Illustrating Reinforcement Learning from Human Feedback</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/rajshah" img="https://img.transistorcdn.com/TVlOAYwprDpwVadwGWxcZ-jkCQR_4NwzPOqvZDPMtDE/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zNDdh/NTk3ODhkOWZkNzIy/MzVjNTA1ZThiNGQ2/ODUwMS5qcGc.jpg">Rajiv Shah</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/73986a0f/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Computer scientists as rogue art historians</title>
      <itunes:episode>218</itunes:episode>
      <podcast:episode>218</podcast:episode>
      <itunes:title>Computer scientists as rogue art historians</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2054</guid>
      <link>https://share.transistor.fm/s/2196a4f4</link>
      <description>
        <![CDATA[<p>What can art historians and computer scientists learn from one another? Actually, a lot! Amanda Wasielewski joins us to talk about how she discovered that computer scientists working on computer vision were actually acting like rogue art historians and how art historians have found machine learning to be a valuable tool for research, fraud detection, and cataloguing. We also discuss the rise of generative AI and how we this technology might cause us to ask new questions like: “What makes a photograph a photograph?”</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Amanda Wasielewski – <a href="http://www.amandawasielewski.com">Website</a>, <a href="https://x.com/awasielewski">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://mitpress.mit.edu/9780262545648/computational-formalism/">Computational Formalism Art History and Machine Learning</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>What can art historians and computer scientists learn from one another? Actually, a lot! Amanda Wasielewski joins us to talk about how she discovered that computer scientists working on computer vision were actually acting like rogue art historians and how art historians have found machine learning to be a valuable tool for research, fraud detection, and cataloguing. We also discuss the rise of generative AI and how we this technology might cause us to ask new questions like: “What makes a photograph a photograph?”</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Amanda Wasielewski – <a href="http://www.amandawasielewski.com">Website</a>, <a href="https://x.com/awasielewski">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://mitpress.mit.edu/9780262545648/computational-formalism/">Computational Formalism Art History and Machine Learning</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 12 Apr 2023 09:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/2196a4f4/3d855c76.mp3" length="41760790" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2595</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>What can art historians and computer scientists learn from one another? Actually, a lot! Amanda Wasielewski joins us to talk about how she discovered that computer scientists working on computer vision were actually acting like rogue art historians and how art historians have found machine learning to be a valuable tool for research, fraud detection, and cataloguing. We also discuss the rise of generative AI and how we this technology might cause us to ask new questions like: “What makes a photograph a photograph?”</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Amanda Wasielewski – <a href="http://www.amandawasielewski.com">Website</a>, <a href="https://x.com/awasielewski">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://mitpress.mit.edu/9780262545648/computational-formalism/">Computational Formalism Art History and Machine Learning</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/awasielewski" img="https://img.transistorcdn.com/rJGjmdmEmUWH7XlbA8NgOIl7YgXJ-BQ7Z05ZcKZCONo/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yNzYx/MDZkOWMzNTg1YTky/YWJlNzQ5ZTBmNjRk/N2MxMi5qcGc.jpg">Amanda Wasielewski</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/2196a4f4/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Accelerated data science with a Kaggle grandmaster</title>
      <itunes:episode>217</itunes:episode>
      <podcast:episode>217</podcast:episode>
      <itunes:title>Accelerated data science with a Kaggle grandmaster</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2048</guid>
      <link>https://share.transistor.fm/s/c04ce2de</link>
      <description>
        <![CDATA[<p>Daniel and Chris explore the intersection of Kaggle and real-world data science in this illuminating conversation with Christof Henkel, Senior Deep Learning Data Scientist at NVIDIA and Kaggle Grandmaster. Christof offers a very lucid explanation into how participation in Kaggle can positively impact a data scientist’s skill and career aspirations. He also shared some of his insights and approach to maximizing AI productivity uses GPU-accelerated tools like RAPIDS and DALI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Christof Henkel – <a href="https://github.com/ChristofHenkel">GitHub</a>, <a href="https://www.linkedin.com/in/dr-christof-henkel-766a54ba">LinkedIn</a>, <a href="https://x.com/kagglingdieter">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.kaggle.com/christofhenkel">Christof Henkel | Kaggle</a></li><li><a href="https://www.nvidia.com/en-us/ai-data-science/kaggle-grandmasters">NVIDIA Kaggle Grandmasters</a></li><li><a href="https://www.kaggle.com">Kaggle</a></li><li><a href="https://rapids.ai">NVIDIA RAPIDS</a></li><li><a href="https://developer.nvidia.com/dali">NVIDIA Data Loading Library (DALI)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel and Chris explore the intersection of Kaggle and real-world data science in this illuminating conversation with Christof Henkel, Senior Deep Learning Data Scientist at NVIDIA and Kaggle Grandmaster. Christof offers a very lucid explanation into how participation in Kaggle can positively impact a data scientist’s skill and career aspirations. He also shared some of his insights and approach to maximizing AI productivity uses GPU-accelerated tools like RAPIDS and DALI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Christof Henkel – <a href="https://github.com/ChristofHenkel">GitHub</a>, <a href="https://www.linkedin.com/in/dr-christof-henkel-766a54ba">LinkedIn</a>, <a href="https://x.com/kagglingdieter">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.kaggle.com/christofhenkel">Christof Henkel | Kaggle</a></li><li><a href="https://www.nvidia.com/en-us/ai-data-science/kaggle-grandmasters">NVIDIA Kaggle Grandmasters</a></li><li><a href="https://www.kaggle.com">Kaggle</a></li><li><a href="https://rapids.ai">NVIDIA RAPIDS</a></li><li><a href="https://developer.nvidia.com/dali">NVIDIA Data Loading Library (DALI)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 04 Apr 2023 16:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/c04ce2de/25783b30.mp3" length="42346446" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2632</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel and Chris explore the intersection of Kaggle and real-world data science in this illuminating conversation with Christof Henkel, Senior Deep Learning Data Scientist at NVIDIA and Kaggle Grandmaster. Christof offers a very lucid explanation into how participation in Kaggle can positively impact a data scientist’s skill and career aspirations. He also shared some of his insights and approach to maximizing AI productivity uses GPU-accelerated tools like RAPIDS and DALI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Christof Henkel – <a href="https://github.com/ChristofHenkel">GitHub</a>, <a href="https://www.linkedin.com/in/dr-christof-henkel-766a54ba">LinkedIn</a>, <a href="https://x.com/kagglingdieter">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.kaggle.com/christofhenkel">Christof Henkel | Kaggle</a></li><li><a href="https://www.nvidia.com/en-us/ai-data-science/kaggle-grandmasters">NVIDIA Kaggle Grandmasters</a></li><li><a href="https://www.kaggle.com">Kaggle</a></li><li><a href="https://rapids.ai">NVIDIA RAPIDS</a></li><li><a href="https://developer.nvidia.com/dali">NVIDIA Data Loading Library (DALI)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/christof-henkel" img="https://img.transistorcdn.com/8XMDNcOe4Jp75r4vYGi6wTWIC4ZPZAg59A3PqCTGkkQ/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82YTJh/OGVhNTMwYjk4NmQ5/YmY5MjgxZGI0YjYy/OGI5Yi5qcGVn.jpg">Christof Henkel</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/c04ce2de/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Explainable AI that is accessible for all humans</title>
      <itunes:episode>216</itunes:episode>
      <podcast:episode>216</podcast:episode>
      <itunes:title>Explainable AI that is accessible for all humans</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2037</guid>
      <link>https://share.transistor.fm/s/c3fd1221</link>
      <description>
        <![CDATA[<p>We are seeing an explosion of AI apps that are (at their core) a thin UI on top of calls to OpenAI generative models. What risks are associated with this sort of approach to AI integration, and is explainability and accountability something that can be achieved in chat-based assistants?</p><p>Beth Rudden of <a href="https://bast.ai">Bast.ai</a> has been thinking about this topic for some time and has developed an ontological approach to creating conversational AI. We hear more about that approach and related work in this episode.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Beth Rudden – <a href="https://www.linkedin.com/in/brudden">LinkedIn</a>, <a href="https://x.com/ibethrudden">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.bast.ai/">Bast.ai</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We are seeing an explosion of AI apps that are (at their core) a thin UI on top of calls to OpenAI generative models. What risks are associated with this sort of approach to AI integration, and is explainability and accountability something that can be achieved in chat-based assistants?</p><p>Beth Rudden of <a href="https://bast.ai">Bast.ai</a> has been thinking about this topic for some time and has developed an ontological approach to creating conversational AI. We hear more about that approach and related work in this episode.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Beth Rudden – <a href="https://www.linkedin.com/in/brudden">LinkedIn</a>, <a href="https://x.com/ibethrudden">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.bast.ai/">Bast.ai</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 28 Mar 2023 11:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/c3fd1221/0d096bc3.mp3" length="44000982" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2735</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We are seeing an explosion of AI apps that are (at their core) a thin UI on top of calls to OpenAI generative models. What risks are associated with this sort of approach to AI integration, and is explainability and accountability something that can be achieved in chat-based assistants?</p><p>Beth Rudden of <a href="https://bast.ai">Bast.ai</a> has been thinking about this topic for some time and has developed an ontological approach to creating conversational AI. We hear more about that approach and related work in this episode.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://fastly.com/?utm_source=changelog">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://cloud.typesense.org/?utm_source=changelog">Typesense</a> – Lightning fast, globally distributed Search-as-a-Service that runs in memory. You literally can’t get any faster! </li></ul><p>Featuring:</p><ul><li>Beth Rudden – <a href="https://www.linkedin.com/in/brudden">LinkedIn</a>, <a href="https://x.com/ibethrudden">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.bast.ai/">Bast.ai</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/bethrudden" img="https://img.transistorcdn.com/Pz3WCedS9Y6_r8xnOkfc_n7WWTiODKV54v000kxEQLs/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yYTBk/NzM1MDcyNzNjNGQz/NWRiNTBkMGM0MDcx/ZWJmNi5qcGc.jpg">Beth Rudden</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/c3fd1221/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>AI search at You.com</title>
      <itunes:episode>215</itunes:episode>
      <podcast:episode>215</podcast:episode>
      <itunes:title>AI search at You.com</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2029</guid>
      <link>https://share.transistor.fm/s/e15efb1f</link>
      <description>
        <![CDATA[<p>Neural search and chat-based search are all the rage right now. However, You.com has been innovating in these topics long before ChatGPT. In this episode, Bryan McCann from You.com shares insights related to our mental model of Large Language Model (LLM) interactions and practical tips related to integrating LLMs into production systems.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Bryan McCann – <a href="https://github.com/bmccann">GitHub</a>, <a href="https://www.linkedin.com/in/bmarcusmccann">LinkedIn</a>, <a href="https://x.com/BMarcusMcCann">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://you.com">You.com</a></li><li><a href="https://you.com/developers">Open Platform for developers</a></li><li><a href="https://discord.gg/gbH6XaQdBQ">Join the You.com Discord server</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Neural search and chat-based search are all the rage right now. However, You.com has been innovating in these topics long before ChatGPT. In this episode, Bryan McCann from You.com shares insights related to our mental model of Large Language Model (LLM) interactions and practical tips related to integrating LLMs into production systems.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Bryan McCann – <a href="https://github.com/bmccann">GitHub</a>, <a href="https://www.linkedin.com/in/bmarcusmccann">LinkedIn</a>, <a href="https://x.com/BMarcusMcCann">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://you.com">You.com</a></li><li><a href="https://you.com/developers">Open Platform for developers</a></li><li><a href="https://discord.gg/gbH6XaQdBQ">Join the You.com Discord server</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 15 Mar 2023 15:15:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/e15efb1f/c9d94632.mp3" length="40560373" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2520</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Neural search and chat-based search are all the rage right now. However, You.com has been innovating in these topics long before ChatGPT. In this episode, Bryan McCann from You.com shares insights related to our mental model of Large Language Model (LLM) interactions and practical tips related to integrating LLMs into production systems.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Bryan McCann – <a href="https://github.com/bmccann">GitHub</a>, <a href="https://www.linkedin.com/in/bmarcusmccann">LinkedIn</a>, <a href="https://x.com/BMarcusMcCann">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://you.com">You.com</a></li><li><a href="https://you.com/developers">Open Platform for developers</a></li><li><a href="https://discord.gg/gbH6XaQdBQ">Join the You.com Discord server</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/bmccann" img="https://img.transistorcdn.com/m_ZVxWBHiTtJgY_bWrJkc6xeBJYGzcA-G2exZ4FSp8A/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yZGMy/ZmY5M2EzOTFmMjJj/ZmY0YjRkMzhhM2I2/Y2E0MS5qcGc.jpg">Bryan McCann</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>End-to-end cloud compute for AI/ML</title>
      <itunes:episode>214</itunes:episode>
      <podcast:episode>214</podcast:episode>
      <itunes:title>End-to-end cloud compute for AI/ML</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2024</guid>
      <link>https://share.transistor.fm/s/76659e53</link>
      <description>
        <![CDATA[<p>We’ve all experienced pain moving from local development, to testing, and then on to production. This cycle can be long and tedious, especially as AI models and datasets are integrated. Modal is trying to make this loop of development as seamless as possible for AI practitioners, and their platform is pretty incredible!</p><p>Erik from Modal joins us in this episode to help us understand how we can run or deploy machine learning models, massively parallel compute jobs, task queues, web apps, and much more, without our own infrastructure.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Erik Bernhardsson – <a href="https://erikbern.com">Website</a>, <a href="https://github.com/erikbern">GitHub</a>, <a href="https://x.com/bernhardsson">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://modal.com/">Modal</a></li><li><a href="https://changelog.com/practicalai/142">Episode 142 discussing Erik’s “building a data team” article</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We’ve all experienced pain moving from local development, to testing, and then on to production. This cycle can be long and tedious, especially as AI models and datasets are integrated. Modal is trying to make this loop of development as seamless as possible for AI practitioners, and their platform is pretty incredible!</p><p>Erik from Modal joins us in this episode to help us understand how we can run or deploy machine learning models, massively parallel compute jobs, task queues, web apps, and much more, without our own infrastructure.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Erik Bernhardsson – <a href="https://erikbern.com">Website</a>, <a href="https://github.com/erikbern">GitHub</a>, <a href="https://x.com/bernhardsson">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://modal.com/">Modal</a></li><li><a href="https://changelog.com/practicalai/142">Episode 142 discussing Erik’s “building a data team” article</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 07 Mar 2023 15:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/76659e53/931a252a.mp3" length="42776608" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2659</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We’ve all experienced pain moving from local development, to testing, and then on to production. This cycle can be long and tedious, especially as AI models and datasets are integrated. Modal is trying to make this loop of development as seamless as possible for AI practitioners, and their platform is pretty incredible!</p><p>Erik from Modal joins us in this episode to help us understand how we can run or deploy machine learning models, massively parallel compute jobs, task queues, web apps, and much more, without our own infrastructure.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Erik Bernhardsson – <a href="https://erikbern.com">Website</a>, <a href="https://github.com/erikbern">GitHub</a>, <a href="https://x.com/bernhardsson">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://modal.com/">Modal</a></li><li><a href="https://changelog.com/practicalai/142">Episode 142 discussing Erik’s “building a data team” article</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/erikbern" img="https://img.transistorcdn.com/YDzqf3r7iellHmLCbg-PAPrllxzxGEcT5Af6pPSMCv0/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82N2Y2/NDhkYjQ5Mjk4MGQx/MGFhMDhhZGVjY2M4/NWU5ZS5qcGc.jpg">Erik Bernhardsson</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>Success (and failure) in prompting</title>
      <itunes:episode>213</itunes:episode>
      <podcast:episode>213</podcast:episode>
      <itunes:title>Success (and failure) in prompting</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2018</guid>
      <link>https://share.transistor.fm/s/a56eaecd</link>
      <description>
        <![CDATA[<p>With the recent proliferation of generative AI models (from OpenAI, co:here, Anthropic, etc.), practitioners are racing to come up with best practices around prompting, grounding, and control of outputs.</p><p>Chris and Daniel take a deep dive into the kinds of behavior we are seeing with this latest wave of models (both good and bad) and what leads to that behavior. They also dig into some prompting and integration tips.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Generative AI model behavior in the news:</p><ul><li><a href="https://www.washingtonpost.com/technology/2023/02/16/microsoft-bing-ai-chatbot-sydney/">Microsoft’s AI chatbot is going off the rails</a></li><li><a href="https://www.nytimes.com/2023/02/16/technology/bing-chatbot-microsoft-chatgpt.html">A Conversation With Bing’s Chatbot Left Me Deeply Unsettled</a></li><li><a href="https://thezvi.substack.com/p/ai-1-sydney-and-bing#%C2%A7the-avatar-gaslight">Sydney’s gaslighting</a></li><li><a href="https://twitter.com/DynamicWebPaige/status/1628237502338465792">ChatGPT political bias</a></li><li><a href="https://techpolicy.press/researchers-find-stable-diffusion-amplifies-stereotypes/">Stable Diffusion amplification of stereotypes</a></li></ul><p>Useful guides related to prompt engineering:</p><ul><li><a href="https://docs.cohere.ai/docs/prompt-engineering">co:here prompt engineering guide</a></li><li><a href="https://youtu.be/dOxUroR57xs">Prompt engineering overview from Elvis Savaria</a></li><li><a href="https://medium.com/tales-of-tomorrow/10-amazing-resources-for-prompt-engineering-chatgpt-and-gpt-3-ad84dd26bfc7">10 Amazing Resources For Prompt Engineering, ChatGPT, and GPT-3</a></li><li>Image generation prompt engineering guides: see <a href="https://medium.com/mlearning-ai/an-advanced-guide-to-writing-prompts-for-midjourney-text-to-image-aa12a1e33b6">here</a> and <a href="https://re-thought.com/how-to-create-effective-prompts-for-ai-image-generation/">here</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>With the recent proliferation of generative AI models (from OpenAI, co:here, Anthropic, etc.), practitioners are racing to come up with best practices around prompting, grounding, and control of outputs.</p><p>Chris and Daniel take a deep dive into the kinds of behavior we are seeing with this latest wave of models (both good and bad) and what leads to that behavior. They also dig into some prompting and integration tips.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Generative AI model behavior in the news:</p><ul><li><a href="https://www.washingtonpost.com/technology/2023/02/16/microsoft-bing-ai-chatbot-sydney/">Microsoft’s AI chatbot is going off the rails</a></li><li><a href="https://www.nytimes.com/2023/02/16/technology/bing-chatbot-microsoft-chatgpt.html">A Conversation With Bing’s Chatbot Left Me Deeply Unsettled</a></li><li><a href="https://thezvi.substack.com/p/ai-1-sydney-and-bing#%C2%A7the-avatar-gaslight">Sydney’s gaslighting</a></li><li><a href="https://twitter.com/DynamicWebPaige/status/1628237502338465792">ChatGPT political bias</a></li><li><a href="https://techpolicy.press/researchers-find-stable-diffusion-amplifies-stereotypes/">Stable Diffusion amplification of stereotypes</a></li></ul><p>Useful guides related to prompt engineering:</p><ul><li><a href="https://docs.cohere.ai/docs/prompt-engineering">co:here prompt engineering guide</a></li><li><a href="https://youtu.be/dOxUroR57xs">Prompt engineering overview from Elvis Savaria</a></li><li><a href="https://medium.com/tales-of-tomorrow/10-amazing-resources-for-prompt-engineering-chatgpt-and-gpt-3-ad84dd26bfc7">10 Amazing Resources For Prompt Engineering, ChatGPT, and GPT-3</a></li><li>Image generation prompt engineering guides: see <a href="https://medium.com/mlearning-ai/an-advanced-guide-to-writing-prompts-for-midjourney-text-to-image-aa12a1e33b6">here</a> and <a href="https://re-thought.com/how-to-create-effective-prompts-for-ai-image-generation/">here</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 28 Feb 2023 16:15:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/a56eaecd/bd9cfc57.mp3" length="42320268" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2630</itunes:duration>
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        <![CDATA[<p>With the recent proliferation of generative AI models (from OpenAI, co:here, Anthropic, etc.), practitioners are racing to come up with best practices around prompting, grounding, and control of outputs.</p><p>Chris and Daniel take a deep dive into the kinds of behavior we are seeing with this latest wave of models (both good and bad) and what leads to that behavior. They also dig into some prompting and integration tips.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Generative AI model behavior in the news:</p><ul><li><a href="https://www.washingtonpost.com/technology/2023/02/16/microsoft-bing-ai-chatbot-sydney/">Microsoft’s AI chatbot is going off the rails</a></li><li><a href="https://www.nytimes.com/2023/02/16/technology/bing-chatbot-microsoft-chatgpt.html">A Conversation With Bing’s Chatbot Left Me Deeply Unsettled</a></li><li><a href="https://thezvi.substack.com/p/ai-1-sydney-and-bing#%C2%A7the-avatar-gaslight">Sydney’s gaslighting</a></li><li><a href="https://twitter.com/DynamicWebPaige/status/1628237502338465792">ChatGPT political bias</a></li><li><a href="https://techpolicy.press/researchers-find-stable-diffusion-amplifies-stereotypes/">Stable Diffusion amplification of stereotypes</a></li></ul><p>Useful guides related to prompt engineering:</p><ul><li><a href="https://docs.cohere.ai/docs/prompt-engineering">co:here prompt engineering guide</a></li><li><a href="https://youtu.be/dOxUroR57xs">Prompt engineering overview from Elvis Savaria</a></li><li><a href="https://medium.com/tales-of-tomorrow/10-amazing-resources-for-prompt-engineering-chatgpt-and-gpt-3-ad84dd26bfc7">10 Amazing Resources For Prompt Engineering, ChatGPT, and GPT-3</a></li><li>Image generation prompt engineering guides: see <a href="https://medium.com/mlearning-ai/an-advanced-guide-to-writing-prompts-for-midjourney-text-to-image-aa12a1e33b6">here</a> and <a href="https://re-thought.com/how-to-create-effective-prompts-for-ai-image-generation/">here</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/a56eaecd/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Applied NLP solutions &amp; AI education</title>
      <itunes:episode>212</itunes:episode>
      <podcast:episode>212</podcast:episode>
      <itunes:title>Applied NLP solutions &amp; AI education</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/d98fc7ab</link>
      <description>
        <![CDATA[<p>We’re super excited to welcome Jay Alammar to the show. Jay is a well-known AI educator, applied NLP practitioner at co:here, and author of the popular blog, “The Illustrated Transformer.” In this episode, he shares his ideas on creating applied NLP solutions, working with large language models, and creating educational resources for state-of-the-art AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Jay Alammar – <a href="https://jalammar.github.io">Website</a>, <a href="https://github.com/jalammar">GitHub</a>, <a href="https://x.com/JayAlammar">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="http://jalammar.github.io/">Jay’s popular blog (with posts including “The Illustrated Transformer”)</a></li><li><a href="https://cohere.ai/">co:here</a></li><li><a href="https://github.com/cohere-ai/sandbox-topically">Topically sandbox - topic modeling</a></li><li><a href="https://docs.cohere.ai/docs/prompt-engineering">co:here’s prompt engineering guide</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We’re super excited to welcome Jay Alammar to the show. Jay is a well-known AI educator, applied NLP practitioner at co:here, and author of the popular blog, “The Illustrated Transformer.” In this episode, he shares his ideas on creating applied NLP solutions, working with large language models, and creating educational resources for state-of-the-art AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Jay Alammar – <a href="https://jalammar.github.io">Website</a>, <a href="https://github.com/jalammar">GitHub</a>, <a href="https://x.com/JayAlammar">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="http://jalammar.github.io/">Jay’s popular blog (with posts including “The Illustrated Transformer”)</a></li><li><a href="https://cohere.ai/">co:here</a></li><li><a href="https://github.com/cohere-ai/sandbox-topically">Topically sandbox - topic modeling</a></li><li><a href="https://docs.cohere.ai/docs/prompt-engineering">co:here’s prompt engineering guide</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 22 Feb 2023 10:15:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/d98fc7ab/bb80c8fd.mp3" length="37154613" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2307</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We’re super excited to welcome Jay Alammar to the show. Jay is a well-known AI educator, applied NLP practitioner at co:here, and author of the popular blog, “The Illustrated Transformer.” In this episode, he shares his ideas on creating applied NLP solutions, working with large language models, and creating educational resources for state-of-the-art AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Jay Alammar – <a href="https://jalammar.github.io">Website</a>, <a href="https://github.com/jalammar">GitHub</a>, <a href="https://x.com/JayAlammar">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="http://jalammar.github.io/">Jay’s popular blog (with posts including “The Illustrated Transformer”)</a></li><li><a href="https://cohere.ai/">co:here</a></li><li><a href="https://github.com/cohere-ai/sandbox-topically">Topically sandbox - topic modeling</a></li><li><a href="https://docs.cohere.ai/docs/prompt-engineering">co:here’s prompt engineering guide</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/jalammar" img="https://img.transistorcdn.com/5H-gOwE2fFAD091v_vjmqYGiEnaGjPmMlQcOtxasJT0/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kMDM4/YWM3Y2Y0YWY0ZjI4/YTdkMjQ5N2JmM2Fl/MDcyMy5qcGc.jpg">Jay Alammar</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/d98fc7ab/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Serverless GPUs</title>
      <itunes:episode>211</itunes:episode>
      <podcast:episode>211</podcast:episode>
      <itunes:title>Serverless GPUs</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/2008</guid>
      <link>https://share.transistor.fm/s/4d6d9bbf</link>
      <description>
        <![CDATA[<p>We’ve been hearing about “serverless” CPUs for some time, but it’s taken a while to get to serverless GPUs. In this episode, Erik from Banana explains why its taken so long, and he helps us understand how these new workflows are unlocking state-of-the-art AI for application developers. Forget about servers, but don’t forget to listen to this one!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Erik Dunteman – <a href="https://www.erikdunteman.com">Website</a>, <a href="https://github.com/erikdunteman">GitHub</a>, <a href="https://www.linkedin.com/in/edunteman">LinkedIn</a>, <a href="https://x.com/erikdunteman">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><a href="https://www.banana.dev/">Banana</a> - Scale your machine learning inference and training on serverless GPUs.</p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We’ve been hearing about “serverless” CPUs for some time, but it’s taken a while to get to serverless GPUs. In this episode, Erik from Banana explains why its taken so long, and he helps us understand how these new workflows are unlocking state-of-the-art AI for application developers. Forget about servers, but don’t forget to listen to this one!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Erik Dunteman – <a href="https://www.erikdunteman.com">Website</a>, <a href="https://github.com/erikdunteman">GitHub</a>, <a href="https://www.linkedin.com/in/edunteman">LinkedIn</a>, <a href="https://x.com/erikdunteman">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><a href="https://www.banana.dev/">Banana</a> - Scale your machine learning inference and training on serverless GPUs.</p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 14 Feb 2023 16:30:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/4d6d9bbf/608f69a7.mp3" length="37218432" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2311</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We’ve been hearing about “serverless” CPUs for some time, but it’s taken a while to get to serverless GPUs. In this episode, Erik from Banana explains why its taken so long, and he helps us understand how these new workflows are unlocking state-of-the-art AI for application developers. Forget about servers, but don’t forget to listen to this one!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Erik Dunteman – <a href="https://www.erikdunteman.com">Website</a>, <a href="https://github.com/erikdunteman">GitHub</a>, <a href="https://www.linkedin.com/in/edunteman">LinkedIn</a>, <a href="https://x.com/erikdunteman">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><a href="https://www.banana.dev/">Banana</a> - Scale your machine learning inference and training on serverless GPUs.</p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/erikdunteman" img="https://img.transistorcdn.com/J3mRh9pcljK7EqzG8gRdsHwGZNyApUGOG0zLqa7ki4k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lMWUx/MDhhNzE4NjY4MjNl/ZjQ1OGQ1MDdkNTYy/NDNlZS5qcGc.jpg">Erik Dunteman</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/4d6d9bbf/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>MLOps is alive and well</title>
      <itunes:episode>210</itunes:episode>
      <podcast:episode>210</podcast:episode>
      <itunes:title>MLOps is alive and well</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/652123fd</link>
      <description>
        <![CDATA[<p>Worlds are colliding! This week we join forces with the hosts of the MLOps.Community podcast to discuss all things machine learning operations. We talk about how the recent explosion of foundation models and generative models is influencing the world of MLOps, and we discuss related tooling, workflows, perceptions, etc.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Demetrios Brinkmann – <a href="https://x.com/Dpbrinkm">X</a></li><li>Mihail Eric – <a href="https://www.mihaileric.com">Website</a>, <a href="https://github.com/mihail911">GitHub</a>, <a href="https://x.com/mihail_eric">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><a href="https://mlops.community/">MLOps.Community</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Worlds are colliding! This week we join forces with the hosts of the MLOps.Community podcast to discuss all things machine learning operations. We talk about how the recent explosion of foundation models and generative models is influencing the world of MLOps, and we discuss related tooling, workflows, perceptions, etc.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Demetrios Brinkmann – <a href="https://x.com/Dpbrinkm">X</a></li><li>Mihail Eric – <a href="https://www.mihaileric.com">Website</a>, <a href="https://github.com/mihail911">GitHub</a>, <a href="https://x.com/mihail_eric">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><a href="https://mlops.community/">MLOps.Community</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 07 Feb 2023 16:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/652123fd/814b9c25.mp3" length="54830751" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3412</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Worlds are colliding! This week we join forces with the hosts of the MLOps.Community podcast to discuss all things machine learning operations. We talk about how the recent explosion of foundation models and generative models is influencing the world of MLOps, and we discuss related tooling, workflows, perceptions, etc.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Demetrios Brinkmann – <a href="https://x.com/Dpbrinkm">X</a></li><li>Mihail Eric – <a href="https://www.mihaileric.com">Website</a>, <a href="https://github.com/mihail911">GitHub</a>, <a href="https://x.com/mihail_eric">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><a href="https://mlops.community/">MLOps.Community</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/demetrios" img="https://img.transistorcdn.com/VPMvW4nDWKZtMvGZe55OQEKQvA0qWeMhm5MFl1vBtuY/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kOWFm/Y2UwZjc0ZjdhZjAz/M2VhMGM0NWYwY2Ni/MzQ0NS5qcGc.jpg">Demetrios Brinkmann</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/mihail-eric" img="https://img.transistorcdn.com/l2jvRzZnC2u2Dy3oVseqWBdUFsF9Ki_wx_toZj9x0vg/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hZmE5/YTJjOGMxMmI3NjVj/MzgxMDY1NTc1YTNh/ZDdmMi5qcGc.jpg">Mihail Eric</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/652123fd/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>3D assets &amp; simulation at NVIDIA</title>
      <itunes:episode>209</itunes:episode>
      <podcast:episode>209</podcast:episode>
      <itunes:title>3D assets &amp; simulation at NVIDIA</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1994</guid>
      <link>https://share.transistor.fm/s/2cd2558b</link>
      <description>
        <![CDATA[<p>What’s the current reality and practical implications of using 3D environments for simulation and synthetic data creation? In this episode, we cut right through the hype of the Metaverse, Multiverse, Omniverse, and all the “verses” to understand how 3D assets and tooling are actually helping AI developers develop industrial robots, autonomous vehicles, and more. Beau Perschall is at the center of these innovations in his work with NVIDIA, and there is no one better to help us explore the topic!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Beau Perschall – <a href="https://www.linkedin.com/in/beau-perschall-4a00121">LinkedIn</a>, <a href="https://x.com/bperschall">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.nvidia.com/en-us/omniverse/usd/">NVIDIA’s Omniverse</a></li><li><a href="https://www.nvidia.com/gtc/session-catalog/?search=S52401&amp;tab.catalogallsessionstab=16566177511100015Kus#/">Beau’s GTC 2023 session around how to build simulation-ready USD 3D assets</a></li><li><a href="https://developer.nvidia.com/blog/new-cloud-applications-simready-assets-and-tools-for-omniverse-developers-announced-at-gtc/">Tech blog around Omniverse and SimReady assets</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>What’s the current reality and practical implications of using 3D environments for simulation and synthetic data creation? In this episode, we cut right through the hype of the Metaverse, Multiverse, Omniverse, and all the “verses” to understand how 3D assets and tooling are actually helping AI developers develop industrial robots, autonomous vehicles, and more. Beau Perschall is at the center of these innovations in his work with NVIDIA, and there is no one better to help us explore the topic!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Beau Perschall – <a href="https://www.linkedin.com/in/beau-perschall-4a00121">LinkedIn</a>, <a href="https://x.com/bperschall">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.nvidia.com/en-us/omniverse/usd/">NVIDIA’s Omniverse</a></li><li><a href="https://www.nvidia.com/gtc/session-catalog/?search=S52401&amp;tab.catalogallsessionstab=16566177511100015Kus#/">Beau’s GTC 2023 session around how to build simulation-ready USD 3D assets</a></li><li><a href="https://developer.nvidia.com/blog/new-cloud-applications-simready-assets-and-tools-for-omniverse-developers-announced-at-gtc/">Tech blog around Omniverse and SimReady assets</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 31 Jan 2023 15:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/2cd2558b/44d306e6.mp3" length="41065828" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2552</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>What’s the current reality and practical implications of using 3D environments for simulation and synthetic data creation? In this episode, we cut right through the hype of the Metaverse, Multiverse, Omniverse, and all the “verses” to understand how 3D assets and tooling are actually helping AI developers develop industrial robots, autonomous vehicles, and more. Beau Perschall is at the center of these innovations in his work with NVIDIA, and there is no one better to help us explore the topic!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Beau Perschall – <a href="https://www.linkedin.com/in/beau-perschall-4a00121">LinkedIn</a>, <a href="https://x.com/bperschall">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.nvidia.com/en-us/omniverse/usd/">NVIDIA’s Omniverse</a></li><li><a href="https://www.nvidia.com/gtc/session-catalog/?search=S52401&amp;tab.catalogallsessionstab=16566177511100015Kus#/">Beau’s GTC 2023 session around how to build simulation-ready USD 3D assets</a></li><li><a href="https://developer.nvidia.com/blog/new-cloud-applications-simready-assets-and-tools-for-omniverse-developers-announced-at-gtc/">Tech blog around Omniverse and SimReady assets</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/bperschall" img="https://img.transistorcdn.com/-9EHaV8x4-PJCRwsKhSIJXzpJUmyxUT-htuePRY1Hxc/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hNzA1/ZjNhODgxOWQyZGM3/NGFiNmE0NWI0NDRh/N2ZlMS5qcGc.jpg">Beau Perschall</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    </item>
    <item>
      <title>GPU dev environments that just work</title>
      <itunes:episode>208</itunes:episode>
      <podcast:episode>208</podcast:episode>
      <itunes:title>GPU dev environments that just work</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1991</guid>
      <link>https://share.transistor.fm/s/25e6c751</link>
      <description>
        <![CDATA[<p>Creating and sharing reproducible development environments for AI experiments and production systems is a huge pain. You have all sorts of weird dependencies, and then you have to deal with GPUs and NVIDIA drivers on top of all that! <a href="https://brev.dev/">brev.dev</a> is attempting to mitigate this pain and create delightful GPU dev environments. Now that sounds practical!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Nader Khalil – <a href="https://x.com/NaderLikeLadder">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><a href="https://brev.dev/">brev.dev</a></p><p>DISCOUNT for our listeners 🔥:</p><ul><li>Use coupon code “practical-ai-2023” for 5 hours of free GPU compute!</li><li>brev.dev doesn’t offer credits often, so the credit redemption button is hidden by default. Go to <a href="https://console.brev.dev/org/ejmrvoj8m/settings?credits=true">this link</a> to expose the button.</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Creating and sharing reproducible development environments for AI experiments and production systems is a huge pain. You have all sorts of weird dependencies, and then you have to deal with GPUs and NVIDIA drivers on top of all that! <a href="https://brev.dev/">brev.dev</a> is attempting to mitigate this pain and create delightful GPU dev environments. Now that sounds practical!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Nader Khalil – <a href="https://x.com/NaderLikeLadder">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><a href="https://brev.dev/">brev.dev</a></p><p>DISCOUNT for our listeners 🔥:</p><ul><li>Use coupon code “practical-ai-2023” for 5 hours of free GPU compute!</li><li>brev.dev doesn’t offer credits often, so the credit redemption button is hidden by default. Go to <a href="https://console.brev.dev/org/ejmrvoj8m/settings?credits=true">this link</a> to expose the button.</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 24 Jan 2023 16:30:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/25e6c751/c981f50e.mp3" length="38481528" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2390</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Creating and sharing reproducible development environments for AI experiments and production systems is a huge pain. You have all sorts of weird dependencies, and then you have to deal with GPUs and NVIDIA drivers on top of all that! <a href="https://brev.dev/">brev.dev</a> is attempting to mitigate this pain and create delightful GPU dev environments. Now that sounds practical!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://fly.io/changelog">Fly.io</a> – <strong>The home of Changelog.com</strong> — Deploy your apps and databases close to your users. In minutes you can run your Ruby, Go, Node, Deno, Python, or Elixir app (and databases!) all over the world. No ops required. Learn more at <a href="https://fly.io/changelog">fly.io/changelog</a> and check out <a href="https://fly.io/docs/speedrun/">the speedrun in their docs</a>. </li></ul><p>Featuring:</p><ul><li>Nader Khalil – <a href="https://x.com/NaderLikeLadder">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><a href="https://brev.dev/">brev.dev</a></p><p>DISCOUNT for our listeners 🔥:</p><ul><li>Use coupon code “practical-ai-2023” for 5 hours of free GPU compute!</li><li>brev.dev doesn’t offer credits often, so the credit redemption button is hidden by default. Go to <a href="https://console.brev.dev/org/ejmrvoj8m/settings?credits=true">this link</a> to expose the button.</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/nader-khalil" img="https://img.transistorcdn.com/F_MK_Iqp8G1OHKuR5nCi4PazXd_rp249Yw0xHYPkzus/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kMjBi/ZGViZTQ3OWY5MjJl/MTNiNjc4ODJmNTVl/OTdiMS5qcGc.jpg">Nader Khalil</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/25e6c751/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Machine learning at small organizations</title>
      <itunes:episode>207</itunes:episode>
      <podcast:episode>207</podcast:episode>
      <itunes:title>Machine learning at small organizations</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1975</guid>
      <link>https://share.transistor.fm/s/42403483</link>
      <description>
        <![CDATA[<p>Why is ML is so poorly adopted in small organizations (hint: it’s not because they don’t have enough data)? In this episode, Kirsten Lum from Storytellers shares the patterns she has seen in small orgs that lead to a successful ML practice. We discuss how the job of a ML Engineer/Data Scientist is different in that environment and how end-to-end project management is key to adoption.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.fm">The Changelog</a> – Conversations with the hackers, leaders, and innovators of the software world </li></ul><p>Featuring:</p><ul><li>Kirsten Lum – <a href="https://www.linkedin.com/in/kirsten-lum">LinkedIn</a>, <a href="https://x.com/machsci">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://storytellers.ai/">storytellers.ai</a></li><li><a href="https://trello.com">Trello</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Why is ML is so poorly adopted in small organizations (hint: it’s not because they don’t have enough data)? In this episode, Kirsten Lum from Storytellers shares the patterns she has seen in small orgs that lead to a successful ML practice. We discuss how the job of a ML Engineer/Data Scientist is different in that environment and how end-to-end project management is key to adoption.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.fm">The Changelog</a> – Conversations with the hackers, leaders, and innovators of the software world </li></ul><p>Featuring:</p><ul><li>Kirsten Lum – <a href="https://www.linkedin.com/in/kirsten-lum">LinkedIn</a>, <a href="https://x.com/machsci">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://storytellers.ai/">storytellers.ai</a></li><li><a href="https://trello.com">Trello</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 17 Jan 2023 15:15:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/42403483/04297df2.mp3" length="48069729" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2990</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Why is ML is so poorly adopted in small organizations (hint: it’s not because they don’t have enough data)? In this episode, Kirsten Lum from Storytellers shares the patterns she has seen in small orgs that lead to a successful ML practice. We discuss how the job of a ML Engineer/Data Scientist is different in that environment and how end-to-end project management is key to adoption.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.fm">The Changelog</a> – Conversations with the hackers, leaders, and innovators of the software world </li></ul><p>Featuring:</p><ul><li>Kirsten Lum – <a href="https://www.linkedin.com/in/kirsten-lum">LinkedIn</a>, <a href="https://x.com/machsci">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://storytellers.ai/">storytellers.ai</a></li><li><a href="https://trello.com">Trello</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/kirsten-lum" img="https://img.transistorcdn.com/EFrqPp0vTFUPjklGh_k3AWmMj8U5zzVt9MzDiO73Gi0/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84NmZh/MDViZTQ5OWIzOWI0/OTgxMmNlYTc2MDM1/Y2I3Zi5qcGc.jpg">Kirsten Lum</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/42403483/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>ChatGPT goes prime time!</title>
      <itunes:episode>206</itunes:episode>
      <podcast:episode>206</podcast:episode>
      <itunes:title>ChatGPT goes prime time!</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1964</guid>
      <link>https://share.transistor.fm/s/22432f59</link>
      <description>
        <![CDATA[<p>Daniel and Chris do a deep dive into OpenAI’s ChatGPT, which is the first LLM to enjoy direct mass adoption by folks outside the AI world. They discuss how it works, its effect on the world, ramifications of its adoption, and what we may expect in the future as these types of models continue to evolve.</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://chat.openai.com/chat">ChatGPT</a></li><li><a href="https://openai.com/blog/chatgpt">OpenAI Blog: ChatGPT</a></li><li><a href="https://huggingface.co/blog/rlhf">Illustrating Reinforcement Learning from Human Feedback (RLHF)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel and Chris do a deep dive into OpenAI’s ChatGPT, which is the first LLM to enjoy direct mass adoption by folks outside the AI world. They discuss how it works, its effect on the world, ramifications of its adoption, and what we may expect in the future as these types of models continue to evolve.</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://chat.openai.com/chat">ChatGPT</a></li><li><a href="https://openai.com/blog/chatgpt">OpenAI Blog: ChatGPT</a></li><li><a href="https://huggingface.co/blog/rlhf">Illustrating Reinforcement Learning from Human Feedback (RLHF)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 10 Jan 2023 16:20:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/22432f59/c179ae59.mp3" length="43182851" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2684</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel and Chris do a deep dive into OpenAI’s ChatGPT, which is the first LLM to enjoy direct mass adoption by folks outside the AI world. They discuss how it works, its effect on the world, ramifications of its adoption, and what we may expect in the future as these types of models continue to evolve.</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://chat.openai.com/chat">ChatGPT</a></li><li><a href="https://openai.com/blog/chatgpt">OpenAI Blog: ChatGPT</a></li><li><a href="https://huggingface.co/blog/rlhf">Illustrating Reinforcement Learning from Human Feedback (RLHF)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>NLP research by &amp; for local communities</title>
      <itunes:episode>205</itunes:episode>
      <podcast:episode>205</podcast:episode>
      <itunes:title>NLP research by &amp; for local communities</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1959</guid>
      <link>https://share.transistor.fm/s/182d8f69</link>
      <description>
        <![CDATA[<p>While at EMNLP 2022, Daniel got a chance to sit down with an amazing group of researchers creating NLP technology that actually works for their local language communities. Just Zwennicker (Universiteit van Amsterdam) discusses his work on a machine translation system for Sranan Tongo, a creole language that is spoken in Suriname. Andiswa Bukula (SADiLaR), Rooweither Mabuya (SADiLaR), and Bonaventure Dossou (Lanfrica, Mila) discuss their work with Masakhane to strengthen and spur NLP research in African languages, for Africans, by Africans.</p><p>The group emphasized the need for more linguistically diverse NLP systems that work in scenarios of data scarcity, non-Latin scripts, rich morphology, etc. You don’t want to miss this one!</p><p><br></p><p>Featuring:</p><ul><li>Just Zwennicker – <a href="https://www.linkedin.com/in/just-zwennicker-1929171">LinkedIn</a></li><li>Andiswa Bukula – <a href="https://x.com/andiebukula">X</a></li><li>Rooweither Mabuya – <a href="https://x.com/RoowyM">X</a></li><li>Bonaventure Dossou – <a href="https://bonaventuredossou.github.io">Website</a>, <a href="https://github.com/bonaventuredossou">GitHub</a>, <a href="https://www.linkedin.com/in/bonaventuredossou">LinkedIn</a>, <a href="https://x.com/bonadossou">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>EMNLP 2022 papers from the guests:</p><ul><li><a href="https://arxiv.org/abs/2212.06383">Towards a general purpose machine translation system for Sranantongo</a></li><li><a href="https://arxiv.org/abs/2210.12391">MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition</a></li><li><a href="https://arxiv.org/abs/2211.03263">AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African Languages</a></li></ul><p>Other links relevant to the discussion:</p><ul><li><a href="https://www.masakhane.io/">Masakhane</a></li><li><a href="https://lanfrica.com/">Lanfrica</a></li><li><a href="https://sadilar.org/index.php/en/">The South African Centre for Digital Language Resources (SADiLaR)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>While at EMNLP 2022, Daniel got a chance to sit down with an amazing group of researchers creating NLP technology that actually works for their local language communities. Just Zwennicker (Universiteit van Amsterdam) discusses his work on a machine translation system for Sranan Tongo, a creole language that is spoken in Suriname. Andiswa Bukula (SADiLaR), Rooweither Mabuya (SADiLaR), and Bonaventure Dossou (Lanfrica, Mila) discuss their work with Masakhane to strengthen and spur NLP research in African languages, for Africans, by Africans.</p><p>The group emphasized the need for more linguistically diverse NLP systems that work in scenarios of data scarcity, non-Latin scripts, rich morphology, etc. You don’t want to miss this one!</p><p><br></p><p>Featuring:</p><ul><li>Just Zwennicker – <a href="https://www.linkedin.com/in/just-zwennicker-1929171">LinkedIn</a></li><li>Andiswa Bukula – <a href="https://x.com/andiebukula">X</a></li><li>Rooweither Mabuya – <a href="https://x.com/RoowyM">X</a></li><li>Bonaventure Dossou – <a href="https://bonaventuredossou.github.io">Website</a>, <a href="https://github.com/bonaventuredossou">GitHub</a>, <a href="https://www.linkedin.com/in/bonaventuredossou">LinkedIn</a>, <a href="https://x.com/bonadossou">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>EMNLP 2022 papers from the guests:</p><ul><li><a href="https://arxiv.org/abs/2212.06383">Towards a general purpose machine translation system for Sranantongo</a></li><li><a href="https://arxiv.org/abs/2210.12391">MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition</a></li><li><a href="https://arxiv.org/abs/2211.03263">AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African Languages</a></li></ul><p>Other links relevant to the discussion:</p><ul><li><a href="https://www.masakhane.io/">Masakhane</a></li><li><a href="https://lanfrica.com/">Lanfrica</a></li><li><a href="https://sadilar.org/index.php/en/">The South African Centre for Digital Language Resources (SADiLaR)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 03 Jan 2023 15:15:00 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2204</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>While at EMNLP 2022, Daniel got a chance to sit down with an amazing group of researchers creating NLP technology that actually works for their local language communities. Just Zwennicker (Universiteit van Amsterdam) discusses his work on a machine translation system for Sranan Tongo, a creole language that is spoken in Suriname. Andiswa Bukula (SADiLaR), Rooweither Mabuya (SADiLaR), and Bonaventure Dossou (Lanfrica, Mila) discuss their work with Masakhane to strengthen and spur NLP research in African languages, for Africans, by Africans.</p><p>The group emphasized the need for more linguistically diverse NLP systems that work in scenarios of data scarcity, non-Latin scripts, rich morphology, etc. You don’t want to miss this one!</p><p><br></p><p>Featuring:</p><ul><li>Just Zwennicker – <a href="https://www.linkedin.com/in/just-zwennicker-1929171">LinkedIn</a></li><li>Andiswa Bukula – <a href="https://x.com/andiebukula">X</a></li><li>Rooweither Mabuya – <a href="https://x.com/RoowyM">X</a></li><li>Bonaventure Dossou – <a href="https://bonaventuredossou.github.io">Website</a>, <a href="https://github.com/bonaventuredossou">GitHub</a>, <a href="https://www.linkedin.com/in/bonaventuredossou">LinkedIn</a>, <a href="https://x.com/bonadossou">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>EMNLP 2022 papers from the guests:</p><ul><li><a href="https://arxiv.org/abs/2212.06383">Towards a general purpose machine translation system for Sranantongo</a></li><li><a href="https://arxiv.org/abs/2210.12391">MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition</a></li><li><a href="https://arxiv.org/abs/2211.03263">AfroLM: A Self-Active Learning-based Multilingual Pretrained Language Model for 23 African Languages</a></li></ul><p>Other links relevant to the discussion:</p><ul><li><a href="https://www.masakhane.io/">Masakhane</a></li><li><a href="https://lanfrica.com/">Lanfrica</a></li><li><a href="https://sadilar.org/index.php/en/">The South African Centre for Digital Language Resources (SADiLaR)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/just-zwennicker" img="https://img.transistorcdn.com/PY3vrF7HxrMDgUOKbu3sbsggoB1XXxDCtSKZgrBSwaI/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yNzNj/MTExNjg1OGE1NWVl/MDQ0NWI3NDlmNTgy/Mjk2Ni5qcGVn.jpg">Just Zwennicker</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/andiebukula" img="https://img.transistorcdn.com/XEdfqUQiDgwjLosM4uXFUSxO1MOQ65VumTvpT8wcvEA/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9iMTdl/MDEzZTU3MmM5YTY5/YjI4YzJhNDliNWQ5/ZTc5OC5qcGc.jpg">Andiswa Bukula</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/roowym" img="https://img.transistorcdn.com/esFRB84I_NPavkH8WvIlxRcFxvQ67iJKMZlMlN5tmwM/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80MTgz/NGQ0YTA5M2EwNTc2/M2NhMjBkMDM3NTRj/MmM2OC5qcGc.jpg">Rooweither Mabuya</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/bonaventuredossou" img="https://img.transistorcdn.com/_mbrl8DwjFLCEn00mNxKUVllQI_G6qNjXLrkMtC0G-8/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83MWJi/NWRmYzNkYjQ1ZWMx/ZjI2NjBlM2MwMWU2/MzE1Yi5qcGVn.jpg">Bonaventure Dossou</podcast:person>
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    </item>
    <item>
      <title>SOTA machine translation at Unbabel</title>
      <itunes:episode>204</itunes:episode>
      <podcast:episode>204</podcast:episode>
      <itunes:title>SOTA machine translation at Unbabel</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1950</guid>
      <link>https://share.transistor.fm/s/3d390eaa</link>
      <description>
        <![CDATA[<p>José and Ricardo joined Daniel at EMNLP 2022 to discuss state-of-the-art machine translation, the WMT shared tasks, and quality estimation. Among other things, they talk about Unbabel’s innovations in quality estimation including COMET, a neural framework for training multilingual machine translation (MT) evaluation models.</p><p><br></p><p>Featuring:</p><ul><li>Ricardo Rei – <a href="https://x.com/RicardoRei7">X</a></li><li>José Souza – <a href="https://x.com/accezz">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://unbabel.com/">Unbabel</a></li><li><a href="https://unbabel.com/research/comet/">COMET</a></li><li><a href="https://www.statmt.org/wmt22/">The WMT workshop/ conference</a></li><li><a href="https://2022.emnlp.org/">EMNLP</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>José and Ricardo joined Daniel at EMNLP 2022 to discuss state-of-the-art machine translation, the WMT shared tasks, and quality estimation. Among other things, they talk about Unbabel’s innovations in quality estimation including COMET, a neural framework for training multilingual machine translation (MT) evaluation models.</p><p><br></p><p>Featuring:</p><ul><li>Ricardo Rei – <a href="https://x.com/RicardoRei7">X</a></li><li>José Souza – <a href="https://x.com/accezz">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://unbabel.com/">Unbabel</a></li><li><a href="https://unbabel.com/research/comet/">COMET</a></li><li><a href="https://www.statmt.org/wmt22/">The WMT workshop/ conference</a></li><li><a href="https://2022.emnlp.org/">EMNLP</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 13 Dec 2022 14:45:00 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>1826</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>José and Ricardo joined Daniel at EMNLP 2022 to discuss state-of-the-art machine translation, the WMT shared tasks, and quality estimation. Among other things, they talk about Unbabel’s innovations in quality estimation including COMET, a neural framework for training multilingual machine translation (MT) evaluation models.</p><p><br></p><p>Featuring:</p><ul><li>Ricardo Rei – <a href="https://x.com/RicardoRei7">X</a></li><li>José Souza – <a href="https://x.com/accezz">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://unbabel.com/">Unbabel</a></li><li><a href="https://unbabel.com/research/comet/">COMET</a></li><li><a href="https://www.statmt.org/wmt22/">The WMT workshop/ conference</a></li><li><a href="https://2022.emnlp.org/">EMNLP</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/recardorei" img="https://img.transistorcdn.com/iYZ0BsYZFc733Z8Mf1xuBCf2AbT_-lI4enYDIcZ9mt8/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wNzRj/Y2JmZDNhOTYyMDYy/MTNlMTdiOGE5ZTIz/NjExOS5qcGc.jpg">Ricardo Rei</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/accezz" img="https://img.transistorcdn.com/4BNBwrArd_H-yxC4KiJLxsisK2pfjxlgVsjfEaepAms/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jM2Nk/YzdlOTQ1YjJmZjNh/ZTU4ZmNhYjJhMDY5/MzVlZC5wbmc.jpg">José Souza</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/3d390eaa/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>AI competitions &amp; cloud resources</title>
      <itunes:episode>203</itunes:episode>
      <podcast:episode>203</podcast:episode>
      <itunes:title>AI competitions &amp; cloud resources</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1946</guid>
      <link>https://share.transistor.fm/s/bb2174ee</link>
      <description>
        <![CDATA[<p>In this special episode, we interview some of the sponsors and teams from a recent case competition organized by Purdue University, Microsoft, INFORMS, and SIL International. 170+ teams from across the US and Canada participated in the competition, which challenged students to create AI-driven systems to caption images in three languages (Thai, Kyrgyz, and Hausa).</p><p><br></p><p>Featuring:</p><ul><li>Matthew Lanham – <a href="http://matthewalanham.com">Website</a>, <a href="https://x.com/MatthewALanham">X</a></li><li>Mark Tabladillo – <a href="https://www.linkedin.com/in/marktab">LinkedIn</a>, <a href="https://x.com/MarkTabNet">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://krannert.purdue.edu/masters/business-analytics-and-information-management/">Purdue University’s Krannert School of Business</a></li><li><a href="https://learn.microsoft.com/en-us/users/sandramarin/collections/zopanqdn7w1p1">Master the basics of Azure: AI Fundamentals</a></li><li><a href="https://learn.microsoft.com/en-us/azure/architecture/">Azure Architecture Center</a></li><li><a href="https://www.sil.org/">SIL International</a></li><li><a href="https://huggingface.co/datasets/sil-ai/bloom-captioning">The bloom-captioning dataset</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/B0BM35KY4C">“Applied Machine Learning and AI for Engineers” by Jeff Prosise</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this special episode, we interview some of the sponsors and teams from a recent case competition organized by Purdue University, Microsoft, INFORMS, and SIL International. 170+ teams from across the US and Canada participated in the competition, which challenged students to create AI-driven systems to caption images in three languages (Thai, Kyrgyz, and Hausa).</p><p><br></p><p>Featuring:</p><ul><li>Matthew Lanham – <a href="http://matthewalanham.com">Website</a>, <a href="https://x.com/MatthewALanham">X</a></li><li>Mark Tabladillo – <a href="https://www.linkedin.com/in/marktab">LinkedIn</a>, <a href="https://x.com/MarkTabNet">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://krannert.purdue.edu/masters/business-analytics-and-information-management/">Purdue University’s Krannert School of Business</a></li><li><a href="https://learn.microsoft.com/en-us/users/sandramarin/collections/zopanqdn7w1p1">Master the basics of Azure: AI Fundamentals</a></li><li><a href="https://learn.microsoft.com/en-us/azure/architecture/">Azure Architecture Center</a></li><li><a href="https://www.sil.org/">SIL International</a></li><li><a href="https://huggingface.co/datasets/sil-ai/bloom-captioning">The bloom-captioning dataset</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/B0BM35KY4C">“Applied Machine Learning and AI for Engineers” by Jeff Prosise</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 07 Dec 2022 16:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/bb2174ee/8e2a484b.mp3" length="32789661" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2035</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this special episode, we interview some of the sponsors and teams from a recent case competition organized by Purdue University, Microsoft, INFORMS, and SIL International. 170+ teams from across the US and Canada participated in the competition, which challenged students to create AI-driven systems to caption images in three languages (Thai, Kyrgyz, and Hausa).</p><p><br></p><p>Featuring:</p><ul><li>Matthew Lanham – <a href="http://matthewalanham.com">Website</a>, <a href="https://x.com/MatthewALanham">X</a></li><li>Mark Tabladillo – <a href="https://www.linkedin.com/in/marktab">LinkedIn</a>, <a href="https://x.com/MarkTabNet">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://krannert.purdue.edu/masters/business-analytics-and-information-management/">Purdue University’s Krannert School of Business</a></li><li><a href="https://learn.microsoft.com/en-us/users/sandramarin/collections/zopanqdn7w1p1">Master the basics of Azure: AI Fundamentals</a></li><li><a href="https://learn.microsoft.com/en-us/azure/architecture/">Azure Architecture Center</a></li><li><a href="https://www.sil.org/">SIL International</a></li><li><a href="https://huggingface.co/datasets/sil-ai/bloom-captioning">The bloom-captioning dataset</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/B0BM35KY4C">“Applied Machine Learning and AI for Engineers” by Jeff Prosise</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/matthewalanham" img="https://img.transistorcdn.com/4mnxPd3vygxo_cDcL_vBkxTOhxeh9ngYL-wsuF2esV8/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82Y2Jl/ZDcwNGYwZTNiNzFm/YWFjMWY3ZDg5NWQy/M2VjZC5qcGVn.jpg">Matthew Lanham</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/marktab" img="https://img.transistorcdn.com/qQHb0asjSjgU0wE8WMZGtwwQNcd0bhRCQY8-eOdrfEk/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82YTE3/MDM2NGY1YTIzMWUz/NGY3MjE1NmY4Njc2/YjkzNS5qcGVn.jpg">Mark Tabladillo</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/bb2174ee/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Copilot lawsuits &amp; Galactica "science"</title>
      <itunes:episode>202</itunes:episode>
      <podcast:episode>202</podcast:episode>
      <itunes:title>Copilot lawsuits &amp; Galactica "science"</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1943</guid>
      <link>https://share.transistor.fm/s/305891d5</link>
      <description>
        <![CDATA[<p>There are some big AI-related controversies swirling, and it’s time we talk about them. A lawsuit has been filed against GitHub, Microsoft, and OpenAI related to Copilot code suggestions, and many people have been disturbed by the output of Meta AI’s Galactica model. Does Copilot violate open source licenses? Does Galactica output dangerous science-related content? In this episode, we dive into the controversies and risks, and we discuss the benefits of these technologies.</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Related to Copilot:</p><ul><li><a href="https://www.kolide.com/blog/github-copilot-isn-t-worth-the-risk">Article - “GitHub Copilot Isn’t Worth the Risk”</a></li><li><a href="https://www.tabnine.com/">Tabnine</a></li><li><a href="https://www.bigcode-project.org/">Big Code Project</a></li></ul><p>Related to Galactica:</p><ul><li><a href="https://galactica.org/">Model website</a></li><li><a href="https://www.aiweirdness.com/galactica/">Article: “Galactica: the AI knowledge base that makes stuff up”</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0244768528">“Interpretable Machine Learning” by Christoph Molnar</a></li><li><a href="https://www.amazon.com/dp/B0BMJH7M9F">“Modeling Mindsets” by Christoph Molnar</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>There are some big AI-related controversies swirling, and it’s time we talk about them. A lawsuit has been filed against GitHub, Microsoft, and OpenAI related to Copilot code suggestions, and many people have been disturbed by the output of Meta AI’s Galactica model. Does Copilot violate open source licenses? Does Galactica output dangerous science-related content? In this episode, we dive into the controversies and risks, and we discuss the benefits of these technologies.</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Related to Copilot:</p><ul><li><a href="https://www.kolide.com/blog/github-copilot-isn-t-worth-the-risk">Article - “GitHub Copilot Isn’t Worth the Risk”</a></li><li><a href="https://www.tabnine.com/">Tabnine</a></li><li><a href="https://www.bigcode-project.org/">Big Code Project</a></li></ul><p>Related to Galactica:</p><ul><li><a href="https://galactica.org/">Model website</a></li><li><a href="https://www.aiweirdness.com/galactica/">Article: “Galactica: the AI knowledge base that makes stuff up”</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0244768528">“Interpretable Machine Learning” by Christoph Molnar</a></li><li><a href="https://www.amazon.com/dp/B0BMJH7M9F">“Modeling Mindsets” by Christoph Molnar</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 29 Nov 2022 15:45:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/305891d5/44529a1b.mp3" length="42636981" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2650</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>There are some big AI-related controversies swirling, and it’s time we talk about them. A lawsuit has been filed against GitHub, Microsoft, and OpenAI related to Copilot code suggestions, and many people have been disturbed by the output of Meta AI’s Galactica model. Does Copilot violate open source licenses? Does Galactica output dangerous science-related content? In this episode, we dive into the controversies and risks, and we discuss the benefits of these technologies.</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Related to Copilot:</p><ul><li><a href="https://www.kolide.com/blog/github-copilot-isn-t-worth-the-risk">Article - “GitHub Copilot Isn’t Worth the Risk”</a></li><li><a href="https://www.tabnine.com/">Tabnine</a></li><li><a href="https://www.bigcode-project.org/">Big Code Project</a></li></ul><p>Related to Galactica:</p><ul><li><a href="https://galactica.org/">Model website</a></li><li><a href="https://www.aiweirdness.com/galactica/">Article: “Galactica: the AI knowledge base that makes stuff up”</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0244768528">“Interpretable Machine Learning” by Christoph Molnar</a></li><li><a href="https://www.amazon.com/dp/B0BMJH7M9F">“Modeling Mindsets” by Christoph Molnar</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:chapters url="https://share.transistor.fm/s/305891d5/chapters.json" type="application/json+chapters"/>
    </item>
    <item>
      <title>Protecting us with the Database of Evil</title>
      <itunes:episode>201</itunes:episode>
      <podcast:episode>201</podcast:episode>
      <itunes:title>Protecting us with the Database of Evil</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1937</guid>
      <link>https://share.transistor.fm/s/8e2526bc</link>
      <description>
        <![CDATA[<p>Online platforms and their users are susceptible to a barrage of threats – from disinformation to extremism to terror. Daniel and Chris chat with Matar Haller, VP of Data at ActiveFence, a leader in identifying online harm – is using a combination of AI technology and leading subject matter experts to provide Trust &amp; Safety teams with precise, real-time data, in-depth intelligence, and automated tools to protect users and ensure safe online experiences.</p><p><br></p><p>Featuring:</p><ul><li>Matar Haller – <a href="https://github.com/matarhaller">GitHub</a>, <a href="https://www.linkedin.com/in/matarhaller">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.activefence.com">ActiveFence</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Online platforms and their users are susceptible to a barrage of threats – from disinformation to extremism to terror. Daniel and Chris chat with Matar Haller, VP of Data at ActiveFence, a leader in identifying online harm – is using a combination of AI technology and leading subject matter experts to provide Trust &amp; Safety teams with precise, real-time data, in-depth intelligence, and automated tools to protect users and ensure safe online experiences.</p><p><br></p><p>Featuring:</p><ul><li>Matar Haller – <a href="https://github.com/matarhaller">GitHub</a>, <a href="https://www.linkedin.com/in/matarhaller">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.activefence.com">ActiveFence</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 16 Nov 2022 12:20:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/8e2526bc/0c3e149c.mp3" length="46713059" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2905</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Online platforms and their users are susceptible to a barrage of threats – from disinformation to extremism to terror. Daniel and Chris chat with Matar Haller, VP of Data at ActiveFence, a leader in identifying online harm – is using a combination of AI technology and leading subject matter experts to provide Trust &amp; Safety teams with precise, real-time data, in-depth intelligence, and automated tools to protect users and ensure safe online experiences.</p><p><br></p><p>Featuring:</p><ul><li>Matar Haller – <a href="https://github.com/matarhaller">GitHub</a>, <a href="https://www.linkedin.com/in/matarhaller">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.activefence.com">ActiveFence</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/matarhaller" img="https://img.transistorcdn.com/so4Etau3BbN4bo3_DT3gZweWlePHi4SsHDLGhz3vJpA/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81Mzc2/MjIzNzdkMmM5MDc5/NDMzNzhhMTI2NjBj/MTk3Zi5qcGVn.jpg">Matar Haller</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Hybrid computing with quantum processors</title>
      <itunes:episode>200</itunes:episode>
      <podcast:episode>200</podcast:episode>
      <itunes:title>Hybrid computing with quantum processors</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1930</guid>
      <link>https://share.transistor.fm/s/bebc875e</link>
      <description>
        <![CDATA[<p>It’s been a while since we’ve touched on quantum computing. It’s time for an update! This week we talk with Yonatan from Quantum Machines about real progress being made in the practical construction of hybrid computing centers with a mix of classical processors, GPUs, and quantum processors. Quantum Machines is building both hardware and software to help control, program, and integrate quantum processors within a hybrid computing environment.</p><p><br></p><p>Featuring:</p><ul><li>Yonatan Cohen – <a href="https://github.com/yonatan-cohen-h">GitHub</a>, <a href="https://www.linkedin.com/in/yonatan-cohen-10076b113">LinkedIn</a>, <a href="https://x.com/cohen_phd">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><a href="https://www.quantum-machines.co/">Quantum Machines</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>It’s been a while since we’ve touched on quantum computing. It’s time for an update! This week we talk with Yonatan from Quantum Machines about real progress being made in the practical construction of hybrid computing centers with a mix of classical processors, GPUs, and quantum processors. Quantum Machines is building both hardware and software to help control, program, and integrate quantum processors within a hybrid computing environment.</p><p><br></p><p>Featuring:</p><ul><li>Yonatan Cohen – <a href="https://github.com/yonatan-cohen-h">GitHub</a>, <a href="https://www.linkedin.com/in/yonatan-cohen-10076b113">LinkedIn</a>, <a href="https://x.com/cohen_phd">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><a href="https://www.quantum-machines.co/">Quantum Machines</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 08 Nov 2022 16:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/bebc875e/606c872c.mp3" length="42111071" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2617</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>It’s been a while since we’ve touched on quantum computing. It’s time for an update! This week we talk with Yonatan from Quantum Machines about real progress being made in the practical construction of hybrid computing centers with a mix of classical processors, GPUs, and quantum processors. Quantum Machines is building both hardware and software to help control, program, and integrate quantum processors within a hybrid computing environment.</p><p><br></p><p>Featuring:</p><ul><li>Yonatan Cohen – <a href="https://github.com/yonatan-cohen-h">GitHub</a>, <a href="https://www.linkedin.com/in/yonatan-cohen-10076b113">LinkedIn</a>, <a href="https://x.com/cohen_phd">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><a href="https://www.quantum-machines.co/">Quantum Machines</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/yonatancohen" img="https://img.transistorcdn.com/nsqGofNoE0RZgPYQO_aiz4SH8uuXUJvJSOnf6i_xtpw/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81ZDkz/M2RkOGVmNWNmOTk2/MzU4MmJlNmEzZTAz/NTNlNC5wbmc.jpg">Yonatan Cohen</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>The practicalities of releasing models</title>
      <itunes:episode>199</itunes:episode>
      <podcast:episode>199</podcast:episode>
      <itunes:title>The practicalities of releasing models</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1925</guid>
      <link>https://share.transistor.fm/s/36181d91</link>
      <description>
        <![CDATA[<p>Recently Chris and Daniel briefly discussed the Open RAIL-M licensing and model releases on Hugging Face. In this episode, Daniel follows up on this topic based on some recent practical experience. Also included is a discussion about graph neural networks, message passing, and tweaking synthesized voices!</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://huggingface.co/spaces/sil-ai/model-license">Daniel’s team license from recent work</a></li><li><a href="https://www.graphneuralnets.com/">Graph Neural Network courses from Zak Jost</a></li><li><a href="https://coqui.ai/">Coqui voice studio</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Recently Chris and Daniel briefly discussed the Open RAIL-M licensing and model releases on Hugging Face. In this episode, Daniel follows up on this topic based on some recent practical experience. Also included is a discussion about graph neural networks, message passing, and tweaking synthesized voices!</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://huggingface.co/spaces/sil-ai/model-license">Daniel’s team license from recent work</a></li><li><a href="https://www.graphneuralnets.com/">Graph Neural Network courses from Zak Jost</a></li><li><a href="https://coqui.ai/">Coqui voice studio</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 01 Nov 2022 18:35:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/36181d91/8ec3e7e9.mp3" length="36051632" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2239</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Recently Chris and Daniel briefly discussed the Open RAIL-M licensing and model releases on Hugging Face. In this episode, Daniel follows up on this topic based on some recent practical experience. Also included is a discussion about graph neural networks, message passing, and tweaking synthesized voices!</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://huggingface.co/spaces/sil-ai/model-license">Daniel’s team license from recent work</a></li><li><a href="https://www.graphneuralnets.com/">Graph Neural Network courses from Zak Jost</a></li><li><a href="https://coqui.ai/">Coqui voice studio</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>AI adoption in large, well-established companies</title>
      <itunes:episode>198</itunes:episode>
      <podcast:episode>198</podcast:episode>
      <itunes:title>AI adoption in large, well-established companies</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1883</guid>
      <link>https://share.transistor.fm/s/81e8d2c6</link>
      <description>
        <![CDATA[<p>This panel discussion was recorded at a recent event hosted by a company, Aryballe, that we previously featured on the podcast (<a href="https://practicalai.fm/120">#120</a>). We got a chance to discuss the AI-driven technology transforming the order/fragrance industries, and we went down the rabbit hole discussing how this technology is being adopted at large, well-established companies.</p><p><br></p><p>Featuring:</p><ul><li>Mary Fischer-Mullins – <a href="https://www.linkedin.com/in/maryfischermullinspmp">LinkedIn</a></li><li>Yanis Caritu – <a href="https://www.linkedin.com/in/yaniscaritu">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://aryballe.com/">Aryballe</a></li><li><a href="https://www.coxautoinc.com/">Cox Automotive</a></li><li><a href="https://practicalai.fm/120">Previous episode with Aryballe</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>This panel discussion was recorded at a recent event hosted by a company, Aryballe, that we previously featured on the podcast (<a href="https://practicalai.fm/120">#120</a>). We got a chance to discuss the AI-driven technology transforming the order/fragrance industries, and we went down the rabbit hole discussing how this technology is being adopted at large, well-established companies.</p><p><br></p><p>Featuring:</p><ul><li>Mary Fischer-Mullins – <a href="https://www.linkedin.com/in/maryfischermullinspmp">LinkedIn</a></li><li>Yanis Caritu – <a href="https://www.linkedin.com/in/yaniscaritu">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://aryballe.com/">Aryballe</a></li><li><a href="https://www.coxautoinc.com/">Cox Automotive</a></li><li><a href="https://practicalai.fm/120">Previous episode with Aryballe</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 26 Oct 2022 10:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/81e8d2c6/c6b9d091.mp3" length="32156096" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>1995</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>This panel discussion was recorded at a recent event hosted by a company, Aryballe, that we previously featured on the podcast (<a href="https://practicalai.fm/120">#120</a>). We got a chance to discuss the AI-driven technology transforming the order/fragrance industries, and we went down the rabbit hole discussing how this technology is being adopted at large, well-established companies.</p><p><br></p><p>Featuring:</p><ul><li>Mary Fischer-Mullins – <a href="https://www.linkedin.com/in/maryfischermullinspmp">LinkedIn</a></li><li>Yanis Caritu – <a href="https://www.linkedin.com/in/yaniscaritu">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://aryballe.com/">Aryballe</a></li><li><a href="https://www.coxautoinc.com/">Cox Automotive</a></li><li><a href="https://practicalai.fm/120">Previous episode with Aryballe</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/maryfischermullins" img="https://img.transistorcdn.com/r6e-95PF65ibxt81GNpUW3CsUjoR-18aucGOuAMJsS8/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85M2Q5/OTFiNTE2NzFhNTRi/NmIxMTk2YmE0NTZh/NjBkMC5qcGVn.jpg">Mary Fischer-Mullins</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/yaniscaritu" img="https://img.transistorcdn.com/xc_UBib40XVXxE1U0Rx4gSWHiw0kUuXLPDnwrFYBqSY/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xOWNj/Yjg5MzAwNjcyY2E5/OGExMzg5MzQ0MWE5/MDRhNi5qcGc.jpg">Yanis Caritu</podcast:person>
    </item>
    <item>
      <title>Data for All</title>
      <itunes:episode>197</itunes:episode>
      <podcast:episode>197</podcast:episode>
      <itunes:title>Data for All</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1878</guid>
      <link>https://share.transistor.fm/s/03f0ef99</link>
      <description>
        <![CDATA[<p>People are starting to wake up to the fact that they have control and ownership over their data, and governments are moving quickly to legislate these rights. John K. Thompson has written a new book on the topic that is a must read! We talk about the new book in this episode along with how practitioners should be thinking about data exchanges, privacy, trust, and synthetic data.</p><p><br></p><p>Featuring:</p><ul><li>John K. Thompson – <a href="https://www.linkedin.com/in/johnkthompson">LinkedIn</a>, <a href="https://x.com/johnkthompson60">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Use the code <strong>podpracticalAI19</strong> for 40% off of <a href="https://www.manning.com/books/data-for-all">Data for All</a>, along with all Manning products in all formats!!!</p><p>Books</p><ul><li><a href="https://www.manning.com/books/data-for-all">“Data for All” by John K. Thompson</a></li><li>John’s other books: <ul><li><a href="https://www.amazon.com/dp/1800203160">“Building Analytics Teams” by John K. Thompson</a></li><li><a href="https://www.amazon.com/dp/1634622375">“Analytics” by John Thompson and Shawn Rogers</a></li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>People are starting to wake up to the fact that they have control and ownership over their data, and governments are moving quickly to legislate these rights. John K. Thompson has written a new book on the topic that is a must read! We talk about the new book in this episode along with how practitioners should be thinking about data exchanges, privacy, trust, and synthetic data.</p><p><br></p><p>Featuring:</p><ul><li>John K. Thompson – <a href="https://www.linkedin.com/in/johnkthompson">LinkedIn</a>, <a href="https://x.com/johnkthompson60">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Use the code <strong>podpracticalAI19</strong> for 40% off of <a href="https://www.manning.com/books/data-for-all">Data for All</a>, along with all Manning products in all formats!!!</p><p>Books</p><ul><li><a href="https://www.manning.com/books/data-for-all">“Data for All” by John K. Thompson</a></li><li>John’s other books: <ul><li><a href="https://www.amazon.com/dp/1800203160">“Building Analytics Teams” by John K. Thompson</a></li><li><a href="https://www.amazon.com/dp/1634622375">“Analytics” by John Thompson and Shawn Rogers</a></li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 18 Oct 2022 10:05:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/03f0ef99/8921d7df.mp3" length="47706329" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2967</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>People are starting to wake up to the fact that they have control and ownership over their data, and governments are moving quickly to legislate these rights. John K. Thompson has written a new book on the topic that is a must read! We talk about the new book in this episode along with how practitioners should be thinking about data exchanges, privacy, trust, and synthetic data.</p><p><br></p><p>Featuring:</p><ul><li>John K. Thompson – <a href="https://www.linkedin.com/in/johnkthompson">LinkedIn</a>, <a href="https://x.com/johnkthompson60">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Use the code <strong>podpracticalAI19</strong> for 40% off of <a href="https://www.manning.com/books/data-for-all">Data for All</a>, along with all Manning products in all formats!!!</p><p>Books</p><ul><li><a href="https://www.manning.com/books/data-for-all">“Data for All” by John K. Thompson</a></li><li>John’s other books: <ul><li><a href="https://www.amazon.com/dp/1800203160">“Building Analytics Teams” by John K. Thompson</a></li><li><a href="https://www.amazon.com/dp/1634622375">“Analytics” by John Thompson and Shawn Rogers</a></li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/johnkthompson" img="https://img.transistorcdn.com/EzHG93bYoslBVBBC1Ch0Wn9n3qY7On72kZgTCM_6xk0/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jYThh/YmJlOTVhZTQ4MzBk/NmM3MGRlODUyYmI1/NDAxMC5qcGc.jpg">John K. Thompson</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>What's up, DocQuery?</title>
      <itunes:episode>196</itunes:episode>
      <podcast:episode>196</podcast:episode>
      <itunes:title>What's up, DocQuery?</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1872</guid>
      <link>https://share.transistor.fm/s/d38492e4</link>
      <description>
        <![CDATA[<p>Chris sits down with Ankur Goyal to talk about <a href="https://www.impira.com/product/docquery">DocQuery</a>, Impira’s new open source ML model. DocQuery lets you ask questions about semi-structured data (like invoices) and unstructured documents (like contracts) using Large Language Models (LLMs). Ankur illustrates many of the ways DocQuery can help people tame documents, and references Chris’s real life tasks as a non-profit director to demonstrate that DocQuery is indeed <em>practical</em> AI.</p><p><br></p><p>Featuring:</p><ul><li>Ankur Goyal – <a href="https://www.linkedin.com/in/ankrgyl">LinkedIn</a>, <a href="https://x.com/ankrgyl">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.impira.com/product/docquery">DocQuery</a></li><li><a href="https://twitter.com/ankrgyl/status/1565437042032402433">DocQuery Announcement</a></li><li><a href="https://www.impira.com/blog/hey-machine-whats-my-invoice-total">DocQuery Blog Announcement</a></li><li><a href="https://github.com/impira/docquery">DocQuery | GitHub</a></li><li><a href="https://www.impira.com">Impira</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Chris sits down with Ankur Goyal to talk about <a href="https://www.impira.com/product/docquery">DocQuery</a>, Impira’s new open source ML model. DocQuery lets you ask questions about semi-structured data (like invoices) and unstructured documents (like contracts) using Large Language Models (LLMs). Ankur illustrates many of the ways DocQuery can help people tame documents, and references Chris’s real life tasks as a non-profit director to demonstrate that DocQuery is indeed <em>practical</em> AI.</p><p><br></p><p>Featuring:</p><ul><li>Ankur Goyal – <a href="https://www.linkedin.com/in/ankrgyl">LinkedIn</a>, <a href="https://x.com/ankrgyl">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.impira.com/product/docquery">DocQuery</a></li><li><a href="https://twitter.com/ankrgyl/status/1565437042032402433">DocQuery Announcement</a></li><li><a href="https://www.impira.com/blog/hey-machine-whats-my-invoice-total">DocQuery Blog Announcement</a></li><li><a href="https://github.com/impira/docquery">DocQuery | GitHub</a></li><li><a href="https://www.impira.com">Impira</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 12 Oct 2022 11:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/d38492e4/4a5e69f1.mp3" length="40832663" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2537</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Chris sits down with Ankur Goyal to talk about <a href="https://www.impira.com/product/docquery">DocQuery</a>, Impira’s new open source ML model. DocQuery lets you ask questions about semi-structured data (like invoices) and unstructured documents (like contracts) using Large Language Models (LLMs). Ankur illustrates many of the ways DocQuery can help people tame documents, and references Chris’s real life tasks as a non-profit director to demonstrate that DocQuery is indeed <em>practical</em> AI.</p><p><br></p><p>Featuring:</p><ul><li>Ankur Goyal – <a href="https://www.linkedin.com/in/ankrgyl">LinkedIn</a>, <a href="https://x.com/ankrgyl">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.impira.com/product/docquery">DocQuery</a></li><li><a href="https://twitter.com/ankrgyl/status/1565437042032402433">DocQuery Announcement</a></li><li><a href="https://www.impira.com/blog/hey-machine-whats-my-invoice-total">DocQuery Blog Announcement</a></li><li><a href="https://github.com/impira/docquery">DocQuery | GitHub</a></li><li><a href="https://www.impira.com">Impira</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/ankrgyl" img="https://img.transistorcdn.com/xjO4REYY1F8CTf5HdKMdvlU2OCROVPriU8D4KV9ZH7o/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hN2Iz/ODE2ZWQ4MDk5Nzc2/ZjUyOWRhODZjMTg3/MTYzMC5qcGc.jpg">Ankur Goyal</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
    </item>
    <item>
      <title>Production data labeling workflows</title>
      <itunes:episode>195</itunes:episode>
      <podcast:episode>195</podcast:episode>
      <itunes:title>Production data labeling workflows</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1860</guid>
      <link>https://share.transistor.fm/s/7af850a8</link>
      <description>
        <![CDATA[<p>It’s one thing to gather some labels for your data. It’s another thing to integrate data labeling into your workflows and infrastructure in a scalable, secure, and useful way. Mark from Xelex joins us to talk through some of what he has learned after helping companies scale their data annotation efforts. We get into workflow management, labeling instructions, team dynamics, and quality assessment. This is a super practical episode!</p><p><br></p><p>Featuring:</p><ul><li>Mark Christensen – <a href="https://xelex.ai">Website</a>, <a href="https://www.linkedin.com/in/mark-christensen-ceo-85795728">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://xelex.ai/">Xelex.ai</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>It’s one thing to gather some labels for your data. It’s another thing to integrate data labeling into your workflows and infrastructure in a scalable, secure, and useful way. Mark from Xelex joins us to talk through some of what he has learned after helping companies scale their data annotation efforts. We get into workflow management, labeling instructions, team dynamics, and quality assessment. This is a super practical episode!</p><p><br></p><p>Featuring:</p><ul><li>Mark Christensen – <a href="https://xelex.ai">Website</a>, <a href="https://www.linkedin.com/in/mark-christensen-ceo-85795728">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://xelex.ai/">Xelex.ai</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 27 Sep 2022 15:40:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/7af850a8/3f7ceed7.mp3" length="30686500" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>1903</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>It’s one thing to gather some labels for your data. It’s another thing to integrate data labeling into your workflows and infrastructure in a scalable, secure, and useful way. Mark from Xelex joins us to talk through some of what he has learned after helping companies scale their data annotation efforts. We get into workflow management, labeling instructions, team dynamics, and quality assessment. This is a super practical episode!</p><p><br></p><p>Featuring:</p><ul><li>Mark Christensen – <a href="https://xelex.ai">Website</a>, <a href="https://www.linkedin.com/in/mark-christensen-ceo-85795728">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://xelex.ai/">Xelex.ai</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/mchristensen" img="https://img.transistorcdn.com/rOFNz8Xxk0fY1Qw5DMXuj6XdSWgxSR9tgaPg2FAgl3Y/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9iM2M5/NWFlMjkyOTk2YzQ1/MjdhNmVmMTQwYzI0/OTQxMS5qcGVn.jpg">Mark Christensen</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Evaluating models without test data</title>
      <itunes:episode>194</itunes:episode>
      <podcast:episode>194</podcast:episode>
      <itunes:title>Evaluating models without test data</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1849</guid>
      <link>https://share.transistor.fm/s/0c672de3</link>
      <description>
        <![CDATA[<p>WeightWatcher, created by Charles Martin, is an open source diagnostic tool for analyzing Neural Networks without training or even test data! Charles joins us in this episode to discuss the tool and how it fills certain gaps in current model evaluation workflows. Along the way, we discuss statistical methods from physics and a variety of practical ways to modify your training runs.</p><p><br></p><p>Featuring:</p><ul><li>Charles Martin – <a href="https://github.com/charlesmartin14">GitHub</a>, <a href="https://www.linkedin.com/in/charlesmartin14">LinkedIn</a>, <a href="https://x.com/charlesmartin14">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/CalculatedContent/WeightWatcher">WeightWatcher</a></li><li><a href="https://www.youtube.com/watch?v=Tnafo6JVoJs">Talk from the Silicon Valley ACM meetup</a></li><li><a href="https://youtu.be/xEuBwBj_Ov4">A deep dive into the theory behind WeightWatcher (a talk from ENS)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>WeightWatcher, created by Charles Martin, is an open source diagnostic tool for analyzing Neural Networks without training or even test data! Charles joins us in this episode to discuss the tool and how it fills certain gaps in current model evaluation workflows. Along the way, we discuss statistical methods from physics and a variety of practical ways to modify your training runs.</p><p><br></p><p>Featuring:</p><ul><li>Charles Martin – <a href="https://github.com/charlesmartin14">GitHub</a>, <a href="https://www.linkedin.com/in/charlesmartin14">LinkedIn</a>, <a href="https://x.com/charlesmartin14">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/CalculatedContent/WeightWatcher">WeightWatcher</a></li><li><a href="https://www.youtube.com/watch?v=Tnafo6JVoJs">Talk from the Silicon Valley ACM meetup</a></li><li><a href="https://youtu.be/xEuBwBj_Ov4">A deep dive into the theory behind WeightWatcher (a talk from ENS)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 20 Sep 2022 15:20:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/0c672de3/f45eec9e.mp3" length="43330877" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2693</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>WeightWatcher, created by Charles Martin, is an open source diagnostic tool for analyzing Neural Networks without training or even test data! Charles joins us in this episode to discuss the tool and how it fills certain gaps in current model evaluation workflows. Along the way, we discuss statistical methods from physics and a variety of practical ways to modify your training runs.</p><p><br></p><p>Featuring:</p><ul><li>Charles Martin – <a href="https://github.com/charlesmartin14">GitHub</a>, <a href="https://www.linkedin.com/in/charlesmartin14">LinkedIn</a>, <a href="https://x.com/charlesmartin14">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/CalculatedContent/WeightWatcher">WeightWatcher</a></li><li><a href="https://www.youtube.com/watch?v=Tnafo6JVoJs">Talk from the Silicon Valley ACM meetup</a></li><li><a href="https://youtu.be/xEuBwBj_Ov4">A deep dive into the theory behind WeightWatcher (a talk from ENS)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/charlesmartin14" img="https://img.transistorcdn.com/WXLElmhWFnlvyxLMu6s2cwN7Hu_zwgt2QJfWG44aqFE/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yNDdi/YzQ1NGZlMDRjNjQw/NmFlNDZlMGZiNTE3/NDk5Ni5qcGVn.jpg">Charles Martin</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Stable Diffusion</title>
      <itunes:episode>193</itunes:episode>
      <podcast:episode>193</podcast:episode>
      <itunes:title>Stable Diffusion</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1841</guid>
      <link>https://share.transistor.fm/s/e1f7a9a9</link>
      <description>
        <![CDATA[<p>The new stable diffusion model is everywhere! Of course you can use this model to quickly and easily create amazing, dream-like images to post on twitter, reddit, discord, etc., but this technology is also poised to be used in very pragmatic ways across industry. In this episode, Chris and Daniel take a deep dive into all things stable diffusion. They discuss the motivations for the work, the model architecture, and the differences between this model and other related releases (e.g., DALL·E 2).</p><p><br> (Image from stability.ai)</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://stability.ai/blog/stable-diffusion-announcement">Announcement blog post</a></li><li><a href="https://openaccess.thecvf.com/content/CVPR2022/papers/Rombach_High-Resolution_Image_Synthesis_With_Latent_Diffusion_Models_CVPR_2022_paper.pdf">Stable diffusion paper</a></li><li><a href="https://www.paepper.com/blog/posts/how-and-why-stable-diffusion-works-for-text-to-image-generation/">Blog post about the model from Marc Päpper</a></li><li><a href="https://huggingface.co/CompVis/stable-diffusion-v1-4">Stable Diffusion on Hugging Face</a></li><li><a href="https://github.com/huggingface/diffusers">Hugging Face Diffusers library</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>The new stable diffusion model is everywhere! Of course you can use this model to quickly and easily create amazing, dream-like images to post on twitter, reddit, discord, etc., but this technology is also poised to be used in very pragmatic ways across industry. In this episode, Chris and Daniel take a deep dive into all things stable diffusion. They discuss the motivations for the work, the model architecture, and the differences between this model and other related releases (e.g., DALL·E 2).</p><p><br> (Image from stability.ai)</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://stability.ai/blog/stable-diffusion-announcement">Announcement blog post</a></li><li><a href="https://openaccess.thecvf.com/content/CVPR2022/papers/Rombach_High-Resolution_Image_Synthesis_With_Latent_Diffusion_Models_CVPR_2022_paper.pdf">Stable diffusion paper</a></li><li><a href="https://www.paepper.com/blog/posts/how-and-why-stable-diffusion-works-for-text-to-image-generation/">Blog post about the model from Marc Päpper</a></li><li><a href="https://huggingface.co/CompVis/stable-diffusion-v1-4">Stable Diffusion on Hugging Face</a></li><li><a href="https://github.com/huggingface/diffusers">Hugging Face Diffusers library</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 13 Sep 2022 18:20:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/e1f7a9a9/a4cd964e.mp3" length="42688560" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2653</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>The new stable diffusion model is everywhere! Of course you can use this model to quickly and easily create amazing, dream-like images to post on twitter, reddit, discord, etc., but this technology is also poised to be used in very pragmatic ways across industry. In this episode, Chris and Daniel take a deep dive into all things stable diffusion. They discuss the motivations for the work, the model architecture, and the differences between this model and other related releases (e.g., DALL·E 2).</p><p><br> (Image from stability.ai)</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://stability.ai/blog/stable-diffusion-announcement">Announcement blog post</a></li><li><a href="https://openaccess.thecvf.com/content/CVPR2022/papers/Rombach_High-Resolution_Image_Synthesis_With_Latent_Diffusion_Models_CVPR_2022_paper.pdf">Stable diffusion paper</a></li><li><a href="https://www.paepper.com/blog/posts/how-and-why-stable-diffusion-works-for-text-to-image-generation/">Blog post about the model from Marc Päpper</a></li><li><a href="https://huggingface.co/CompVis/stable-diffusion-v1-4">Stable Diffusion on Hugging Face</a></li><li><a href="https://github.com/huggingface/diffusers">Hugging Face Diffusers library</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Licensing &amp; automating creativity</title>
      <itunes:episode>192</itunes:episode>
      <podcast:episode>192</podcast:episode>
      <itunes:title>Licensing &amp; automating creativity</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1834</guid>
      <link>https://share.transistor.fm/s/26f3adb3</link>
      <description>
        <![CDATA[<p>AI is increasingly being applied in creative and artistic ways, especially with recent tools integrating models like Stable Diffusion. This is making some artists mad. How should we be thinking about these trends more generally, and how can we as practitioners release and license models anticipating human impacts? We explore this along with other topics (like AI models detecting swimming pools 😊) in this fully connected episode.</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Automation and creativity</p><ul><li><a href="https://www.theregister.com/2022/09/01/call-center-ai-gartner">Goodbye, humans: Call centers ‘could save $80b’ switching to AI</a></li><li><a href="https://www.fastcompany.com/90783798/dall-e-image-generator-now-goes-beyond-the-frame">DALL-E can now use AI to extend images as a human artist might</a><br> -<a href="https://www.vice.com/en/article/bvmvqm/an-ai-generated-artwork-won-first-place-at-a-state-fair-fine-arts-competition-and-artists-are-pissed">An AI-Generated Artwork Won First Place at a State Fair Fine Arts Competition, and Artists Are Pissed</a></li></ul><p>Nation states and AI</p><ul><li><a href="https://www.bbc.com/news/world-europe-62717599">Undeclared pools in France uncovered by AI technology</a></li><li><a href="https://arstechnica.com/information-technology/2022/08/france-reveals-hidden-swimming-pools-with-ai-taxes-them">France reveals hidden swimming pools with AI, taxes them</a></li><li><a href="https://www.cnbc.com/2022/09/01/nvidia-says-us-government-allows-ai-chip-development-in-china.html">Nvidia says U.S. government allows A.I. chip development in China</a></li><li><a href="https://www.foreignaffairs.com/world/spirals-delusion-artificial-intelligence-decision-making">Foreign Affairs: Spirals of Delusion - How AI Distorts Decision-Making and Makes Dictators More Dangerous</a></li></ul><p>Resources</p><ul><li><a href="https://huggingface.co/blog/open_rail">Open RAIL Licenses</a></li><li><a href="https://normconf.com/">NormConf</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>AI is increasingly being applied in creative and artistic ways, especially with recent tools integrating models like Stable Diffusion. This is making some artists mad. How should we be thinking about these trends more generally, and how can we as practitioners release and license models anticipating human impacts? We explore this along with other topics (like AI models detecting swimming pools 😊) in this fully connected episode.</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Automation and creativity</p><ul><li><a href="https://www.theregister.com/2022/09/01/call-center-ai-gartner">Goodbye, humans: Call centers ‘could save $80b’ switching to AI</a></li><li><a href="https://www.fastcompany.com/90783798/dall-e-image-generator-now-goes-beyond-the-frame">DALL-E can now use AI to extend images as a human artist might</a><br> -<a href="https://www.vice.com/en/article/bvmvqm/an-ai-generated-artwork-won-first-place-at-a-state-fair-fine-arts-competition-and-artists-are-pissed">An AI-Generated Artwork Won First Place at a State Fair Fine Arts Competition, and Artists Are Pissed</a></li></ul><p>Nation states and AI</p><ul><li><a href="https://www.bbc.com/news/world-europe-62717599">Undeclared pools in France uncovered by AI technology</a></li><li><a href="https://arstechnica.com/information-technology/2022/08/france-reveals-hidden-swimming-pools-with-ai-taxes-them">France reveals hidden swimming pools with AI, taxes them</a></li><li><a href="https://www.cnbc.com/2022/09/01/nvidia-says-us-government-allows-ai-chip-development-in-china.html">Nvidia says U.S. government allows A.I. chip development in China</a></li><li><a href="https://www.foreignaffairs.com/world/spirals-delusion-artificial-intelligence-decision-making">Foreign Affairs: Spirals of Delusion - How AI Distorts Decision-Making and Makes Dictators More Dangerous</a></li></ul><p>Resources</p><ul><li><a href="https://huggingface.co/blog/open_rail">Open RAIL Licenses</a></li><li><a href="https://normconf.com/">NormConf</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 06 Sep 2022 17:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/26f3adb3/20dc000b.mp3" length="43229380" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2662</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>AI is increasingly being applied in creative and artistic ways, especially with recent tools integrating models like Stable Diffusion. This is making some artists mad. How should we be thinking about these trends more generally, and how can we as practitioners release and license models anticipating human impacts? We explore this along with other topics (like AI models detecting swimming pools 😊) in this fully connected episode.</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Automation and creativity</p><ul><li><a href="https://www.theregister.com/2022/09/01/call-center-ai-gartner">Goodbye, humans: Call centers ‘could save $80b’ switching to AI</a></li><li><a href="https://www.fastcompany.com/90783798/dall-e-image-generator-now-goes-beyond-the-frame">DALL-E can now use AI to extend images as a human artist might</a><br> -<a href="https://www.vice.com/en/article/bvmvqm/an-ai-generated-artwork-won-first-place-at-a-state-fair-fine-arts-competition-and-artists-are-pissed">An AI-Generated Artwork Won First Place at a State Fair Fine Arts Competition, and Artists Are Pissed</a></li></ul><p>Nation states and AI</p><ul><li><a href="https://www.bbc.com/news/world-europe-62717599">Undeclared pools in France uncovered by AI technology</a></li><li><a href="https://arstechnica.com/information-technology/2022/08/france-reveals-hidden-swimming-pools-with-ai-taxes-them">France reveals hidden swimming pools with AI, taxes them</a></li><li><a href="https://www.cnbc.com/2022/09/01/nvidia-says-us-government-allows-ai-chip-development-in-china.html">Nvidia says U.S. government allows A.I. chip development in China</a></li><li><a href="https://www.foreignaffairs.com/world/spirals-delusion-artificial-intelligence-decision-making">Foreign Affairs: Spirals of Delusion - How AI Distorts Decision-Making and Makes Dictators More Dangerous</a></li></ul><p>Resources</p><ul><li><a href="https://huggingface.co/blog/open_rail">Open RAIL Licenses</a></li><li><a href="https://normconf.com/">NormConf</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Privacy in the age of AI</title>
      <itunes:episode>191</itunes:episode>
      <podcast:episode>191</podcast:episode>
      <itunes:title>Privacy in the age of AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1815</guid>
      <link>https://share.transistor.fm/s/893e6ec0</link>
      <description>
        <![CDATA[<p>In this Fully-Connected episode, Daniel and Chris discuss concerns of privacy in the face of ever-improving AI / ML technologies. Evaluating AI’s impact on privacy from various angles, they note that ethical AI practitioners and data scientists have an enormous burden, given that much of the general population may not understand the implications of the data privacy decisions of everyday life.</p><p>This intentionally thought-provoking conversation advocates consideration and action from each listener when it comes to evaluating how their own activities either protect or violate the privacy of those whom they impact.</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://ai.google/responsibilities/responsible-ai-practices/?category=privacy">Google’s Responsible AI Practices - Privacy</a></li><li><a href="https://www.immuta.com/blog/what-is-data-de-identification">What is Data De-identification and Why is It Important?</a></li><li><a href="https://huggingface.co/spaces/stabilityai/stable-diffusion">Hugging Face - Stable Diffusion Demo</a></li><li><a href="https://explosion.ai/blog/floret-vectors">floret: lightweight, robust word vectors</a></li><li><a href="https://plan.seek.intel.com/psg_ASMO_dcaipsgloc_LPE_EN_2022_oneAPIworkshopSep8?cid=em&amp;source=elo&amp;campid=psg_ASMO_dcaipsgloc_EMIE_EN_2022_oneAPI%20workshop%20invite_C-MKA-29855_T-MKA-33098&amp;content=psg_ASMO_dcaipsgloc_EMIE_EN_2022_oneAPI%20workshop%20invite_C-MKA-29855_T-MKA-33098&amp;elq_cid=6649892&amp;em_id=83558&amp;elqrid=3039f3b248fb40cc890417beb8248254&amp;elqcampid=52978&amp;erpm_id=9748747">Using oneAPI with Intel® FPGAs Workshop</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this Fully-Connected episode, Daniel and Chris discuss concerns of privacy in the face of ever-improving AI / ML technologies. Evaluating AI’s impact on privacy from various angles, they note that ethical AI practitioners and data scientists have an enormous burden, given that much of the general population may not understand the implications of the data privacy decisions of everyday life.</p><p>This intentionally thought-provoking conversation advocates consideration and action from each listener when it comes to evaluating how their own activities either protect or violate the privacy of those whom they impact.</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://ai.google/responsibilities/responsible-ai-practices/?category=privacy">Google’s Responsible AI Practices - Privacy</a></li><li><a href="https://www.immuta.com/blog/what-is-data-de-identification">What is Data De-identification and Why is It Important?</a></li><li><a href="https://huggingface.co/spaces/stabilityai/stable-diffusion">Hugging Face - Stable Diffusion Demo</a></li><li><a href="https://explosion.ai/blog/floret-vectors">floret: lightweight, robust word vectors</a></li><li><a href="https://plan.seek.intel.com/psg_ASMO_dcaipsgloc_LPE_EN_2022_oneAPIworkshopSep8?cid=em&amp;source=elo&amp;campid=psg_ASMO_dcaipsgloc_EMIE_EN_2022_oneAPI%20workshop%20invite_C-MKA-29855_T-MKA-33098&amp;content=psg_ASMO_dcaipsgloc_EMIE_EN_2022_oneAPI%20workshop%20invite_C-MKA-29855_T-MKA-33098&amp;elq_cid=6649892&amp;em_id=83558&amp;elqrid=3039f3b248fb40cc890417beb8248254&amp;elqcampid=52978&amp;erpm_id=9748747">Using oneAPI with Intel® FPGAs Workshop</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 30 Aug 2022 15:20:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/893e6ec0/96c5a159.mp3" length="41930050" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2581</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this Fully-Connected episode, Daniel and Chris discuss concerns of privacy in the face of ever-improving AI / ML technologies. Evaluating AI’s impact on privacy from various angles, they note that ethical AI practitioners and data scientists have an enormous burden, given that much of the general population may not understand the implications of the data privacy decisions of everyday life.</p><p>This intentionally thought-provoking conversation advocates consideration and action from each listener when it comes to evaluating how their own activities either protect or violate the privacy of those whom they impact.</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://ai.google/responsibilities/responsible-ai-practices/?category=privacy">Google’s Responsible AI Practices - Privacy</a></li><li><a href="https://www.immuta.com/blog/what-is-data-de-identification">What is Data De-identification and Why is It Important?</a></li><li><a href="https://huggingface.co/spaces/stabilityai/stable-diffusion">Hugging Face - Stable Diffusion Demo</a></li><li><a href="https://explosion.ai/blog/floret-vectors">floret: lightweight, robust word vectors</a></li><li><a href="https://plan.seek.intel.com/psg_ASMO_dcaipsgloc_LPE_EN_2022_oneAPIworkshopSep8?cid=em&amp;source=elo&amp;campid=psg_ASMO_dcaipsgloc_EMIE_EN_2022_oneAPI%20workshop%20invite_C-MKA-29855_T-MKA-33098&amp;content=psg_ASMO_dcaipsgloc_EMIE_EN_2022_oneAPI%20workshop%20invite_C-MKA-29855_T-MKA-33098&amp;elq_cid=6649892&amp;em_id=83558&amp;elqrid=3039f3b248fb40cc890417beb8248254&amp;elqcampid=52978&amp;erpm_id=9748747">Using oneAPI with Intel® FPGAs Workshop</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Practical, positive uses for deep fakes</title>
      <itunes:episode>190</itunes:episode>
      <podcast:episode>190</podcast:episode>
      <itunes:title>Practical, positive uses for deep fakes</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1814</guid>
      <link>https://share.transistor.fm/s/20701c82</link>
      <description>
        <![CDATA[<p>Differentiating between what is real versus what is fake on the internet can be challenging. Historically, AI deepfakes have only added to the confusion and chaos, but when labeled and intended for good, deepfakes can be extremely helpful. But with all of the misinformation surrounding deepfakes, it can be hard to see the benefits they bring. Lior Hakim, CTO at Hour One, joins Chris and Daniel to shed some light on the practical uses of deepfakes. He addresses the AI technology behind deepfakes, how to make positive use of deep fakes such as breaking down communications barriers, and shares how Hour One specializes in the development of virtual humans for use in professional video communications.</p><p><br></p><p>Featuring:</p><ul><li>Lior Hakim – <a href="https://www.liorhakim.com">Website</a>, <a href="https://www.linkedin.com/in/hakiml">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://hourone.ai">Hour One</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Differentiating between what is real versus what is fake on the internet can be challenging. Historically, AI deepfakes have only added to the confusion and chaos, but when labeled and intended for good, deepfakes can be extremely helpful. But with all of the misinformation surrounding deepfakes, it can be hard to see the benefits they bring. Lior Hakim, CTO at Hour One, joins Chris and Daniel to shed some light on the practical uses of deepfakes. He addresses the AI technology behind deepfakes, how to make positive use of deep fakes such as breaking down communications barriers, and shares how Hour One specializes in the development of virtual humans for use in professional video communications.</p><p><br></p><p>Featuring:</p><ul><li>Lior Hakim – <a href="https://www.liorhakim.com">Website</a>, <a href="https://www.linkedin.com/in/hakiml">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://hourone.ai">Hour One</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 24 Aug 2022 11:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/20701c82/ef2671f8.mp3" length="41760767" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2595</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Differentiating between what is real versus what is fake on the internet can be challenging. Historically, AI deepfakes have only added to the confusion and chaos, but when labeled and intended for good, deepfakes can be extremely helpful. But with all of the misinformation surrounding deepfakes, it can be hard to see the benefits they bring. Lior Hakim, CTO at Hour One, joins Chris and Daniel to shed some light on the practical uses of deepfakes. He addresses the AI technology behind deepfakes, how to make positive use of deep fakes such as breaking down communications barriers, and shares how Hour One specializes in the development of virtual humans for use in professional video communications.</p><p><br></p><p>Featuring:</p><ul><li>Lior Hakim – <a href="https://www.liorhakim.com">Website</a>, <a href="https://www.linkedin.com/in/hakiml">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://hourone.ai">Hour One</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/liorhakim" img="https://img.transistorcdn.com/FYwuTxW2RXZ0LpgMGAUoWjIXM0I5ay-Z2xb_Hp1DdmU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wOGI5/ZTFlYmRiMzkxNTYy/NTA4NzE1MDFjZDk3/Nzg3ZC5wbmc.jpg">Lior Hakim</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>CMU's AI pilot lands in the news 🗞</title>
      <itunes:episode>189</itunes:episode>
      <podcast:episode>189</podcast:episode>
      <itunes:title>CMU's AI pilot lands in the news 🗞</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1807</guid>
      <link>https://share.transistor.fm/s/661a4a9f</link>
      <description>
        <![CDATA[<p>Daniel and Chris cover the AI news of the day in this wide-ranging discussion. They start with Truss from Baseten while addressing how to categorize AI infrastructure and tools. Then they move on to transformers (again!), and somehow arrive at an AI pilot model from CMU that can navigate crowded airspace (much to Chris’s delight).</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/basetenlabs/truss">Truss on GitHub</a></li><li><a href="https://www.cs.cmu.edu/news/2022/ai-pilot">CMU: AI Pilot Can Navigate Crowded Airspace</a></li><li><a href="https://arxiv.org/abs/2208.03306">Embarrassingly Parallel Training of Expert Language Models</a></li><li><a href="https://jointoucan.com">Toucan: Learn español without even trying</a></li><li><a href="https://arxiv.org/pdf/2208.04309v1.pdf">3D Vision with Transformers: A Survey</a></li><li><a href="https://www.getsphere.com/ml-engineering/natural-language-processing-with-transformers?source=Instructor-Socials-LinkedIn-80822-announcement-post">Sphere: Natural Language Processing with Transformers</a></li><li><a href="https://github.com/samyk/skyjack">SkyJack on GitHub</a></li><li><a href="https://www.nvidia.com/en-us/research/ai-demos">NVIDIA AI Demos</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel and Chris cover the AI news of the day in this wide-ranging discussion. They start with Truss from Baseten while addressing how to categorize AI infrastructure and tools. Then they move on to transformers (again!), and somehow arrive at an AI pilot model from CMU that can navigate crowded airspace (much to Chris’s delight).</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/basetenlabs/truss">Truss on GitHub</a></li><li><a href="https://www.cs.cmu.edu/news/2022/ai-pilot">CMU: AI Pilot Can Navigate Crowded Airspace</a></li><li><a href="https://arxiv.org/abs/2208.03306">Embarrassingly Parallel Training of Expert Language Models</a></li><li><a href="https://jointoucan.com">Toucan: Learn español without even trying</a></li><li><a href="https://arxiv.org/pdf/2208.04309v1.pdf">3D Vision with Transformers: A Survey</a></li><li><a href="https://www.getsphere.com/ml-engineering/natural-language-processing-with-transformers?source=Instructor-Socials-LinkedIn-80822-announcement-post">Sphere: Natural Language Processing with Transformers</a></li><li><a href="https://github.com/samyk/skyjack">SkyJack on GitHub</a></li><li><a href="https://www.nvidia.com/en-us/research/ai-demos">NVIDIA AI Demos</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 16 Aug 2022 17:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/661a4a9f/c151152e.mp3" length="40316238" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2486</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel and Chris cover the AI news of the day in this wide-ranging discussion. They start with Truss from Baseten while addressing how to categorize AI infrastructure and tools. Then they move on to transformers (again!), and somehow arrive at an AI pilot model from CMU that can navigate crowded airspace (much to Chris’s delight).</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/basetenlabs/truss">Truss on GitHub</a></li><li><a href="https://www.cs.cmu.edu/news/2022/ai-pilot">CMU: AI Pilot Can Navigate Crowded Airspace</a></li><li><a href="https://arxiv.org/abs/2208.03306">Embarrassingly Parallel Training of Expert Language Models</a></li><li><a href="https://jointoucan.com">Toucan: Learn español without even trying</a></li><li><a href="https://arxiv.org/pdf/2208.04309v1.pdf">3D Vision with Transformers: A Survey</a></li><li><a href="https://www.getsphere.com/ml-engineering/natural-language-processing-with-transformers?source=Instructor-Socials-LinkedIn-80822-announcement-post">Sphere: Natural Language Processing with Transformers</a></li><li><a href="https://github.com/samyk/skyjack">SkyJack on GitHub</a></li><li><a href="https://www.nvidia.com/en-us/research/ai-demos">NVIDIA AI Demos</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>AlphaFold is revolutionizing biology</title>
      <itunes:episode>188</itunes:episode>
      <podcast:episode>188</podcast:episode>
      <itunes:title>AlphaFold is revolutionizing biology</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1798</guid>
      <link>https://share.transistor.fm/s/096a1573</link>
      <description>
        <![CDATA[<p>AlphaFold is an AI system developed by DeepMind that predicts a protein’s 3D structure from its amino acid sequence. It regularly achieves accuracy competitive with experiment, and is accelerating research in nearly every field of biology. Daniel and Chris delve into protein folding, and explore the implications of this revolutionary and hugely impactful application of AI.</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.deepmind.com/research/highlighted-research/alphafold">AlphaFold</a></li><li><a href="https://www.deepmind.com/blog/alphafold-reveals-the-structure-of-the-protein-universe">AlphaFold reveals the structure of the protein universe</a></li><li><a href="https://www.deepmind.com/research/highlighted-research/alphafold/timeline-of-a-breakthrough">AlphaFold: Timeline of a breakthrough</a></li><li><a href="https://alphafold.ebi.ac.uk">AlphaFold Protein Structure Database</a></li><li><a href="https://github.com/deepmind/alphafold">GitHub: deepmind / alphafold</a></li><li><a href="https://www.blopig.com/blog/2021/07/alphafold-2-is-here-whats-behind-the-structure-prediction-miracle">Oxford Protein Informatics Group: AlphaFold 2 is here: what’s behind the structure prediction miracle</a></li><li><a href="https://www.nature.com/articles/d41586-022-02088-x">Nature: How AlphaFold can realize AI’s full potential in structural biology</a></li><li><a href="https://www.nature.com/articles/d41586-022-02083-2">Nature: ‘The entire protein universe’: AI predicts shape of nearly every known protein</a></li><li><a href="https://www.nature.com/articles/s41586-021-03819-2">Nature: Highly accurate protein structure prediction with AlphaFold</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>AlphaFold is an AI system developed by DeepMind that predicts a protein’s 3D structure from its amino acid sequence. It regularly achieves accuracy competitive with experiment, and is accelerating research in nearly every field of biology. Daniel and Chris delve into protein folding, and explore the implications of this revolutionary and hugely impactful application of AI.</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.deepmind.com/research/highlighted-research/alphafold">AlphaFold</a></li><li><a href="https://www.deepmind.com/blog/alphafold-reveals-the-structure-of-the-protein-universe">AlphaFold reveals the structure of the protein universe</a></li><li><a href="https://www.deepmind.com/research/highlighted-research/alphafold/timeline-of-a-breakthrough">AlphaFold: Timeline of a breakthrough</a></li><li><a href="https://alphafold.ebi.ac.uk">AlphaFold Protein Structure Database</a></li><li><a href="https://github.com/deepmind/alphafold">GitHub: deepmind / alphafold</a></li><li><a href="https://www.blopig.com/blog/2021/07/alphafold-2-is-here-whats-behind-the-structure-prediction-miracle">Oxford Protein Informatics Group: AlphaFold 2 is here: what’s behind the structure prediction miracle</a></li><li><a href="https://www.nature.com/articles/d41586-022-02088-x">Nature: How AlphaFold can realize AI’s full potential in structural biology</a></li><li><a href="https://www.nature.com/articles/d41586-022-02083-2">Nature: ‘The entire protein universe’: AI predicts shape of nearly every known protein</a></li><li><a href="https://www.nature.com/articles/s41586-021-03819-2">Nature: Highly accurate protein structure prediction with AlphaFold</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 09 Aug 2022 15:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/096a1573/8b32eeba.mp3" length="43590575" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2710</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>AlphaFold is an AI system developed by DeepMind that predicts a protein’s 3D structure from its amino acid sequence. It regularly achieves accuracy competitive with experiment, and is accelerating research in nearly every field of biology. Daniel and Chris delve into protein folding, and explore the implications of this revolutionary and hugely impactful application of AI.</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.deepmind.com/research/highlighted-research/alphafold">AlphaFold</a></li><li><a href="https://www.deepmind.com/blog/alphafold-reveals-the-structure-of-the-protein-universe">AlphaFold reveals the structure of the protein universe</a></li><li><a href="https://www.deepmind.com/research/highlighted-research/alphafold/timeline-of-a-breakthrough">AlphaFold: Timeline of a breakthrough</a></li><li><a href="https://alphafold.ebi.ac.uk">AlphaFold Protein Structure Database</a></li><li><a href="https://github.com/deepmind/alphafold">GitHub: deepmind / alphafold</a></li><li><a href="https://www.blopig.com/blog/2021/07/alphafold-2-is-here-whats-behind-the-structure-prediction-miracle">Oxford Protein Informatics Group: AlphaFold 2 is here: what’s behind the structure prediction miracle</a></li><li><a href="https://www.nature.com/articles/d41586-022-02088-x">Nature: How AlphaFold can realize AI’s full potential in structural biology</a></li><li><a href="https://www.nature.com/articles/d41586-022-02083-2">Nature: ‘The entire protein universe’: AI predicts shape of nearly every known protein</a></li><li><a href="https://www.nature.com/articles/s41586-021-03819-2">Nature: Highly accurate protein structure prediction with AlphaFold</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>AI IRL &amp; Mozilla's Internet Health Report</title>
      <itunes:episode>187</itunes:episode>
      <podcast:episode>187</podcast:episode>
      <itunes:title>AI IRL &amp; Mozilla's Internet Health Report</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1792</guid>
      <link>https://share.transistor.fm/s/9ecd8c10</link>
      <description>
        <![CDATA[<p>Every year Mozilla releases an Internet Health Report that combines research and stories exploring what it means for the internet to be healthy. This year’s report is focused on AI. In this episode, Solana and Bridget from Mozilla join us to discuss the power dynamics of AI and the current state of AI worldwide. They highlight concerning trends in the application of this transformational technology along with positive signs of change.</p><p><br></p><p>Featuring:</p><ul><li>Solana Larsen – <a href="https://www.linkedin.com/in/solana-larsen-016129">LinkedIn</a>, <a href="https://x.com/solanasaurus">X</a></li><li>Bridget Todd – <a href="https://x.com/BridgetMarie">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://2022.internethealthreport.org/">The Internet Health Report 2022</a></li><li><a href="https://2022.internethealthreport.org/facts/">Facts of the AI Power Imbalance</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Every year Mozilla releases an Internet Health Report that combines research and stories exploring what it means for the internet to be healthy. This year’s report is focused on AI. In this episode, Solana and Bridget from Mozilla join us to discuss the power dynamics of AI and the current state of AI worldwide. They highlight concerning trends in the application of this transformational technology along with positive signs of change.</p><p><br></p><p>Featuring:</p><ul><li>Solana Larsen – <a href="https://www.linkedin.com/in/solana-larsen-016129">LinkedIn</a>, <a href="https://x.com/solanasaurus">X</a></li><li>Bridget Todd – <a href="https://x.com/BridgetMarie">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://2022.internethealthreport.org/">The Internet Health Report 2022</a></li><li><a href="https://2022.internethealthreport.org/facts/">Facts of the AI Power Imbalance</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 02 Aug 2022 16:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/9ecd8c10/c23200b3.mp3" length="41596133" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2564</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Every year Mozilla releases an Internet Health Report that combines research and stories exploring what it means for the internet to be healthy. This year’s report is focused on AI. In this episode, Solana and Bridget from Mozilla join us to discuss the power dynamics of AI and the current state of AI worldwide. They highlight concerning trends in the application of this transformational technology along with positive signs of change.</p><p><br></p><p>Featuring:</p><ul><li>Solana Larsen – <a href="https://www.linkedin.com/in/solana-larsen-016129">LinkedIn</a>, <a href="https://x.com/solanasaurus">X</a></li><li>Bridget Todd – <a href="https://x.com/BridgetMarie">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://2022.internethealthreport.org/">The Internet Health Report 2022</a></li><li><a href="https://2022.internethealthreport.org/facts/">Facts of the AI Power Imbalance</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/solanasaurus" img="https://img.transistorcdn.com/G0B3Ydgt0krbv0qYNugZW2P--5LhMJUH3pJtvjhSy6E/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wYTFi/MDQ3ZDlhNmI2ZTU0/NmIxMGJjNzhjM2Ew/Y2JmZS5qcGVn.jpg">Solana Larsen</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/bridgettodd" img="https://img.transistorcdn.com/6ihgMUD-jBUc7V-gWgaoVMTymOmKlMQCpTfn-2NCNuE/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wNzYw/MDlhZWIxNjdjOTVi/MDk4MWNhOTQ0ODNh/ZmE0Ni5qcGc.jpg">Bridget Todd</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>The geopolitics of artificial intelligence</title>
      <itunes:episode>186</itunes:episode>
      <podcast:episode>186</podcast:episode>
      <itunes:title>The geopolitics of artificial intelligence</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1753</guid>
      <link>https://share.transistor.fm/s/e61ba232</link>
      <description>
        <![CDATA[<p>In this Fully-Connected episode, Chris and Daniel explore the geopolitics, economics, and power-brokering of artificial intelligence. What does control of AI mean for nations, corporations, and universities? What does control or access to AI mean for conflict and autonomy? The world is changing rapidly, and the rate of change is accelerating. Daniel and Chris look behind the curtain in the halls of power.</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Source articles for our conversation</p><ul><li><a href="https://www.forbes.com/sites/cognitiveworld/2019/01/28/the-geopolitics-of-artificial-intelligence">The Geopolitics Of Artificial Intelligence</a></li><li><a href="https://www.brookings.edu/research/geopolitical-implications-of-ai-and-digital-surveillance-adoption">Geopolitical implications of AI and digital surveillance adoption</a></li><li><a href="https://techcrunch.com/2022/04/06/artificial-intelligence-is-already-upending-geopolitics">Artificial intelligence is already upending geopolitics</a></li><li><a href="https://www.economist.com/interactive/briefing/2022/06/11/huge-foundation-models-are-turbo-charging-ai-progress">Huge “foundation models” are turbo-charging AI progress</a></li></ul><p>Learning Resource</p><ul><li><a href="https://www.ai.gov">National Artificial Intelligence Initiative</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this Fully-Connected episode, Chris and Daniel explore the geopolitics, economics, and power-brokering of artificial intelligence. What does control of AI mean for nations, corporations, and universities? What does control or access to AI mean for conflict and autonomy? The world is changing rapidly, and the rate of change is accelerating. Daniel and Chris look behind the curtain in the halls of power.</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Source articles for our conversation</p><ul><li><a href="https://www.forbes.com/sites/cognitiveworld/2019/01/28/the-geopolitics-of-artificial-intelligence">The Geopolitics Of Artificial Intelligence</a></li><li><a href="https://www.brookings.edu/research/geopolitical-implications-of-ai-and-digital-surveillance-adoption">Geopolitical implications of AI and digital surveillance adoption</a></li><li><a href="https://techcrunch.com/2022/04/06/artificial-intelligence-is-already-upending-geopolitics">Artificial intelligence is already upending geopolitics</a></li><li><a href="https://www.economist.com/interactive/briefing/2022/06/11/huge-foundation-models-are-turbo-charging-ai-progress">Huge “foundation models” are turbo-charging AI progress</a></li></ul><p>Learning Resource</p><ul><li><a href="https://www.ai.gov">National Artificial Intelligence Initiative</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 26 Jul 2022 16:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/e61ba232/145cbebe.mp3" length="44957517" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2771</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this Fully-Connected episode, Chris and Daniel explore the geopolitics, economics, and power-brokering of artificial intelligence. What does control of AI mean for nations, corporations, and universities? What does control or access to AI mean for conflict and autonomy? The world is changing rapidly, and the rate of change is accelerating. Daniel and Chris look behind the curtain in the halls of power.</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Source articles for our conversation</p><ul><li><a href="https://www.forbes.com/sites/cognitiveworld/2019/01/28/the-geopolitics-of-artificial-intelligence">The Geopolitics Of Artificial Intelligence</a></li><li><a href="https://www.brookings.edu/research/geopolitical-implications-of-ai-and-digital-surveillance-adoption">Geopolitical implications of AI and digital surveillance adoption</a></li><li><a href="https://techcrunch.com/2022/04/06/artificial-intelligence-is-already-upending-geopolitics">Artificial intelligence is already upending geopolitics</a></li><li><a href="https://www.economist.com/interactive/briefing/2022/06/11/huge-foundation-models-are-turbo-charging-ai-progress">Huge “foundation models” are turbo-charging AI progress</a></li></ul><p>Learning Resource</p><ul><li><a href="https://www.ai.gov">National Artificial Intelligence Initiative</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>DALL-E is one giant leap for raccoons! 🔭</title>
      <itunes:episode>185</itunes:episode>
      <podcast:episode>185</podcast:episode>
      <itunes:title>DALL-E is one giant leap for raccoons! 🔭</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1716</guid>
      <link>https://share.transistor.fm/s/e56ce463</link>
      <description>
        <![CDATA[<p>In this Fully-Connected episode, Daniel and Chris explore DALL-E 2, the amazing new model from Open AI that generates incredibly detailed novel images from text captions for a wide range of concepts expressible in natural language. Along the way, they acknowledge that some folks in the larger AI community are suggesting that sophisticated models may be approaching sentience, but together they pour cold water on that notion. But they can’t seem to get away from DALL-E’s images of raccoons in space, and of course, who would want to?</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://openai.com/blog/dall-e">DALL·E: Creating Images from Text</a></li><li><a href="https://www.assemblyai.com/blog/how-dall-e-2-actually-works">How DALL-E 2 Actually Works</a></li><li><a href="https://www.google.com/search?q=dall-e+raccoon+space&amp;newwindow=1&amp;sxsrf=ALiCzsZsftqB2vC2oSZnFT4pgBPMWnhifQ:1657915983239&amp;source=lnms&amp;tbm=isch&amp;sa=X&amp;ved=2ahUKEwiV-f2p2vv4AhXjtYQIHUgwAzMQ_AUoAXoECAEQAw&amp;biw=1722&amp;bih=979&amp;dpr=2">Google - Raccoons in Space!</a></li><li><a href="https://dl.acm.org/doi/10.1145/3442188.3445922">On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this Fully-Connected episode, Daniel and Chris explore DALL-E 2, the amazing new model from Open AI that generates incredibly detailed novel images from text captions for a wide range of concepts expressible in natural language. Along the way, they acknowledge that some folks in the larger AI community are suggesting that sophisticated models may be approaching sentience, but together they pour cold water on that notion. But they can’t seem to get away from DALL-E’s images of raccoons in space, and of course, who would want to?</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://openai.com/blog/dall-e">DALL·E: Creating Images from Text</a></li><li><a href="https://www.assemblyai.com/blog/how-dall-e-2-actually-works">How DALL-E 2 Actually Works</a></li><li><a href="https://www.google.com/search?q=dall-e+raccoon+space&amp;newwindow=1&amp;sxsrf=ALiCzsZsftqB2vC2oSZnFT4pgBPMWnhifQ:1657915983239&amp;source=lnms&amp;tbm=isch&amp;sa=X&amp;ved=2ahUKEwiV-f2p2vv4AhXjtYQIHUgwAzMQ_AUoAXoECAEQAw&amp;biw=1722&amp;bih=979&amp;dpr=2">Google - Raccoons in Space!</a></li><li><a href="https://dl.acm.org/doi/10.1145/3442188.3445922">On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 19 Jul 2022 16:10:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/e56ce463/ddf58443.mp3" length="39829707" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2450</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this Fully-Connected episode, Daniel and Chris explore DALL-E 2, the amazing new model from Open AI that generates incredibly detailed novel images from text captions for a wide range of concepts expressible in natural language. Along the way, they acknowledge that some folks in the larger AI community are suggesting that sophisticated models may be approaching sentience, but together they pour cold water on that notion. But they can’t seem to get away from DALL-E’s images of raccoons in space, and of course, who would want to?</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://openai.com/blog/dall-e">DALL·E: Creating Images from Text</a></li><li><a href="https://www.assemblyai.com/blog/how-dall-e-2-actually-works">How DALL-E 2 Actually Works</a></li><li><a href="https://www.google.com/search?q=dall-e+raccoon+space&amp;newwindow=1&amp;sxsrf=ALiCzsZsftqB2vC2oSZnFT4pgBPMWnhifQ:1657915983239&amp;source=lnms&amp;tbm=isch&amp;sa=X&amp;ved=2ahUKEwiV-f2p2vv4AhXjtYQIHUgwAzMQ_AUoAXoECAEQAw&amp;biw=1722&amp;bih=979&amp;dpr=2">Google - Raccoons in Space!</a></li><li><a href="https://dl.acm.org/doi/10.1145/3442188.3445922">On the Dangers of Stochastic Parrots: Can Language Models Be Too Big? 🦜</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Cloning voices with Coqui</title>
      <itunes:episode>184</itunes:episode>
      <podcast:episode>184</podcast:episode>
      <itunes:title>Cloning voices with Coqui</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1712</guid>
      <link>https://share.transistor.fm/s/39ef8e3f</link>
      <description>
        <![CDATA[<p>Coqui is a speech technology startup that making huge waves in terms of their contributions to open source speech technology, open access models and data, and compelling voice cloning functionality. Josh Meyer from Coqui joins us in this episode to discuss cloning voices that have emotion, fostering open source, and how creators are using AI tech.</p><p><br></p><p>Featuring:</p><ul><li>Josh Meyer – <a href="https://github.com/jrmeyer">GitHub</a>, <a href="https://x.com/_josh_meyer_">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://coqui.ai/">Coqui</a></li><li><a href="https://coqui.ai/blog/tts/african-languages-dataset-collaboration">BibleTTS - Data and models for African langauges</a></li><li><a href="https://huggingface.co/spaces/coqui/CoquiTTS">Coqui TTS Hugging Face Space</a></li><li><a href="https://github.com/coqui-ai">Coqui on Github</a></li><li><a href="https://changelog.com/practicalai/104">Joshua’s previous Practical AI episode about Common Voice</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Coqui is a speech technology startup that making huge waves in terms of their contributions to open source speech technology, open access models and data, and compelling voice cloning functionality. Josh Meyer from Coqui joins us in this episode to discuss cloning voices that have emotion, fostering open source, and how creators are using AI tech.</p><p><br></p><p>Featuring:</p><ul><li>Josh Meyer – <a href="https://github.com/jrmeyer">GitHub</a>, <a href="https://x.com/_josh_meyer_">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://coqui.ai/">Coqui</a></li><li><a href="https://coqui.ai/blog/tts/african-languages-dataset-collaboration">BibleTTS - Data and models for African langauges</a></li><li><a href="https://huggingface.co/spaces/coqui/CoquiTTS">Coqui TTS Hugging Face Space</a></li><li><a href="https://github.com/coqui-ai">Coqui on Github</a></li><li><a href="https://changelog.com/practicalai/104">Joshua’s previous Practical AI episode about Common Voice</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 12 Jul 2022 11:10:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/39ef8e3f/ad3b0557.mp3" length="50327469" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3105</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Coqui is a speech technology startup that making huge waves in terms of their contributions to open source speech technology, open access models and data, and compelling voice cloning functionality. Josh Meyer from Coqui joins us in this episode to discuss cloning voices that have emotion, fostering open source, and how creators are using AI tech.</p><p><br></p><p>Featuring:</p><ul><li>Josh Meyer – <a href="https://github.com/jrmeyer">GitHub</a>, <a href="https://x.com/_josh_meyer_">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://coqui.ai/">Coqui</a></li><li><a href="https://coqui.ai/blog/tts/african-languages-dataset-collaboration">BibleTTS - Data and models for African langauges</a></li><li><a href="https://huggingface.co/spaces/coqui/CoquiTTS">Coqui TTS Hugging Face Space</a></li><li><a href="https://github.com/coqui-ai">Coqui on Github</a></li><li><a href="https://changelog.com/practicalai/104">Joshua’s previous Practical AI episode about Common Voice</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/jrmeyer" img="https://img.transistorcdn.com/awXxyT56jtBP9UenPDINEKV9jFu0U3Z8lr0SeHnvYyA/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wOTA4/YjNhMTNiZjVlYjIz/ZjA0NjA2OTgxYWQ4/YjYwNC5qcGc.jpg">Josh Meyer</podcast:person>
    </item>
    <item>
      <title>AI's role in reprogramming immunity</title>
      <itunes:episode>183</itunes:episode>
      <podcast:episode>183</podcast:episode>
      <itunes:title>AI's role in reprogramming immunity</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1694</guid>
      <link>https://share.transistor.fm/s/14a3c811</link>
      <description>
        <![CDATA[<p>Drausin Wulsin, Director of ML at <a href="https://www.immunai.com">Immunai</a>, joins Daniel &amp; Chris to talk about the role of AI in immunotherapy, and why it is proving to be the foremost approach in fighting cancer, autoimmune disease, and infectious diseases.</p><p>The large amount of high dimensional biological data that is available today, combined with advanced machine learning techniques, creates unique opportunities to push the boundaries of what is possible in biology.</p><p>To that end, Immunai has built the largest immune database called AMICA that contains tens of millions of cells. The company uses cutting-edge transfer learning techniques to transfer knowledge across different cell types, studies, and even species.</p><p><br></p><p>Featuring:</p><ul><li>Drausin Wulsin – <a href="https://www.linkedin.com/in/drausin-wulsin-3a3a8239">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.immunai.com">Immunai</a></li><li><a href="https://drive.google.com/file/d/1qVzRs0yf_Mfbh5p85sYGO8pwNxFjGQ7T/view">Immunai Fact Sheet</a></li><li><a href="https://www.linkedin.com/in/drausin-wulsin-3a3a8239">Drausin Wulsin | LinkedIn</a></li><li><a href="https://scholar.google.com/citations?user=_PXVUn4AAAAJ">Drausin Wulsin | Google Scholar</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Drausin Wulsin, Director of ML at <a href="https://www.immunai.com">Immunai</a>, joins Daniel &amp; Chris to talk about the role of AI in immunotherapy, and why it is proving to be the foremost approach in fighting cancer, autoimmune disease, and infectious diseases.</p><p>The large amount of high dimensional biological data that is available today, combined with advanced machine learning techniques, creates unique opportunities to push the boundaries of what is possible in biology.</p><p>To that end, Immunai has built the largest immune database called AMICA that contains tens of millions of cells. The company uses cutting-edge transfer learning techniques to transfer knowledge across different cell types, studies, and even species.</p><p><br></p><p>Featuring:</p><ul><li>Drausin Wulsin – <a href="https://www.linkedin.com/in/drausin-wulsin-3a3a8239">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.immunai.com">Immunai</a></li><li><a href="https://drive.google.com/file/d/1qVzRs0yf_Mfbh5p85sYGO8pwNxFjGQ7T/view">Immunai Fact Sheet</a></li><li><a href="https://www.linkedin.com/in/drausin-wulsin-3a3a8239">Drausin Wulsin | LinkedIn</a></li><li><a href="https://scholar.google.com/citations?user=_PXVUn4AAAAJ">Drausin Wulsin | Google Scholar</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 28 Jun 2022 15:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/14a3c811/7d41f8a0.mp3" length="47410094" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2928</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Drausin Wulsin, Director of ML at <a href="https://www.immunai.com">Immunai</a>, joins Daniel &amp; Chris to talk about the role of AI in immunotherapy, and why it is proving to be the foremost approach in fighting cancer, autoimmune disease, and infectious diseases.</p><p>The large amount of high dimensional biological data that is available today, combined with advanced machine learning techniques, creates unique opportunities to push the boundaries of what is possible in biology.</p><p>To that end, Immunai has built the largest immune database called AMICA that contains tens of millions of cells. The company uses cutting-edge transfer learning techniques to transfer knowledge across different cell types, studies, and even species.</p><p><br></p><p>Featuring:</p><ul><li>Drausin Wulsin – <a href="https://www.linkedin.com/in/drausin-wulsin-3a3a8239">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.immunai.com">Immunai</a></li><li><a href="https://drive.google.com/file/d/1qVzRs0yf_Mfbh5p85sYGO8pwNxFjGQ7T/view">Immunai Fact Sheet</a></li><li><a href="https://www.linkedin.com/in/drausin-wulsin-3a3a8239">Drausin Wulsin | LinkedIn</a></li><li><a href="https://scholar.google.com/citations?user=_PXVUn4AAAAJ">Drausin Wulsin | Google Scholar</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/drausin" img="https://img.transistorcdn.com/6uQyDER6YZnA9W9EyY0oGJZjekMqnn-vFW3khwvjZ5g/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82MTJl/NWU2ODVmNTQwOGRh/ZTNhMTQxMjllNzI4/Yjg5Ny5qcGVn.jpg">Drausin Wulsin</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Machine learning in your database</title>
      <itunes:episode>182</itunes:episode>
      <podcast:episode>182</podcast:episode>
      <itunes:title>Machine learning in your database</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1684</guid>
      <link>https://share.transistor.fm/s/ca7e5e7e</link>
      <description>
        <![CDATA[<p>While scaling up machine learning at Instacart, Montana Low and Lev Kokotov discovered just how much you can do with the Postgres database. They are building on that work with PostgresML, an extension to the database that lets you train and deploy models to make online predictions using only SQL. This is super practical discussion that you don’t want to miss!</p><p><br></p><p>Featuring:</p><ul><li>Montana Low – <a href="https://github.com/montanalow">GitHub</a>, <a href="https://www.linkedin.com/in/montanalow">LinkedIn</a>, <a href="https://x.com/montanalow">X</a></li><li>Lev Kokotov – <a href="https://github.com/levkk">GitHub</a>, <a href="https://www.linkedin.com/in/levkk">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://postgresml.org/">PostgresML website</a></li><li><a href="https://github.com/postgresml/postgresml">PostgresML on GitHub</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>While scaling up machine learning at Instacart, Montana Low and Lev Kokotov discovered just how much you can do with the Postgres database. They are building on that work with PostgresML, an extension to the database that lets you train and deploy models to make online predictions using only SQL. This is super practical discussion that you don’t want to miss!</p><p><br></p><p>Featuring:</p><ul><li>Montana Low – <a href="https://github.com/montanalow">GitHub</a>, <a href="https://www.linkedin.com/in/montanalow">LinkedIn</a>, <a href="https://x.com/montanalow">X</a></li><li>Lev Kokotov – <a href="https://github.com/levkk">GitHub</a>, <a href="https://www.linkedin.com/in/levkk">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://postgresml.org/">PostgresML website</a></li><li><a href="https://github.com/postgresml/postgresml">PostgresML on GitHub</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 22 Jun 2022 10:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/ca7e5e7e/1d854e4d.mp3" length="47765904" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2945</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>While scaling up machine learning at Instacart, Montana Low and Lev Kokotov discovered just how much you can do with the Postgres database. They are building on that work with PostgresML, an extension to the database that lets you train and deploy models to make online predictions using only SQL. This is super practical discussion that you don’t want to miss!</p><p><br></p><p>Featuring:</p><ul><li>Montana Low – <a href="https://github.com/montanalow">GitHub</a>, <a href="https://www.linkedin.com/in/montanalow">LinkedIn</a>, <a href="https://x.com/montanalow">X</a></li><li>Lev Kokotov – <a href="https://github.com/levkk">GitHub</a>, <a href="https://www.linkedin.com/in/levkk">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://postgresml.org/">PostgresML website</a></li><li><a href="https://github.com/postgresml/postgresml">PostgresML on GitHub</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/montanalow" img="https://img.transistorcdn.com/SRVmeVZqZA23nyXOxcErsg2Es4EouTQPWAa70Xl6UkM/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82ZDQ5/MzY2YTQ3ZGRmNTJk/NzM5MWYwODU2M2My/M2Q0Zi5qcGVn.jpg">Montana Low</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/levkk" img="https://img.transistorcdn.com/zoau-6YKL_n1gegvUBaAkXHPIQdSD54Vk_wl-6zxZUw/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xZWQy/ODgxNDk0OWZkZjVm/ZjgzNjViMzJhZWJh/ODI3Ni5qcGVn.jpg">Lev Kokotov</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Digital humans &amp; detecting emotions</title>
      <itunes:episode>181</itunes:episode>
      <podcast:episode>181</podcast:episode>
      <itunes:title>Digital humans &amp; detecting emotions</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1673</guid>
      <link>https://share.transistor.fm/s/c4c7ce53</link>
      <description>
        <![CDATA[<p>Could we create a digital human that processes data in a variety of modalities and detects emotions? Well, that’s exactly what NTT DATA Services is trying to do, and, in this episode, Theresa Kushner joins us to talk about their motivations, use cases, current systems, progress, and related ethical issues.</p><p><br></p><p>Featuring:</p><ul><li>Theresa Kushner – <a href="https://www.linkedin.com/in/theresakushner">LinkedIn</a>, <a href="https://x.com/tkushner">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Digital Humans videos:</p><ul><li><a href="https://www.youtube.com/watch?v=giaxsGgPgZ8">Kia Showroom</a></li><li><a href="https://www.youtube.com/watch?v=9GMIDwGHrKU">Learning Assistant</a></li><li><a href="https://youtu.be/-YuxZ91ppU0">Telco Retail</a></li><li><a href="https://youtu.be/axt8y-fLkxA">Kia, in car</a></li><li><a href="https://youtu.be/jqF5gOluIFA">Japan Concierge</a></li></ul><p>Virtual Learning Buddy teaching kids to read:</p><ul><li><a href="https://nttdata-solutions.com/uk/global-blog/a-virtual-ai-buddy-helps-kids-learn-to-read/">Related blog post</a></li><li><a href="https://www.nttdata.com/global/en/foresight/academic-collaborations/mit-media-lab-rosalind-picard">More information about NTT DATA’s work with MIT Media Lab</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Could we create a digital human that processes data in a variety of modalities and detects emotions? Well, that’s exactly what NTT DATA Services is trying to do, and, in this episode, Theresa Kushner joins us to talk about their motivations, use cases, current systems, progress, and related ethical issues.</p><p><br></p><p>Featuring:</p><ul><li>Theresa Kushner – <a href="https://www.linkedin.com/in/theresakushner">LinkedIn</a>, <a href="https://x.com/tkushner">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Digital Humans videos:</p><ul><li><a href="https://www.youtube.com/watch?v=giaxsGgPgZ8">Kia Showroom</a></li><li><a href="https://www.youtube.com/watch?v=9GMIDwGHrKU">Learning Assistant</a></li><li><a href="https://youtu.be/-YuxZ91ppU0">Telco Retail</a></li><li><a href="https://youtu.be/axt8y-fLkxA">Kia, in car</a></li><li><a href="https://youtu.be/jqF5gOluIFA">Japan Concierge</a></li></ul><p>Virtual Learning Buddy teaching kids to read:</p><ul><li><a href="https://nttdata-solutions.com/uk/global-blog/a-virtual-ai-buddy-helps-kids-learn-to-read/">Related blog post</a></li><li><a href="https://www.nttdata.com/global/en/foresight/academic-collaborations/mit-media-lab-rosalind-picard">More information about NTT DATA’s work with MIT Media Lab</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 14 Jun 2022 14:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/c4c7ce53/718cb249.mp3" length="41058222" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2530</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Could we create a digital human that processes data in a variety of modalities and detects emotions? Well, that’s exactly what NTT DATA Services is trying to do, and, in this episode, Theresa Kushner joins us to talk about their motivations, use cases, current systems, progress, and related ethical issues.</p><p><br></p><p>Featuring:</p><ul><li>Theresa Kushner – <a href="https://www.linkedin.com/in/theresakushner">LinkedIn</a>, <a href="https://x.com/tkushner">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Digital Humans videos:</p><ul><li><a href="https://www.youtube.com/watch?v=giaxsGgPgZ8">Kia Showroom</a></li><li><a href="https://www.youtube.com/watch?v=9GMIDwGHrKU">Learning Assistant</a></li><li><a href="https://youtu.be/-YuxZ91ppU0">Telco Retail</a></li><li><a href="https://youtu.be/axt8y-fLkxA">Kia, in car</a></li><li><a href="https://youtu.be/jqF5gOluIFA">Japan Concierge</a></li></ul><p>Virtual Learning Buddy teaching kids to read:</p><ul><li><a href="https://nttdata-solutions.com/uk/global-blog/a-virtual-ai-buddy-helps-kids-learn-to-read/">Related blog post</a></li><li><a href="https://www.nttdata.com/global/en/foresight/academic-collaborations/mit-media-lab-rosalind-picard">More information about NTT DATA’s work with MIT Media Lab</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/theresakushner" img="https://img.transistorcdn.com/1BF90Hg6ywMQ3BRhGLnaPlmCiXxwo1QyeVCCOy5KkmM/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wYWM5/YTI4ZjUxNzAxYjU3/YzJlYTg0YzVkNGQ1/MzIzNy5qcGc.jpg">Theresa Kushner</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Generalist models &amp; Iceman's voice</title>
      <itunes:episode>180</itunes:episode>
      <podcast:episode>180</podcast:episode>
      <itunes:title>Generalist models &amp; Iceman's voice</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1670</guid>
      <link>https://share.transistor.fm/s/f311cad1</link>
      <description>
        <![CDATA[<p>In this “fully connected” episode of the podcast, we catch up on some recent developments in the AI world, including a new model from DeepMind called Gato. This generalist model can play video games, caption images, respond to chat messages, control robot arms, and much more. We also discuss the use of AI in the entertainment industry (e.g., in new Top Gun movie).</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>DeepMind’s Gato:</p><ul><li><a href="https://www.deepmind.com/publications/a-generalist-agent">DeepMind article</a></li><li><a href="https://thenextweb.com/news/deepminds-astounding-new-gato-ai-makes-fear-humans-will-never-achieve-agi">TNW article</a></li></ul><p>Iceman’s voice in Top Gun:</p><ul><li><a href="https://variety.com/2022/film/news/val-kilmer-top-gun-maverick-voice-artificial-intelligence-1235281512/">Variety article</a></li><li><a href="https://www.sonantic.io/">Sonantic - the company behind the synthetic voice</a></li></ul><p><a href="https://io.google/2022/program/08c90d15-7627-4b7d-ac63-7a2c83fcb88d/">Responsible AI review processes: From a developer’s point of view</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this “fully connected” episode of the podcast, we catch up on some recent developments in the AI world, including a new model from DeepMind called Gato. This generalist model can play video games, caption images, respond to chat messages, control robot arms, and much more. We also discuss the use of AI in the entertainment industry (e.g., in new Top Gun movie).</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>DeepMind’s Gato:</p><ul><li><a href="https://www.deepmind.com/publications/a-generalist-agent">DeepMind article</a></li><li><a href="https://thenextweb.com/news/deepminds-astounding-new-gato-ai-makes-fear-humans-will-never-achieve-agi">TNW article</a></li></ul><p>Iceman’s voice in Top Gun:</p><ul><li><a href="https://variety.com/2022/film/news/val-kilmer-top-gun-maverick-voice-artificial-intelligence-1235281512/">Variety article</a></li><li><a href="https://www.sonantic.io/">Sonantic - the company behind the synthetic voice</a></li></ul><p><a href="https://io.google/2022/program/08c90d15-7627-4b7d-ac63-7a2c83fcb88d/">Responsible AI review processes: From a developer’s point of view</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 07 Jun 2022 11:15:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/f311cad1/40afd2f9.mp3" length="40000559" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2434</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this “fully connected” episode of the podcast, we catch up on some recent developments in the AI world, including a new model from DeepMind called Gato. This generalist model can play video games, caption images, respond to chat messages, control robot arms, and much more. We also discuss the use of AI in the entertainment industry (e.g., in new Top Gun movie).</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>DeepMind’s Gato:</p><ul><li><a href="https://www.deepmind.com/publications/a-generalist-agent">DeepMind article</a></li><li><a href="https://thenextweb.com/news/deepminds-astounding-new-gato-ai-makes-fear-humans-will-never-achieve-agi">TNW article</a></li></ul><p>Iceman’s voice in Top Gun:</p><ul><li><a href="https://variety.com/2022/film/news/val-kilmer-top-gun-maverick-voice-artificial-intelligence-1235281512/">Variety article</a></li><li><a href="https://www.sonantic.io/">Sonantic - the company behind the synthetic voice</a></li></ul><p><a href="https://io.google/2022/program/08c90d15-7627-4b7d-ac63-7a2c83fcb88d/">Responsible AI review processes: From a developer’s point of view</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>🤗 The AI community building the future</title>
      <itunes:episode>179</itunes:episode>
      <podcast:episode>179</podcast:episode>
      <itunes:title>🤗 The AI community building the future</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1664</guid>
      <link>https://share.transistor.fm/s/306f6fbd</link>
      <description>
        <![CDATA[<p>Hugging Face is increasingly becomes the “hub” of AI innovation. In this episode, Merve Noyan joins us to dive into this hub in more detail. We discuss automation around model cards, reproducibility, and the new community features. If you are wanting to engage with the wider AI community, this is the show for you!</p><p><br></p><p>Featuring:</p><ul><li>Merve Noyan – <a href="https://github.com/merveenoyan">GitHub</a>, <a href="https://x.com/mervenoyann">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://huggingface.co/">The Hugging Face hub</a></li><li><a href="https://huggingface.co/blog/community-update">New Hugging Face community features</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Hugging Face is increasingly becomes the “hub” of AI innovation. In this episode, Merve Noyan joins us to dive into this hub in more detail. We discuss automation around model cards, reproducibility, and the new community features. If you are wanting to engage with the wider AI community, this is the show for you!</p><p><br></p><p>Featuring:</p><ul><li>Merve Noyan – <a href="https://github.com/merveenoyan">GitHub</a>, <a href="https://x.com/mervenoyann">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://huggingface.co/">The Hugging Face hub</a></li><li><a href="https://huggingface.co/blog/community-update">New Hugging Face community features</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 31 May 2022 14:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/306f6fbd/6d29e7f6.mp3" length="45593462" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2832</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Hugging Face is increasingly becomes the “hub” of AI innovation. In this episode, Merve Noyan joins us to dive into this hub in more detail. We discuss automation around model cards, reproducibility, and the new community features. If you are wanting to engage with the wider AI community, this is the show for you!</p><p><br></p><p>Featuring:</p><ul><li>Merve Noyan – <a href="https://github.com/merveenoyan">GitHub</a>, <a href="https://x.com/mervenoyann">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://huggingface.co/">The Hugging Face hub</a></li><li><a href="https://huggingface.co/blog/community-update">New Hugging Face community features</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/merveenoyan" img="https://img.transistorcdn.com/mDjzJUBEUuReNM9ZJbeGrkCCT8lZgQxXPdJZRYani40/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hYWE3/ZDZkNDg3N2Y0MmYw/ZWU2ZGI2ZmNmNThj/MGEyNC5wbmc.jpg">Merve Noyan</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Active learning &amp; endangered languages</title>
      <itunes:episode>178</itunes:episode>
      <podcast:episode>178</podcast:episode>
      <itunes:title>Active learning &amp; endangered languages</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1658</guid>
      <link>https://share.transistor.fm/s/1d61dc97</link>
      <description>
        <![CDATA[<p>Don’t all AI methods need a bunch of data to work? How could AI help document and revitalize endangered languages with “human-in-the-loop” or “active learning” methods? Sarah Moeller from the University of Florida joins us to discuss those and other related questions. She also shares many of her personal experiences working with languages in low resource settings.</p><p><br></p><p>Featuring:</p><ul><li>Sarah Moeller – <a href="https://sarahrmoeller.github.io/">Website</a>, <a href="https://github.com/sarahrmoeller">GitHub</a>, <a href="https://www.linkedin.com/in/sarahrmoeller">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://sarahrmoeller.github.io/">Sarah’s academic website</a></li><li><a href="https://www.colorado.edu/linguistics/why-computational-linguistics">An article about Sarah’s journey into this work</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Don’t all AI methods need a bunch of data to work? How could AI help document and revitalize endangered languages with “human-in-the-loop” or “active learning” methods? Sarah Moeller from the University of Florida joins us to discuss those and other related questions. She also shares many of her personal experiences working with languages in low resource settings.</p><p><br></p><p>Featuring:</p><ul><li>Sarah Moeller – <a href="https://sarahrmoeller.github.io/">Website</a>, <a href="https://github.com/sarahrmoeller">GitHub</a>, <a href="https://www.linkedin.com/in/sarahrmoeller">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://sarahrmoeller.github.io/">Sarah’s academic website</a></li><li><a href="https://www.colorado.edu/linguistics/why-computational-linguistics">An article about Sarah’s journey into this work</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 17 May 2022 12:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/1d61dc97/8594df87.mp3" length="47826640" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2950</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Don’t all AI methods need a bunch of data to work? How could AI help document and revitalize endangered languages with “human-in-the-loop” or “active learning” methods? Sarah Moeller from the University of Florida joins us to discuss those and other related questions. She also shares many of her personal experiences working with languages in low resource settings.</p><p><br></p><p>Featuring:</p><ul><li>Sarah Moeller – <a href="https://sarahrmoeller.github.io/">Website</a>, <a href="https://github.com/sarahrmoeller">GitHub</a>, <a href="https://www.linkedin.com/in/sarahrmoeller">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://sarahrmoeller.github.io/">Sarah’s academic website</a></li><li><a href="https://www.colorado.edu/linguistics/why-computational-linguistics">An article about Sarah’s journey into this work</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/sarahrmoeller" img="https://img.transistorcdn.com/KYqGZoZfj1a7g1M5a_E_GIPZCeQMdvdpwkyaW0L6-6s/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wNjY0/MWRhNGI4Mjg0M2Nl/ODBlZGJjZjczZGVh/YTIyOS5qcGc.jpg">Sarah Moeller</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Learning the language of life</title>
      <itunes:episode>177</itunes:episode>
      <podcast:episode>177</podcast:episode>
      <itunes:title>Learning the language of life</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1642</guid>
      <link>https://share.transistor.fm/s/b9ef03c1</link>
      <description>
        <![CDATA[<p>AI is discovering new drugs. Sound like science fiction? Not at Absci! Sean and Joshua join us to discuss their AI-driven pipeline for drug discovery. We discuss the tech along with how it might change how we think about healthcare at the most fundamental level.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Sean McClain – <a href="https://www.linkedin.com/in/sean-mcclain">LinkedIn</a>, <a href="https://x.com/SeanRMcClain">X</a></li><li>Joshua Meier – <a href="https://github.com/joshim5">GitHub</a>, <a href="https://www.linkedin.com/in/joshua-meier-27a6861a">LinkedIn</a>, <a href="https://x.com/joshim5">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>View Absci’s AI Lead Scientist Joshua Meier’s <a href="https://www.absci.com/NVIDIA-GTC?utm_source=PracticalAI">presentation at NVIDIA GTC 2022</a></li><li><a href="https://www.absci.com/GEN22?utm_source=PracticalAI">Learn more</a> about Absci’s machine learning breakthroughs presented at GTC</li><li><a href="https://investors.absci.com/news-releases/news-release-details/absci-expands-drug-discovery-capabilities-opening-absci-aI?utm_source=PracticalAI">Learn more</a> about Absci AI Research (AAIR) Lab</li><li><a href="https://www.absci.com/careers/?utm_source=PracticalAI">View career opportunities</a> at Absci</li><li>Absci AI drug discovery <a href="https://www.absci.com/zdnet22?utm_source=PracticalAI">technology</a></li><li>Watch the <a href="https://www.youtube.com/watch?v=VwN1ftgahWY">Truist AI Symposium Podcast</a> to get help demystifying the use of AI in drug discovery</li><li>Absci <a href="https://www.absci.com/?utm_source=PracticalAI">website</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>AI is discovering new drugs. Sound like science fiction? Not at Absci! Sean and Joshua join us to discuss their AI-driven pipeline for drug discovery. We discuss the tech along with how it might change how we think about healthcare at the most fundamental level.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Sean McClain – <a href="https://www.linkedin.com/in/sean-mcclain">LinkedIn</a>, <a href="https://x.com/SeanRMcClain">X</a></li><li>Joshua Meier – <a href="https://github.com/joshim5">GitHub</a>, <a href="https://www.linkedin.com/in/joshua-meier-27a6861a">LinkedIn</a>, <a href="https://x.com/joshim5">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>View Absci’s AI Lead Scientist Joshua Meier’s <a href="https://www.absci.com/NVIDIA-GTC?utm_source=PracticalAI">presentation at NVIDIA GTC 2022</a></li><li><a href="https://www.absci.com/GEN22?utm_source=PracticalAI">Learn more</a> about Absci’s machine learning breakthroughs presented at GTC</li><li><a href="https://investors.absci.com/news-releases/news-release-details/absci-expands-drug-discovery-capabilities-opening-absci-aI?utm_source=PracticalAI">Learn more</a> about Absci AI Research (AAIR) Lab</li><li><a href="https://www.absci.com/careers/?utm_source=PracticalAI">View career opportunities</a> at Absci</li><li>Absci AI drug discovery <a href="https://www.absci.com/zdnet22?utm_source=PracticalAI">technology</a></li><li>Watch the <a href="https://www.youtube.com/watch?v=VwN1ftgahWY">Truist AI Symposium Podcast</a> to get help demystifying the use of AI in drug discovery</li><li>Absci <a href="https://www.absci.com/?utm_source=PracticalAI">website</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 03 May 2022 13:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/b9ef03c1/61debe83.mp3" length="46789280" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2878</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>AI is discovering new drugs. Sound like science fiction? Not at Absci! Sean and Joshua join us to discuss their AI-driven pipeline for drug discovery. We discuss the tech along with how it might change how we think about healthcare at the most fundamental level.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Sean McClain – <a href="https://www.linkedin.com/in/sean-mcclain">LinkedIn</a>, <a href="https://x.com/SeanRMcClain">X</a></li><li>Joshua Meier – <a href="https://github.com/joshim5">GitHub</a>, <a href="https://www.linkedin.com/in/joshua-meier-27a6861a">LinkedIn</a>, <a href="https://x.com/joshim5">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>View Absci’s AI Lead Scientist Joshua Meier’s <a href="https://www.absci.com/NVIDIA-GTC?utm_source=PracticalAI">presentation at NVIDIA GTC 2022</a></li><li><a href="https://www.absci.com/GEN22?utm_source=PracticalAI">Learn more</a> about Absci’s machine learning breakthroughs presented at GTC</li><li><a href="https://investors.absci.com/news-releases/news-release-details/absci-expands-drug-discovery-capabilities-opening-absci-aI?utm_source=PracticalAI">Learn more</a> about Absci AI Research (AAIR) Lab</li><li><a href="https://www.absci.com/careers/?utm_source=PracticalAI">View career opportunities</a> at Absci</li><li>Absci AI drug discovery <a href="https://www.absci.com/zdnet22?utm_source=PracticalAI">technology</a></li><li>Watch the <a href="https://www.youtube.com/watch?v=VwN1ftgahWY">Truist AI Symposium Podcast</a> to get help demystifying the use of AI in drug discovery</li><li>Absci <a href="https://www.absci.com/?utm_source=PracticalAI">website</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/seanmcclain" img="https://img.transistorcdn.com/yn-JcfYSu5OE4QkBBzpeUGFHNlgqa_PlWJr8kK56wso/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kNjkw/YTkzNDgzNGIyNTVj/MjAyMDVmZDQ0YmI2/NjQ5NS5qcGc.jpg">Sean McClain</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/joshim5" img="https://img.transistorcdn.com/o_XYLeJjcgmCZLEjxnB6Z7xNa1X-gb5nJvuUfDWXyOU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83YjA4/M2ZiNjZlMmE0ZDNm/M2JlN2E0MjM1OWYy/ODU0Ni5qcGc.jpg">Joshua Meier</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>MLOps is NOT Real</title>
      <itunes:episode>176</itunes:episode>
      <podcast:episode>176</podcast:episode>
      <itunes:title>MLOps is NOT Real</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1640</guid>
      <link>https://share.transistor.fm/s/444b43ae</link>
      <description>
        <![CDATA[<p>We all hear a lot about MLOps these days, but where does MLOps end and DevOps begin? Our friend Luis from OctoML joins us in this episode to discuss treating AI/ML models as regular software components (once they are trained and ready for deployment). We get into topics including optimization on various kinds of hardware and deployment of models at the edge.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://changelog.com/shipit">Ship It!</a> – A podcast about getting your best ideas into the world and seeing what happens. Listen to an episode that interests you and <a href="https://changelog.com/shipit">subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Luis Ceze – <a href="https://www.linkedin.com/in/luis-ceze-50b2314">LinkedIn</a>, <a href="https://x.com/luisceze">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://octoml.ai/">OctoML</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We all hear a lot about MLOps these days, but where does MLOps end and DevOps begin? Our friend Luis from OctoML joins us in this episode to discuss treating AI/ML models as regular software components (once they are trained and ready for deployment). We get into topics including optimization on various kinds of hardware and deployment of models at the edge.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://changelog.com/shipit">Ship It!</a> – A podcast about getting your best ideas into the world and seeing what happens. Listen to an episode that interests you and <a href="https://changelog.com/shipit">subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Luis Ceze – <a href="https://www.linkedin.com/in/luis-ceze-50b2314">LinkedIn</a>, <a href="https://x.com/luisceze">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://octoml.ai/">OctoML</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 26 Apr 2022 10:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/444b43ae/660aaafb.mp3" length="44742893" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2757</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We all hear a lot about MLOps these days, but where does MLOps end and DevOps begin? Our friend Luis from OctoML joins us in this episode to discuss treating AI/ML models as regular software components (once they are trained and ready for deployment). We get into topics including optimization on various kinds of hardware and deployment of models at the edge.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with extended episodes, make the ads disappear, and increment your audio quality with higher bitrate mp3s. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://changelog.com/shipit">Ship It!</a> – A podcast about getting your best ideas into the world and seeing what happens. Listen to an episode that interests you and <a href="https://changelog.com/shipit">subscribe today</a>. </li></ul><p>Featuring:</p><ul><li>Luis Ceze – <a href="https://www.linkedin.com/in/luis-ceze-50b2314">LinkedIn</a>, <a href="https://x.com/luisceze">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://octoml.ai/">OctoML</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/luisceze" img="https://img.transistorcdn.com/TbQSNCVMM2WVMfuZ9sWR6t2AOn4I4upo6qroYCTbz5A/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kMDhh/Yzg2OTQ4NTJiNmZj/ZWNiOTc3NjJiMWMw/MDdjNC5qcGc.jpg">Luis Ceze</podcast:person>
    </item>
    <item>
      <title>🌍 AI in Africa - Agriculture</title>
      <itunes:episode>175</itunes:episode>
      <podcast:episode>175</podcast:episode>
      <itunes:title>🌍 AI in Africa - Agriculture</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1638</guid>
      <link>https://share.transistor.fm/s/85f91f30</link>
      <description>
        <![CDATA[<p>In the fourth “AI in Africa” spotlight episode, we welcome Leonida Mutuku and Godliver Owomugisha, two experts in applying advanced technology in agriculture. We had a great discussion about ending poverty, hunger, and inequality in Africa via AI innovation. The discussion touches on open data, relevant models, ethics, and more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Leo Mutuku – <a href="https://www.leonida.me">Website</a>, <a href="https://github.com/leomutuku">GitHub</a>, <a href="https://www.linkedin.com/in/leomutuku">LinkedIn</a>, <a href="https://x.com/leomutuku">X</a></li><li>Godliver Owomugisha – <a href="https://github.com/godliver">GitHub</a>, <a href="https://www.linkedin.com/in/godliver-owomugisha-57970a22">LinkedIn</a>, <a href="https://x.com/GodliverO">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li><li>Joyce Nabende – <a href="https://x.com/j_nabende">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://scholar.google.nl/citations?user=s26G8-QAAAAJ&amp;hl=en">Godliver’s Google Scholar page</a></li><li><a href="https://godliver.cropspec.net/">Godliver’s academic homepage</a></li><li><a href="https://www.developlocal.org/about-ldri/our-story/">Local Development Research Institute (LDRI)</a></li><li><a href="https://cropspec.net/index.php">CropSpec</a></li><li><a href="https://www.openforgood.info/#Start">Open for Good Alliance</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In the fourth “AI in Africa” spotlight episode, we welcome Leonida Mutuku and Godliver Owomugisha, two experts in applying advanced technology in agriculture. We had a great discussion about ending poverty, hunger, and inequality in Africa via AI innovation. The discussion touches on open data, relevant models, ethics, and more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Leo Mutuku – <a href="https://www.leonida.me">Website</a>, <a href="https://github.com/leomutuku">GitHub</a>, <a href="https://www.linkedin.com/in/leomutuku">LinkedIn</a>, <a href="https://x.com/leomutuku">X</a></li><li>Godliver Owomugisha – <a href="https://github.com/godliver">GitHub</a>, <a href="https://www.linkedin.com/in/godliver-owomugisha-57970a22">LinkedIn</a>, <a href="https://x.com/GodliverO">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li><li>Joyce Nabende – <a href="https://x.com/j_nabende">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://scholar.google.nl/citations?user=s26G8-QAAAAJ&amp;hl=en">Godliver’s Google Scholar page</a></li><li><a href="https://godliver.cropspec.net/">Godliver’s academic homepage</a></li><li><a href="https://www.developlocal.org/about-ldri/our-story/">Local Development Research Institute (LDRI)</a></li><li><a href="https://cropspec.net/index.php">CropSpec</a></li><li><a href="https://www.openforgood.info/#Start">Open for Good Alliance</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 19 Apr 2022 15:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/85f91f30/f73269df.mp3" length="49777635" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3073</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In the fourth “AI in Africa” spotlight episode, we welcome Leonida Mutuku and Godliver Owomugisha, two experts in applying advanced technology in agriculture. We had a great discussion about ending poverty, hunger, and inequality in Africa via AI innovation. The discussion touches on open data, relevant models, ethics, and more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Leo Mutuku – <a href="https://www.leonida.me">Website</a>, <a href="https://github.com/leomutuku">GitHub</a>, <a href="https://www.linkedin.com/in/leomutuku">LinkedIn</a>, <a href="https://x.com/leomutuku">X</a></li><li>Godliver Owomugisha – <a href="https://github.com/godliver">GitHub</a>, <a href="https://www.linkedin.com/in/godliver-owomugisha-57970a22">LinkedIn</a>, <a href="https://x.com/GodliverO">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li><li>Joyce Nabende – <a href="https://x.com/j_nabende">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://scholar.google.nl/citations?user=s26G8-QAAAAJ&amp;hl=en">Godliver’s Google Scholar page</a></li><li><a href="https://godliver.cropspec.net/">Godliver’s academic homepage</a></li><li><a href="https://www.developlocal.org/about-ldri/our-story/">Local Development Research Institute (LDRI)</a></li><li><a href="https://cropspec.net/index.php">CropSpec</a></li><li><a href="https://www.openforgood.info/#Start">Open for Good Alliance</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/leomutuku" img="https://img.transistorcdn.com/c9G-BiO8NVTvr_CF30iX5KrWP6kYnwWt2T4c40_iHhA/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZDJl/YzFjZGZkMWY0ZmI0/NDhiNjcxZDY1MDc5/YzI0OC5qcGc.jpg">Leo Mutuku</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/godliver" img="https://img.transistorcdn.com/K-_YY43_gkYv73q7MsrTcXhE6X1upO5XOiEVJJoUteU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xNTg0/YmZmZDEwNTc1MmY5/ZjM3YTM3OWE5Zjg2/YWQ3OS5qcGc.jpg">Godliver Owomugisha</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/j_nabende" img="https://img.transistorcdn.com/M4EbanLd0pky0OK1rcCJINyKoLYfkHUb4iv1lnJqOYI/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kOWI4/YWQ3MWViYjk0NDg3/NmNjYzYwN2MxNzlm/MGVhMS5qcGc.jpg">Joyce Nabende</podcast:person>
    </item>
    <item>
      <title>Quick, beautiful web UIs for ML apps</title>
      <itunes:episode>174</itunes:episode>
      <podcast:episode>174</podcast:episode>
      <itunes:title>Quick, beautiful web UIs for ML apps</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1623</guid>
      <link>https://share.transistor.fm/s/b48cb33f</link>
      <description>
        <![CDATA[<p>Abubakar Abid joins Daniel and Chris for a tour of <a href="https://www.gradio.app">Gradio</a> and tells them about the project joining Hugging Face. What’s Gradio? The fastest way to demo your machine learning model with a friendly web interface, allowing non-technical users to access, use, and give feedback on models.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Abubakar Abid – <a href="https://github.com/abidlabs">GitHub</a>, <a href="https://www.linkedin.com/in/abid15">LinkedIn</a>, <a href="https://x.com/abidlabs">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://gradio.app/joining-huggingface">Gradio | We are joining Hugging Face!</a></li><li><a href="https://github.com/gradio-app/gradio">Gradio | Github</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Abubakar Abid joins Daniel and Chris for a tour of <a href="https://www.gradio.app">Gradio</a> and tells them about the project joining Hugging Face. What’s Gradio? The fastest way to demo your machine learning model with a friendly web interface, allowing non-technical users to access, use, and give feedback on models.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Abubakar Abid – <a href="https://github.com/abidlabs">GitHub</a>, <a href="https://www.linkedin.com/in/abid15">LinkedIn</a>, <a href="https://x.com/abidlabs">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://gradio.app/joining-huggingface">Gradio | We are joining Hugging Face!</a></li><li><a href="https://github.com/gradio-app/gradio">Gradio | Github</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 05 Apr 2022 11:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/b48cb33f/5a198def.mp3" length="41033109" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2529</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Abubakar Abid joins Daniel and Chris for a tour of <a href="https://www.gradio.app">Gradio</a> and tells them about the project joining Hugging Face. What’s Gradio? The fastest way to demo your machine learning model with a friendly web interface, allowing non-technical users to access, use, and give feedback on models.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Abubakar Abid – <a href="https://github.com/abidlabs">GitHub</a>, <a href="https://www.linkedin.com/in/abid15">LinkedIn</a>, <a href="https://x.com/abidlabs">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://gradio.app/joining-huggingface">Gradio | We are joining Hugging Face!</a></li><li><a href="https://github.com/gradio-app/gradio">Gradio | Github</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/abidlabs" img="https://img.transistorcdn.com/7MhB85ppG_glOW9G04DiwEeQY823Yy9OBjjEf4S-yB4/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lOTg2/OGI2NTFiNWMzYTQ0/NzRkODc2ZWIxZGM1/MTVkNy5qcGc.jpg">Abubakar Abid</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>It's been a BIG week in AI news 🗞</title>
      <itunes:episode>173</itunes:episode>
      <podcast:episode>173</podcast:episode>
      <itunes:title>It's been a BIG week in AI news 🗞</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1613</guid>
      <link>https://share.transistor.fm/s/50dfee77</link>
      <description>
        <![CDATA[<p>This last week has been a big week for AI news. BigScience is training a huge language model (while the world watches), and NVIDIA announced their latest “Hopper” GPUs. Chris and Daniel discuss these and other topics on this fully connected episode!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>BigScience Language Model Training</p><ul><li><a href="https://bigscience.notion.site/BigScience-176B-Model-ad073ca07cdf479398d5f95d88e218c4">Model Details</a></li><li><a href="https://huggingface.co/bigscience/tr11-176B-ml-logs/tensorboard?tab=scalars&amp;tagFilter=lm%20loss#tensorboard">Live model logs and training curves</a></li></ul><p>H100 from NVIDIA</p><ul><li>[White paper](https://www.nvidia.com/en-us/data-center/h100/<br> https://cf-store.widencdn.net/nvdam/8/4/a/84ae26c1-6774-4083-a41d-4f3d82a6a449.pdf)</li><li><a href="https://developer.nvidia.com/nvidia-omniverse-platform">Omniverse platform</a></li><li><a href="https://blogs.nvidia.com/blog/2021/11/12/earth-2-supercomputer/">Earth-2 Supercomputer</a></li></ul><p><a href="https://aiindex.stanford.edu/report/">Stanford’s AI Index 2022</a></p><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>This last week has been a big week for AI news. BigScience is training a huge language model (while the world watches), and NVIDIA announced their latest “Hopper” GPUs. Chris and Daniel discuss these and other topics on this fully connected episode!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>BigScience Language Model Training</p><ul><li><a href="https://bigscience.notion.site/BigScience-176B-Model-ad073ca07cdf479398d5f95d88e218c4">Model Details</a></li><li><a href="https://huggingface.co/bigscience/tr11-176B-ml-logs/tensorboard?tab=scalars&amp;tagFilter=lm%20loss#tensorboard">Live model logs and training curves</a></li></ul><p>H100 from NVIDIA</p><ul><li>[White paper](https://www.nvidia.com/en-us/data-center/h100/<br> https://cf-store.widencdn.net/nvdam/8/4/a/84ae26c1-6774-4083-a41d-4f3d82a6a449.pdf)</li><li><a href="https://developer.nvidia.com/nvidia-omniverse-platform">Omniverse platform</a></li><li><a href="https://blogs.nvidia.com/blog/2021/11/12/earth-2-supercomputer/">Earth-2 Supercomputer</a></li></ul><p><a href="https://aiindex.stanford.edu/report/">Stanford’s AI Index 2022</a></p><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 29 Mar 2022 17:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/50dfee77/9cb50ac3.mp3" length="40177275" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2477</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>This last week has been a big week for AI news. BigScience is training a huge language model (while the world watches), and NVIDIA announced their latest “Hopper” GPUs. Chris and Daniel discuss these and other topics on this fully connected episode!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>BigScience Language Model Training</p><ul><li><a href="https://bigscience.notion.site/BigScience-176B-Model-ad073ca07cdf479398d5f95d88e218c4">Model Details</a></li><li><a href="https://huggingface.co/bigscience/tr11-176B-ml-logs/tensorboard?tab=scalars&amp;tagFilter=lm%20loss#tensorboard">Live model logs and training curves</a></li></ul><p>H100 from NVIDIA</p><ul><li>[White paper](https://www.nvidia.com/en-us/data-center/h100/<br> https://cf-store.widencdn.net/nvdam/8/4/a/84ae26c1-6774-4083-a41d-4f3d82a6a449.pdf)</li><li><a href="https://developer.nvidia.com/nvidia-omniverse-platform">Omniverse platform</a></li><li><a href="https://blogs.nvidia.com/blog/2021/11/12/earth-2-supercomputer/">Earth-2 Supercomputer</a></li></ul><p><a href="https://aiindex.stanford.edu/report/">Stanford’s AI Index 2022</a></p><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>"Foundation" models</title>
      <itunes:episode>172</itunes:episode>
      <podcast:episode>172</podcast:episode>
      <itunes:title>"Foundation" models</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1610</guid>
      <link>https://share.transistor.fm/s/99ddb901</link>
      <description>
        <![CDATA[<p>The term “foundation” model has been around since about the middle of last year when a research group at Stanford published the comprehensive report <a href="https://crfm.stanford.edu/report.html">On the Opportunities and Risks of Foundation Models</a>. The naming of these models created some strong reactions, both good and bad. In this episode, Chris and Daniel dive into the ideas behind the report.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://crfm.stanford.edu/report.html">Report: “On the Opportunities and Risks of Foundation Models”</a></li><li><a href="https://hai.stanford.edu/news/reflections-foundation-models">Follow up Blog post: “Reflections on Foundation Models”</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>The term “foundation” model has been around since about the middle of last year when a research group at Stanford published the comprehensive report <a href="https://crfm.stanford.edu/report.html">On the Opportunities and Risks of Foundation Models</a>. The naming of these models created some strong reactions, both good and bad. In this episode, Chris and Daniel dive into the ideas behind the report.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://crfm.stanford.edu/report.html">Report: “On the Opportunities and Risks of Foundation Models”</a></li><li><a href="https://hai.stanford.edu/news/reflections-foundation-models">Follow up Blog post: “Reflections on Foundation Models”</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 23 Mar 2022 13:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/99ddb901/51b91c61.mp3" length="40391583" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2487</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>The term “foundation” model has been around since about the middle of last year when a research group at Stanford published the comprehensive report <a href="https://crfm.stanford.edu/report.html">On the Opportunities and Risks of Foundation Models</a>. The naming of these models created some strong reactions, both good and bad. In this episode, Chris and Daniel dive into the ideas behind the report.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://crfm.stanford.edu/report.html">Report: “On the Opportunities and Risks of Foundation Models”</a></li><li><a href="https://hai.stanford.edu/news/reflections-foundation-models">Follow up Blog post: “Reflections on Foundation Models”</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Clothing AI in a data fabric</title>
      <itunes:episode>171</itunes:episode>
      <podcast:episode>171</podcast:episode>
      <itunes:title>Clothing AI in a data fabric</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1607</guid>
      <link>https://share.transistor.fm/s/54496c57</link>
      <description>
        <![CDATA[<p>What happens when your data operations grow to Internet-scale? How do thousands or millions of data producers and consumers efficiently, effectively, and productively interact with each other? How are varying formats, protocols, security levels, performance criteria, and use-case specific characteristics meshed into one unified data fabric? Chris and Daniel explore these questions in this illuminating and Fully-Connected discussion that brings this new data technology into the light.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Learning Resources</p><ul><li><a href="https://go.dev">Go.Dev</a> - a great programming language for data fabric development</li></ul><p>Books</p><ul><li><a href="https://jakevdp.github.io/PythonDataScienceHandbook">“Python Data Science Handbook” by Jake VanderPlas</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>What happens when your data operations grow to Internet-scale? How do thousands or millions of data producers and consumers efficiently, effectively, and productively interact with each other? How are varying formats, protocols, security levels, performance criteria, and use-case specific characteristics meshed into one unified data fabric? Chris and Daniel explore these questions in this illuminating and Fully-Connected discussion that brings this new data technology into the light.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Learning Resources</p><ul><li><a href="https://go.dev">Go.Dev</a> - a great programming language for data fabric development</li></ul><p>Books</p><ul><li><a href="https://jakevdp.github.io/PythonDataScienceHandbook">“Python Data Science Handbook” by Jake VanderPlas</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 16 Mar 2022 09:40:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/54496c57/f8f3ddd8.mp3" length="44933325" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2768</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>What happens when your data operations grow to Internet-scale? How do thousands or millions of data producers and consumers efficiently, effectively, and productively interact with each other? How are varying formats, protocols, security levels, performance criteria, and use-case specific characteristics meshed into one unified data fabric? Chris and Daniel explore these questions in this illuminating and Fully-Connected discussion that brings this new data technology into the light.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Learning Resources</p><ul><li><a href="https://go.dev">Go.Dev</a> - a great programming language for data fabric development</li></ul><p>Books</p><ul><li><a href="https://jakevdp.github.io/PythonDataScienceHandbook">“Python Data Science Handbook” by Jake VanderPlas</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Creating a culture of innovation</title>
      <itunes:episode>170</itunes:episode>
      <podcast:episode>170</podcast:episode>
      <itunes:title>Creating a culture of innovation</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1604</guid>
      <link>https://share.transistor.fm/s/f6bcfbd5</link>
      <description>
        <![CDATA[<p>Daniel and Chris talk with Lukas Egger, Head of Innovation Office and Strategic Projects at SAP Business Process Intelligence. Lukas describes what it takes to bring a culture of innovation into an organization, and how to infuse product development with that innovation culture. He also offers suggestions for how to mitigate challenges and blockers.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Lukas Egger – <a href="https://about.me/lukas_egger">Website</a>, <a href="https://www.linkedin.com/in/lukas-np-egger">LinkedIn</a>, <a href="https://x.com/Brusik">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.sap.com/products/business-process-intelligence.html">SAP BPI</a></li><li><a href="https://medium.com/org-hacking/pioneers-settlers-town-planners-wardley-9dcd3709cde7">Pioneers, Settlers, Town Planners</a></li><li><a href="https://less.works">More with LeSS</a></li><li><a href="https://www.goodreads.com/book/show/255127.The_Fifth_Discipline">The Fifth Discipline: The Art &amp; Practice of The Learning Organization</a></li><li><a href="https://en.wikipedia.org/wiki/Kaizen">Kaizen | Wikipedia</a></li><li><a href="https://stratechery.com">Stratechery</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel and Chris talk with Lukas Egger, Head of Innovation Office and Strategic Projects at SAP Business Process Intelligence. Lukas describes what it takes to bring a culture of innovation into an organization, and how to infuse product development with that innovation culture. He also offers suggestions for how to mitigate challenges and blockers.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Lukas Egger – <a href="https://about.me/lukas_egger">Website</a>, <a href="https://www.linkedin.com/in/lukas-np-egger">LinkedIn</a>, <a href="https://x.com/Brusik">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.sap.com/products/business-process-intelligence.html">SAP BPI</a></li><li><a href="https://medium.com/org-hacking/pioneers-settlers-town-planners-wardley-9dcd3709cde7">Pioneers, Settlers, Town Planners</a></li><li><a href="https://less.works">More with LeSS</a></li><li><a href="https://www.goodreads.com/book/show/255127.The_Fifth_Discipline">The Fifth Discipline: The Art &amp; Practice of The Learning Organization</a></li><li><a href="https://en.wikipedia.org/wiki/Kaizen">Kaizen | Wikipedia</a></li><li><a href="https://stratechery.com">Stratechery</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 08 Mar 2022 14:35:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/f6bcfbd5/cd37dcdb.mp3" length="50715914" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3125</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel and Chris talk with Lukas Egger, Head of Innovation Office and Strategic Projects at SAP Business Process Intelligence. Lukas describes what it takes to bring a culture of innovation into an organization, and how to infuse product development with that innovation culture. He also offers suggestions for how to mitigate challenges and blockers.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Lukas Egger – <a href="https://about.me/lukas_egger">Website</a>, <a href="https://www.linkedin.com/in/lukas-np-egger">LinkedIn</a>, <a href="https://x.com/Brusik">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.sap.com/products/business-process-intelligence.html">SAP BPI</a></li><li><a href="https://medium.com/org-hacking/pioneers-settlers-town-planners-wardley-9dcd3709cde7">Pioneers, Settlers, Town Planners</a></li><li><a href="https://less.works">More with LeSS</a></li><li><a href="https://www.goodreads.com/book/show/255127.The_Fifth_Discipline">The Fifth Discipline: The Art &amp; Practice of The Learning Organization</a></li><li><a href="https://en.wikipedia.org/wiki/Kaizen">Kaizen | Wikipedia</a></li><li><a href="https://stratechery.com">Stratechery</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/lukas-egger" img="https://img.transistorcdn.com/ZqC4eiemycZlkj0Q2PapFjhYIec6RPCnnStY2F0_do4/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85YTE3/MTY5ZjY5MDcwYjU3/NWJiOGY3MWQ1YTk5/YWQwYi5qcGc.jpg">Lukas Egger</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Deploying models (to tractors 🚜)</title>
      <itunes:episode>169</itunes:episode>
      <podcast:episode>169</podcast:episode>
      <itunes:title>Deploying models (to tractors 🚜)</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1598</guid>
      <link>https://share.transistor.fm/s/dc874154</link>
      <description>
        <![CDATA[<p>Alon from Greeneye and Moses from ClearML blew us away when they said that they are training 1000’s of models a year that get deployed to Kubernetes clusters on tractors. Yes… we said tractors, as in farming! This is a super cool discussion about MLOps solutions at scale for interesting use cases in agriculture.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Alon Klein Orback – <a href="https://x.com/GreeneyeAg">X</a></li><li>Moses Guttmann – </li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://greeneye.ag/">Greeneye</a></li><li><a href="https://techblog.greeneye.ag/blog/tag/clearml">Greeneye Blog</a></li><li><a href="https://clear.ml/">ClearML</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Alon from Greeneye and Moses from ClearML blew us away when they said that they are training 1000’s of models a year that get deployed to Kubernetes clusters on tractors. Yes… we said tractors, as in farming! This is a super cool discussion about MLOps solutions at scale for interesting use cases in agriculture.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Alon Klein Orback – <a href="https://x.com/GreeneyeAg">X</a></li><li>Moses Guttmann – </li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://greeneye.ag/">Greeneye</a></li><li><a href="https://techblog.greeneye.ag/blog/tag/clearml">Greeneye Blog</a></li><li><a href="https://clear.ml/">ClearML</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 01 Mar 2022 14:50:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/dc874154/ece864f3.mp3" length="49587416" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3056</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Alon from Greeneye and Moses from ClearML blew us away when they said that they are training 1000’s of models a year that get deployed to Kubernetes clusters on tractors. Yes… we said tractors, as in farming! This is a super cool discussion about MLOps solutions at scale for interesting use cases in agriculture.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Alon Klein Orback – <a href="https://x.com/GreeneyeAg">X</a></li><li>Moses Guttmann – </li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://greeneye.ag/">Greeneye</a></li><li><a href="https://techblog.greeneye.ag/blog/tag/clearml">Greeneye Blog</a></li><li><a href="https://clear.ml/">ClearML</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/greeneyeag" img="https://img.transistorcdn.com/fZ1l1xs7-xfCSlh7Ohwbct74RgMZnceI_rW0PWglRvQ/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81Y2Rj/OTlhYjYxMTcwM2M0/YzQyZWYwNzcyNWY0/ZDM0Yy5wbmc.jpg">Alon Klein Orback</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/moses-guttmann" img="https://img.transistorcdn.com/dP6489rQzViy5bvpvcYoSQrgpo8-8VyiFxC-MHCYJms/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84NDIz/ODljMDc2NWQxMmMy/ZWY4MzhmMDg4YWMx/MTcyMS5qcGVn.jpg">Moses Guttmann</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>One algorithm to rule them all?</title>
      <itunes:episode>168</itunes:episode>
      <podcast:episode>168</podcast:episode>
      <itunes:title>One algorithm to rule them all?</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1588</guid>
      <link>https://share.transistor.fm/s/2bd0e363</link>
      <description>
        <![CDATA[<p>From MIT researchers who have an AI system that rapidly predicts how two proteins will attach, to Facebook’s first high-performance self-supervised algorithm that works for speech, vision, and text, Daniel and Chris survey the AI landscape for notable milestones in the application of AI in industry and research.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://ai.facebook.com/blog/the-first-high-performance-self-supervised-algorithm-that-works-for-speech-vision-and-text">The first high-performance self-supervised algorithm that works for speech, vision, and text</a></li><li><a href="https://www.theverge.com/2022/2/2/22914085/alphacode-ai-coding-program-automatic-deepmind-codeforce">DeepMind says its new AI coding engine is as good as an average human programmer</a></li><li><a href="https://news.mit.edu/2022/ai-predicts-protein-docking-0201">Artificial intelligence system rapidly predicts how two proteins will attach</a></li><li><a href="https://seeing-theory.brown.edu">Seeing Theory</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1732265178">“The Art of Doing Science and Engineering” by Richard W. Hamming</a></li><li><a href="https://www.amazon.com/dp/069123373X">“Patterns, Predictions, and Actions” by Moritz Hardt and Benjamin Recht</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>From MIT researchers who have an AI system that rapidly predicts how two proteins will attach, to Facebook’s first high-performance self-supervised algorithm that works for speech, vision, and text, Daniel and Chris survey the AI landscape for notable milestones in the application of AI in industry and research.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://ai.facebook.com/blog/the-first-high-performance-self-supervised-algorithm-that-works-for-speech-vision-and-text">The first high-performance self-supervised algorithm that works for speech, vision, and text</a></li><li><a href="https://www.theverge.com/2022/2/2/22914085/alphacode-ai-coding-program-automatic-deepmind-codeforce">DeepMind says its new AI coding engine is as good as an average human programmer</a></li><li><a href="https://news.mit.edu/2022/ai-predicts-protein-docking-0201">Artificial intelligence system rapidly predicts how two proteins will attach</a></li><li><a href="https://seeing-theory.brown.edu">Seeing Theory</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1732265178">“The Art of Doing Science and Engineering” by Richard W. Hamming</a></li><li><a href="https://www.amazon.com/dp/069123373X">“Patterns, Predictions, and Actions” by Moritz Hardt and Benjamin Recht</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 15 Feb 2022 15:15:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/2bd0e363/bcf07767.mp3" length="43737206" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2695</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>From MIT researchers who have an AI system that rapidly predicts how two proteins will attach, to Facebook’s first high-performance self-supervised algorithm that works for speech, vision, and text, Daniel and Chris survey the AI landscape for notable milestones in the application of AI in industry and research.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://ai.facebook.com/blog/the-first-high-performance-self-supervised-algorithm-that-works-for-speech-vision-and-text">The first high-performance self-supervised algorithm that works for speech, vision, and text</a></li><li><a href="https://www.theverge.com/2022/2/2/22914085/alphacode-ai-coding-program-automatic-deepmind-codeforce">DeepMind says its new AI coding engine is as good as an average human programmer</a></li><li><a href="https://news.mit.edu/2022/ai-predicts-protein-docking-0201">Artificial intelligence system rapidly predicts how two proteins will attach</a></li><li><a href="https://seeing-theory.brown.edu">Seeing Theory</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1732265178">“The Art of Doing Science and Engineering” by Richard W. Hamming</a></li><li><a href="https://www.amazon.com/dp/069123373X">“Patterns, Predictions, and Actions” by Moritz Hardt and Benjamin Recht</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>🌍 AI in Africa - Voice &amp; language tools</title>
      <itunes:episode>167</itunes:episode>
      <podcast:episode>167</podcast:episode>
      <itunes:title>🌍 AI in Africa - Voice &amp; language tools</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1584</guid>
      <link>https://share.transistor.fm/s/e3b2b9e8</link>
      <description>
        <![CDATA[<p>In the third of the “AI in Africa” spotlight episodes, we welcome Kathleen Siminyu, who is building Kiswahili voice tools at Mozilla. We had a great discussion with Kathleen about creating more diverse voice and language datasets, involving local language communities in NLP work, and expanding grassroots ML/AI efforts across Africa.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Kathleen Siminyu – <a href="https://www.linkedin.com/in/kathleen-siminyu">LinkedIn</a>, <a href="https://x.com/siminyu_kat">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li><li>Joyce Nabende – <a href="https://x.com/j_nabende">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://foundation.mozilla.org/en/blog/kujitambulisha-kathleen-siminyu-introducing-myself-kathleen-siminyu/">“Introducing myself” from Kathleen</a></li><li><a href="https://www.masakhane.io/">Masakhane</a></li><li><a href="https://commonvoice.mozilla.org/en">Common Voice</a></li><li><a href="https://www.openforgood.info/#Start">Open for Good Alliance</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In the third of the “AI in Africa” spotlight episodes, we welcome Kathleen Siminyu, who is building Kiswahili voice tools at Mozilla. We had a great discussion with Kathleen about creating more diverse voice and language datasets, involving local language communities in NLP work, and expanding grassroots ML/AI efforts across Africa.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Kathleen Siminyu – <a href="https://www.linkedin.com/in/kathleen-siminyu">LinkedIn</a>, <a href="https://x.com/siminyu_kat">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li><li>Joyce Nabende – <a href="https://x.com/j_nabende">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://foundation.mozilla.org/en/blog/kujitambulisha-kathleen-siminyu-introducing-myself-kathleen-siminyu/">“Introducing myself” from Kathleen</a></li><li><a href="https://www.masakhane.io/">Masakhane</a></li><li><a href="https://commonvoice.mozilla.org/en">Common Voice</a></li><li><a href="https://www.openforgood.info/#Start">Open for Good Alliance</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 09 Feb 2022 11:15:00 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>2617</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In the third of the “AI in Africa” spotlight episodes, we welcome Kathleen Siminyu, who is building Kiswahili voice tools at Mozilla. We had a great discussion with Kathleen about creating more diverse voice and language datasets, involving local language communities in NLP work, and expanding grassroots ML/AI efforts across Africa.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Kathleen Siminyu – <a href="https://www.linkedin.com/in/kathleen-siminyu">LinkedIn</a>, <a href="https://x.com/siminyu_kat">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li><li>Joyce Nabende – <a href="https://x.com/j_nabende">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://foundation.mozilla.org/en/blog/kujitambulisha-kathleen-siminyu-introducing-myself-kathleen-siminyu/">“Introducing myself” from Kathleen</a></li><li><a href="https://www.masakhane.io/">Masakhane</a></li><li><a href="https://commonvoice.mozilla.org/en">Common Voice</a></li><li><a href="https://www.openforgood.info/#Start">Open for Good Alliance</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/kathleen-siminyu" img="https://img.transistorcdn.com/VR2ailty_mgkopUMloW6Z2pQQD1YjN7LSvh5YJIw3D0/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81YTRj/MWE4MTNkYmZlYThk/YTdhOWMzZDEwY2Y5/MTI0OC5qcGc.jpg">Kathleen Siminyu</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/j_nabende" img="https://img.transistorcdn.com/M4EbanLd0pky0OK1rcCJINyKoLYfkHUb4iv1lnJqOYI/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kOWI4/YWQ3MWViYjk0NDg3/NmNjYzYwN2MxNzlm/MGVhMS5qcGc.jpg">Joyce Nabende</podcast:person>
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    <item>
      <title>Exploring deep reinforcement learning</title>
      <itunes:episode>166</itunes:episode>
      <podcast:episode>166</podcast:episode>
      <itunes:title>Exploring deep reinforcement learning</itunes:title>
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        <![CDATA[<p>In addition to being a Developer Advocate at Hugging Face, Thomas Simonini is building next-gen AI in games that can talk and have smart interactions with the player using Deep Reinforcement Learning (DRL) and Natural Language Processing (NLP). He also created a Deep Reinforcement Learning course that takes a DRL beginner to from zero to hero. Natalie and Chris explore what’s involved, and what the implications are, with a focus on the development path of the new AI data scientist.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Thomas Simonini – <a href="https://www.simoninithomas.com">Website</a>, <a href="https://github.com/simoninithomas">GitHub</a>, <a href="https://www.linkedin.com/in/simoninithomas">LinkedIn</a>, <a href="https://x.com/ThomasSimonini">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Natalie Pistunovich – <a href="https://github.com/Pisush">GitHub</a>, <a href="https://x.com/nataliepis">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://huggingface.co/ThomasSimonini">Thomas Simonini | Hugging Face</a></li><li><a href="https://simoninithomas.github.io/deep-rl-course">Deep Reinforcement Learning course</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In addition to being a Developer Advocate at Hugging Face, Thomas Simonini is building next-gen AI in games that can talk and have smart interactions with the player using Deep Reinforcement Learning (DRL) and Natural Language Processing (NLP). He also created a Deep Reinforcement Learning course that takes a DRL beginner to from zero to hero. Natalie and Chris explore what’s involved, and what the implications are, with a focus on the development path of the new AI data scientist.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Thomas Simonini – <a href="https://www.simoninithomas.com">Website</a>, <a href="https://github.com/simoninithomas">GitHub</a>, <a href="https://www.linkedin.com/in/simoninithomas">LinkedIn</a>, <a href="https://x.com/ThomasSimonini">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Natalie Pistunovich – <a href="https://github.com/Pisush">GitHub</a>, <a href="https://x.com/nataliepis">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://huggingface.co/ThomasSimonini">Thomas Simonini | Hugging Face</a></li><li><a href="https://simoninithomas.github.io/deep-rl-course">Deep Reinforcement Learning course</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 01 Feb 2022 15:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/31fe69cf/ce4a0657.mp3" length="60237937" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2482</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In addition to being a Developer Advocate at Hugging Face, Thomas Simonini is building next-gen AI in games that can talk and have smart interactions with the player using Deep Reinforcement Learning (DRL) and Natural Language Processing (NLP). He also created a Deep Reinforcement Learning course that takes a DRL beginner to from zero to hero. Natalie and Chris explore what’s involved, and what the implications are, with a focus on the development path of the new AI data scientist.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Thomas Simonini – <a href="https://www.simoninithomas.com">Website</a>, <a href="https://github.com/simoninithomas">GitHub</a>, <a href="https://www.linkedin.com/in/simoninithomas">LinkedIn</a>, <a href="https://x.com/ThomasSimonini">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Natalie Pistunovich – <a href="https://github.com/Pisush">GitHub</a>, <a href="https://x.com/nataliepis">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://huggingface.co/ThomasSimonini">Thomas Simonini | Hugging Face</a></li><li><a href="https://simoninithomas.github.io/deep-rl-course">Deep Reinforcement Learning course</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/simoninithomas" img="https://img.transistorcdn.com/TYDw1KMWUDRIIqJ6rPMqXEWrxg5aqp8Ffys2_9At9Ws/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jYzZi/M2E2Nzk1YzZlODUy/ZTNlY2E5N2RhMTIw/YjdiZi5qcGVn.jpg">Thomas Simonini</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/nataliepis" img="https://img.transistorcdn.com/ffMRU8EOUZP6BxnBPUGcuDAftK-jz9vPeQq0V9HOTRU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hNzA0/YWQzN2JlMzRjNzcz/M2NiMGMyYzAwYjg5/YjUzOS5qcGVn.jpg">Natalie Pistunovich</podcast:person>
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    <item>
      <title>The world needs an AI superhero</title>
      <itunes:episode>165</itunes:episode>
      <podcast:episode>165</podcast:episode>
      <itunes:title>The world needs an AI superhero</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1564</guid>
      <link>https://share.transistor.fm/s/0f11a2cd</link>
      <description>
        <![CDATA[<p>From drug discovery at the Quebec AI Institute to improving capabilities with low-resourced languages at the Masakhane Research Foundation and Google AI, Bonaventure Dossou looks for opportunities to use his expertise in natural language processing to improve the world - and especially to help his homeland in the Benin Republic in Africa.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Bonaventure Dossou – <a href="https://bonaventuredossou.github.io">Website</a>, <a href="https://github.com/bonaventuredossou">GitHub</a>, <a href="https://www.linkedin.com/in/bonaventuredossou">LinkedIn</a>, <a href="https://x.com/bonadossou">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Natalie Pistunovich – <a href="https://github.com/Pisush">GitHub</a>, <a href="https://x.com/nataliepis">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.instagram.com/bona.dossou">Bonaventure Dossou | Instagram</a></li><li><a href="https://medium.com/masakhane/2020-my-year-of-fame-909f6cc670ed">2020 — ongoing: My Year of Fame and how I joined the world of Research</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>From drug discovery at the Quebec AI Institute to improving capabilities with low-resourced languages at the Masakhane Research Foundation and Google AI, Bonaventure Dossou looks for opportunities to use his expertise in natural language processing to improve the world - and especially to help his homeland in the Benin Republic in Africa.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Bonaventure Dossou – <a href="https://bonaventuredossou.github.io">Website</a>, <a href="https://github.com/bonaventuredossou">GitHub</a>, <a href="https://www.linkedin.com/in/bonaventuredossou">LinkedIn</a>, <a href="https://x.com/bonadossou">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Natalie Pistunovich – <a href="https://github.com/Pisush">GitHub</a>, <a href="https://x.com/nataliepis">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.instagram.com/bona.dossou">Bonaventure Dossou | Instagram</a></li><li><a href="https://medium.com/masakhane/2020-my-year-of-fame-909f6cc670ed">2020 — ongoing: My Year of Fame and how I joined the world of Research</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 25 Jan 2022 17:25:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/0f11a2cd/2384258d.mp3" length="41812735" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2598</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>From drug discovery at the Quebec AI Institute to improving capabilities with low-resourced languages at the Masakhane Research Foundation and Google AI, Bonaventure Dossou looks for opportunities to use his expertise in natural language processing to improve the world - and especially to help his homeland in the Benin Republic in Africa.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Bonaventure Dossou – <a href="https://bonaventuredossou.github.io">Website</a>, <a href="https://github.com/bonaventuredossou">GitHub</a>, <a href="https://www.linkedin.com/in/bonaventuredossou">LinkedIn</a>, <a href="https://x.com/bonadossou">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Natalie Pistunovich – <a href="https://github.com/Pisush">GitHub</a>, <a href="https://x.com/nataliepis">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.instagram.com/bona.dossou">Bonaventure Dossou | Instagram</a></li><li><a href="https://medium.com/masakhane/2020-my-year-of-fame-909f6cc670ed">2020 — ongoing: My Year of Fame and how I joined the world of Research</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/bonaventuredossou" img="https://img.transistorcdn.com/_mbrl8DwjFLCEn00mNxKUVllQI_G6qNjXLrkMtC0G-8/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83MWJi/NWRmYzNkYjQ1ZWMx/ZjI2NjBlM2MwMWU2/MzE1Yi5qcGVn.jpg">Bonaventure Dossou</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/nataliepis" img="https://img.transistorcdn.com/ffMRU8EOUZP6BxnBPUGcuDAftK-jz9vPeQq0V9HOTRU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hNzA0/YWQzN2JlMzRjNzcz/M2NiMGMyYzAwYjg5/YjUzOS5qcGVn.jpg">Natalie Pistunovich</podcast:person>
    </item>
    <item>
      <title>Democratizing ML for speech</title>
      <itunes:episode>164</itunes:episode>
      <podcast:episode>164</podcast:episode>
      <itunes:title>Democratizing ML for speech</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1560</guid>
      <link>https://share.transistor.fm/s/0243f082</link>
      <description>
        <![CDATA[<p>You might know about MLPerf, a benchmark from MLCommons that measures how fast systems can train models to a target quality metric. However, MLCommons is working on so much more! David Kanter joins us in this episode to discuss two new speech datasets that are democratizing machine learning for speech via data scale and language/speaker diversity.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li></ul><p>Featuring:</p><ul><li>David Kanter – <a href="https://github.com/thekanter">GitHub</a>, <a href="https://x.com/thekanter">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>Press Release about MLCommons datasets: <a href="https://mlcommons.org/en/news/neurips21/">MLCommons™ Association Unveils Open Datasets and Tools to Drive Democratization of Machine Learning</a></li><li>NeurIPS Papers: <ul><li><a href="https://openreview.net/forum?id=R8CwidgJ0yT">People’s Speech Dataset</a></li><li><a href="https://openreview.net/forum?id=c20jiJ5K2H">Multilingual Spoken Words Corpus (MSWC)</a></li></ul></li><li>Gradient article: <a href="https://thegradient.pub/new-datasets-to-democratize-speech-recognition-technology-2/">New Datasets to Democratize Speech Recognition Technology</a></li><li>Blog posts for more insight: <ul><li><a href="https://mlcommons.org/en/news/peoples-speech-blog/">People’s Speech</a></li><li><a href="https://mlcommons.org/en/news/spoken-words-blog/">Multilingual Spoken Words Corpus (MSWC)</a></li></ul></li><li>Downloads: <ul><li><a href="https://mlcommons.org/en/peoples-speech/">People’s Speech</a></li><li><a href="https://mlcommons.org/en/multilingual-spoken-words/">Multilingual Spoken Words Corpus</a></li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>You might know about MLPerf, a benchmark from MLCommons that measures how fast systems can train models to a target quality metric. However, MLCommons is working on so much more! David Kanter joins us in this episode to discuss two new speech datasets that are democratizing machine learning for speech via data scale and language/speaker diversity.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li></ul><p>Featuring:</p><ul><li>David Kanter – <a href="https://github.com/thekanter">GitHub</a>, <a href="https://x.com/thekanter">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>Press Release about MLCommons datasets: <a href="https://mlcommons.org/en/news/neurips21/">MLCommons™ Association Unveils Open Datasets and Tools to Drive Democratization of Machine Learning</a></li><li>NeurIPS Papers: <ul><li><a href="https://openreview.net/forum?id=R8CwidgJ0yT">People’s Speech Dataset</a></li><li><a href="https://openreview.net/forum?id=c20jiJ5K2H">Multilingual Spoken Words Corpus (MSWC)</a></li></ul></li><li>Gradient article: <a href="https://thegradient.pub/new-datasets-to-democratize-speech-recognition-technology-2/">New Datasets to Democratize Speech Recognition Technology</a></li><li>Blog posts for more insight: <ul><li><a href="https://mlcommons.org/en/news/peoples-speech-blog/">People’s Speech</a></li><li><a href="https://mlcommons.org/en/news/spoken-words-blog/">Multilingual Spoken Words Corpus (MSWC)</a></li></ul></li><li>Downloads: <ul><li><a href="https://mlcommons.org/en/peoples-speech/">People’s Speech</a></li><li><a href="https://mlcommons.org/en/multilingual-spoken-words/">Multilingual Spoken Words Corpus</a></li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 19 Jan 2022 10:30:00 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2690</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>You might know about MLPerf, a benchmark from MLCommons that measures how fast systems can train models to a target quality metric. However, MLCommons is working on so much more! David Kanter joins us in this episode to discuss two new speech datasets that are democratizing machine learning for speech via data scale and language/speaker diversity.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://fastly.com/">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li></ul><p>Featuring:</p><ul><li>David Kanter – <a href="https://github.com/thekanter">GitHub</a>, <a href="https://x.com/thekanter">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>Press Release about MLCommons datasets: <a href="https://mlcommons.org/en/news/neurips21/">MLCommons™ Association Unveils Open Datasets and Tools to Drive Democratization of Machine Learning</a></li><li>NeurIPS Papers: <ul><li><a href="https://openreview.net/forum?id=R8CwidgJ0yT">People’s Speech Dataset</a></li><li><a href="https://openreview.net/forum?id=c20jiJ5K2H">Multilingual Spoken Words Corpus (MSWC)</a></li></ul></li><li>Gradient article: <a href="https://thegradient.pub/new-datasets-to-democratize-speech-recognition-technology-2/">New Datasets to Democratize Speech Recognition Technology</a></li><li>Blog posts for more insight: <ul><li><a href="https://mlcommons.org/en/news/peoples-speech-blog/">People’s Speech</a></li><li><a href="https://mlcommons.org/en/news/spoken-words-blog/">Multilingual Spoken Words Corpus (MSWC)</a></li></ul></li><li>Downloads: <ul><li><a href="https://mlcommons.org/en/peoples-speech/">People’s Speech</a></li><li><a href="https://mlcommons.org/en/multilingual-spoken-words/">Multilingual Spoken Words Corpus</a></li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>Eliminate AI failures</title>
      <itunes:episode>163</itunes:episode>
      <podcast:episode>163</podcast:episode>
      <itunes:title>Eliminate AI failures</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1554</guid>
      <link>https://share.transistor.fm/s/259c38d4</link>
      <description>
        <![CDATA[<p>We have all seen how AI models fail, sometimes in spectacular ways. Yaron Singer joins us in this episode to discuss model vulnerabilities and automatic prevention of bad outcomes. By separating concerns and creating a “firewall” around your AI models, it’s possible to secure your AI workflows and prevent model failure.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://sloanreview.mit.edu/audio-series/me-myself-and-ai/">Me, Myself, and AI</a> – A podcast on artificial intelligence and business produced by MIT Sloan Management Review and Boston Consulting Group. Each episode, Sam Ransbotham and Sheervin Khodabandeh talk to AI leaders from organizations like Nasdaq, Spotify, Starbucks, and IKEA. Me, Myself, and AI is available wherever you get your podcasts. Just search Me, Myself, and AI. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://fastly.com/podcast">Fastly</a> – <strong>Compute@Edge free for 3 months</strong> — plus up to $100k a month in credit for an additional 6 months. Fastly’s Edge cloud network and modern approach to serverless computing allows you to deploy and run complex logic at the edge with unparalleled security and blazing fast computational speed. <a href="https://fastly.com/podcast">Head to fastly.com/podcast</a> to take advantage of this limited time promotion! </li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – <strong>Fundamentally change how you deliver software.</strong> Innovate faster, deploy fearlessly, and make each release a masterpiece. </li></ul><p>Featuring:</p><ul><li>Yaron Singer – <a href="https://x.com/yaronsinger">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.robustintelligence.com/">Robust Intelligence</a></li><li><a href="https://www.robustintelligence.com/blog">Robust Intelligence Blog</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We have all seen how AI models fail, sometimes in spectacular ways. Yaron Singer joins us in this episode to discuss model vulnerabilities and automatic prevention of bad outcomes. By separating concerns and creating a “firewall” around your AI models, it’s possible to secure your AI workflows and prevent model failure.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://sloanreview.mit.edu/audio-series/me-myself-and-ai/">Me, Myself, and AI</a> – A podcast on artificial intelligence and business produced by MIT Sloan Management Review and Boston Consulting Group. Each episode, Sam Ransbotham and Sheervin Khodabandeh talk to AI leaders from organizations like Nasdaq, Spotify, Starbucks, and IKEA. Me, Myself, and AI is available wherever you get your podcasts. Just search Me, Myself, and AI. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://fastly.com/podcast">Fastly</a> – <strong>Compute@Edge free for 3 months</strong> — plus up to $100k a month in credit for an additional 6 months. Fastly’s Edge cloud network and modern approach to serverless computing allows you to deploy and run complex logic at the edge with unparalleled security and blazing fast computational speed. <a href="https://fastly.com/podcast">Head to fastly.com/podcast</a> to take advantage of this limited time promotion! </li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – <strong>Fundamentally change how you deliver software.</strong> Innovate faster, deploy fearlessly, and make each release a masterpiece. </li></ul><p>Featuring:</p><ul><li>Yaron Singer – <a href="https://x.com/yaronsinger">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.robustintelligence.com/">Robust Intelligence</a></li><li><a href="https://www.robustintelligence.com/blog">Robust Intelligence Blog</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 11 Jan 2022 13:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2500</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We have all seen how AI models fail, sometimes in spectacular ways. Yaron Singer joins us in this episode to discuss model vulnerabilities and automatic prevention of bad outcomes. By separating concerns and creating a “firewall” around your AI models, it’s possible to secure your AI workflows and prevent model failure.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://sloanreview.mit.edu/audio-series/me-myself-and-ai/">Me, Myself, and AI</a> – A podcast on artificial intelligence and business produced by MIT Sloan Management Review and Boston Consulting Group. Each episode, Sam Ransbotham and Sheervin Khodabandeh talk to AI leaders from organizations like Nasdaq, Spotify, Starbucks, and IKEA. Me, Myself, and AI is available wherever you get your podcasts. Just search Me, Myself, and AI. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://fastly.com/podcast">Fastly</a> – <strong>Compute@Edge free for 3 months</strong> — plus up to $100k a month in credit for an additional 6 months. Fastly’s Edge cloud network and modern approach to serverless computing allows you to deploy and run complex logic at the edge with unparalleled security and blazing fast computational speed. <a href="https://fastly.com/podcast">Head to fastly.com/podcast</a> to take advantage of this limited time promotion! </li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – <strong>Fundamentally change how you deliver software.</strong> Innovate faster, deploy fearlessly, and make each release a masterpiece. </li></ul><p>Featuring:</p><ul><li>Yaron Singer – <a href="https://x.com/yaronsinger">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.robustintelligence.com/">Robust Intelligence</a></li><li><a href="https://www.robustintelligence.com/blog">Robust Intelligence Blog</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/yaronsinger" img="https://img.transistorcdn.com/c-IrK29Ybpe66txMXbF3yau1VmSZrxlIQdAoYeW2vZg/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wMjUx/OTgzZTllYjllZjJi/NTM4YWI2ODk4MGNl/YWJiYy5wbmc.jpg">Yaron Singer</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>🌍 AI in Africa - Radiant Earth</title>
      <itunes:episode>162</itunes:episode>
      <podcast:episode>162</podcast:episode>
      <itunes:title>🌍 AI in Africa - Radiant Earth</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1552</guid>
      <link>https://share.transistor.fm/s/cb62bd49</link>
      <description>
        <![CDATA[<p>In the second of the “AI in Africa” spotlight episodes, we welcome guests from Radiant Earth to talk about machine learning for earth observation. They give us a glimpse into their amazing data and tooling for working with satellite imagery, and they talk about use cases including crop identification and tropical storm wind speed estimation.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://sloanreview.mit.edu/audio-series/me-myself-and-ai/">Me, Myself, and AI</a> – A podcast on artificial intelligence and business produced by MIT Sloan Management Review and Boston Consulting Group. Each episode, Sam Ransbotham and Sheervin Khodabandeh talk to AI leaders from organizations like Nasdaq, Spotify, Starbucks, and IKEA. Me, Myself, and AI is available wherever you get your podcasts. Just search Me, Myself, and AI. </li><li><a href="https://fastly.com/podcast">Fastly</a> – <strong>Compute@Edge free for 3 months</strong> — plus up to $100k a month in credit for an additional 6 months. Fastly’s Edge cloud network and modern approach to serverless computing allows you to deploy and run complex logic at the edge with unparalleled security and blazing fast computational speed. <a href="https://fastly.com/podcast">Head to fastly.com/podcast</a> to take advantage of this limited time promotion! </li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – <strong>Fundamentally change how you deliver software.</strong> Innovate faster, deploy fearlessly, and make each release a masterpiece. </li></ul><p>Featuring:</p><ul><li>Hamed Alemohammad – <a href="https://x.com/HamedAlemo">X</a></li><li>Abba Barde – <a href="https://www.linkedin.com/in/abba-barde-81326655">LinkedIn</a>, <a href="https://x.com/abbabarde">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li><li>Joyce Nabende – <a href="https://x.com/j_nabende">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.radiant.earth/">Radiant Earth</a></li><li><a href="https://medium.com/radiant-earth-insights/available-now-machine-learning-for-earth-observation-online-course-951a0f67f0d2">ML for Earth Observation online course</a></li><li><a href="https://zindi.africa/competitions/radiant-earth-spot-the-crop-challenge/leaderboard">“Spot the crop” challenge</a></li><li><a href="https://www.openforgood.info/#Start">Open for Good Alliance</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In the second of the “AI in Africa” spotlight episodes, we welcome guests from Radiant Earth to talk about machine learning for earth observation. They give us a glimpse into their amazing data and tooling for working with satellite imagery, and they talk about use cases including crop identification and tropical storm wind speed estimation.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://sloanreview.mit.edu/audio-series/me-myself-and-ai/">Me, Myself, and AI</a> – A podcast on artificial intelligence and business produced by MIT Sloan Management Review and Boston Consulting Group. Each episode, Sam Ransbotham and Sheervin Khodabandeh talk to AI leaders from organizations like Nasdaq, Spotify, Starbucks, and IKEA. Me, Myself, and AI is available wherever you get your podcasts. Just search Me, Myself, and AI. </li><li><a href="https://fastly.com/podcast">Fastly</a> – <strong>Compute@Edge free for 3 months</strong> — plus up to $100k a month in credit for an additional 6 months. Fastly’s Edge cloud network and modern approach to serverless computing allows you to deploy and run complex logic at the edge with unparalleled security and blazing fast computational speed. <a href="https://fastly.com/podcast">Head to fastly.com/podcast</a> to take advantage of this limited time promotion! </li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – <strong>Fundamentally change how you deliver software.</strong> Innovate faster, deploy fearlessly, and make each release a masterpiece. </li></ul><p>Featuring:</p><ul><li>Hamed Alemohammad – <a href="https://x.com/HamedAlemo">X</a></li><li>Abba Barde – <a href="https://www.linkedin.com/in/abba-barde-81326655">LinkedIn</a>, <a href="https://x.com/abbabarde">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li><li>Joyce Nabende – <a href="https://x.com/j_nabende">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.radiant.earth/">Radiant Earth</a></li><li><a href="https://medium.com/radiant-earth-insights/available-now-machine-learning-for-earth-observation-online-course-951a0f67f0d2">ML for Earth Observation online course</a></li><li><a href="https://zindi.africa/competitions/radiant-earth-spot-the-crop-challenge/leaderboard">“Spot the crop” challenge</a></li><li><a href="https://www.openforgood.info/#Start">Open for Good Alliance</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 05 Jan 2022 09:30:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/cb62bd49/d19ac8d7.mp3" length="42191032" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2587</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In the second of the “AI in Africa” spotlight episodes, we welcome guests from Radiant Earth to talk about machine learning for earth observation. They give us a glimpse into their amazing data and tooling for working with satellite imagery, and they talk about use cases including crop identification and tropical storm wind speed estimation.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://sloanreview.mit.edu/audio-series/me-myself-and-ai/">Me, Myself, and AI</a> – A podcast on artificial intelligence and business produced by MIT Sloan Management Review and Boston Consulting Group. Each episode, Sam Ransbotham and Sheervin Khodabandeh talk to AI leaders from organizations like Nasdaq, Spotify, Starbucks, and IKEA. Me, Myself, and AI is available wherever you get your podcasts. Just search Me, Myself, and AI. </li><li><a href="https://fastly.com/podcast">Fastly</a> – <strong>Compute@Edge free for 3 months</strong> — plus up to $100k a month in credit for an additional 6 months. Fastly’s Edge cloud network and modern approach to serverless computing allows you to deploy and run complex logic at the edge with unparalleled security and blazing fast computational speed. <a href="https://fastly.com/podcast">Head to fastly.com/podcast</a> to take advantage of this limited time promotion! </li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – <strong>Fundamentally change how you deliver software.</strong> Innovate faster, deploy fearlessly, and make each release a masterpiece. </li></ul><p>Featuring:</p><ul><li>Hamed Alemohammad – <a href="https://x.com/HamedAlemo">X</a></li><li>Abba Barde – <a href="https://www.linkedin.com/in/abba-barde-81326655">LinkedIn</a>, <a href="https://x.com/abbabarde">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li><li>Joyce Nabende – <a href="https://x.com/j_nabende">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.radiant.earth/">Radiant Earth</a></li><li><a href="https://medium.com/radiant-earth-insights/available-now-machine-learning-for-earth-observation-online-course-951a0f67f0d2">ML for Earth Observation online course</a></li><li><a href="https://zindi.africa/competitions/radiant-earth-spot-the-crop-challenge/leaderboard">“Spot the crop” challenge</a></li><li><a href="https://www.openforgood.info/#Start">Open for Good Alliance</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/hamedalemo" img="https://img.transistorcdn.com/6E_V72nMam4laOXBWmrj6vtMuqkI9DTxAgWlS_Oq7tA/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81OWRh/NzdhZTFlZGE5YTgy/N2RkZTFlY2RkZDk5/ZWJjYS5wbmc.jpg">Hamed Alemohammad</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/abbabarde" img="https://img.transistorcdn.com/LBznHValygJJpKx-RNqngSeDC9H8u6bqDKF80wW010M/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zYjdj/ODBlOGM2YjAyMTNj/NzIyZTBkOTExNDgy/N2E2Zi5qcGVn.jpg">Abba Barde</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/j_nabende" img="https://img.transistorcdn.com/M4EbanLd0pky0OK1rcCJINyKoLYfkHUb4iv1lnJqOYI/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kOWI4/YWQ3MWViYjk0NDg3/NmNjYzYwN2MxNzlm/MGVhMS5qcGc.jpg">Joyce Nabende</podcast:person>
    </item>
    <item>
      <title>OpenAI and Hugging Face tooling</title>
      <itunes:episode>161</itunes:episode>
      <podcast:episode>161</podcast:episode>
      <itunes:title>OpenAI and Hugging Face tooling</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1546</guid>
      <link>https://share.transistor.fm/s/695b726b</link>
      <description>
        <![CDATA[<p>The time has come! OpenAI’s API is now available with no waitlist. Chris and Daniel dig into the API and playground during this episode, and they also discuss some of the latest tool from Hugging Face (including new reinforcement learning environments). Finally, Daniel gives an update on how he is building out infrastructure for a new AI team.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://sloanreview.mit.edu/audio-series/me-myself-and-ai/">Me, Myself, and AI</a> – A podcast on artificial intelligence and business produced by MIT Sloan Management Review and Boston Consulting Group. Each episode, Sam Ransbotham and Sheervin Khodabandeh talk to AI leaders from organizations like Nasdaq, Spotify, Starbucks, and IKEA. Me, Myself, and AI is available wherever you get your podcasts. Just search Me, Myself, and AI. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://openai.com/blog/api-no-waitlist/">OpenAI’s API Now Available with No Waitlist</a></li><li><a href="https://huggingface.co/spaces/ThomasSimonini/SnowballFight">Hugging Face SnowballFight beta</a></li><li><a href="https://huggingface.co/blog/data-measurements-tool">Hugging Face Data Measurements Tool</a></li><li><a href="https://pandastutor.com/">Pandas Tutor</a></li><li><a href="https://clear.ml/">ClearML</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>The time has come! OpenAI’s API is now available with no waitlist. Chris and Daniel dig into the API and playground during this episode, and they also discuss some of the latest tool from Hugging Face (including new reinforcement learning environments). Finally, Daniel gives an update on how he is building out infrastructure for a new AI team.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://sloanreview.mit.edu/audio-series/me-myself-and-ai/">Me, Myself, and AI</a> – A podcast on artificial intelligence and business produced by MIT Sloan Management Review and Boston Consulting Group. Each episode, Sam Ransbotham and Sheervin Khodabandeh talk to AI leaders from organizations like Nasdaq, Spotify, Starbucks, and IKEA. Me, Myself, and AI is available wherever you get your podcasts. Just search Me, Myself, and AI. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://openai.com/blog/api-no-waitlist/">OpenAI’s API Now Available with No Waitlist</a></li><li><a href="https://huggingface.co/spaces/ThomasSimonini/SnowballFight">Hugging Face SnowballFight beta</a></li><li><a href="https://huggingface.co/blog/data-measurements-tool">Hugging Face Data Measurements Tool</a></li><li><a href="https://pandastutor.com/">Pandas Tutor</a></li><li><a href="https://clear.ml/">ClearML</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 14 Dec 2021 15:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/695b726b/2dd048ae.mp3" length="48793071" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3034</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>The time has come! OpenAI’s API is now available with no waitlist. Chris and Daniel dig into the API and playground during this episode, and they also discuss some of the latest tool from Hugging Face (including new reinforcement learning environments). Finally, Daniel gives an update on how he is building out infrastructure for a new AI team.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://sloanreview.mit.edu/audio-series/me-myself-and-ai/">Me, Myself, and AI</a> – A podcast on artificial intelligence and business produced by MIT Sloan Management Review and Boston Consulting Group. Each episode, Sam Ransbotham and Sheervin Khodabandeh talk to AI leaders from organizations like Nasdaq, Spotify, Starbucks, and IKEA. Me, Myself, and AI is available wherever you get your podcasts. Just search Me, Myself, and AI. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://openai.com/blog/api-no-waitlist/">OpenAI’s API Now Available with No Waitlist</a></li><li><a href="https://huggingface.co/spaces/ThomasSimonini/SnowballFight">Hugging Face SnowballFight beta</a></li><li><a href="https://huggingface.co/blog/data-measurements-tool">Hugging Face Data Measurements Tool</a></li><li><a href="https://pandastutor.com/">Pandas Tutor</a></li><li><a href="https://clear.ml/">ClearML</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Friendly federated learning 🌼</title>
      <itunes:episode>160</itunes:episode>
      <podcast:episode>160</podcast:episode>
      <itunes:title>Friendly federated learning 🌼</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1545</guid>
      <link>https://share.transistor.fm/s/9cf347ca</link>
      <description>
        <![CDATA[<p>This episode is a follow up to our recent Fully Connected <a href="https://practicalai.fm/153">show discussing federated learning</a>. In that previous discussion, we mentioned <a href="https://flower.dev/">Flower</a> (a “friendly” federated learning framework). Well, one of the creators of Flower, Daniel Beutel, agreed to join us on the show to discuss the project (and federated learning more broadly)! The result is a really interesting and motivating discussion of ML, privacy, distributed training, and open source AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://sloanreview.mit.edu/audio-series/me-myself-and-ai/">Me, Myself, and AI</a> – A podcast on artificial intelligence and business produced by MIT Sloan Management Review and Boston Consulting Group. Each episode, Sam Ransbotham and Sheervin Khodabandeh talk to AI leaders from organizations like Nasdaq, Spotify, Starbucks, and IKEA. Me, Myself, and AI is available wherever you get your podcasts. Just search Me, Myself, and AI. </li></ul><p>Featuring:</p><ul><li>Daniel Beutel – <a href="https://github.com/danieljanes">GitHub</a>, <a href="https://x.com/daniel_janes">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://practicalai.fm/153">Our FC episode on federated learning</a></li><li><a href="https://flower.dev/">Flower</a></li><li><a href="https://flower.dev/blog">Flower Blog</a></li><li><a href="https://flower.dev/conf/flower-summit-2021">Flower Conference (with videos)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>This episode is a follow up to our recent Fully Connected <a href="https://practicalai.fm/153">show discussing federated learning</a>. In that previous discussion, we mentioned <a href="https://flower.dev/">Flower</a> (a “friendly” federated learning framework). Well, one of the creators of Flower, Daniel Beutel, agreed to join us on the show to discuss the project (and federated learning more broadly)! The result is a really interesting and motivating discussion of ML, privacy, distributed training, and open source AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://sloanreview.mit.edu/audio-series/me-myself-and-ai/">Me, Myself, and AI</a> – A podcast on artificial intelligence and business produced by MIT Sloan Management Review and Boston Consulting Group. Each episode, Sam Ransbotham and Sheervin Khodabandeh talk to AI leaders from organizations like Nasdaq, Spotify, Starbucks, and IKEA. Me, Myself, and AI is available wherever you get your podcasts. Just search Me, Myself, and AI. </li></ul><p>Featuring:</p><ul><li>Daniel Beutel – <a href="https://github.com/danieljanes">GitHub</a>, <a href="https://x.com/daniel_janes">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://practicalai.fm/153">Our FC episode on federated learning</a></li><li><a href="https://flower.dev/">Flower</a></li><li><a href="https://flower.dev/blog">Flower Blog</a></li><li><a href="https://flower.dev/conf/flower-summit-2021">Flower Conference (with videos)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 07 Dec 2021 11:15:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/9cf347ca/baf3cc25.mp3" length="45558992" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2795</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>This episode is a follow up to our recent Fully Connected <a href="https://practicalai.fm/153">show discussing federated learning</a>. In that previous discussion, we mentioned <a href="https://flower.dev/">Flower</a> (a “friendly” federated learning framework). Well, one of the creators of Flower, Daniel Beutel, agreed to join us on the show to discuss the project (and federated learning more broadly)! The result is a really interesting and motivating discussion of ML, privacy, distributed training, and open source AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://sloanreview.mit.edu/audio-series/me-myself-and-ai/">Me, Myself, and AI</a> – A podcast on artificial intelligence and business produced by MIT Sloan Management Review and Boston Consulting Group. Each episode, Sam Ransbotham and Sheervin Khodabandeh talk to AI leaders from organizations like Nasdaq, Spotify, Starbucks, and IKEA. Me, Myself, and AI is available wherever you get your podcasts. Just search Me, Myself, and AI. </li></ul><p>Featuring:</p><ul><li>Daniel Beutel – <a href="https://github.com/danieljanes">GitHub</a>, <a href="https://x.com/daniel_janes">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://practicalai.fm/153">Our FC episode on federated learning</a></li><li><a href="https://flower.dev/">Flower</a></li><li><a href="https://flower.dev/blog">Flower Blog</a></li><li><a href="https://flower.dev/conf/flower-summit-2021">Flower Conference (with videos)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/danieljanes" img="https://img.transistorcdn.com/iJPxNhTXp4Obf60EDHG8OuWkCMChIAPA2LiV7jNQTns/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kODRh/ZGQ4OWE5OTcyYjll/N2IxMzNjOWIzMmVj/MGRhZi5qcGc.jpg">Daniel Beutel</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Technology as a force for good</title>
      <itunes:title>Technology as a force for good</itunes:title>
      <itunes:episodeType>bonus</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1543</guid>
      <link>https://practicalai.fm/takeover-mmai-304</link>
      <description>
        <![CDATA[<p>Here’s a bonus episode this week from our friends behind <a href="https://sloanreview.mit.edu/audio-series/me-myself-and-ai/">Me, Myself, and AI</a> — a podcast on artificial intelligence and business, and produced by MIT Sloan Management Review and Boston Consulting Group. We partnered with them to help promote their awesome podcast.</p><p>We hand picked this full-length episode to share with you because of its focus on using technology as a force for good, something we’re very passionate about. This episode features, Paula Goldman, Chief Ethical and Humane Use Officer at Salesforce, and the conversation touches on some interesting topics around the role tech companies play in society at large.</p><p><br></p><p>Featuring:</p><ul><li>Paula Goldman – <a href="https://www.salesforce.com/">Website</a>, <a href="https://www.linkedin.com/in/paula-goldman-b79ba12">LinkedIn</a>, <a href="https://x.com/pdgoldman">X</a></li><li>Sam Ransbotham – <a href="https://x.com/ransbotham">X</a></li><li>Shervin Khodabandeh – <a href="https://www.bcg.com/about/people/experts/shervin-khodabandeh">Website</a>, <a href="https://www.linkedin.com/in/shervinkhodabandeh">LinkedIn</a></li></ul><p>Show Notes:</p><p>Subscribe to <a href="https://sloanreview.mit.edu/audio-series/me-myself-and-ai/">Me, Myself, and AI</a> on <a href="https://podcasts.apple.com/us/podcast/me-myself-and-ai/id1533115958">Apple Podcasts</a>, <a href="https://open.spotify.com/show/7ysPBcYtOPVgI6W5an6lup">Spotify</a>, or <a href="https://podcasts.google.com/feed/aHR0cHM6Ly9tZW15c2VsZmFuZGFpLmxpYnN5bi5jb20vcnNz">Google Podcasts</a>.</p><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Here’s a bonus episode this week from our friends behind <a href="https://sloanreview.mit.edu/audio-series/me-myself-and-ai/">Me, Myself, and AI</a> — a podcast on artificial intelligence and business, and produced by MIT Sloan Management Review and Boston Consulting Group. We partnered with them to help promote their awesome podcast.</p><p>We hand picked this full-length episode to share with you because of its focus on using technology as a force for good, something we’re very passionate about. This episode features, Paula Goldman, Chief Ethical and Humane Use Officer at Salesforce, and the conversation touches on some interesting topics around the role tech companies play in society at large.</p><p><br></p><p>Featuring:</p><ul><li>Paula Goldman – <a href="https://www.salesforce.com/">Website</a>, <a href="https://www.linkedin.com/in/paula-goldman-b79ba12">LinkedIn</a>, <a href="https://x.com/pdgoldman">X</a></li><li>Sam Ransbotham – <a href="https://x.com/ransbotham">X</a></li><li>Shervin Khodabandeh – <a href="https://www.bcg.com/about/people/experts/shervin-khodabandeh">Website</a>, <a href="https://www.linkedin.com/in/shervinkhodabandeh">LinkedIn</a></li></ul><p>Show Notes:</p><p>Subscribe to <a href="https://sloanreview.mit.edu/audio-series/me-myself-and-ai/">Me, Myself, and AI</a> on <a href="https://podcasts.apple.com/us/podcast/me-myself-and-ai/id1533115958">Apple Podcasts</a>, <a href="https://open.spotify.com/show/7ysPBcYtOPVgI6W5an6lup">Spotify</a>, or <a href="https://podcasts.google.com/feed/aHR0cHM6Ly9tZW15c2VsZmFuZGFpLmxpYnN5bi5jb20vcnNz">Google Podcasts</a>.</p><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Thu, 02 Dec 2021 16:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/0069333a/699dd0e2.mp3" length="37104423" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>1536</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Here’s a bonus episode this week from our friends behind <a href="https://sloanreview.mit.edu/audio-series/me-myself-and-ai/">Me, Myself, and AI</a> — a podcast on artificial intelligence and business, and produced by MIT Sloan Management Review and Boston Consulting Group. We partnered with them to help promote their awesome podcast.</p><p>We hand picked this full-length episode to share with you because of its focus on using technology as a force for good, something we’re very passionate about. This episode features, Paula Goldman, Chief Ethical and Humane Use Officer at Salesforce, and the conversation touches on some interesting topics around the role tech companies play in society at large.</p><p><br></p><p>Featuring:</p><ul><li>Paula Goldman – <a href="https://www.salesforce.com/">Website</a>, <a href="https://www.linkedin.com/in/paula-goldman-b79ba12">LinkedIn</a>, <a href="https://x.com/pdgoldman">X</a></li><li>Sam Ransbotham – <a href="https://x.com/ransbotham">X</a></li><li>Shervin Khodabandeh – <a href="https://www.bcg.com/about/people/experts/shervin-khodabandeh">Website</a>, <a href="https://www.linkedin.com/in/shervinkhodabandeh">LinkedIn</a></li></ul><p>Show Notes:</p><p>Subscribe to <a href="https://sloanreview.mit.edu/audio-series/me-myself-and-ai/">Me, Myself, and AI</a> on <a href="https://podcasts.apple.com/us/podcast/me-myself-and-ai/id1533115958">Apple Podcasts</a>, <a href="https://open.spotify.com/show/7ysPBcYtOPVgI6W5an6lup">Spotify</a>, or <a href="https://podcasts.google.com/feed/aHR0cHM6Ly9tZW15c2VsZmFuZGFpLmxpYnN5bi5jb20vcnNz">Google Podcasts</a>.</p><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/ransbotham" img="https://img.transistorcdn.com/FU0PM29I1zxe3evNMNl33kyyJDP8v3eIAWpmrAeLz04/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kZTZj/YWZiZDU4YTYyMzcw/ZmE1NzBhOGZiYjMx/NTljOC5qcGVn.jpg">Sam Ransbotham</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/shervinkhodabandeh" img="https://img.transistorcdn.com/H22fB_oqeltewTWx1sssW6h9f8YsouXKoSwZuqBPIwE/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9iZDMw/MTk2YjU1MjRkY2M2/ODlhNGJmY2UxMTQ3/YTMxOC5qcGVn.jpg">Shervin Khodabandeh</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/pdgoldman" img="https://img.transistorcdn.com/TCTb_Qg8zC739eQDLQbYXzl6XjHBex7fcUCMTFZPmfk/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jYTQ3/MTI5MzZjNTQ5MmM5/MGY0OTMyNzMwY2E0/MzI1ZC5qcGc.jpg">Paula Goldman</podcast:person>
    </item>
    <item>
      <title>AI-generated code with OpenAI Codex</title>
      <itunes:episode>159</itunes:episode>
      <podcast:episode>159</podcast:episode>
      <itunes:title>AI-generated code with OpenAI Codex</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1536</guid>
      <link>https://share.transistor.fm/s/7c0d66df</link>
      <description>
        <![CDATA[<p>Recently, GitHub released <a href="https://copilot.github.com/">Copilot</a>, which is an amazing AI pair programmer powered by OpenAI’s Codex model. In this episode, Natalie Pistunovich tells us all about Codex and helps us understand where it fits in our development workflow. We also discuss MLOps and how AI is influencing software engineering more generally.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://imerit.net/dataops">iMerit ML DataOps Summit</a> – A FREE virtual event on December 2nd, 2021! iMerit is excited to gather 1000+ senior leaders at the forefront of deploying data solutions that power machine learning and artificial intelligence. Learn more and register to attend at <a href="https://imerit.net/dataops">imerit.net/dataops</a></li><li><a href="https://fastly.com/podcast">Fastly</a> – <strong>Compute@Edge free for 3 months</strong> — plus up to $100k a month in credit for an additional 6 months. Fastly’s Edge cloud network and modern approach to serverless computing allows you to deploy and run complex logic at the edge with unparalleled security and blazing fast computational speed. <a href="https://fastly.com/podcast">Head to fastly.com/podcast</a> to take advantage of this limited time promotion! </li></ul><p>Featuring:</p><ul><li>Natalie Pistunovich – <a href="https://github.com/Pisush">GitHub</a>, <a href="https://x.com/nataliepis">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://copilot.github.com/">GitHub Copilot</a></li><li><a href="http://beta.openai.com/codex-waitlist">OpenAI Codex Beta</a></li><li><a href="https://github.com/Pisush/gc-ml-infra-workshop">Previous GopherCon Workshop: Infrastructure for a Fraud Detection ML Application</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Recently, GitHub released <a href="https://copilot.github.com/">Copilot</a>, which is an amazing AI pair programmer powered by OpenAI’s Codex model. In this episode, Natalie Pistunovich tells us all about Codex and helps us understand where it fits in our development workflow. We also discuss MLOps and how AI is influencing software engineering more generally.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://imerit.net/dataops">iMerit ML DataOps Summit</a> – A FREE virtual event on December 2nd, 2021! iMerit is excited to gather 1000+ senior leaders at the forefront of deploying data solutions that power machine learning and artificial intelligence. Learn more and register to attend at <a href="https://imerit.net/dataops">imerit.net/dataops</a></li><li><a href="https://fastly.com/podcast">Fastly</a> – <strong>Compute@Edge free for 3 months</strong> — plus up to $100k a month in credit for an additional 6 months. Fastly’s Edge cloud network and modern approach to serverless computing allows you to deploy and run complex logic at the edge with unparalleled security and blazing fast computational speed. <a href="https://fastly.com/podcast">Head to fastly.com/podcast</a> to take advantage of this limited time promotion! </li></ul><p>Featuring:</p><ul><li>Natalie Pistunovich – <a href="https://github.com/Pisush">GitHub</a>, <a href="https://x.com/nataliepis">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://copilot.github.com/">GitHub Copilot</a></li><li><a href="http://beta.openai.com/codex-waitlist">OpenAI Codex Beta</a></li><li><a href="https://github.com/Pisush/gc-ml-infra-workshop">Previous GopherCon Workshop: Infrastructure for a Fraud Detection ML Application</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 30 Nov 2021 09:15:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/7c0d66df/14ae625f.mp3" length="44999263" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2797</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Recently, GitHub released <a href="https://copilot.github.com/">Copilot</a>, which is an amazing AI pair programmer powered by OpenAI’s Codex model. In this episode, Natalie Pistunovich tells us all about Codex and helps us understand where it fits in our development workflow. We also discuss MLOps and how AI is influencing software engineering more generally.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://imerit.net/dataops">iMerit ML DataOps Summit</a> – A FREE virtual event on December 2nd, 2021! iMerit is excited to gather 1000+ senior leaders at the forefront of deploying data solutions that power machine learning and artificial intelligence. Learn more and register to attend at <a href="https://imerit.net/dataops">imerit.net/dataops</a></li><li><a href="https://fastly.com/podcast">Fastly</a> – <strong>Compute@Edge free for 3 months</strong> — plus up to $100k a month in credit for an additional 6 months. Fastly’s Edge cloud network and modern approach to serverless computing allows you to deploy and run complex logic at the edge with unparalleled security and blazing fast computational speed. <a href="https://fastly.com/podcast">Head to fastly.com/podcast</a> to take advantage of this limited time promotion! </li></ul><p>Featuring:</p><ul><li>Natalie Pistunovich – <a href="https://github.com/Pisush">GitHub</a>, <a href="https://x.com/nataliepis">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://copilot.github.com/">GitHub Copilot</a></li><li><a href="http://beta.openai.com/codex-waitlist">OpenAI Codex Beta</a></li><li><a href="https://github.com/Pisush/gc-ml-infra-workshop">Previous GopherCon Workshop: Infrastructure for a Fraud Detection ML Application</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/nataliepis" img="https://img.transistorcdn.com/ffMRU8EOUZP6BxnBPUGcuDAftK-jz9vPeQq0V9HOTRU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hNzA0/YWQzN2JlMzRjNzcz/M2NiMGMyYzAwYjg5/YjUzOS5qcGVn.jpg">Natalie Pistunovich</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Zero-shot multitask learning</title>
      <itunes:episode>158</itunes:episode>
      <podcast:episode>158</podcast:episode>
      <itunes:title>Zero-shot multitask learning</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1529</guid>
      <link>https://share.transistor.fm/s/8b358e66</link>
      <description>
        <![CDATA[<p>In this Fully-Connected episode, Daniel and Chris ponder whether in-person AI conferences are on the verge of making a post-pandemic comeback. Then on to BigScience from Hugging Face, a year-long research workshop on large multilingual models and datasets. Specifically they dive into the T0, a series of natural language processing (NLP) AI models specifically trained for researching zero-shot multitask learning. Daniel provides a brief tour of the possible with the T0 family. They finish up with a couple of new learning resources.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://imerit.net/dataops">iMerit ML DataOps Summit</a> – A FREE virtual event on December 2nd, 2021! iMerit is excited to gather 1000+ senior leaders at the forefront of deploying data solutions that power machine learning and artificial intelligence. Learn more and register to attend at <a href="https://imerit.net/dataops">imerit.net/dataops</a></li><li><a href="https://fastly.com/podcast">Fastly</a> – <strong>Compute@Edge free for 3 months</strong> — plus up to $100k a month in credit for an additional 6 months. Fastly’s Edge cloud network and modern approach to serverless computing allows you to deploy and run complex logic at the edge with unparalleled security and blazing fast computational speed. <a href="https://fastly.com/podcast">Head to fastly.com/podcast</a> to take advantage of this limited time promotion! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.infoq.com/news/2021/11/t0-multitask-nlp">InfoQ: BigScience Research Workshop Releases AI Language Model T0</a></li><li><a href="https://huggingface.co/bigscience/T0pp">Hugging Face: bigscience / T0pp</a></li><li><a href="https://arxiv.org/abs/2110.08207">Multitask Prompted Training Enables Zero-Shot Task Generalization</a></li><li><a href="https://spectrum.ieee.org/what-is-deep-learning">IEEE Specturm: How Deep Learning Works</a></li><li><a href="https://builtin.com/machine-learning/activation-functions-deep-learning">5 Deep Learning Activation Functions You Need to Know</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this Fully-Connected episode, Daniel and Chris ponder whether in-person AI conferences are on the verge of making a post-pandemic comeback. Then on to BigScience from Hugging Face, a year-long research workshop on large multilingual models and datasets. Specifically they dive into the T0, a series of natural language processing (NLP) AI models specifically trained for researching zero-shot multitask learning. Daniel provides a brief tour of the possible with the T0 family. They finish up with a couple of new learning resources.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://imerit.net/dataops">iMerit ML DataOps Summit</a> – A FREE virtual event on December 2nd, 2021! iMerit is excited to gather 1000+ senior leaders at the forefront of deploying data solutions that power machine learning and artificial intelligence. Learn more and register to attend at <a href="https://imerit.net/dataops">imerit.net/dataops</a></li><li><a href="https://fastly.com/podcast">Fastly</a> – <strong>Compute@Edge free for 3 months</strong> — plus up to $100k a month in credit for an additional 6 months. Fastly’s Edge cloud network and modern approach to serverless computing allows you to deploy and run complex logic at the edge with unparalleled security and blazing fast computational speed. <a href="https://fastly.com/podcast">Head to fastly.com/podcast</a> to take advantage of this limited time promotion! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.infoq.com/news/2021/11/t0-multitask-nlp">InfoQ: BigScience Research Workshop Releases AI Language Model T0</a></li><li><a href="https://huggingface.co/bigscience/T0pp">Hugging Face: bigscience / T0pp</a></li><li><a href="https://arxiv.org/abs/2110.08207">Multitask Prompted Training Enables Zero-Shot Task Generalization</a></li><li><a href="https://spectrum.ieee.org/what-is-deep-learning">IEEE Specturm: How Deep Learning Works</a></li><li><a href="https://builtin.com/machine-learning/activation-functions-deep-learning">5 Deep Learning Activation Functions You Need to Know</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 23 Nov 2021 22:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/8b358e66/571d073b.mp3" length="45069522" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2779</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this Fully-Connected episode, Daniel and Chris ponder whether in-person AI conferences are on the verge of making a post-pandemic comeback. Then on to BigScience from Hugging Face, a year-long research workshop on large multilingual models and datasets. Specifically they dive into the T0, a series of natural language processing (NLP) AI models specifically trained for researching zero-shot multitask learning. Daniel provides a brief tour of the possible with the T0 family. They finish up with a couple of new learning resources.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://imerit.net/dataops">iMerit ML DataOps Summit</a> – A FREE virtual event on December 2nd, 2021! iMerit is excited to gather 1000+ senior leaders at the forefront of deploying data solutions that power machine learning and artificial intelligence. Learn more and register to attend at <a href="https://imerit.net/dataops">imerit.net/dataops</a></li><li><a href="https://fastly.com/podcast">Fastly</a> – <strong>Compute@Edge free for 3 months</strong> — plus up to $100k a month in credit for an additional 6 months. Fastly’s Edge cloud network and modern approach to serverless computing allows you to deploy and run complex logic at the edge with unparalleled security and blazing fast computational speed. <a href="https://fastly.com/podcast">Head to fastly.com/podcast</a> to take advantage of this limited time promotion! </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.infoq.com/news/2021/11/t0-multitask-nlp">InfoQ: BigScience Research Workshop Releases AI Language Model T0</a></li><li><a href="https://huggingface.co/bigscience/T0pp">Hugging Face: bigscience / T0pp</a></li><li><a href="https://arxiv.org/abs/2110.08207">Multitask Prompted Training Enables Zero-Shot Task Generalization</a></li><li><a href="https://spectrum.ieee.org/what-is-deep-learning">IEEE Specturm: How Deep Learning Works</a></li><li><a href="https://builtin.com/machine-learning/activation-functions-deep-learning">5 Deep Learning Activation Functions You Need to Know</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Analyzing the 2021 AI Index Report</title>
      <itunes:episode>157</itunes:episode>
      <podcast:episode>157</podcast:episode>
      <itunes:title>Analyzing the 2021 AI Index Report</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1520</guid>
      <link>https://share.transistor.fm/s/b630a894</link>
      <description>
        <![CDATA[<p>Each year we discuss the latest insights from the Stanford Institute for Human-Centered Artificial Intelligence (HAI), and this year is no different. Daniel and Chris delve into key findings and discuss in this Fully-Connected episode. They also check out a study called ‘Delphi: Towards Machine Ethics and Norms’, about how to integrate ethics and morals into AI models.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://imerit.net/dataops">iMerit ML DataOps Summit</a> – A FREE virtual event on December 2nd, 2021! iMerit is excited to gather 1000+ senior leaders at the forefront of deploying data solutions that power machine learning and artificial intelligence. Learn more and register to attend at <a href="https://imerit.net/dataops">imerit.net/dataops</a></li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://aiindex.stanford.edu/report">The AI Index Report: Measuring Trends in Artificial Intelligence</a></li><li><a href="https://spectrum.ieee.org/the-state-of-ai-in-15-graphs/number-of-ai-journals">IEEE Spectrum: 15 Graphs You Need to See to Understand AI in 2021</a></li><li><a href="https://arxiv.org/abs/2110.07574">Delphi: Towards Machine Ethics and Norms</a></li><li><a href="https://spectrum.ieee.org/ai-ethics-machines-learn-good">IEEE Spectrum: Machines Learn Good From Commonsense Norm Bank</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Each year we discuss the latest insights from the Stanford Institute for Human-Centered Artificial Intelligence (HAI), and this year is no different. Daniel and Chris delve into key findings and discuss in this Fully-Connected episode. They also check out a study called ‘Delphi: Towards Machine Ethics and Norms’, about how to integrate ethics and morals into AI models.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://imerit.net/dataops">iMerit ML DataOps Summit</a> – A FREE virtual event on December 2nd, 2021! iMerit is excited to gather 1000+ senior leaders at the forefront of deploying data solutions that power machine learning and artificial intelligence. Learn more and register to attend at <a href="https://imerit.net/dataops">imerit.net/dataops</a></li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://aiindex.stanford.edu/report">The AI Index Report: Measuring Trends in Artificial Intelligence</a></li><li><a href="https://spectrum.ieee.org/the-state-of-ai-in-15-graphs/number-of-ai-journals">IEEE Spectrum: 15 Graphs You Need to See to Understand AI in 2021</a></li><li><a href="https://arxiv.org/abs/2110.07574">Delphi: Towards Machine Ethics and Norms</a></li><li><a href="https://spectrum.ieee.org/ai-ethics-machines-learn-good">IEEE Spectrum: Machines Learn Good From Commonsense Norm Bank</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 10 Nov 2021 15:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/b630a894/c6432011.mp3" length="44632340" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2775</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Each year we discuss the latest insights from the Stanford Institute for Human-Centered Artificial Intelligence (HAI), and this year is no different. Daniel and Chris delve into key findings and discuss in this Fully-Connected episode. They also check out a study called ‘Delphi: Towards Machine Ethics and Norms’, about how to integrate ethics and morals into AI models.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://imerit.net/dataops">iMerit ML DataOps Summit</a> – A FREE virtual event on December 2nd, 2021! iMerit is excited to gather 1000+ senior leaders at the forefront of deploying data solutions that power machine learning and artificial intelligence. Learn more and register to attend at <a href="https://imerit.net/dataops">imerit.net/dataops</a></li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://aiindex.stanford.edu/report">The AI Index Report: Measuring Trends in Artificial Intelligence</a></li><li><a href="https://spectrum.ieee.org/the-state-of-ai-in-15-graphs/number-of-ai-journals">IEEE Spectrum: 15 Graphs You Need to See to Understand AI in 2021</a></li><li><a href="https://arxiv.org/abs/2110.07574">Delphi: Towards Machine Ethics and Norms</a></li><li><a href="https://spectrum.ieee.org/ai-ethics-machines-learn-good">IEEE Spectrum: Machines Learn Good From Commonsense Norm Bank</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Photonic computing for AI acceleration</title>
      <itunes:episode>156</itunes:episode>
      <podcast:episode>156</podcast:episode>
      <itunes:title>Photonic computing for AI acceleration</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1512</guid>
      <link>https://share.transistor.fm/s/d60b2f55</link>
      <description>
        <![CDATA[<p>There are a lot of people trying to innovate in the area of specialized AI hardware, but most of them are doing it with traditional transistors. Lightmatter is doing something totally different. They’re building photonic computers that are more power efficient and faster for AI inference. Nick Harris joins us in this episode to bring us up to speed on all the details.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://trajectoryconf.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=the-changelog">LaunchDarkly / TrajectoryConf</a> – Software powers the world. LaunchDarkly empowers all teams to deliver and control their software. DevOps and feature management are reimagining how we build and release new products. On November 9th and 10th, LaunchDarkly is hosting Trajectory Conference 2021 — a two-day event for software innovators who want to break orbit, not systems. Trajectory is a fully-virtual conference that focuses on the technology, people, and processes that continuously deliver better user experiences and more powerful software. <a href="https://trajectoryconf.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=the-changelog">Register for free at trajectoryconf.com</a></li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – Linode is our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a> OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. </li></ul><p>Featuring:</p><ul><li>Nicholas Harris – <a href="https://nicholascharris.com">Website</a>, <a href="https://x.com/theanalognick">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://lightmatter.co/">Lightmatter</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>There are a lot of people trying to innovate in the area of specialized AI hardware, but most of them are doing it with traditional transistors. Lightmatter is doing something totally different. They’re building photonic computers that are more power efficient and faster for AI inference. Nick Harris joins us in this episode to bring us up to speed on all the details.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://trajectoryconf.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=the-changelog">LaunchDarkly / TrajectoryConf</a> – Software powers the world. LaunchDarkly empowers all teams to deliver and control their software. DevOps and feature management are reimagining how we build and release new products. On November 9th and 10th, LaunchDarkly is hosting Trajectory Conference 2021 — a two-day event for software innovators who want to break orbit, not systems. Trajectory is a fully-virtual conference that focuses on the technology, people, and processes that continuously deliver better user experiences and more powerful software. <a href="https://trajectoryconf.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=the-changelog">Register for free at trajectoryconf.com</a></li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – Linode is our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a> OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. </li></ul><p>Featuring:</p><ul><li>Nicholas Harris – <a href="https://nicholascharris.com">Website</a>, <a href="https://x.com/theanalognick">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://lightmatter.co/">Lightmatter</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 02 Nov 2021 16:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/d60b2f55/441b3cc8.mp3" length="43133861" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2661</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>There are a lot of people trying to innovate in the area of specialized AI hardware, but most of them are doing it with traditional transistors. Lightmatter is doing something totally different. They’re building photonic computers that are more power efficient and faster for AI inference. Nick Harris joins us in this episode to bring us up to speed on all the details.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://trajectoryconf.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=the-changelog">LaunchDarkly / TrajectoryConf</a> – Software powers the world. LaunchDarkly empowers all teams to deliver and control their software. DevOps and feature management are reimagining how we build and release new products. On November 9th and 10th, LaunchDarkly is hosting Trajectory Conference 2021 — a two-day event for software innovators who want to break orbit, not systems. Trajectory is a fully-virtual conference that focuses on the technology, people, and processes that continuously deliver better user experiences and more powerful software. <a href="https://trajectoryconf.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=the-changelog">Register for free at trajectoryconf.com</a></li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – Linode is our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a> OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. </li></ul><p>Featuring:</p><ul><li>Nicholas Harris – <a href="https://nicholascharris.com">Website</a>, <a href="https://x.com/theanalognick">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://lightmatter.co/">Lightmatter</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/nicholascharris" img="https://img.transistorcdn.com/UHZC1F0QFzS9PLhf4kUCVaBcdnvtSk9-3KDmps5tSPQ/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mMWJk/ZDBhZGZhZmVmZGYx/NDMzMGUxYjlhNTVk/ZmI3Yi5qcGVn.jpg">Nicholas Harris</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Eureka moments with natural language processing</title>
      <itunes:episode>155</itunes:episode>
      <podcast:episode>155</podcast:episode>
      <itunes:title>Eureka moments with natural language processing</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1507</guid>
      <link>https://share.transistor.fm/s/57322b1f</link>
      <description>
        <![CDATA[<p>When is the last time you had a eureka moment? Chris had a chat with Nicholas Mohnacky, CEO and Cofounder of bundleIQ, where they use natural language processing algorithms like GPT-3 to connect your Google GSuite with other personal data sources to find deeper connections, go beyond the obvious, and create eureka moments.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://trajectoryconf.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=the-changelog">LaunchDarkly / TrajectoryConf</a> – Software powers the world. LaunchDarkly empowers all teams to deliver and control their software. DevOps and feature management are reimagining how we build and release new products. On November 9th and 10th, LaunchDarkly is hosting Trajectory Conference 2021 — a two-day event for software innovators who want to break orbit, not systems. Trajectory is a fully-virtual conference that focuses on the technology, people, and processes that continuously deliver better user experiences and more powerful software. <a href="https://trajectoryconf.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=the-changelog">Register for free at trajectoryconf.com</a></li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – Linode is our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a> OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. </li></ul><p>Featuring:</p><ul><li>Nicholas Mohnacky – <a href="https://github.com/mohnacky">GitHub</a>, <a href="https://www.linkedin.com/in/mohnacky">LinkedIn</a>, <a href="https://x.com/mohnacky">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.bundleiq.com">bundleIQ</a></li><li><a href="https://www.linkedin.com/company/bundleiq">bundleIQ | LinkedIn</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>When is the last time you had a eureka moment? Chris had a chat with Nicholas Mohnacky, CEO and Cofounder of bundleIQ, where they use natural language processing algorithms like GPT-3 to connect your Google GSuite with other personal data sources to find deeper connections, go beyond the obvious, and create eureka moments.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://trajectoryconf.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=the-changelog">LaunchDarkly / TrajectoryConf</a> – Software powers the world. LaunchDarkly empowers all teams to deliver and control their software. DevOps and feature management are reimagining how we build and release new products. On November 9th and 10th, LaunchDarkly is hosting Trajectory Conference 2021 — a two-day event for software innovators who want to break orbit, not systems. Trajectory is a fully-virtual conference that focuses on the technology, people, and processes that continuously deliver better user experiences and more powerful software. <a href="https://trajectoryconf.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=the-changelog">Register for free at trajectoryconf.com</a></li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – Linode is our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a> OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. </li></ul><p>Featuring:</p><ul><li>Nicholas Mohnacky – <a href="https://github.com/mohnacky">GitHub</a>, <a href="https://www.linkedin.com/in/mohnacky">LinkedIn</a>, <a href="https://x.com/mohnacky">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.bundleiq.com">bundleIQ</a></li><li><a href="https://www.linkedin.com/company/bundleiq">bundleIQ | LinkedIn</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 26 Oct 2021 16:40:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/57322b1f/d48670a2.mp3" length="35862676" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2195</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>When is the last time you had a eureka moment? Chris had a chat with Nicholas Mohnacky, CEO and Cofounder of bundleIQ, where they use natural language processing algorithms like GPT-3 to connect your Google GSuite with other personal data sources to find deeper connections, go beyond the obvious, and create eureka moments.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://trajectoryconf.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=the-changelog">LaunchDarkly / TrajectoryConf</a> – Software powers the world. LaunchDarkly empowers all teams to deliver and control their software. DevOps and feature management are reimagining how we build and release new products. On November 9th and 10th, LaunchDarkly is hosting Trajectory Conference 2021 — a two-day event for software innovators who want to break orbit, not systems. Trajectory is a fully-virtual conference that focuses on the technology, people, and processes that continuously deliver better user experiences and more powerful software. <a href="https://trajectoryconf.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=the-changelog">Register for free at trajectoryconf.com</a></li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – Linode is our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a> OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. </li></ul><p>Featuring:</p><ul><li>Nicholas Mohnacky – <a href="https://github.com/mohnacky">GitHub</a>, <a href="https://www.linkedin.com/in/mohnacky">LinkedIn</a>, <a href="https://x.com/mohnacky">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.bundleiq.com">bundleIQ</a></li><li><a href="https://www.linkedin.com/company/bundleiq">bundleIQ | LinkedIn</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/mohnacky" img="https://img.transistorcdn.com/Rd200sjHyFsb4P41NSjdoFME0wsE8b_07UQWIO64auI/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81YzUw/ZjllNWE5MTk3YWE3/MmZlOWM5M2RkNTRk/ODliMS5qcGc.jpg">Nicholas Mohnacky</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
    </item>
    <item>
      <title>🌍 AI in Africa - Makerere AI Lab</title>
      <itunes:episode>154</itunes:episode>
      <podcast:episode>154</podcast:episode>
      <itunes:title>🌍 AI in Africa - Makerere AI Lab</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1501</guid>
      <link>https://share.transistor.fm/s/5b2fa5b3</link>
      <description>
        <![CDATA[<p>This is the first episode in a special series we are calling the “Spotlight on AI in Africa”. To kick things off, Joyce and Mutembesa from Makerere University’s AI Lab join us to talk about their amazing work in computer vision, natural language processing, and data collection. Their lab seeks out problems that matter in African communities, pairs those problems with appropriate data/tools, and works with the end users to ensure that solutions create real value.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – <strong>Ship fast. Rest easy.</strong> Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – Linode is our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a> OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. </li></ul><p>Featuring:</p><ul><li>Joyce Nabende – <a href="https://x.com/j_nabende">X</a></li><li>Mutembesa – <a href="https://x.com/mutembesa">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://air.ug/">Makerere AI Lab</a></li><li><a href="https://air.ug/projects/">Makerere AI Lab - projects</a></li><li><a href="https://www.openforgood.info/">Open for Good Alliance</a></li><li><a href="https://www.idrc.ca/en">International Development Research Centre - Canada</a></li><li><a href="https://www.giz.de/expertise/html/61982.html">FAIR Forward – Artificial Intelligence for All - GIZ</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>This is the first episode in a special series we are calling the “Spotlight on AI in Africa”. To kick things off, Joyce and Mutembesa from Makerere University’s AI Lab join us to talk about their amazing work in computer vision, natural language processing, and data collection. Their lab seeks out problems that matter in African communities, pairs those problems with appropriate data/tools, and works with the end users to ensure that solutions create real value.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – <strong>Ship fast. Rest easy.</strong> Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – Linode is our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a> OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. </li></ul><p>Featuring:</p><ul><li>Joyce Nabende – <a href="https://x.com/j_nabende">X</a></li><li>Mutembesa – <a href="https://x.com/mutembesa">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://air.ug/">Makerere AI Lab</a></li><li><a href="https://air.ug/projects/">Makerere AI Lab - projects</a></li><li><a href="https://www.openforgood.info/">Open for Good Alliance</a></li><li><a href="https://www.idrc.ca/en">International Development Research Centre - Canada</a></li><li><a href="https://www.giz.de/expertise/html/61982.html">FAIR Forward – Artificial Intelligence for All - GIZ</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 19 Oct 2021 16:15:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/5b2fa5b3/9509d61d.mp3" length="42361772" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2599</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>This is the first episode in a special series we are calling the “Spotlight on AI in Africa”. To kick things off, Joyce and Mutembesa from Makerere University’s AI Lab join us to talk about their amazing work in computer vision, natural language processing, and data collection. Their lab seeks out problems that matter in African communities, pairs those problems with appropriate data/tools, and works with the end users to ensure that solutions create real value.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – <strong>Ship fast. Rest easy.</strong> Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – Linode is our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a> OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. </li></ul><p>Featuring:</p><ul><li>Joyce Nabende – <a href="https://x.com/j_nabende">X</a></li><li>Mutembesa – <a href="https://x.com/mutembesa">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://air.ug/">Makerere AI Lab</a></li><li><a href="https://air.ug/projects/">Makerere AI Lab - projects</a></li><li><a href="https://www.openforgood.info/">Open for Good Alliance</a></li><li><a href="https://www.idrc.ca/en">International Development Research Centre - Canada</a></li><li><a href="https://www.giz.de/expertise/html/61982.html">FAIR Forward – Artificial Intelligence for All - GIZ</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/j_nabende" img="https://img.transistorcdn.com/M4EbanLd0pky0OK1rcCJINyKoLYfkHUb4iv1lnJqOYI/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kOWI4/YWQ3MWViYjk0NDg3/NmNjYzYwN2MxNzlm/MGVhMS5qcGc.jpg">Joyce Nabende</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/mutembesa" img="https://img.transistorcdn.com/e__l1PNgBJfjQhEc8V7GBlTwJ1pskhNGAZ2kHShhTrg/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9iMzZl/NmZkODdhMzc1ZmEx/ZGE2OGY5ZWU1OWJk/NDgwZS5qcGVn.jpg">Mutembesa</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Federated Learning 📱</title>
      <itunes:episode>153</itunes:episode>
      <podcast:episode>153</podcast:episode>
      <itunes:title>Federated Learning 📱</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1495</guid>
      <link>https://share.transistor.fm/s/9290eb7f</link>
      <description>
        <![CDATA[<p>Federated learning is increasingly practical for machine learning developers because of the challenges we face with model and data privacy. In this fully connected episode, Chris and Daniel dive into the topic and dissect the ideas behind federated learning, practicalities of implementing decentralized training, and current uses of the technique.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – <strong>Ship fast. Rest easy.</strong> Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Learning:</p><ul><li><a href="https://federated.withgoogle.com/">Google Federated Learning comic</a></li><li><a href="https://towardsdatascience.com/federated-learning-a-step-by-step-implementation-in-tensorflow-aac568283399">Federated Learning: A Step by Step Implementation in Tensorflow</a></li></ul><p>Frameworks/ open source projects:</p><ul><li><a href="https://www.tensorflow.org/federated">TensorFlow Federated</a></li><li><a href="https://github.com/intel/openfl">Intel Open Federated Learning</a></li><li><a href="https://github.com/OpenMined/PyGrid">PyGrid</a></li><li><a href="https://github.com/adap/flower">Flower</a></li></ul><p>Example uses of Federated Learning:</p><ul><li><a href="https://research.google/pubs/pub47586/">Federated Learning for Mobile Keyboard Prediction</a></li><li><a href="https://support.google.com/assistant/answer/10176224?hl=en">Your voice &amp; audio data stays private while Google Assistant improves</a></li><li><a href="https://www.theverge.com/2021/8/11/22619639/facebook-plans-privacy-focused-advertising-revamp">Facebook is rebuilding its ads to know a lot less about you</a></li><li><a href="https://www.nature.com/articles/s41591-021-01506-3">Federated learning for predicting clinical outcomes in patients with COVID-19</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Federated learning is increasingly practical for machine learning developers because of the challenges we face with model and data privacy. In this fully connected episode, Chris and Daniel dive into the topic and dissect the ideas behind federated learning, practicalities of implementing decentralized training, and current uses of the technique.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – <strong>Ship fast. Rest easy.</strong> Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Learning:</p><ul><li><a href="https://federated.withgoogle.com/">Google Federated Learning comic</a></li><li><a href="https://towardsdatascience.com/federated-learning-a-step-by-step-implementation-in-tensorflow-aac568283399">Federated Learning: A Step by Step Implementation in Tensorflow</a></li></ul><p>Frameworks/ open source projects:</p><ul><li><a href="https://www.tensorflow.org/federated">TensorFlow Federated</a></li><li><a href="https://github.com/intel/openfl">Intel Open Federated Learning</a></li><li><a href="https://github.com/OpenMined/PyGrid">PyGrid</a></li><li><a href="https://github.com/adap/flower">Flower</a></li></ul><p>Example uses of Federated Learning:</p><ul><li><a href="https://research.google/pubs/pub47586/">Federated Learning for Mobile Keyboard Prediction</a></li><li><a href="https://support.google.com/assistant/answer/10176224?hl=en">Your voice &amp; audio data stays private while Google Assistant improves</a></li><li><a href="https://www.theverge.com/2021/8/11/22619639/facebook-plans-privacy-focused-advertising-revamp">Facebook is rebuilding its ads to know a lot less about you</a></li><li><a href="https://www.nature.com/articles/s41591-021-01506-3">Federated learning for predicting clinical outcomes in patients with COVID-19</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 12 Oct 2021 14:20:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/9290eb7f/23807909.mp3" length="44263815" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2718</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Federated learning is increasingly practical for machine learning developers because of the challenges we face with model and data privacy. In this fully connected episode, Chris and Daniel dive into the topic and dissect the ideas behind federated learning, practicalities of implementing decentralized training, and current uses of the technique.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – <strong>Ship fast. Rest easy.</strong> Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Learning:</p><ul><li><a href="https://federated.withgoogle.com/">Google Federated Learning comic</a></li><li><a href="https://towardsdatascience.com/federated-learning-a-step-by-step-implementation-in-tensorflow-aac568283399">Federated Learning: A Step by Step Implementation in Tensorflow</a></li></ul><p>Frameworks/ open source projects:</p><ul><li><a href="https://www.tensorflow.org/federated">TensorFlow Federated</a></li><li><a href="https://github.com/intel/openfl">Intel Open Federated Learning</a></li><li><a href="https://github.com/OpenMined/PyGrid">PyGrid</a></li><li><a href="https://github.com/adap/flower">Flower</a></li></ul><p>Example uses of Federated Learning:</p><ul><li><a href="https://research.google/pubs/pub47586/">Federated Learning for Mobile Keyboard Prediction</a></li><li><a href="https://support.google.com/assistant/answer/10176224?hl=en">Your voice &amp; audio data stays private while Google Assistant improves</a></li><li><a href="https://www.theverge.com/2021/8/11/22619639/facebook-plans-privacy-focused-advertising-revamp">Facebook is rebuilding its ads to know a lot less about you</a></li><li><a href="https://www.nature.com/articles/s41591-021-01506-3">Federated learning for predicting clinical outcomes in patients with COVID-19</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>The mathematics of machine learning</title>
      <itunes:episode>152</itunes:episode>
      <podcast:episode>152</podcast:episode>
      <itunes:title>The mathematics of machine learning</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1487</guid>
      <link>https://share.transistor.fm/s/489620ac</link>
      <description>
        <![CDATA[<p>Tivadar Danka is an educator and content creator in the machine learning space, and he is writing a book to help practitioners go from high school mathematics to mathematics of neural networks. His explanations are lucid and easy to understand. You have never had such a fun and interesting conversation about calculus, linear algebra, and probability theory before!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – <strong>Ship fast. Rest easy.</strong> Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. </li></ul><p>Featuring:</p><ul><li>Tivadar Danka – <a href="https://www.tivadardanka.com">Website</a>, <a href="https://github.com/cosmic-cortex">GitHub</a>, <a href="https://x.com/TivadarDanka">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://twitter.com/TivadarDanka/status/1426158532311896067">Mathematics of Machine Learning - Roadmap Graphic | Twitter</a></li></ul><p>Books</p><ul><li><a href="https://tivadar.gumroad.com/l/mathematics-of-machine-learning">“Mathematics of Machine Learning” by Tivadar Danka</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Tivadar Danka is an educator and content creator in the machine learning space, and he is writing a book to help practitioners go from high school mathematics to mathematics of neural networks. His explanations are lucid and easy to understand. You have never had such a fun and interesting conversation about calculus, linear algebra, and probability theory before!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – <strong>Ship fast. Rest easy.</strong> Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. </li></ul><p>Featuring:</p><ul><li>Tivadar Danka – <a href="https://www.tivadardanka.com">Website</a>, <a href="https://github.com/cosmic-cortex">GitHub</a>, <a href="https://x.com/TivadarDanka">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://twitter.com/TivadarDanka/status/1426158532311896067">Mathematics of Machine Learning - Roadmap Graphic | Twitter</a></li></ul><p>Books</p><ul><li><a href="https://tivadar.gumroad.com/l/mathematics-of-machine-learning">“Mathematics of Machine Learning” by Tivadar Danka</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 05 Oct 2021 16:15:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/489620ac/b7683b54.mp3" length="37271049" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2284</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Tivadar Danka is an educator and content creator in the machine learning space, and he is writing a book to help practitioners go from high school mathematics to mathematics of neural networks. His explanations are lucid and easy to understand. You have never had such a fun and interesting conversation about calculus, linear algebra, and probability theory before!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – <strong>Ship fast. Rest easy.</strong> Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. </li></ul><p>Featuring:</p><ul><li>Tivadar Danka – <a href="https://www.tivadardanka.com">Website</a>, <a href="https://github.com/cosmic-cortex">GitHub</a>, <a href="https://x.com/TivadarDanka">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://twitter.com/TivadarDanka/status/1426158532311896067">Mathematics of Machine Learning - Roadmap Graphic | Twitter</a></li></ul><p>Books</p><ul><li><a href="https://tivadar.gumroad.com/l/mathematics-of-machine-learning">“Mathematics of Machine Learning” by Tivadar Danka</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/tivadardanka" img="https://img.transistorcdn.com/nVr2GXoo-OOhoSGkS_EGYlweVlFZ0jOU69WaB_kpWq8/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85YjYy/ODlkNDVlYzhiZDk1/ZjA5NTM3OTQ1Mzdm/YTc3NS5wbmc.jpg">Tivadar Danka</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Balancing human intelligence with AI</title>
      <itunes:episode>151</itunes:episode>
      <podcast:episode>151</podcast:episode>
      <itunes:title>Balancing human intelligence with AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1486</guid>
      <link>https://share.transistor.fm/s/f72324fc</link>
      <description>
        <![CDATA[<p>Polarity Mapping is a framework to “help problems be solved in a realistic and multidimensional manner” (see <a href="https://universityinnovation.org/wiki/Resource:Polarity_Mapping">here</a> for more info). In this week’s fully connected episode, Chris and Daniel use this framework to help them discuss how an organization can strike a good balance between human intelligence and AI. AI can’t solve everything and humans need to be in-the-loop with many AI solutions.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://signalwire.com">SignalWire</a> – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at <a href="https://signalwire.com">signalwire.com</a> and use code AI for $25 in developer credit. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – <strong>Ship fast. Rest easy.</strong> Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://universityinnovation.org/wiki/Resource:Polarity_Mapping">Polarity Mapping</a></li><li><a href="https://www.semanticscholar.org/paper/Reflections-A-Perspective-on-Paradox-and-Its-to-Johnson/758d3dfe8842e4e39fd9c06f88ab7254133d8485">Barry Johnson’s paper “Reflections A Perspective on Paradox and Its Application to Modern Management”</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Polarity Mapping is a framework to “help problems be solved in a realistic and multidimensional manner” (see <a href="https://universityinnovation.org/wiki/Resource:Polarity_Mapping">here</a> for more info). In this week’s fully connected episode, Chris and Daniel use this framework to help them discuss how an organization can strike a good balance between human intelligence and AI. AI can’t solve everything and humans need to be in-the-loop with many AI solutions.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://signalwire.com">SignalWire</a> – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at <a href="https://signalwire.com">signalwire.com</a> and use code AI for $25 in developer credit. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – <strong>Ship fast. Rest easy.</strong> Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://universityinnovation.org/wiki/Resource:Polarity_Mapping">Polarity Mapping</a></li><li><a href="https://www.semanticscholar.org/paper/Reflections-A-Perspective-on-Paradox-and-Its-to-Johnson/758d3dfe8842e4e39fd9c06f88ab7254133d8485">Barry Johnson’s paper “Reflections A Perspective on Paradox and Its Application to Modern Management”</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 28 Sep 2021 17:20:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/f72324fc/f4a174a1.mp3" length="41298302" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2546</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Polarity Mapping is a framework to “help problems be solved in a realistic and multidimensional manner” (see <a href="https://universityinnovation.org/wiki/Resource:Polarity_Mapping">here</a> for more info). In this week’s fully connected episode, Chris and Daniel use this framework to help them discuss how an organization can strike a good balance between human intelligence and AI. AI can’t solve everything and humans need to be in-the-loop with many AI solutions.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://signalwire.com">SignalWire</a> – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at <a href="https://signalwire.com">signalwire.com</a> and use code AI for $25 in developer credit. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – <strong>Ship fast. Rest easy.</strong> Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://universityinnovation.org/wiki/Resource:Polarity_Mapping">Polarity Mapping</a></li><li><a href="https://www.semanticscholar.org/paper/Reflections-A-Perspective-on-Paradox-and-Its-to-Johnson/758d3dfe8842e4e39fd9c06f88ab7254133d8485">Barry Johnson’s paper “Reflections A Perspective on Paradox and Its Application to Modern Management”</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>From notebooks to Netflix scale with Metaflow</title>
      <itunes:episode>150</itunes:episode>
      <podcast:episode>150</podcast:episode>
      <itunes:title>From notebooks to Netflix scale with Metaflow</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1483</guid>
      <link>https://share.transistor.fm/s/74c2ba01</link>
      <description>
        <![CDATA[<p>As you start developing an AI/ML based solution, you quickly figure out that you need to run workflows. Not only that, you might need to run those workflows across various kinds of infrastructure (including GPUs) at scale. Ville Tuulos developed Metaflow while working at Netflix to help data scientists scale their work. In this episode, Ville tells us a bit more about Metaflow, his new book on data science infrastructure, and his approach to helping scale ML/AI work.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://signalwire.com">SignalWire</a> – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at <a href="https://signalwire.com">signalwire.com</a> and use code AI for $25 in developer credit. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li></ul><p>Featuring:</p><ul><li>Ville Tuulos – <a href="https://www.linkedin.com/in/villetuulos">LinkedIn</a>, <a href="https://x.com/vtuulos">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://metaflow.org/">Metaflow</a></li></ul><p>Books</p><ul><li><a href="https://www.manning.com/books/effective-data-science-infrastructure">“Effective Data Science Infrastructure” by Ville Tuulos</a><ul><li>Use code <strong>podpracticalAI19</strong> for 40% off!</li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>As you start developing an AI/ML based solution, you quickly figure out that you need to run workflows. Not only that, you might need to run those workflows across various kinds of infrastructure (including GPUs) at scale. Ville Tuulos developed Metaflow while working at Netflix to help data scientists scale their work. In this episode, Ville tells us a bit more about Metaflow, his new book on data science infrastructure, and his approach to helping scale ML/AI work.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://signalwire.com">SignalWire</a> – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at <a href="https://signalwire.com">signalwire.com</a> and use code AI for $25 in developer credit. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li></ul><p>Featuring:</p><ul><li>Ville Tuulos – <a href="https://www.linkedin.com/in/villetuulos">LinkedIn</a>, <a href="https://x.com/vtuulos">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://metaflow.org/">Metaflow</a></li></ul><p>Books</p><ul><li><a href="https://www.manning.com/books/effective-data-science-infrastructure">“Effective Data Science Infrastructure” by Ville Tuulos</a><ul><li>Use code <strong>podpracticalAI19</strong> for 40% off!</li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 21 Sep 2021 10:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/74c2ba01/c642fb0d.mp3" length="46295419" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2854</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>As you start developing an AI/ML based solution, you quickly figure out that you need to run workflows. Not only that, you might need to run those workflows across various kinds of infrastructure (including GPUs) at scale. Ville Tuulos developed Metaflow while working at Netflix to help data scientists scale their work. In this episode, Ville tells us a bit more about Metaflow, his new book on data science infrastructure, and his approach to helping scale ML/AI work.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://signalwire.com">SignalWire</a> – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at <a href="https://signalwire.com">signalwire.com</a> and use code AI for $25 in developer credit. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li></ul><p>Featuring:</p><ul><li>Ville Tuulos – <a href="https://www.linkedin.com/in/villetuulos">LinkedIn</a>, <a href="https://x.com/vtuulos">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://metaflow.org/">Metaflow</a></li></ul><p>Books</p><ul><li><a href="https://www.manning.com/books/effective-data-science-infrastructure">“Effective Data Science Infrastructure” by Ville Tuulos</a><ul><li>Use code <strong>podpracticalAI19</strong> for 40% off!</li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/villetuulos" img="https://img.transistorcdn.com/nJ7sulUMp7gyxTUWd8BzSI3K-QhuenxnBx-oSxrEycc/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lMjgx/NTM2ZWIzOWYxNGVj/MjNlMjkzMDczYmVl/MTUyOS5qcGc.jpg">Ville Tuulos</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Trends in data labeling</title>
      <itunes:episode>149</itunes:episode>
      <podcast:episode>149</podcast:episode>
      <itunes:title>Trends in data labeling</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1474</guid>
      <link>https://share.transistor.fm/s/ea230fd3</link>
      <description>
        <![CDATA[<p>Any AI play that lacks an underlying data strategy is doomed to fail, and a big part of any data strategy is labeling. Michael, from Label Studio, joins us in this episode to discuss how the industry’s perception of data labeling is shifting. We cover open source tooling, validating labels, and integrating ML/AI models in the labeling loop.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://signalwire.com">SignalWire</a> – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at <a href="https://signalwire.com">signalwire.com</a> and use code SHIPIT for $25 in developer credit. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li></ul><p>Featuring:</p><ul><li>Michael Malyuk – <a href="https://www.linkedin.com/in/mikhail-malyuk">LinkedIn</a>, <a href="https://x.com/michaelmalyuk">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://labelstud.io/">Label Studio</a></li><li><a href="https://heartex.com/">Heartex</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Any AI play that lacks an underlying data strategy is doomed to fail, and a big part of any data strategy is labeling. Michael, from Label Studio, joins us in this episode to discuss how the industry’s perception of data labeling is shifting. We cover open source tooling, validating labels, and integrating ML/AI models in the labeling loop.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://signalwire.com">SignalWire</a> – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at <a href="https://signalwire.com">signalwire.com</a> and use code SHIPIT for $25 in developer credit. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li></ul><p>Featuring:</p><ul><li>Michael Malyuk – <a href="https://www.linkedin.com/in/mikhail-malyuk">LinkedIn</a>, <a href="https://x.com/michaelmalyuk">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://labelstud.io/">Label Studio</a></li><li><a href="https://heartex.com/">Heartex</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 14 Sep 2021 16:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/ea230fd3/1a47b003.mp3" length="43369851" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2679</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Any AI play that lacks an underlying data strategy is doomed to fail, and a big part of any data strategy is labeling. Michael, from Label Studio, joins us in this episode to discuss how the industry’s perception of data labeling is shifting. We cover open source tooling, validating labels, and integrating ML/AI models in the labeling loop.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://signalwire.com">SignalWire</a> – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at <a href="https://signalwire.com">signalwire.com</a> and use code SHIPIT for $25 in developer credit. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li></ul><p>Featuring:</p><ul><li>Michael Malyuk – <a href="https://www.linkedin.com/in/mikhail-malyuk">LinkedIn</a>, <a href="https://x.com/michaelmalyuk">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://labelstud.io/">Label Studio</a></li><li><a href="https://heartex.com/">Heartex</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/michaelmalyuk" img="https://img.transistorcdn.com/zrVG88QPqB3g21lg0ViXjfSgK3AwMmOxkKVBUBYTBv4/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yY2Q1/OTUyMWQ5YzUzZjk2/MDgzNWQwYWMwMTg1/YWJhZi5qcGc.jpg">Michael Malyuk</podcast:person>
    </item>
    <item>
      <title>Stellar inference speed via AutoNAS</title>
      <itunes:episode>148</itunes:episode>
      <podcast:episode>148</podcast:episode>
      <itunes:title>Stellar inference speed via AutoNAS</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1470</guid>
      <link>https://share.transistor.fm/s/e07c06a1</link>
      <description>
        <![CDATA[<p>Yonatan Geifman of Deci makes Daniel and Chris buckle up, and takes them on a tour of the ideas behind his amazing new inference platform. It enables AI developers to build, optimize, and deploy blazing-fast deep learning models on any hardware. Don’t blink or you’ll miss it!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://signalwire.com">SignalWire</a> – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at <a href="https://signalwire.com">signalwire.com</a> and use code SHIPIT for $25 in developer credit. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li></ul><p>Featuring:</p><ul><li>Yonatan Geifman – <a href="https://www.yonatangeifman.com">Website</a>, <a href="https://github.com/geifmany">GitHub</a>, <a href="https://x.com/geifman_y">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://deci.ai">Deci</a></li><li><a href="https://deci.ai/resources/blog/inference-stack-and-inference-acceleration-techniques">An Introduction to the Inference Stack and Inference Acceleration Techniques</a></li><li><a href="https://deci.ai/resources/news/deci-intel-optimize-deep-learning-inference-cpus">Deci and Intel Collaborate to Optimize Deep Learning Inference on Intel’s CPUs</a></li><li><a href="https://deci.ai/decinets">DeciNets: A New Efficient Frontier for Computer Vision Models</a></li><li><a href="https://info.deci.ai/hubfs/resources/deci-white-paper-autonac.pdf">White paper</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Yonatan Geifman of Deci makes Daniel and Chris buckle up, and takes them on a tour of the ideas behind his amazing new inference platform. It enables AI developers to build, optimize, and deploy blazing-fast deep learning models on any hardware. Don’t blink or you’ll miss it!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://signalwire.com">SignalWire</a> – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at <a href="https://signalwire.com">signalwire.com</a> and use code SHIPIT for $25 in developer credit. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li></ul><p>Featuring:</p><ul><li>Yonatan Geifman – <a href="https://www.yonatangeifman.com">Website</a>, <a href="https://github.com/geifmany">GitHub</a>, <a href="https://x.com/geifman_y">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://deci.ai">Deci</a></li><li><a href="https://deci.ai/resources/blog/inference-stack-and-inference-acceleration-techniques">An Introduction to the Inference Stack and Inference Acceleration Techniques</a></li><li><a href="https://deci.ai/resources/news/deci-intel-optimize-deep-learning-inference-cpus">Deci and Intel Collaborate to Optimize Deep Learning Inference on Intel’s CPUs</a></li><li><a href="https://deci.ai/decinets">DeciNets: A New Efficient Frontier for Computer Vision Models</a></li><li><a href="https://info.deci.ai/hubfs/resources/deci-white-paper-autonac.pdf">White paper</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 07 Sep 2021 14:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/e07c06a1/01bbee97.mp3" length="40972039" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2535</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Yonatan Geifman of Deci makes Daniel and Chris buckle up, and takes them on a tour of the ideas behind his amazing new inference platform. It enables AI developers to build, optimize, and deploy blazing-fast deep learning models on any hardware. Don’t blink or you’ll miss it!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://signalwire.com">SignalWire</a> – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at <a href="https://signalwire.com">signalwire.com</a> and use code SHIPIT for $25 in developer credit. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li></ul><p>Featuring:</p><ul><li>Yonatan Geifman – <a href="https://www.yonatangeifman.com">Website</a>, <a href="https://github.com/geifmany">GitHub</a>, <a href="https://x.com/geifman_y">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://deci.ai">Deci</a></li><li><a href="https://deci.ai/resources/blog/inference-stack-and-inference-acceleration-techniques">An Introduction to the Inference Stack and Inference Acceleration Techniques</a></li><li><a href="https://deci.ai/resources/news/deci-intel-optimize-deep-learning-inference-cpus">Deci and Intel Collaborate to Optimize Deep Learning Inference on Intel’s CPUs</a></li><li><a href="https://deci.ai/decinets">DeciNets: A New Efficient Frontier for Computer Vision Models</a></li><li><a href="https://info.deci.ai/hubfs/resources/deci-white-paper-autonac.pdf">White paper</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/geifmany" img="https://img.transistorcdn.com/mAjvqrR5-dOW8OX7D2j1QPaEOQcNrsQ5JOXuYB3OonA/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jODRk/ZGQ3YzJlMTE3ZTYz/MDljODllNzg0YzA5/ZmUzZS5qcGc.jpg">Yonatan Geifman</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Anaconda + Pyston and more</title>
      <itunes:episode>147</itunes:episode>
      <podcast:episode>147</podcast:episode>
      <itunes:title>Anaconda + Pyston and more</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1452</guid>
      <link>https://share.transistor.fm/s/244d43df</link>
      <description>
        <![CDATA[<p>In this episode, Peter Wang from Anaconda joins us again to go over their latest “State of Data Science” survey. The updated results include some insights related to data science work during COVID along with other topics including AutoML and model bias. Peter also tells us a bit about the exciting new partnership between Anaconda and Pyston (a fork of the standard CPython interpreter which has been extensively enhanced to improve the execution performance of most Python programs).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://signalwire.com">SignalWire</a> – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at <a href="https://signalwire.com">signalwire.com</a> and use code SHIPIT for $25 in developer credit. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li></ul><p>Featuring:</p><ul><li>Peter Wang – <a href="https://www.anaconda.com">Website</a>, <a href="https://x.com/pwang">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.anaconda.com/state-of-data-science-2021">Anaconda’s State of Data Science</a></li><li><a href="https://www.anaconda.com/blog/pyston-team-joins-anaconda">Pyston Team Joins Anaconda to Expand Open-Source Project Development</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this episode, Peter Wang from Anaconda joins us again to go over their latest “State of Data Science” survey. The updated results include some insights related to data science work during COVID along with other topics including AutoML and model bias. Peter also tells us a bit about the exciting new partnership between Anaconda and Pyston (a fork of the standard CPython interpreter which has been extensively enhanced to improve the execution performance of most Python programs).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://signalwire.com">SignalWire</a> – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at <a href="https://signalwire.com">signalwire.com</a> and use code SHIPIT for $25 in developer credit. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li></ul><p>Featuring:</p><ul><li>Peter Wang – <a href="https://www.anaconda.com">Website</a>, <a href="https://x.com/pwang">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.anaconda.com/state-of-data-science-2021">Anaconda’s State of Data Science</a></li><li><a href="https://www.anaconda.com/blog/pyston-team-joins-anaconda">Pyston Team Joins Anaconda to Expand Open-Source Project Development</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 01 Sep 2021 10:40:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/244d43df/31d0b8ed.mp3" length="41755604" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2583</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this episode, Peter Wang from Anaconda joins us again to go over their latest “State of Data Science” survey. The updated results include some insights related to data science work during COVID along with other topics including AutoML and model bias. Peter also tells us a bit about the exciting new partnership between Anaconda and Pyston (a fork of the standard CPython interpreter which has been extensively enhanced to improve the execution performance of most Python programs).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://signalwire.com">SignalWire</a> – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at <a href="https://signalwire.com">signalwire.com</a> and use code SHIPIT for $25 in developer credit. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a></li></ul><p>Featuring:</p><ul><li>Peter Wang – <a href="https://www.anaconda.com">Website</a>, <a href="https://x.com/pwang">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.anaconda.com/state-of-data-science-2021">Anaconda’s State of Data Science</a></li><li><a href="https://www.anaconda.com/blog/pyston-team-joins-anaconda">Pyston Team Joins Anaconda to Expand Open-Source Project Development</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/peterwang" img="https://img.transistorcdn.com/Tcd8Ax16Gk4BeC9lmAnIAMnyjIovvTnTMxJ3fH_cYSE/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mNjRm/NDMyYzNmNTRiMDBm/ZTU2OGRmMDVmNzI3/NmQ3OC5qcGc.jpg">Peter Wang</podcast:person>
    </item>
    <item>
      <title>Exploring a new AI lexicon</title>
      <itunes:episode>146</itunes:episode>
      <podcast:episode>146</podcast:episode>
      <itunes:title>Exploring a new AI lexicon</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1447</guid>
      <link>https://share.transistor.fm/s/8a83cc68</link>
      <description>
        <![CDATA[<p>We’re back with another Fully Connected episode – Daniel and Chris dive into a series of articles called ‘A New AI Lexicon’ that collectively explore alternate narratives, positionalities, and understandings to the better known and widely circulated ways of talking about AI. The fun begins early as they discuss and debate ‘An Electric Brain’ with strong opinions, and consider viewpoints that aren’t always popular.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://signalwire.com">SignalWire</a> – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at <a href="https://signalwirecom">signalwire.com</a> and use code AI for $25 in developer credit. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://medium.com/a-new-ai-lexicon">A New AI Lexicon</a></li><li><a href="https://medium.com/a-new-ai-lexicon/a-new-ai-lexicon-an-electric-brain-77a81f3ce446">A New AI Lexicon: An Electric Brain</a></li><li><a href="https://medium.com/a-new-ai-lexicon/a-new-ai-lexicon-function-creep-1c20834fab4a">A New AI Lexicon: Function Creep</a></li><li><a href="https://medium.com/a-new-ai-lexicon/a-new-ai-lexicon-smart-580484078624">A New AI Lexicon: Smart</a></li><li><a href="https://medium.com/a-new-ai-lexicon/a-new-ai-lexicon-artificial-identity-cataracts-29f73c32e6bb">A New AI Lexicon: Artificial Identity Cataracts</a></li><li><a href="https://medium.com/a-new-ai-lexicon/a-new-ai-lexicon-imbrication-40b380dafa35">A New AI Lexicon: Imbrication</a></li></ul><p>Books</p><ul><li><a href="https://arxiv.org/pdf/2009.05673.pdf">Free 500+ PDF “Applications of Deep Neural Networks with Keras” book from Jeff Heaton, who is teaching this course at Washington University in St. Louis</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We’re back with another Fully Connected episode – Daniel and Chris dive into a series of articles called ‘A New AI Lexicon’ that collectively explore alternate narratives, positionalities, and understandings to the better known and widely circulated ways of talking about AI. The fun begins early as they discuss and debate ‘An Electric Brain’ with strong opinions, and consider viewpoints that aren’t always popular.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://signalwire.com">SignalWire</a> – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at <a href="https://signalwirecom">signalwire.com</a> and use code AI for $25 in developer credit. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://medium.com/a-new-ai-lexicon">A New AI Lexicon</a></li><li><a href="https://medium.com/a-new-ai-lexicon/a-new-ai-lexicon-an-electric-brain-77a81f3ce446">A New AI Lexicon: An Electric Brain</a></li><li><a href="https://medium.com/a-new-ai-lexicon/a-new-ai-lexicon-function-creep-1c20834fab4a">A New AI Lexicon: Function Creep</a></li><li><a href="https://medium.com/a-new-ai-lexicon/a-new-ai-lexicon-smart-580484078624">A New AI Lexicon: Smart</a></li><li><a href="https://medium.com/a-new-ai-lexicon/a-new-ai-lexicon-artificial-identity-cataracts-29f73c32e6bb">A New AI Lexicon: Artificial Identity Cataracts</a></li><li><a href="https://medium.com/a-new-ai-lexicon/a-new-ai-lexicon-imbrication-40b380dafa35">A New AI Lexicon: Imbrication</a></li></ul><p>Books</p><ul><li><a href="https://arxiv.org/pdf/2009.05673.pdf">Free 500+ PDF “Applications of Deep Neural Networks with Keras” book from Jeff Heaton, who is teaching this course at Washington University in St. Louis</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 24 Aug 2021 12:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/8a83cc68/06b64e02.mp3" length="42853017" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2666</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We’re back with another Fully Connected episode – Daniel and Chris dive into a series of articles called ‘A New AI Lexicon’ that collectively explore alternate narratives, positionalities, and understandings to the better known and widely circulated ways of talking about AI. The fun begins early as they discuss and debate ‘An Electric Brain’ with strong opinions, and consider viewpoints that aren’t always popular.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://signalwire.com">SignalWire</a> – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at <a href="https://signalwirecom">signalwire.com</a> and use code AI for $25 in developer credit. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://medium.com/a-new-ai-lexicon">A New AI Lexicon</a></li><li><a href="https://medium.com/a-new-ai-lexicon/a-new-ai-lexicon-an-electric-brain-77a81f3ce446">A New AI Lexicon: An Electric Brain</a></li><li><a href="https://medium.com/a-new-ai-lexicon/a-new-ai-lexicon-function-creep-1c20834fab4a">A New AI Lexicon: Function Creep</a></li><li><a href="https://medium.com/a-new-ai-lexicon/a-new-ai-lexicon-smart-580484078624">A New AI Lexicon: Smart</a></li><li><a href="https://medium.com/a-new-ai-lexicon/a-new-ai-lexicon-artificial-identity-cataracts-29f73c32e6bb">A New AI Lexicon: Artificial Identity Cataracts</a></li><li><a href="https://medium.com/a-new-ai-lexicon/a-new-ai-lexicon-imbrication-40b380dafa35">A New AI Lexicon: Imbrication</a></li></ul><p>Books</p><ul><li><a href="https://arxiv.org/pdf/2009.05673.pdf">Free 500+ PDF “Applications of Deep Neural Networks with Keras” book from Jeff Heaton, who is teaching this course at Washington University in St. Louis</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>NLP to help pregnant mothers in Kenya</title>
      <itunes:episode>145</itunes:episode>
      <podcast:episode>145</podcast:episode>
      <itunes:title>NLP to help pregnant mothers in Kenya</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1420</guid>
      <link>https://share.transistor.fm/s/9b15e695</link>
      <description>
        <![CDATA[<p>In Kenya, 33% of maternal deaths are caused by delays in seeking care, and 55% of maternal deaths are caused by delays in action or inadequate care by providers. Jacaranda Health is employing NLP and dialogue system techniques to help mothers experience childbirth safely and with respect and to help newborns get a safe start in life. Jay and Sathy from Jacaranda join us in this episode to discuss how they are using AI to prioritize incoming SMS messages from mothers and help them get the care they need.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://signalwire.com">SignalWire</a> – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at <a href="https://signalwirecom">signalwire.com</a> and use code AI for $25 in developer credit. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Jay Patel – <a href="https://www.linkedin.com/in/jay-patel-127a491">LinkedIn</a></li><li>Sathy Rajasekharan – <a href="https://www.linkedin.com/in/sathyrajan">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://youtu.be/CgV9QVF2VYw">Jacaranda Health video</a></li><li><a href="https://kenya.ai/how-jacaranda-health-is-getting-help-for-mothers-in-kenya-faster-using-natural-language-processing/">Jacaranda Health article</a></li><li><a href="https://www.jacarandahealth.org/">Jacaranda Health website</a></li><li><a href="https://towardsdatascience.com/how-ai-helps-mothers-in-kenya-get-the-care-they-need-faster-eb4f05b34732">How AI helps mothers in Kenya get the care they need, faster (article)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In Kenya, 33% of maternal deaths are caused by delays in seeking care, and 55% of maternal deaths are caused by delays in action or inadequate care by providers. Jacaranda Health is employing NLP and dialogue system techniques to help mothers experience childbirth safely and with respect and to help newborns get a safe start in life. Jay and Sathy from Jacaranda join us in this episode to discuss how they are using AI to prioritize incoming SMS messages from mothers and help them get the care they need.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://signalwire.com">SignalWire</a> – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at <a href="https://signalwirecom">signalwire.com</a> and use code AI for $25 in developer credit. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Jay Patel – <a href="https://www.linkedin.com/in/jay-patel-127a491">LinkedIn</a></li><li>Sathy Rajasekharan – <a href="https://www.linkedin.com/in/sathyrajan">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://youtu.be/CgV9QVF2VYw">Jacaranda Health video</a></li><li><a href="https://kenya.ai/how-jacaranda-health-is-getting-help-for-mothers-in-kenya-faster-using-natural-language-processing/">Jacaranda Health article</a></li><li><a href="https://www.jacarandahealth.org/">Jacaranda Health website</a></li><li><a href="https://towardsdatascience.com/how-ai-helps-mothers-in-kenya-get-the-care-they-need-faster-eb4f05b34732">How AI helps mothers in Kenya get the care they need, faster (article)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 17 Aug 2021 10:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/9b15e695/0ca7eef2.mp3" length="42556368" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2651</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In Kenya, 33% of maternal deaths are caused by delays in seeking care, and 55% of maternal deaths are caused by delays in action or inadequate care by providers. Jacaranda Health is employing NLP and dialogue system techniques to help mothers experience childbirth safely and with respect and to help newborns get a safe start in life. Jay and Sathy from Jacaranda join us in this episode to discuss how they are using AI to prioritize incoming SMS messages from mothers and help them get the care they need.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://signalwire.com">SignalWire</a> – Build what’s next in communications with video, voice, and messaging APIs powered by elastic cloud infrastructure. Try it today at <a href="https://signalwirecom">signalwire.com</a> and use code AI for $25 in developer credit. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Jay Patel – <a href="https://www.linkedin.com/in/jay-patel-127a491">LinkedIn</a></li><li>Sathy Rajasekharan – <a href="https://www.linkedin.com/in/sathyrajan">LinkedIn</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://youtu.be/CgV9QVF2VYw">Jacaranda Health video</a></li><li><a href="https://kenya.ai/how-jacaranda-health-is-getting-help-for-mothers-in-kenya-faster-using-natural-language-processing/">Jacaranda Health article</a></li><li><a href="https://www.jacarandahealth.org/">Jacaranda Health website</a></li><li><a href="https://towardsdatascience.com/how-ai-helps-mothers-in-kenya-get-the-care-they-need-faster-eb4f05b34732">How AI helps mothers in Kenya get the care they need, faster (article)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/jpatel" img="https://img.transistorcdn.com/S4WbhbGV5NjVu64ddGvQ1lbweun28SwnuVNCF31bHuc/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80MzM3/NzAxNmRiNjc0ODk0/NTBmYjgwYzAyMjE0/ZmU3OC5qcGVn.jpg">Jay Patel</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/sathyrajan" img="https://img.transistorcdn.com/qHcq263V1RR8E3bviWrWPWzGr06g3LKrPNB05odR7oc/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jYjY3/YTEwNzRhMjk2M2Q3/ZDJjN2JlMDdmNjk5/ZGJjMy5qcGVn.jpg">Sathy Rajasekharan</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>SLICED - will you make the (data science) cut?</title>
      <itunes:episode>144</itunes:episode>
      <podcast:episode>144</podcast:episode>
      <itunes:title>SLICED - will you make the (data science) cut?</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1438</guid>
      <link>https://share.transistor.fm/s/2f9b3020</link>
      <description>
        <![CDATA[<p>SLICED is like the TV Show Chopped but for data science. Competitors get a never-before-seen dataset and two-hours to code a solution to a prediction challenge. Meg and Nick, the SLICED show hosts, join us in this episode to discuss how the show is creating much needed data science community. They give us a behind the scenes look at all the datasets, memes, contestants, scores, and chat of SLICED.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – <strong>Ship fast. Rest easy.</strong> Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. </li></ul><p>Featuring:</p><ul><li>Meg Risdal – <a href="https://meg.dev">Website</a>, <a href="https://www.linkedin.com/in/megan-risdal-4617812a">LinkedIn</a>, <a href="https://x.com/meganrisdal">X</a></li><li>Nick Wan – <a href="https://x.com/nickwan">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Be sure to tune in to the SLICED semifinals August 10th and the SLICED championships August 17th!</p><p>SLICED links:</p><ul><li><a href="https://www.twitch.tv/nickwan_datasci">Twitch stream</a></li><li><a href="https://www.youtube.com/c/NickWan">YouTube</a></li><li><a href="https://www.notion.so/Sliced-Show-c7bd26356e3a42279e2dfbafb0480073">SLICED Notion site</a></li><li><a href="https://towardsdatascience.com/data-science-coding-meets-esports-9439d3ecf91e">Towards Data Science interview about SLICED</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>SLICED is like the TV Show Chopped but for data science. Competitors get a never-before-seen dataset and two-hours to code a solution to a prediction challenge. Meg and Nick, the SLICED show hosts, join us in this episode to discuss how the show is creating much needed data science community. They give us a behind the scenes look at all the datasets, memes, contestants, scores, and chat of SLICED.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – <strong>Ship fast. Rest easy.</strong> Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. </li></ul><p>Featuring:</p><ul><li>Meg Risdal – <a href="https://meg.dev">Website</a>, <a href="https://www.linkedin.com/in/megan-risdal-4617812a">LinkedIn</a>, <a href="https://x.com/meganrisdal">X</a></li><li>Nick Wan – <a href="https://x.com/nickwan">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Be sure to tune in to the SLICED semifinals August 10th and the SLICED championships August 17th!</p><p>SLICED links:</p><ul><li><a href="https://www.twitch.tv/nickwan_datasci">Twitch stream</a></li><li><a href="https://www.youtube.com/c/NickWan">YouTube</a></li><li><a href="https://www.notion.so/Sliced-Show-c7bd26356e3a42279e2dfbafb0480073">SLICED Notion site</a></li><li><a href="https://towardsdatascience.com/data-science-coding-meets-esports-9439d3ecf91e">Towards Data Science interview about SLICED</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 10 Aug 2021 10:40:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/2f9b3020/7b75ff56.mp3" length="47608554" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2885</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>SLICED is like the TV Show Chopped but for data science. Competitors get a never-before-seen dataset and two-hours to code a solution to a prediction challenge. Meg and Nick, the SLICED show hosts, join us in this episode to discuss how the show is creating much needed data science community. They give us a behind the scenes look at all the datasets, memes, contestants, scores, and chat of SLICED.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – <strong>Ship fast. Rest easy.</strong> Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. </li></ul><p>Featuring:</p><ul><li>Meg Risdal – <a href="https://meg.dev">Website</a>, <a href="https://www.linkedin.com/in/megan-risdal-4617812a">LinkedIn</a>, <a href="https://x.com/meganrisdal">X</a></li><li>Nick Wan – <a href="https://x.com/nickwan">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Be sure to tune in to the SLICED semifinals August 10th and the SLICED championships August 17th!</p><p>SLICED links:</p><ul><li><a href="https://www.twitch.tv/nickwan_datasci">Twitch stream</a></li><li><a href="https://www.youtube.com/c/NickWan">YouTube</a></li><li><a href="https://www.notion.so/Sliced-Show-c7bd26356e3a42279e2dfbafb0480073">SLICED Notion site</a></li><li><a href="https://towardsdatascience.com/data-science-coding-meets-esports-9439d3ecf91e">Towards Data Science interview about SLICED</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/meganrisdal" img="https://img.transistorcdn.com/dCasJ-VqAeRUzKjF-Un8tEr4wtILVak3vAIUR4BiG7A/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84Mzhj/ODg5NTQ4N2ZlMmU4/N2JjMDNjNzYzZTJj/NzBhMC5qcGc.jpg">Meg Risdal</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/nickwan" img="https://img.transistorcdn.com/WrgfIu6znfRnErT9hum0ZMdqQ2CwuqNU-lzNik0loak/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hNGIz/MThkMTA1YTk5YTY0/ODc1NDI3NTRkOTcy/ZjBiNS5qcGc.jpg">Nick Wan</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>AI is creating never before heard sounds! 🎵</title>
      <itunes:episode>143</itunes:episode>
      <podcast:episode>143</podcast:episode>
      <itunes:title>AI is creating never before heard sounds! 🎵</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1419</guid>
      <link>https://share.transistor.fm/s/8a4f8e44</link>
      <description>
        <![CDATA[<p>AI is being used to transform the most personal instrument we have, our voice, into something that can be “played.” This is fascinating in and of itself, but Yotam Mann from Never Before Heard Sounds is doing so much more! In this episode, he describes how he is using neural nets to process audio in real time for musicians and how AI is poised to change the music industry forever.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://pssclabs.com/practicalai">PSSC Labs</a> – Solutions from PSSC Labs provide a cost effective, highly secure, and performance guarantee that organizations need to reach their AI and Machine Learning Goals. Learn more and and get a FREE consultation today at <a href="https://pssclabs.com/practicalai">pssclabs.com/practicalai</a></li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Yotam Mann – <a href="https://yotammann.info">Website</a>, <a href="https://github.com/tambien">GitHub</a>, <a href="https://x.com/yotammann">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://heardsounds.com/">Never Before Heard Sounds</a></li><li><a href="https://yotammann.info/">Yotam’s personal website</a></li><li><a href="https://heardsounds.com/holly-plus">Holly+</a></li><li><a href="https://heardsounds.com/hardware">Real Time Hardware for Audio Processing</a></li><li><a href="https://heardsounds.com/gan-style">gan.style</a></li><li><a href="https://arxiv.org/abs/1710.11153">Onsets and Frames (Piano Transcription)</a></li><li><a href="https://magenta.tensorflow.org/ddsp">DDSP: Differentiable Digital Signal Processing</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>AI is being used to transform the most personal instrument we have, our voice, into something that can be “played.” This is fascinating in and of itself, but Yotam Mann from Never Before Heard Sounds is doing so much more! In this episode, he describes how he is using neural nets to process audio in real time for musicians and how AI is poised to change the music industry forever.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://pssclabs.com/practicalai">PSSC Labs</a> – Solutions from PSSC Labs provide a cost effective, highly secure, and performance guarantee that organizations need to reach their AI and Machine Learning Goals. Learn more and and get a FREE consultation today at <a href="https://pssclabs.com/practicalai">pssclabs.com/practicalai</a></li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Yotam Mann – <a href="https://yotammann.info">Website</a>, <a href="https://github.com/tambien">GitHub</a>, <a href="https://x.com/yotammann">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://heardsounds.com/">Never Before Heard Sounds</a></li><li><a href="https://yotammann.info/">Yotam’s personal website</a></li><li><a href="https://heardsounds.com/holly-plus">Holly+</a></li><li><a href="https://heardsounds.com/hardware">Real Time Hardware for Audio Processing</a></li><li><a href="https://heardsounds.com/gan-style">gan.style</a></li><li><a href="https://arxiv.org/abs/1710.11153">Onsets and Frames (Piano Transcription)</a></li><li><a href="https://magenta.tensorflow.org/ddsp">DDSP: Differentiable Digital Signal Processing</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 03 Aug 2021 14:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/8a4f8e44/30328fcd.mp3" length="43489388" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2704</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>AI is being used to transform the most personal instrument we have, our voice, into something that can be “played.” This is fascinating in and of itself, but Yotam Mann from Never Before Heard Sounds is doing so much more! In this episode, he describes how he is using neural nets to process audio in real time for musicians and how AI is poised to change the music industry forever.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://pssclabs.com/practicalai">PSSC Labs</a> – Solutions from PSSC Labs provide a cost effective, highly secure, and performance guarantee that organizations need to reach their AI and Machine Learning Goals. Learn more and and get a FREE consultation today at <a href="https://pssclabs.com/practicalai">pssclabs.com/practicalai</a></li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Yotam Mann – <a href="https://yotammann.info">Website</a>, <a href="https://github.com/tambien">GitHub</a>, <a href="https://x.com/yotammann">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://heardsounds.com/">Never Before Heard Sounds</a></li><li><a href="https://yotammann.info/">Yotam’s personal website</a></li><li><a href="https://heardsounds.com/holly-plus">Holly+</a></li><li><a href="https://heardsounds.com/hardware">Real Time Hardware for Audio Processing</a></li><li><a href="https://heardsounds.com/gan-style">gan.style</a></li><li><a href="https://arxiv.org/abs/1710.11153">Onsets and Frames (Piano Transcription)</a></li><li><a href="https://magenta.tensorflow.org/ddsp">DDSP: Differentiable Digital Signal Processing</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/yotammann" img="https://img.transistorcdn.com/u39Imn2W9LVs5eenx2Kg1ydObGuFR1LPHG46VWIWm2s/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zNzJi/MTE4MmRmNjBjMzI0/MmE2M2M1ZDZiMmY0/NjE3ZC5qcGc.jpg">Yotam Mann</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Building a data team</title>
      <itunes:episode>142</itunes:episode>
      <podcast:episode>142</podcast:episode>
      <itunes:title>Building a data team</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1416</guid>
      <link>https://share.transistor.fm/s/e49da57b</link>
      <description>
        <![CDATA[<p>Inspired by a recent article from Erik Bernhardsson titled “<a href="https://erikbern.com/2021/07/07/the-data-team-a-short-story.html">Building a data team at a mid-stage startup: a short story</a>”, Chris and Daniel discuss all things AI/data team building. They share some stories from their experiences kick starting AI efforts at various organizations and weight the pro and cons of things like centralized data management, prototype development, and a focus on engineering skills.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://pssclabs.com/practicalai">PSSC Labs</a> – Solutions from PSSC Labs provide a cost effective, highly secure, and performance guarantee that organizations need to reach their AI and Machine Learning Goals. Learn more and and get a FREE consultation today at <a href="https://pssclabs.com/practicalai">pssclabs.com/practicalai</a></li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://erikbern.com/2021/07/07/the-data-team-a-short-story.html">“Building a data team at a mid-stage startup: a short story” by Erik Bernhardsson</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1781333335">“Cracking The Data Code” by Mike Bugembe</a></li><li><a href="https://www.amazon.com/dp/B00SXHFTAS">“Data Driven” by DJ Patil and Hilary Mason</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Inspired by a recent article from Erik Bernhardsson titled “<a href="https://erikbern.com/2021/07/07/the-data-team-a-short-story.html">Building a data team at a mid-stage startup: a short story</a>”, Chris and Daniel discuss all things AI/data team building. They share some stories from their experiences kick starting AI efforts at various organizations and weight the pro and cons of things like centralized data management, prototype development, and a focus on engineering skills.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://pssclabs.com/practicalai">PSSC Labs</a> – Solutions from PSSC Labs provide a cost effective, highly secure, and performance guarantee that organizations need to reach their AI and Machine Learning Goals. Learn more and and get a FREE consultation today at <a href="https://pssclabs.com/practicalai">pssclabs.com/practicalai</a></li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://erikbern.com/2021/07/07/the-data-team-a-short-story.html">“Building a data team at a mid-stage startup: a short story” by Erik Bernhardsson</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1781333335">“Cracking The Data Code” by Mike Bugembe</a></li><li><a href="https://www.amazon.com/dp/B00SXHFTAS">“Data Driven” by DJ Patil and Hilary Mason</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 27 Jul 2021 10:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/e49da57b/46d6eead.mp3" length="44094689" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2741</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Inspired by a recent article from Erik Bernhardsson titled “<a href="https://erikbern.com/2021/07/07/the-data-team-a-short-story.html">Building a data team at a mid-stage startup: a short story</a>”, Chris and Daniel discuss all things AI/data team building. They share some stories from their experiences kick starting AI efforts at various organizations and weight the pro and cons of things like centralized data management, prototype development, and a focus on engineering skills.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://pssclabs.com/practicalai">PSSC Labs</a> – Solutions from PSSC Labs provide a cost effective, highly secure, and performance guarantee that organizations need to reach their AI and Machine Learning Goals. Learn more and and get a FREE consultation today at <a href="https://pssclabs.com/practicalai">pssclabs.com/practicalai</a></li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://erikbern.com/2021/07/07/the-data-team-a-short-story.html">“Building a data team at a mid-stage startup: a short story” by Erik Bernhardsson</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1781333335">“Cracking The Data Code” by Mike Bugembe</a></li><li><a href="https://www.amazon.com/dp/B00SXHFTAS">“Data Driven” by DJ Patil and Hilary Mason</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Towards stability and robustness</title>
      <itunes:episode>141</itunes:episode>
      <podcast:episode>141</podcast:episode>
      <itunes:title>Towards stability and robustness</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1415</guid>
      <link>https://share.transistor.fm/s/1f18c42f</link>
      <description>
        <![CDATA[<p>9 out of 10 AI projects don’t end up creating value in production. Why? At least partly because these projects utilize unstable models and drifting data. In this episode, Roey from BeyondMinds gives us some insights on how to filter garbage input, detect risky output, and generally develop more robust AI systems.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://pssclabs.com/practicalai">PSSC Labs</a> – Solutions from PSSC Labs provide a cost effective, highly secure, and performance guarantee that organizations need to reach their AI and Machine Learning Goals. Learn more and and get a FREE consultation today at <a href="https://pssclabs.com/practicalai">pssclabs.com/practicalai</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Roey Mechrez – <a href="https://www.linkedin.com/in/roey-mechrez">LinkedIn</a>, <a href="https://x.com/roeyme">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://youtu.be/5cp_JBrDZvk">NVIDIA GTC21 Talk on “Addressing Garbage In Garbage Out”</a></li><li><a href="https://beyondminds.ai/">BeyondMinds</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>9 out of 10 AI projects don’t end up creating value in production. Why? At least partly because these projects utilize unstable models and drifting data. In this episode, Roey from BeyondMinds gives us some insights on how to filter garbage input, detect risky output, and generally develop more robust AI systems.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://pssclabs.com/practicalai">PSSC Labs</a> – Solutions from PSSC Labs provide a cost effective, highly secure, and performance guarantee that organizations need to reach their AI and Machine Learning Goals. Learn more and and get a FREE consultation today at <a href="https://pssclabs.com/practicalai">pssclabs.com/practicalai</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Roey Mechrez – <a href="https://www.linkedin.com/in/roey-mechrez">LinkedIn</a>, <a href="https://x.com/roeyme">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://youtu.be/5cp_JBrDZvk">NVIDIA GTC21 Talk on “Addressing Garbage In Garbage Out”</a></li><li><a href="https://beyondminds.ai/">BeyondMinds</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 20 Jul 2021 11:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/1f18c42f/7b62fd2f.mp3" length="46786217" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2912</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>9 out of 10 AI projects don’t end up creating value in production. Why? At least partly because these projects utilize unstable models and drifting data. In this episode, Roey from BeyondMinds gives us some insights on how to filter garbage input, detect risky output, and generally develop more robust AI systems.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://pssclabs.com/practicalai">PSSC Labs</a> – Solutions from PSSC Labs provide a cost effective, highly secure, and performance guarantee that organizations need to reach their AI and Machine Learning Goals. Learn more and and get a FREE consultation today at <a href="https://pssclabs.com/practicalai">pssclabs.com/practicalai</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Roey Mechrez – <a href="https://www.linkedin.com/in/roey-mechrez">LinkedIn</a>, <a href="https://x.com/roeyme">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://youtu.be/5cp_JBrDZvk">NVIDIA GTC21 Talk on “Addressing Garbage In Garbage Out”</a></li><li><a href="https://beyondminds.ai/">BeyondMinds</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/roeyme" img="https://img.transistorcdn.com/UU1agpN_f8V-Gr-4kmyjpFT6pdbh-7GZJLJ1WmEiy6Y/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81NjA5/YjFlOTQzMTUyMDI3/NDU1YmZhOWExNmM3/N2NmZS5qcGc.jpg">Roey Mechrez</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>From symbols to AI pair programmers 💻</title>
      <itunes:episode>140</itunes:episode>
      <podcast:episode>140</podcast:episode>
      <itunes:title>From symbols to AI pair programmers 💻</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1404</guid>
      <link>https://share.transistor.fm/s/d3329d33</link>
      <description>
        <![CDATA[<p>How did we get from symbolic AI to deep learning models that help you write code (i.e., GitHub and OpenAI’s new Copilot)? That’s what Chris and Daniel discuss in this episode about the history and future of deep learning (with some help from an article recently published in ACM and written by the luminaries of deep learning).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://pssclabs.com/practicalai">PSSC Labs</a> – Solutions from PSSC Labs provide a cost effective, highly secure, and performance guarantee that organizations need to reach their AI and Machine Learning Goals. Learn more and and get a FREE consultation today at <a href="https://pssclabs.com/practicalai">pssclabs.com/practicalai</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://cacm.acm.org/magazines/2021/7/253464-deep-learning-for-ai/fulltext">ACM article: “Deep Learning for AI”</a></li><li><a href="https://copilot.github.com/">GitHub Copilot</a></li></ul><p>Books</p><ul><li><a href="https://www.manning.com/books/human-in-the-loop-machine-learning">“Human-in-the-Loop Machine Learning” by Robert (Munro) Monarch</a> (use <strong>podpracticalAI19</strong> for 40% off)</li><li><a href="https://www.amazon.com/dp/1541675797">“A Thousand Brains” by Jeff Hawkins</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>How did we get from symbolic AI to deep learning models that help you write code (i.e., GitHub and OpenAI’s new Copilot)? That’s what Chris and Daniel discuss in this episode about the history and future of deep learning (with some help from an article recently published in ACM and written by the luminaries of deep learning).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://pssclabs.com/practicalai">PSSC Labs</a> – Solutions from PSSC Labs provide a cost effective, highly secure, and performance guarantee that organizations need to reach their AI and Machine Learning Goals. Learn more and and get a FREE consultation today at <a href="https://pssclabs.com/practicalai">pssclabs.com/practicalai</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://cacm.acm.org/magazines/2021/7/253464-deep-learning-for-ai/fulltext">ACM article: “Deep Learning for AI”</a></li><li><a href="https://copilot.github.com/">GitHub Copilot</a></li></ul><p>Books</p><ul><li><a href="https://www.manning.com/books/human-in-the-loop-machine-learning">“Human-in-the-Loop Machine Learning” by Robert (Munro) Monarch</a> (use <strong>podpracticalAI19</strong> for 40% off)</li><li><a href="https://www.amazon.com/dp/1541675797">“A Thousand Brains” by Jeff Hawkins</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 13 Jul 2021 11:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/d3329d33/de510215.mp3" length="46896234" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2918</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>How did we get from symbolic AI to deep learning models that help you write code (i.e., GitHub and OpenAI’s new Copilot)? That’s what Chris and Daniel discuss in this episode about the history and future of deep learning (with some help from an article recently published in ACM and written by the luminaries of deep learning).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://pssclabs.com/practicalai">PSSC Labs</a> – Solutions from PSSC Labs provide a cost effective, highly secure, and performance guarantee that organizations need to reach their AI and Machine Learning Goals. Learn more and and get a FREE consultation today at <a href="https://pssclabs.com/practicalai">pssclabs.com/practicalai</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://cacm.acm.org/magazines/2021/7/253464-deep-learning-for-ai/fulltext">ACM article: “Deep Learning for AI”</a></li><li><a href="https://copilot.github.com/">GitHub Copilot</a></li></ul><p>Books</p><ul><li><a href="https://www.manning.com/books/human-in-the-loop-machine-learning">“Human-in-the-Loop Machine Learning” by Robert (Munro) Monarch</a> (use <strong>podpracticalAI19</strong> for 40% off)</li><li><a href="https://www.amazon.com/dp/1541675797">“A Thousand Brains” by Jeff Hawkins</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Vector databases for machine learning</title>
      <itunes:episode>139</itunes:episode>
      <podcast:episode>139</podcast:episode>
      <itunes:title>Vector databases for machine learning</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1389</guid>
      <link>https://share.transistor.fm/s/a95b21be</link>
      <description>
        <![CDATA[<p>Pinecone is the first vector database for machine learning. Edo Liberty explains to Chris how vector similarity search works, and its advantages over traditional database approaches for machine learning. It enables one to search through billions of vector embeddings for similar matches, in milliseconds, and Pinecone is a managed service that puts this capability at the fingertips of machine learning practitioners.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://pssclabs.com/practicalai">PSSC Labs</a> – Solutions from PSSC Labs provide a cost effective, highly secure, and performance guarantee that organizations need to reach their AI and Machine Learning Goals. Learn more and and get a FREE consultation today at <a href="https://pssclabs.com/practicalai">pssclabs.com/practicalai</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Edo Liberty – <a href="https://edoliberty.github.io">Website</a>, <a href="https://github.com/edoliberty">GitHub</a>, <a href="https://www.linkedin.com/in/edo-liberty-4380164">LinkedIn</a>, <a href="https://x.com/edoliberty">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://pinecone.io">Pinecone | Website</a></li><li><a href="https://twitter.com/Pinecone_io">Pinecone | Twitter</a></li><li><a href="https://www.linkedin.com/company/pinecone-io">Pinecone | LinkedIn</a></li><li><a href="https://www.nextplatform.com/2021/03/11/its-time-to-start-paying-attention-to-vector-databases">TheNextPlatform - It’s Time to Start Paying Attention to Vector Databases</a></li><li><a href="https://thenewstack.io/pinecone-a-vector-database-for-machine-learning-applications">TheNewStack - Pinecone: A Vector Database for Machine Learning Applications</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Pinecone is the first vector database for machine learning. Edo Liberty explains to Chris how vector similarity search works, and its advantages over traditional database approaches for machine learning. It enables one to search through billions of vector embeddings for similar matches, in milliseconds, and Pinecone is a managed service that puts this capability at the fingertips of machine learning practitioners.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://pssclabs.com/practicalai">PSSC Labs</a> – Solutions from PSSC Labs provide a cost effective, highly secure, and performance guarantee that organizations need to reach their AI and Machine Learning Goals. Learn more and and get a FREE consultation today at <a href="https://pssclabs.com/practicalai">pssclabs.com/practicalai</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Edo Liberty – <a href="https://edoliberty.github.io">Website</a>, <a href="https://github.com/edoliberty">GitHub</a>, <a href="https://www.linkedin.com/in/edo-liberty-4380164">LinkedIn</a>, <a href="https://x.com/edoliberty">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://pinecone.io">Pinecone | Website</a></li><li><a href="https://twitter.com/Pinecone_io">Pinecone | Twitter</a></li><li><a href="https://www.linkedin.com/company/pinecone-io">Pinecone | LinkedIn</a></li><li><a href="https://www.nextplatform.com/2021/03/11/its-time-to-start-paying-attention-to-vector-databases">TheNextPlatform - It’s Time to Start Paying Attention to Vector Databases</a></li><li><a href="https://thenewstack.io/pinecone-a-vector-database-for-machine-learning-applications">TheNewStack - Pinecone: A Vector Database for Machine Learning Applications</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 22 Jun 2021 12:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/a95b21be/fa690ca7.mp3" length="41145159" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2557</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Pinecone is the first vector database for machine learning. Edo Liberty explains to Chris how vector similarity search works, and its advantages over traditional database approaches for machine learning. It enables one to search through billions of vector embeddings for similar matches, in milliseconds, and Pinecone is a managed service that puts this capability at the fingertips of machine learning practitioners.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://pssclabs.com/practicalai">PSSC Labs</a> – Solutions from PSSC Labs provide a cost effective, highly secure, and performance guarantee that organizations need to reach their AI and Machine Learning Goals. Learn more and and get a FREE consultation today at <a href="https://pssclabs.com/practicalai">pssclabs.com/practicalai</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Edo Liberty – <a href="https://edoliberty.github.io">Website</a>, <a href="https://github.com/edoliberty">GitHub</a>, <a href="https://www.linkedin.com/in/edo-liberty-4380164">LinkedIn</a>, <a href="https://x.com/edoliberty">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://pinecone.io">Pinecone | Website</a></li><li><a href="https://twitter.com/Pinecone_io">Pinecone | Twitter</a></li><li><a href="https://www.linkedin.com/company/pinecone-io">Pinecone | LinkedIn</a></li><li><a href="https://www.nextplatform.com/2021/03/11/its-time-to-start-paying-attention-to-vector-databases">TheNextPlatform - It’s Time to Start Paying Attention to Vector Databases</a></li><li><a href="https://thenewstack.io/pinecone-a-vector-database-for-machine-learning-applications">TheNewStack - Pinecone: A Vector Database for Machine Learning Applications</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/edoliberty" img="https://img.transistorcdn.com/EvSzklZNqtkeWumfMHnZp4zOiF8F8fSO9Z0hzpWes_0/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wZjc3/NGRhZjhjYzBhODUz/NTc5MjhlOGJlMGRi/ZDU0NC5qcGc.jpg">Edo Liberty</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
    </item>
    <item>
      <title>Multi-GPU training is hard (without PyTorch Lightning)</title>
      <itunes:episode>138</itunes:episode>
      <podcast:episode>138</podcast:episode>
      <itunes:title>Multi-GPU training is hard (without PyTorch Lightning)</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1384</guid>
      <link>https://share.transistor.fm/s/30369d53</link>
      <description>
        <![CDATA[<p>William Falcon wants AI practitioners to spend more time on model development, and less time on engineering. PyTorch Lightning is a lightweight PyTorch wrapper for high-performance AI research that lets you train on multiple-GPUs, TPUs, CPUs and even in 16-bit precision without changing your code! In this episode, we dig deep into Lightning, how it works, and what it is enabling. William also discusses the Grid AI platform (built on top of PyTorch Lightning). This platform lets you seamlessly train 100s of Machine Learning models on the cloud from your laptop.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>William Falcon – <a href="https://www.williamfalcon.com">Website</a>, <a href="https://github.com/williamFalcon">GitHub</a>, <a href="https://x.com/_willfalcon">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.pytorchlightning.ai">PyTorch Lightning | Website</a></li><li><a href="https://twitter.com/PyTorchLightnin">PyTorch Lightning | Twitter</a></li><li><a href="https://www.linkedin.com/company/pytorch-lightning">PyTorch Lightning | LinkedIn</a></li><li><a href="https://github.com/PyTorchLightning/pytorch-lightning">PyTorch Lightning | GitHub</a></li><li><a href="https://www.grid.ai">Grid.ai | Website</a></li><li><a href="https://twitter.com/gridai_">Grid.ai | Twitter</a></li><li><a href="https://www.linkedin.com/company/grid-ai">Grid.ai | LinkedIn</a></li><li><a href="https://www.businesswire.com/news/home/20201008005227/en/Grid-AI-From-the-Makers-of-PyTorch-Lightning-Emerges-From-Stealth-With-18.6m-Series-A-to-Close-the-Gap-Between-AI-Research-and-Production">Grid AI, From the Makers of PyTorch Lightning, Emerges From Stealth With $18.6m Series A to Close the Gap Between AI Research and Production</a></li><li><a href="https://techcrunch.com/2020/10/08/grid-ai-raises-18-6m-series-a-to-help-ai-researchers-and-engineers-bring-their-models-to-production">Grid AI raises $18.6M Series A to help AI researchers and engineers bring their models to production<br></a><br></li><li><a href="https://www.prnewswire.com/news-releases/gridai-launches-platform-to-train-machine-learning-models-in-the-cloud-301267901.html">Grid.ai Launches Platform to Train Machine Learning Models in the Cloud</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>William Falcon wants AI practitioners to spend more time on model development, and less time on engineering. PyTorch Lightning is a lightweight PyTorch wrapper for high-performance AI research that lets you train on multiple-GPUs, TPUs, CPUs and even in 16-bit precision without changing your code! In this episode, we dig deep into Lightning, how it works, and what it is enabling. William also discusses the Grid AI platform (built on top of PyTorch Lightning). This platform lets you seamlessly train 100s of Machine Learning models on the cloud from your laptop.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>William Falcon – <a href="https://www.williamfalcon.com">Website</a>, <a href="https://github.com/williamFalcon">GitHub</a>, <a href="https://x.com/_willfalcon">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.pytorchlightning.ai">PyTorch Lightning | Website</a></li><li><a href="https://twitter.com/PyTorchLightnin">PyTorch Lightning | Twitter</a></li><li><a href="https://www.linkedin.com/company/pytorch-lightning">PyTorch Lightning | LinkedIn</a></li><li><a href="https://github.com/PyTorchLightning/pytorch-lightning">PyTorch Lightning | GitHub</a></li><li><a href="https://www.grid.ai">Grid.ai | Website</a></li><li><a href="https://twitter.com/gridai_">Grid.ai | Twitter</a></li><li><a href="https://www.linkedin.com/company/grid-ai">Grid.ai | LinkedIn</a></li><li><a href="https://www.businesswire.com/news/home/20201008005227/en/Grid-AI-From-the-Makers-of-PyTorch-Lightning-Emerges-From-Stealth-With-18.6m-Series-A-to-Close-the-Gap-Between-AI-Research-and-Production">Grid AI, From the Makers of PyTorch Lightning, Emerges From Stealth With $18.6m Series A to Close the Gap Between AI Research and Production</a></li><li><a href="https://techcrunch.com/2020/10/08/grid-ai-raises-18-6m-series-a-to-help-ai-researchers-and-engineers-bring-their-models-to-production">Grid AI raises $18.6M Series A to help AI researchers and engineers bring their models to production<br></a><br></li><li><a href="https://www.prnewswire.com/news-releases/gridai-launches-platform-to-train-machine-learning-models-in-the-cloud-301267901.html">Grid.ai Launches Platform to Train Machine Learning Models in the Cloud</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 15 Jun 2021 10:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2786</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>William Falcon wants AI practitioners to spend more time on model development, and less time on engineering. PyTorch Lightning is a lightweight PyTorch wrapper for high-performance AI research that lets you train on multiple-GPUs, TPUs, CPUs and even in 16-bit precision without changing your code! In this episode, we dig deep into Lightning, how it works, and what it is enabling. William also discusses the Grid AI platform (built on top of PyTorch Lightning). This platform lets you seamlessly train 100s of Machine Learning models on the cloud from your laptop.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>William Falcon – <a href="https://www.williamfalcon.com">Website</a>, <a href="https://github.com/williamFalcon">GitHub</a>, <a href="https://x.com/_willfalcon">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.pytorchlightning.ai">PyTorch Lightning | Website</a></li><li><a href="https://twitter.com/PyTorchLightnin">PyTorch Lightning | Twitter</a></li><li><a href="https://www.linkedin.com/company/pytorch-lightning">PyTorch Lightning | LinkedIn</a></li><li><a href="https://github.com/PyTorchLightning/pytorch-lightning">PyTorch Lightning | GitHub</a></li><li><a href="https://www.grid.ai">Grid.ai | Website</a></li><li><a href="https://twitter.com/gridai_">Grid.ai | Twitter</a></li><li><a href="https://www.linkedin.com/company/grid-ai">Grid.ai | LinkedIn</a></li><li><a href="https://www.businesswire.com/news/home/20201008005227/en/Grid-AI-From-the-Makers-of-PyTorch-Lightning-Emerges-From-Stealth-With-18.6m-Series-A-to-Close-the-Gap-Between-AI-Research-and-Production">Grid AI, From the Makers of PyTorch Lightning, Emerges From Stealth With $18.6m Series A to Close the Gap Between AI Research and Production</a></li><li><a href="https://techcrunch.com/2020/10/08/grid-ai-raises-18-6m-series-a-to-help-ai-researchers-and-engineers-bring-their-models-to-production">Grid AI raises $18.6M Series A to help AI researchers and engineers bring their models to production<br></a><br></li><li><a href="https://www.prnewswire.com/news-releases/gridai-launches-platform-to-train-machine-learning-models-in-the-cloud-301267901.html">Grid.ai Launches Platform to Train Machine Learning Models in the Cloud</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/williamfalcon" img="https://img.transistorcdn.com/cTZTGeJZF3noYnhg-_MMPWS2P-CX4uRW4kYQKzpDY4U/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zNjM2/M2IwMTAwNDY2ZmY4/ZGQ3MDgzYzMzODA1/NTJmZi5qcGc.jpg">William Falcon</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Learning to learn deep learning 📖</title>
      <itunes:episode>137</itunes:episode>
      <podcast:episode>137</podcast:episode>
      <itunes:title>Learning to learn deep learning 📖</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1376</guid>
      <link>https://share.transistor.fm/s/c9a98130</link>
      <description>
        <![CDATA[<p>Chris and Daniel sit down to chat about some exciting new AI developments including wav2vec-u (an unsupervised speech recognition model) and meta-learning (a new book about “How To Learn Deep Learning And Thrive In The Digital World”). Along the way they discuss engineering skills for AI developers and strategies for launching AI initiatives in established companies.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://ai.facebook.com/blog/wav2vec-unsupervised-speech-recognition-without-supervision/">High-performance speech recognition with no supervision at all</a></li><li><a href="https://www.deeplearning.ai/program/machine-learning-engineering-for-production-mlops/">deeplearning.ai MLOps course</a></li><li><a href="https://mlops.githubapp.com/">GitHub MLOps resources</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1781333335">“Cracking The Data Code” by Mike Bugembe</a></li><li><a href="https://rosmulski.gumroad.com/l/learn_machine_learning">“Meta Learning” by Radek Osmulski</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Chris and Daniel sit down to chat about some exciting new AI developments including wav2vec-u (an unsupervised speech recognition model) and meta-learning (a new book about “How To Learn Deep Learning And Thrive In The Digital World”). Along the way they discuss engineering skills for AI developers and strategies for launching AI initiatives in established companies.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://ai.facebook.com/blog/wav2vec-unsupervised-speech-recognition-without-supervision/">High-performance speech recognition with no supervision at all</a></li><li><a href="https://www.deeplearning.ai/program/machine-learning-engineering-for-production-mlops/">deeplearning.ai MLOps course</a></li><li><a href="https://mlops.githubapp.com/">GitHub MLOps resources</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1781333335">“Cracking The Data Code” by Mike Bugembe</a></li><li><a href="https://rosmulski.gumroad.com/l/learn_machine_learning">“Meta Learning” by Radek Osmulski</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 08 Jun 2021 14:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/c9a98130/1ddb4083.mp3" length="42303407" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2631</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Chris and Daniel sit down to chat about some exciting new AI developments including wav2vec-u (an unsupervised speech recognition model) and meta-learning (a new book about “How To Learn Deep Learning And Thrive In The Digital World”). Along the way they discuss engineering skills for AI developers and strategies for launching AI initiatives in established companies.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://ai.facebook.com/blog/wav2vec-unsupervised-speech-recognition-without-supervision/">High-performance speech recognition with no supervision at all</a></li><li><a href="https://www.deeplearning.ai/program/machine-learning-engineering-for-production-mlops/">deeplearning.ai MLOps course</a></li><li><a href="https://mlops.githubapp.com/">GitHub MLOps resources</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1781333335">“Cracking The Data Code” by Mike Bugembe</a></li><li><a href="https://rosmulski.gumroad.com/l/learn_machine_learning">“Meta Learning” by Radek Osmulski</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>The fastest way to build ML-powered apps</title>
      <itunes:episode>136</itunes:episode>
      <podcast:episode>136</podcast:episode>
      <itunes:title>The fastest way to build ML-powered apps</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1372</guid>
      <link>https://share.transistor.fm/s/9d384fbd</link>
      <description>
        <![CDATA[<p>Tuhin Srivastava tells Daniel and Chris why <a href="https://www.baseten.co">BaseTen</a> is <em>the</em> application development toolkit for data scientists. BaseTen’s goal is to make it simple to serve machine learning models, write custom business logic around them, and expose those through API endpoints without configuring any infrastructure.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Tuhin Srivastava – <a href="https://github.com/tuhins">GitHub</a>, <a href="https://x.com/tuhinone">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.baseten.co">BaseTen</a></li><li><a href="https://www.linkedin.com/company/baseten">BaseTen | LinkedIn</a></li><li><a href="https://twitter.com/basetenco">BaseTen | Twitter</a></li><li><a href="https://www.baseten.co/blog">BaseTen | Blog</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Tuhin Srivastava tells Daniel and Chris why <a href="https://www.baseten.co">BaseTen</a> is <em>the</em> application development toolkit for data scientists. BaseTen’s goal is to make it simple to serve machine learning models, write custom business logic around them, and expose those through API endpoints without configuring any infrastructure.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Tuhin Srivastava – <a href="https://github.com/tuhins">GitHub</a>, <a href="https://x.com/tuhinone">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.baseten.co">BaseTen</a></li><li><a href="https://www.linkedin.com/company/baseten">BaseTen | LinkedIn</a></li><li><a href="https://twitter.com/basetenco">BaseTen | Twitter</a></li><li><a href="https://www.baseten.co/blog">BaseTen | Blog</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 01 Jun 2021 18:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/9d384fbd/aaf9e360.mp3" length="41705854" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2594</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Tuhin Srivastava tells Daniel and Chris why <a href="https://www.baseten.co">BaseTen</a> is <em>the</em> application development toolkit for data scientists. BaseTen’s goal is to make it simple to serve machine learning models, write custom business logic around them, and expose those through API endpoints without configuring any infrastructure.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Tuhin Srivastava – <a href="https://github.com/tuhins">GitHub</a>, <a href="https://x.com/tuhinone">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.baseten.co">BaseTen</a></li><li><a href="https://www.linkedin.com/company/baseten">BaseTen | LinkedIn</a></li><li><a href="https://twitter.com/basetenco">BaseTen | Twitter</a></li><li><a href="https://www.baseten.co/blog">BaseTen | Blog</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/tuhinone" img="https://img.transistorcdn.com/SOXPRW_dWkvAAqlDVzY9OMoaHzF65ATxJO4VAw4hN6Y/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85YTQy/YWQ5YjNkYzRkNGU5/M2I2ZGQwYjgwM2U2/NDcwNS5qcGc.jpg">Tuhin Srivastava</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Elixir meets machine learning</title>
      <itunes:episode>135</itunes:episode>
      <podcast:episode>135</podcast:episode>
      <itunes:title>Elixir meets machine learning</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1369</guid>
      <link>https://share.transistor.fm/s/a0ca552f</link>
      <description>
        <![CDATA[<p>Today we’re sharing a special crossover episode from <a href="https://changelog.com/podcast">The Changelog podcast</a> here on Practical AI. Recently, Daniel Whitenack joined Jerod Santo to talk with José Valim, Elixir creator, about Numerical Elixir. This is José’s newest project that’s bringing Elixir into the world of machine learning. They discuss why José chose this as his next direction, the team’s layered approach, influences and collaborators on this effort, and their awesome collaborative notebook that’s built on Phoenix LiveView.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>José Valim – <a href="https://dashbit.co">Website</a>, <a href="https://github.com/josevalim">GitHub</a>, <a href="https://x.com/josevalim">X</a></li><li>Jerod Santo – <a href="https://github.com/jerodsanto">GitHub</a>, <a href="https://www.linkedin.com/in/jerodsanto">LinkedIn</a>, <a href="https://changelog.social/@jerod">Mastodon</a>, <a href="https://x.com/jerodsanto">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://dashbit.co/blog/nx-numerical-elixir-is-now-publicly-available">Nx (Numerical Elixir) is now publicly available</a></li><li><a href="https://github.com/elixir-nx/axon/">Axon</a></li><li><a href="https://github.com/elixir-nx/livebook">Livebook</a></li><li><a href="https://github.com/google/jax">Jax</a></li><li><a href="https://www.youtube.com/watch?v=RKvqc-UEe34">Livebook demo on YouTube</a></li><li><a href="https://erlef.org">Erlang Ecosystem Foundation</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/168050794X">“Genetic Algorithms in Elixir” by Sean Moriarity</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Today we’re sharing a special crossover episode from <a href="https://changelog.com/podcast">The Changelog podcast</a> here on Practical AI. Recently, Daniel Whitenack joined Jerod Santo to talk with José Valim, Elixir creator, about Numerical Elixir. This is José’s newest project that’s bringing Elixir into the world of machine learning. They discuss why José chose this as his next direction, the team’s layered approach, influences and collaborators on this effort, and their awesome collaborative notebook that’s built on Phoenix LiveView.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>José Valim – <a href="https://dashbit.co">Website</a>, <a href="https://github.com/josevalim">GitHub</a>, <a href="https://x.com/josevalim">X</a></li><li>Jerod Santo – <a href="https://github.com/jerodsanto">GitHub</a>, <a href="https://www.linkedin.com/in/jerodsanto">LinkedIn</a>, <a href="https://changelog.social/@jerod">Mastodon</a>, <a href="https://x.com/jerodsanto">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://dashbit.co/blog/nx-numerical-elixir-is-now-publicly-available">Nx (Numerical Elixir) is now publicly available</a></li><li><a href="https://github.com/elixir-nx/axon/">Axon</a></li><li><a href="https://github.com/elixir-nx/livebook">Livebook</a></li><li><a href="https://github.com/google/jax">Jax</a></li><li><a href="https://www.youtube.com/watch?v=RKvqc-UEe34">Livebook demo on YouTube</a></li><li><a href="https://erlef.org">Erlang Ecosystem Foundation</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/168050794X">“Genetic Algorithms in Elixir” by Sean Moriarity</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 26 May 2021 10:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/a0ca552f/301b8043.mp3" length="59590131" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3714</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Today we’re sharing a special crossover episode from <a href="https://changelog.com/podcast">The Changelog podcast</a> here on Practical AI. Recently, Daniel Whitenack joined Jerod Santo to talk with José Valim, Elixir creator, about Numerical Elixir. This is José’s newest project that’s bringing Elixir into the world of machine learning. They discuss why José chose this as his next direction, the team’s layered approach, influences and collaborators on this effort, and their awesome collaborative notebook that’s built on Phoenix LiveView.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>José Valim – <a href="https://dashbit.co">Website</a>, <a href="https://github.com/josevalim">GitHub</a>, <a href="https://x.com/josevalim">X</a></li><li>Jerod Santo – <a href="https://github.com/jerodsanto">GitHub</a>, <a href="https://www.linkedin.com/in/jerodsanto">LinkedIn</a>, <a href="https://changelog.social/@jerod">Mastodon</a>, <a href="https://x.com/jerodsanto">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://dashbit.co/blog/nx-numerical-elixir-is-now-publicly-available">Nx (Numerical Elixir) is now publicly available</a></li><li><a href="https://github.com/elixir-nx/axon/">Axon</a></li><li><a href="https://github.com/elixir-nx/livebook">Livebook</a></li><li><a href="https://github.com/google/jax">Jax</a></li><li><a href="https://www.youtube.com/watch?v=RKvqc-UEe34">Livebook demo on YouTube</a></li><li><a href="https://erlef.org">Erlang Ecosystem Foundation</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/168050794X">“Genetic Algorithms in Elixir” by Sean Moriarity</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/josevalim" img="https://img.transistorcdn.com/0of9Cg2c-YmgO6gNNSz14SmMhQCZJhz_bAxIHqixZq0/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kNTdl/ZGMwN2QxMzgwNThi/ZDc0OTFhYzEyZDRj/OGQ4Yy5qcGc.jpg">José Valim</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/jerodsanto" img="https://img.transistorcdn.com/4ynfahOBWUQNK-YP0MvuexJ-Idv-CKINobQjuuhReoc/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yMjIy/MWY0MmMzZTZlM2Y3/NzBjOTM3MDUxZGZh/YTBlYS5qcGVn.jpg">Jerod Santo</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Apache TVM and OctoML</title>
      <itunes:episode>134</itunes:episode>
      <podcast:episode>134</podcast:episode>
      <itunes:title>Apache TVM and OctoML</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1355</guid>
      <link>https://share.transistor.fm/s/25d635e8</link>
      <description>
        <![CDATA[<p>90% of AI / ML applications never make it to market, because fine tuning models for maximum performance across disparate ML software solutions and hardware backends requires a ton of manual labor and is cost-prohibitive. Luis Ceze and his team created Apache TVM at the University of Washington, then left founded OctoML to bring the project to market.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Luis Ceze – <a href="https://www.linkedin.com/in/luis-ceze-50b2314">LinkedIn</a>, <a href="https://x.com/luisceze">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://tvm.apache.org">Apache TVM</a></li><li><a href="https://octoml.ai">OctoML</a></li><li><a href="https://softwareengineeringdaily.com/2021/02/09/octoml-automated-deep-learning-engineering-with-jason-knight-and-luis-ceze">OctoML: Automated Deep Learning Engineering with Jason Knight and Luis Ceze</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>90% of AI / ML applications never make it to market, because fine tuning models for maximum performance across disparate ML software solutions and hardware backends requires a ton of manual labor and is cost-prohibitive. Luis Ceze and his team created Apache TVM at the University of Washington, then left founded OctoML to bring the project to market.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Luis Ceze – <a href="https://www.linkedin.com/in/luis-ceze-50b2314">LinkedIn</a>, <a href="https://x.com/luisceze">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://tvm.apache.org">Apache TVM</a></li><li><a href="https://octoml.ai">OctoML</a></li><li><a href="https://softwareengineeringdaily.com/2021/02/09/octoml-automated-deep-learning-engineering-with-jason-knight-and-luis-ceze">OctoML: Automated Deep Learning Engineering with Jason Knight and Luis Ceze</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 18 May 2021 16:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/25d635e8/804dded2.mp3" length="47344856" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2947</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>90% of AI / ML applications never make it to market, because fine tuning models for maximum performance across disparate ML software solutions and hardware backends requires a ton of manual labor and is cost-prohibitive. Luis Ceze and his team created Apache TVM at the University of Washington, then left founded OctoML to bring the project to market.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Luis Ceze – <a href="https://www.linkedin.com/in/luis-ceze-50b2314">LinkedIn</a>, <a href="https://x.com/luisceze">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://tvm.apache.org">Apache TVM</a></li><li><a href="https://octoml.ai">OctoML</a></li><li><a href="https://softwareengineeringdaily.com/2021/02/09/octoml-automated-deep-learning-engineering-with-jason-knight-and-luis-ceze">OctoML: Automated Deep Learning Engineering with Jason Knight and Luis Ceze</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/luisceze" img="https://img.transistorcdn.com/TbQSNCVMM2WVMfuZ9sWR6t2AOn4I4upo6qroYCTbz5A/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kMDhh/Yzg2OTQ4NTJiNmZj/ZWNiOTc3NjJiMWMw/MDdjNC5qcGc.jpg">Luis Ceze</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>25 years of speech technology innovation</title>
      <itunes:episode>133</itunes:episode>
      <podcast:episode>133</podcast:episode>
      <itunes:title>25 years of speech technology innovation</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1354</guid>
      <link>https://share.transistor.fm/s/b11c3f2d</link>
      <description>
        <![CDATA[<p>To say that Jeff Adams is a trailblazer when it comes to speech technology is an understatement. Along with many other notable accomplishments, his team at Amazon developed the Echo, Dash, and Fire TV changing our perception of how we could interact with devices in our home. Jeff now leads Cobalt Speech and Language, and he was kind enough to join us for a discussion about human computer interaction, multimodal AI tasks, the history of language modeling, and AI for social good.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Jeff Adams – <a href="https://www.linkedin.com/in/jamesdaff">LinkedIn</a>, <a href="https://x.com/jamesdaff">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.cobaltspeech.com/">Cobalt Speech and Language</a></li><li><a href="https://www.cobaltspeech.com/coblog/2020/4/16/building-blocks-of-voice-technology">Building Blocks of Speech Technology</a></li><li><a href="https://news.byu.edu/character/byu-students-creator-of-alexa-develop-software-to-preserve-cambodian-stories">Article: “BYU students, creator of Alexa develop software to preserve Cambodian stories”</a></li><li><a href="https://changelog.com/practicalai/82">Previous episode with Catherine Breslin (previously with Cobalt)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>To say that Jeff Adams is a trailblazer when it comes to speech technology is an understatement. Along with many other notable accomplishments, his team at Amazon developed the Echo, Dash, and Fire TV changing our perception of how we could interact with devices in our home. Jeff now leads Cobalt Speech and Language, and he was kind enough to join us for a discussion about human computer interaction, multimodal AI tasks, the history of language modeling, and AI for social good.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Jeff Adams – <a href="https://www.linkedin.com/in/jamesdaff">LinkedIn</a>, <a href="https://x.com/jamesdaff">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.cobaltspeech.com/">Cobalt Speech and Language</a></li><li><a href="https://www.cobaltspeech.com/coblog/2020/4/16/building-blocks-of-voice-technology">Building Blocks of Speech Technology</a></li><li><a href="https://news.byu.edu/character/byu-students-creator-of-alexa-develop-software-to-preserve-cambodian-stories">Article: “BYU students, creator of Alexa develop software to preserve Cambodian stories”</a></li><li><a href="https://changelog.com/practicalai/82">Previous episode with Catherine Breslin (previously with Cobalt)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 11 May 2021 15:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/b11c3f2d/045fe020.mp3" length="41116473" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2561</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>To say that Jeff Adams is a trailblazer when it comes to speech technology is an understatement. Along with many other notable accomplishments, his team at Amazon developed the Echo, Dash, and Fire TV changing our perception of how we could interact with devices in our home. Jeff now leads Cobalt Speech and Language, and he was kind enough to join us for a discussion about human computer interaction, multimodal AI tasks, the history of language modeling, and AI for social good.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://snowplowanalytics.com/">Snowplow Analytics</a> – The behavioral data management platform powering your data journey. Capture and process high-quality behavioral data from all your platforms and products and deliver that data to your cloud destination of choice. Get started and experience Snowplow data for yourself at <a href="https://snowplowanalytics.com">snowplowanalytics.com</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li></ul><p>Featuring:</p><ul><li>Jeff Adams – <a href="https://www.linkedin.com/in/jamesdaff">LinkedIn</a>, <a href="https://x.com/jamesdaff">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.cobaltspeech.com/">Cobalt Speech and Language</a></li><li><a href="https://www.cobaltspeech.com/coblog/2020/4/16/building-blocks-of-voice-technology">Building Blocks of Speech Technology</a></li><li><a href="https://news.byu.edu/character/byu-students-creator-of-alexa-develop-software-to-preserve-cambodian-stories">Article: “BYU students, creator of Alexa develop software to preserve Cambodian stories”</a></li><li><a href="https://changelog.com/practicalai/82">Previous episode with Catherine Breslin (previously with Cobalt)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/jamesdaff" img="https://img.transistorcdn.com/sxOer1Lk3O4wriQgg-LHOnuInqGh48Ml-3eiKezJG2k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kZjIx/ZDM2ZWQyYTMxZmY3/ZTllZWZhOTQ3MzA5/Y2ZiOC5qcGc.jpg">Jeff Adams</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Generating "hunches" using smart home data 🏠</title>
      <itunes:episode>132</itunes:episode>
      <podcast:episode>132</podcast:episode>
      <itunes:title>Generating "hunches" using smart home data 🏠</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1349</guid>
      <link>https://share.transistor.fm/s/63a2c17d</link>
      <description>
        <![CDATA[<p>Smart home data is complicated. There are all kinds of devices, and they are in many different combinations, geographies, configurations, etc. This complicated data situation is further exacerbated during a pandemic when time series data seems to be filled with anomalies. Evan Welbourne joins us to discuss how Amazon is synthesizing this disparate data into functionality for the next generation of smart homes. He discusses the challenges of working with smart home technology, and he describes how they developed their latest feature called “hunches.”</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Evan Welbourne – <a href="https://www.linkedin.com/in/evan-welbourne-51004b31">LinkedIn</a>, <a href="https://x.com/evanwelbourne">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.youtube.com/watch?v=whahElqS5eA&amp;feature=youtu.be">Video about hunches</a></li><li><a href="https://www.theverge.com/2021/1/25/22249044/amazon-alexa-update-proactive-hunches-guard-plus-subscription">Amazon’s Alexa can now act on its own hunches to turn off lights and more</a></li><li><a href="https://www.amazon.com/gp/help/customer/display.html?nodeId=G7F5F7K93GKSLC4F">What Are Alexa Hunches?</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Smart home data is complicated. There are all kinds of devices, and they are in many different combinations, geographies, configurations, etc. This complicated data situation is further exacerbated during a pandemic when time series data seems to be filled with anomalies. Evan Welbourne joins us to discuss how Amazon is synthesizing this disparate data into functionality for the next generation of smart homes. He discusses the challenges of working with smart home technology, and he describes how they developed their latest feature called “hunches.”</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Evan Welbourne – <a href="https://www.linkedin.com/in/evan-welbourne-51004b31">LinkedIn</a>, <a href="https://x.com/evanwelbourne">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.youtube.com/watch?v=whahElqS5eA&amp;feature=youtu.be">Video about hunches</a></li><li><a href="https://www.theverge.com/2021/1/25/22249044/amazon-alexa-update-proactive-hunches-guard-plus-subscription">Amazon’s Alexa can now act on its own hunches to turn off lights and more</a></li><li><a href="https://www.amazon.com/gp/help/customer/display.html?nodeId=G7F5F7K93GKSLC4F">What Are Alexa Hunches?</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 04 May 2021 11:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/63a2c17d/5a7bb0df.mp3" length="41155264" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2563</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Smart home data is complicated. There are all kinds of devices, and they are in many different combinations, geographies, configurations, etc. This complicated data situation is further exacerbated during a pandemic when time series data seems to be filled with anomalies. Evan Welbourne joins us to discuss how Amazon is synthesizing this disparate data into functionality for the next generation of smart homes. He discusses the challenges of working with smart home technology, and he describes how they developed their latest feature called “hunches.”</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Evan Welbourne – <a href="https://www.linkedin.com/in/evan-welbourne-51004b31">LinkedIn</a>, <a href="https://x.com/evanwelbourne">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.youtube.com/watch?v=whahElqS5eA&amp;feature=youtu.be">Video about hunches</a></li><li><a href="https://www.theverge.com/2021/1/25/22249044/amazon-alexa-update-proactive-hunches-guard-plus-subscription">Amazon’s Alexa can now act on its own hunches to turn off lights and more</a></li><li><a href="https://www.amazon.com/gp/help/customer/display.html?nodeId=G7F5F7K93GKSLC4F">What Are Alexa Hunches?</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/evanwelbourne" img="https://img.transistorcdn.com/dJuClMXVt1R7MdyExZ1EuqEtV-bdxhCPV9QEjyhGt-4/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85OGRj/Mjk4MzQzYWY5ODlm/YmJhYjBjMzk4ODkz/MWE2ZS5qcGVn.jpg">Evan Welbourne</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Mapping the world</title>
      <itunes:episode>131</itunes:episode>
      <podcast:episode>131</podcast:episode>
      <itunes:title>Mapping the world</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1347</guid>
      <link>https://share.transistor.fm/s/df3622cd</link>
      <description>
        <![CDATA[<p>Ro Gupta from CARMERA teaches Daniel and Chris all about road intelligence. CARMERA maintains the maps that move the world, from HD maps for automated driving to consumer maps for human navigation.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Ro Gupta – <a href="http://www.rocrastination.com">Website</a>, <a href="https://x.com/ro_gupta">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.carmera.com">CARMERA</a></li><li><a href="https://medium.com/field-of-view/the-mapping-hierarchy-of-needs-77100bea3426">The Mapping Hierarchy of Needs</a></li><li><a href="https://medium.com/field-of-view/mapping-change-when-it-matters-most-ebf1314fa8fa">Mapping Change When It Matters Most</a></li><li><a href="https://medium.com/field-of-view/carmera-and-tri-ad-demonstrate-further-progress-on-urban-and-highway-mapping-in-japan-and-the-us-a1d8a0a93504">CARMERA and Toyota Demonstrate Further Progress on Urban and Highway Mapping in Japan and the US</a></li><li><a href="https://medium.com/field-of-view/the-mapping-singularity-is-near-85dc4577b33d">The Mapping Singularity Is Near</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Ro Gupta from CARMERA teaches Daniel and Chris all about road intelligence. CARMERA maintains the maps that move the world, from HD maps for automated driving to consumer maps for human navigation.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Ro Gupta – <a href="http://www.rocrastination.com">Website</a>, <a href="https://x.com/ro_gupta">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.carmera.com">CARMERA</a></li><li><a href="https://medium.com/field-of-view/the-mapping-hierarchy-of-needs-77100bea3426">The Mapping Hierarchy of Needs</a></li><li><a href="https://medium.com/field-of-view/mapping-change-when-it-matters-most-ebf1314fa8fa">Mapping Change When It Matters Most</a></li><li><a href="https://medium.com/field-of-view/carmera-and-tri-ad-demonstrate-further-progress-on-urban-and-highway-mapping-in-japan-and-the-us-a1d8a0a93504">CARMERA and Toyota Demonstrate Further Progress on Urban and Highway Mapping in Japan and the US</a></li><li><a href="https://medium.com/field-of-view/the-mapping-singularity-is-near-85dc4577b33d">The Mapping Singularity Is Near</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 27 Apr 2021 15:15:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/df3622cd/6be2e307.mp3" length="51173633" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3191</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Ro Gupta from CARMERA teaches Daniel and Chris all about road intelligence. CARMERA maintains the maps that move the world, from HD maps for automated driving to consumer maps for human navigation.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Ro Gupta – <a href="http://www.rocrastination.com">Website</a>, <a href="https://x.com/ro_gupta">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.carmera.com">CARMERA</a></li><li><a href="https://medium.com/field-of-view/the-mapping-hierarchy-of-needs-77100bea3426">The Mapping Hierarchy of Needs</a></li><li><a href="https://medium.com/field-of-view/mapping-change-when-it-matters-most-ebf1314fa8fa">Mapping Change When It Matters Most</a></li><li><a href="https://medium.com/field-of-view/carmera-and-tri-ad-demonstrate-further-progress-on-urban-and-highway-mapping-in-japan-and-the-us-a1d8a0a93504">CARMERA and Toyota Demonstrate Further Progress on Urban and Highway Mapping in Japan and the US</a></li><li><a href="https://medium.com/field-of-view/the-mapping-singularity-is-near-85dc4577b33d">The Mapping Singularity Is Near</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/ro_gupta" img="https://img.transistorcdn.com/D2addKs1BWpgBAJAHp39JMlUVkwi6ZqpH_CWInWcXxI/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80ZmZi/NzE0N2YyMDBlMTky/ZWVjNjU2NWUwN2I5/NjYwNC5qcGc.jpg">Ro Gupta</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Data science for intuitive user experiences</title>
      <itunes:episode>130</itunes:episode>
      <podcast:episode>130</podcast:episode>
      <itunes:title>Data science for intuitive user experiences</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1343</guid>
      <link>https://share.transistor.fm/s/1a5e6385</link>
      <description>
        <![CDATA[<p>Nhung Ho joins Daniel and Chris to discuss how data science creates insights into financial operations and economic conditions. They delve into topics ranging from predictive forecasting to aid small businesses, to learning about the economic fallout from the COVID-19 Pandemic.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Nhung Ho – <a href="http://www.astro.yale.edu/nth4">Website</a>, <a href="https://www.linkedin.com/in/nhungho">LinkedIn</a>, <a href="https://x.com/nhungkia">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.intuit.com">Intuit Website</a></li><li><a href="https://www.intuit.com/blog/author/nhung-ho-director-of-data-science">Intuit Blog | Nhung Ho, Director of Data Science</a></li><li><a href="https://www.intuit.com/blog/technology/how-ai-can-help-build-resiliency-for-small-businesses-in-a-global-economic-crisis">Intuit Blog | How AI Can Help Build Resiliency for Small Businesses in a Global Economic Crisis</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Nhung Ho joins Daniel and Chris to discuss how data science creates insights into financial operations and economic conditions. They delve into topics ranging from predictive forecasting to aid small businesses, to learning about the economic fallout from the COVID-19 Pandemic.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Nhung Ho – <a href="http://www.astro.yale.edu/nth4">Website</a>, <a href="https://www.linkedin.com/in/nhungho">LinkedIn</a>, <a href="https://x.com/nhungkia">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.intuit.com">Intuit Website</a></li><li><a href="https://www.intuit.com/blog/author/nhung-ho-director-of-data-science">Intuit Blog | Nhung Ho, Director of Data Science</a></li><li><a href="https://www.intuit.com/blog/technology/how-ai-can-help-build-resiliency-for-small-businesses-in-a-global-economic-crisis">Intuit Blog | How AI Can Help Build Resiliency for Small Businesses in a Global Economic Crisis</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 20 Apr 2021 14:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/1a5e6385/f8417b3d.mp3" length="50981865" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3179</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Nhung Ho joins Daniel and Chris to discuss how data science creates insights into financial operations and economic conditions. They delve into topics ranging from predictive forecasting to aid small businesses, to learning about the economic fallout from the COVID-19 Pandemic.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Nhung Ho – <a href="http://www.astro.yale.edu/nth4">Website</a>, <a href="https://www.linkedin.com/in/nhungho">LinkedIn</a>, <a href="https://x.com/nhungkia">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.intuit.com">Intuit Website</a></li><li><a href="https://www.intuit.com/blog/author/nhung-ho-director-of-data-science">Intuit Blog | Nhung Ho, Director of Data Science</a></li><li><a href="https://www.intuit.com/blog/technology/how-ai-can-help-build-resiliency-for-small-businesses-in-a-global-economic-crisis">Intuit Blog | How AI Can Help Build Resiliency for Small Businesses in a Global Economic Crisis</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/nhungho" img="https://img.transistorcdn.com/2PgqPvUfqviHpuh76Xtv7Rnd8Gl3R_3baSbUP5dB47M/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81NDBh/NjNmMGY0ODU0ZTY5/NWEyMjllOGIxZmY2/NzI0Mi5qcGVn.jpg">Nhung Ho</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Going full bore with Graphcore!</title>
      <itunes:episode>129</itunes:episode>
      <podcast:episode>129</podcast:episode>
      <itunes:title>Going full bore with Graphcore!</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1335</guid>
      <link>https://share.transistor.fm/s/2fb2dbd4</link>
      <description>
        <![CDATA[<p>Dave Lacey takes Daniel and Chris on a journey that connects the user interfaces that we already know - TensorFlow and PyTorch - with the layers that connect to the underlying hardware. Along the way, we learn about Poplar Graph Framework Software. If you are the type of practitioner who values ‘under the hood’ knowledge, then this is the episode for you.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Dave Lacey – <a href="https://github.com/davelgraphcore">GitHub</a>, <a href="https://www.linkedin.com/in/david-lacey-743aa53">LinkedIn</a>, <a href="https://x.com/davel_gc">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.graphcore.ai">Graphcore</a></li><li><a href="https://www.graphcore.ai/products/poplar">Poplar Graph Framework Software</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Dave Lacey takes Daniel and Chris on a journey that connects the user interfaces that we already know - TensorFlow and PyTorch - with the layers that connect to the underlying hardware. Along the way, we learn about Poplar Graph Framework Software. If you are the type of practitioner who values ‘under the hood’ knowledge, then this is the episode for you.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Dave Lacey – <a href="https://github.com/davelgraphcore">GitHub</a>, <a href="https://www.linkedin.com/in/david-lacey-743aa53">LinkedIn</a>, <a href="https://x.com/davel_gc">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.graphcore.ai">Graphcore</a></li><li><a href="https://www.graphcore.ai/products/poplar">Poplar Graph Framework Software</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 13 Apr 2021 15:15:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/2fb2dbd4/9d808791.mp3" length="42840750" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2669</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Dave Lacey takes Daniel and Chris on a journey that connects the user interfaces that we already know - TensorFlow and PyTorch - with the layers that connect to the underlying hardware. Along the way, we learn about Poplar Graph Framework Software. If you are the type of practitioner who values ‘under the hood’ knowledge, then this is the episode for you.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Dave Lacey – <a href="https://github.com/davelgraphcore">GitHub</a>, <a href="https://www.linkedin.com/in/david-lacey-743aa53">LinkedIn</a>, <a href="https://x.com/davel_gc">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.graphcore.ai">Graphcore</a></li><li><a href="https://www.graphcore.ai/products/poplar">Poplar Graph Framework Software</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/davelacey" img="https://img.transistorcdn.com/0767mlc7y3NghQ6QTJIPlpokg0fzRkjNXKLYOPF2gY8/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84Yzdj/NWU5YjZjZWNiYmFj/NWE4MmRkMWI1MjU0/YzNhZC5qcGc.jpg">Dave Lacey</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Next-gen voice assistants</title>
      <itunes:episode>128</itunes:episode>
      <podcast:episode>128</podcast:episode>
      <itunes:title>Next-gen voice assistants</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1329</guid>
      <link>https://share.transistor.fm/s/36c3d094</link>
      <description>
        <![CDATA[<p>Nikola Mrkšić, CEO &amp; Co-Founder of PolyAI, takes Daniel and Chris on a deep dive into conversational AI, describing the underlying technologies, and teaching them about the next generation of voice assistants that will be capable of handling true human-level conversations. It’s an episode you’ll be talking about for a long time!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Nikola Mrkšić – <a href="https://github.com/nmrksic">GitHub</a>, <a href="https://x.com/nikola_mrksic">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>-<a href="https://www.polyai.com">PolyAI</a><br> -<a href="https://www.polyai.com/technology">The Science Behind PolyAI</a><br> -<a href="https://www.polyai.com/voice-assistants-languages-and-accents">How Customer Service Voice Assistants Handle Different Languages and Accents</a><br> -<a href="https://www.polyai.com/polyai-maintains-lead-over-ibm-watson-assistant-and-other-popular-open-source-language-models">PolyAI Maintains Lead Over IBM Watson Assistant and Other Popular Language Understanding Models</a><br> -<a href="https://www.polyai.com/polyais-convert-model-outperforms-bert-and-gpt-based-models">PolyAI’s ConveRT Model Outperforms BERT and GPT-Based Models in Salesforce Research Evaluation</a><br> -<a href="https://www.polyai.com/few-shot-slot-labeling-with-convex-the-most-accurate-value-extractor-on-the-market">Few-Shot Slot Labeling with ConVEx: The Most Accurate Value Extractor on The Market</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Nikola Mrkšić, CEO &amp; Co-Founder of PolyAI, takes Daniel and Chris on a deep dive into conversational AI, describing the underlying technologies, and teaching them about the next generation of voice assistants that will be capable of handling true human-level conversations. It’s an episode you’ll be talking about for a long time!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Nikola Mrkšić – <a href="https://github.com/nmrksic">GitHub</a>, <a href="https://x.com/nikola_mrksic">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>-<a href="https://www.polyai.com">PolyAI</a><br> -<a href="https://www.polyai.com/technology">The Science Behind PolyAI</a><br> -<a href="https://www.polyai.com/voice-assistants-languages-and-accents">How Customer Service Voice Assistants Handle Different Languages and Accents</a><br> -<a href="https://www.polyai.com/polyai-maintains-lead-over-ibm-watson-assistant-and-other-popular-open-source-language-models">PolyAI Maintains Lead Over IBM Watson Assistant and Other Popular Language Understanding Models</a><br> -<a href="https://www.polyai.com/polyais-convert-model-outperforms-bert-and-gpt-based-models">PolyAI’s ConveRT Model Outperforms BERT and GPT-Based Models in Salesforce Research Evaluation</a><br> -<a href="https://www.polyai.com/few-shot-slot-labeling-with-convex-the-most-accurate-value-extractor-on-the-market">Few-Shot Slot Labeling with ConVEx: The Most Accurate Value Extractor on The Market</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 06 Apr 2021 16:15:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/36c3d094/fadf4800.mp3" length="48906837" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3049</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Nikola Mrkšić, CEO &amp; Co-Founder of PolyAI, takes Daniel and Chris on a deep dive into conversational AI, describing the underlying technologies, and teaching them about the next generation of voice assistants that will be capable of handling true human-level conversations. It’s an episode you’ll be talking about for a long time!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Nikola Mrkšić – <a href="https://github.com/nmrksic">GitHub</a>, <a href="https://x.com/nikola_mrksic">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>-<a href="https://www.polyai.com">PolyAI</a><br> -<a href="https://www.polyai.com/technology">The Science Behind PolyAI</a><br> -<a href="https://www.polyai.com/voice-assistants-languages-and-accents">How Customer Service Voice Assistants Handle Different Languages and Accents</a><br> -<a href="https://www.polyai.com/polyai-maintains-lead-over-ibm-watson-assistant-and-other-popular-open-source-language-models">PolyAI Maintains Lead Over IBM Watson Assistant and Other Popular Language Understanding Models</a><br> -<a href="https://www.polyai.com/polyais-convert-model-outperforms-bert-and-gpt-based-models">PolyAI’s ConveRT Model Outperforms BERT and GPT-Based Models in Salesforce Research Evaluation</a><br> -<a href="https://www.polyai.com/few-shot-slot-labeling-with-convex-the-most-accurate-value-extractor-on-the-market">Few-Shot Slot Labeling with ConVEx: The Most Accurate Value Extractor on The Market</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/nikola_mrksic" img="https://img.transistorcdn.com/jQ5ICeb0BYdpVlC9UVBMEkTHZLs8sGeaK4QHuxk6Go8/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81ZjZi/MmRlZmMzN2UxNmY2/ZWYxY2FkZDhlNWI2/NTk1Ni5qcGVn.jpg">Nikola Mrkšić</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Women in Data Science (WiDS)</title>
      <itunes:episode>127</itunes:episode>
      <podcast:episode>127</podcast:episode>
      <itunes:title>Women in Data Science (WiDS)</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1169</guid>
      <link>https://share.transistor.fm/s/5c274ebf</link>
      <description>
        <![CDATA[<p>Chris has the privilege of talking with Stanford Professor Margot Gerritsen, who co-leads the Women in Data Science (WiDS) Worldwide Initiative. This is a conversation that everyone should listen to. Professor Gerritsen’s profound insights into how we can all help the women in our lives succeed - in data science and in life - is a ‘must listen’ episode for everyone, regardless of gender.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Margot Gerritsen – <a href="https://www.linkedin.com/in/margot-gerritsen-2b01084">LinkedIn</a>, <a href="https://x.com/margootjeg">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.widsconference.org">Women in Data Science (WiDS) Worldwide Initiative</a></li><li><a href="https://www.widsconference.org/podcast.html">WiDS Podcast</a></li><li><a href="https://www.youtube.com/watch?v=DrLNUBipwdQ">WiDS 2020 Opening Video</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0345472322">“Mindset” by Carol S. Dweck</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Chris has the privilege of talking with Stanford Professor Margot Gerritsen, who co-leads the Women in Data Science (WiDS) Worldwide Initiative. This is a conversation that everyone should listen to. Professor Gerritsen’s profound insights into how we can all help the women in our lives succeed - in data science and in life - is a ‘must listen’ episode for everyone, regardless of gender.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Margot Gerritsen – <a href="https://www.linkedin.com/in/margot-gerritsen-2b01084">LinkedIn</a>, <a href="https://x.com/margootjeg">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.widsconference.org">Women in Data Science (WiDS) Worldwide Initiative</a></li><li><a href="https://www.widsconference.org/podcast.html">WiDS Podcast</a></li><li><a href="https://www.youtube.com/watch?v=DrLNUBipwdQ">WiDS 2020 Opening Video</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0345472322">“Mindset” by Carol S. Dweck</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 30 Mar 2021 14:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/5c274ebf/a6f98dac.mp3" length="54621411" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3407</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Chris has the privilege of talking with Stanford Professor Margot Gerritsen, who co-leads the Women in Data Science (WiDS) Worldwide Initiative. This is a conversation that everyone should listen to. Professor Gerritsen’s profound insights into how we can all help the women in our lives succeed - in data science and in life - is a ‘must listen’ episode for everyone, regardless of gender.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Margot Gerritsen – <a href="https://www.linkedin.com/in/margot-gerritsen-2b01084">LinkedIn</a>, <a href="https://x.com/margootjeg">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.widsconference.org">Women in Data Science (WiDS) Worldwide Initiative</a></li><li><a href="https://www.widsconference.org/podcast.html">WiDS Podcast</a></li><li><a href="https://www.youtube.com/watch?v=DrLNUBipwdQ">WiDS 2020 Opening Video</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0345472322">“Mindset” by Carol S. Dweck</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/margootjeg" img="https://img.transistorcdn.com/QY5AhGqBkwwu7Klpk4WWO_j6t1Z4Tnyahc8RQLJz4HU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jMGJi/NzVmMjlkYjEyYzdj/NTgwZDgwMDk4ZWM5/OGQ0Mi5wbmc.jpg">Margot Gerritsen</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
    </item>
    <item>
      <title>Recommender systems and high-frequency trading</title>
      <itunes:episode>126</itunes:episode>
      <podcast:episode>126</podcast:episode>
      <itunes:title>Recommender systems and high-frequency trading</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1289</guid>
      <link>https://share.transistor.fm/s/bd1e5a42</link>
      <description>
        <![CDATA[<p>David Sweet, author of “Tuning Up: From A/B testing to Bayesian optimization”, introduces Dan and Chris to system tuning, and takes them from A/B testing to response surface methodology, contextual bandit, and finally bayesian optimization. Along the way, we get fascinating insights into recommender systems and high-frequency trading!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>David Sweet – <a href="https://www.linkedin.com/in/dsweet99">LinkedIn</a>, <a href="https://x.com/phinance99">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Books</p><ul><li><a href="https://www.manning.com/books/experimentation-for-engineers">“Experimentation for Engineers” by David Sweet</a><ul><li><a href="https://github.com/tuningup/tuningup">Tuning Up | GitHub</a></li><li>Manning 40% discount code: podpracticalAI19</li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>David Sweet, author of “Tuning Up: From A/B testing to Bayesian optimization”, introduces Dan and Chris to system tuning, and takes them from A/B testing to response surface methodology, contextual bandit, and finally bayesian optimization. Along the way, we get fascinating insights into recommender systems and high-frequency trading!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>David Sweet – <a href="https://www.linkedin.com/in/dsweet99">LinkedIn</a>, <a href="https://x.com/phinance99">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Books</p><ul><li><a href="https://www.manning.com/books/experimentation-for-engineers">“Experimentation for Engineers” by David Sweet</a><ul><li><a href="https://github.com/tuningup/tuningup">Tuning Up | GitHub</a></li><li>Manning 40% discount code: podpracticalAI19</li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 23 Mar 2021 14:35:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/bd1e5a42/6cc0dc4c.mp3" length="41787021" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2603</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>David Sweet, author of “Tuning Up: From A/B testing to Bayesian optimization”, introduces Dan and Chris to system tuning, and takes them from A/B testing to response surface methodology, contextual bandit, and finally bayesian optimization. Along the way, we get fascinating insights into recommender systems and high-frequency trading!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://rudderstack.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog">RudderStack</a> – Smart customer data pipeline made for developers. RudderStack is the smart customer data pipeline. Connect your whole customer data stack. Warehouse-first, open source Segment alternative. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>David Sweet – <a href="https://www.linkedin.com/in/dsweet99">LinkedIn</a>, <a href="https://x.com/phinance99">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Books</p><ul><li><a href="https://www.manning.com/books/experimentation-for-engineers">“Experimentation for Engineers” by David Sweet</a><ul><li><a href="https://github.com/tuningup/tuningup">Tuning Up | GitHub</a></li><li>Manning 40% discount code: podpracticalAI19</li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/dsweet" img="https://img.transistorcdn.com/VFSpkOL7GUEkIMhVb25_P35NBXvgMX1DH9Uk3QuDkfA/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9iYTFj/ZTM4YWI3M2Y5YTVm/NWNhNmU0YjcyODYw/OWNhMy5qcGVn.jpg">David Sweet</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Deep learning technology for drug discovery</title>
      <itunes:episode>125</itunes:episode>
      <podcast:episode>125</podcast:episode>
      <itunes:title>Deep learning technology for drug discovery</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1251</guid>
      <link>https://share.transistor.fm/s/8f9f5eb1</link>
      <description>
        <![CDATA[<p>Our Slack community wanted to hear about AI-driven drug discovery, and we listened. Abraham Heifets from Atomwise joins us for a fascinating deep dive into the intersection of deep learning models and molecule binding. He describes how these methods work and how they are beginning to help create drugs for “undruggable” diseases!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://www.heroku.com/podcasts/codeish">Code-ish by Heroku</a> – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out <a href="https://www.heroku.com/podcasts/codeish/98-the-ethical-side-of-deep-fakes">episode 98</a> and <a href="https://www.heroku.com/podcasts/codeish/99-the-technical-side-of-deep-fakes">episode 99</a> for insights on the ethical and technical sides of deep fakes. Subscribe on <a href="https://itunes.apple.com/us/podcast/code-ish/id1457879893">Apple Podcasts</a> and <a href="https://open.spotify.com/show/5VvkHRhd9E9SQf7i9HsPMd">Spotify</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Abe Heifets – <a href="https://x.com/AbeHeifets">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.atomwise.com/">Atomwise</a></li><li><a href="https://www.atomwise.com/2020/10/06/atomwise-receives-grant-to-develop-new-therapies-for-drug-resistant-malaria-and-tuberculosis/">Atomwise Receives a $2.3M Grant to Develop New Therapies for Drug Resistant Malaria and Tuberculosis</a></li><li><a href="https://www.atomwise.com/2020/05/21/atomwise-partners-with-global-research-teams-to-pursue-broad-spectrum-treatments-against-covid-19-and-future-coronavirus-outbreaks/">Atomwise Partners with Global Research Teams to Pursue Broad-Spectrum Treatments Against COVID-19 and Future Coronavirus Outbreaks</a></li><li><a href="https://en.wikipedia.org/wiki/RoboCup">World robotic soccer</a></li><li><a href="https://en.wikipedia.org/wiki/Philadelphia_chromosome">Philadelphia chromosome</a></li><li><a href="https://deepmind.com/research/case-studies/alphafold">Alphafold</a></li><li><a href="https://en.wikipedia.org/wiki/Canavan_disease">Canavan disease</a> example: <ul><li><a href="https://pubs.acs.org/doi/10.1021/acs.jmedchem.0c00473">Paper: “Discovery of Novel Inhibitors of a Critical Brain Enzyme Using a Homology Model and a Deep Convolutional Neural Network”</a></li></ul></li><li><a href="https://arxiv.org/abs/1510.02855">AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery</a></li><li>[“Memorizing yesterday’s stock price” example](Most Ligand-Based Classification Benchmarks Reward Memorization Rather than Generalization)</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Our Slack community wanted to hear about AI-driven drug discovery, and we listened. Abraham Heifets from Atomwise joins us for a fascinating deep dive into the intersection of deep learning models and molecule binding. He describes how these methods work and how they are beginning to help create drugs for “undruggable” diseases!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://www.heroku.com/podcasts/codeish">Code-ish by Heroku</a> – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out <a href="https://www.heroku.com/podcasts/codeish/98-the-ethical-side-of-deep-fakes">episode 98</a> and <a href="https://www.heroku.com/podcasts/codeish/99-the-technical-side-of-deep-fakes">episode 99</a> for insights on the ethical and technical sides of deep fakes. Subscribe on <a href="https://itunes.apple.com/us/podcast/code-ish/id1457879893">Apple Podcasts</a> and <a href="https://open.spotify.com/show/5VvkHRhd9E9SQf7i9HsPMd">Spotify</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Abe Heifets – <a href="https://x.com/AbeHeifets">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.atomwise.com/">Atomwise</a></li><li><a href="https://www.atomwise.com/2020/10/06/atomwise-receives-grant-to-develop-new-therapies-for-drug-resistant-malaria-and-tuberculosis/">Atomwise Receives a $2.3M Grant to Develop New Therapies for Drug Resistant Malaria and Tuberculosis</a></li><li><a href="https://www.atomwise.com/2020/05/21/atomwise-partners-with-global-research-teams-to-pursue-broad-spectrum-treatments-against-covid-19-and-future-coronavirus-outbreaks/">Atomwise Partners with Global Research Teams to Pursue Broad-Spectrum Treatments Against COVID-19 and Future Coronavirus Outbreaks</a></li><li><a href="https://en.wikipedia.org/wiki/RoboCup">World robotic soccer</a></li><li><a href="https://en.wikipedia.org/wiki/Philadelphia_chromosome">Philadelphia chromosome</a></li><li><a href="https://deepmind.com/research/case-studies/alphafold">Alphafold</a></li><li><a href="https://en.wikipedia.org/wiki/Canavan_disease">Canavan disease</a> example: <ul><li><a href="https://pubs.acs.org/doi/10.1021/acs.jmedchem.0c00473">Paper: “Discovery of Novel Inhibitors of a Critical Brain Enzyme Using a Homology Model and a Deep Convolutional Neural Network”</a></li></ul></li><li><a href="https://arxiv.org/abs/1510.02855">AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery</a></li><li>[“Memorizing yesterday’s stock price” example](Most Ligand-Based Classification Benchmarks Reward Memorization Rather than Generalization)</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 09 Mar 2021 17:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/8f9f5eb1/3a03dc1b.mp3" length="55020510" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3432</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Our Slack community wanted to hear about AI-driven drug discovery, and we listened. Abraham Heifets from Atomwise joins us for a fascinating deep dive into the intersection of deep learning models and molecule binding. He describes how these methods work and how they are beginning to help create drugs for “undruggable” diseases!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.oreilly.com/changelog">O'Reilly Media</a> – Learn by doing — Python, data, AI, machine learning, Kubernetes, Docker, and more. Just open your browser and dive in. Learn more and keep your teams’ skills sharp at <a href="https://www.oreilly.com/changelog">oreilly.com/changelog</a></li><li><a href="https://www.heroku.com/podcasts/codeish">Code-ish by Heroku</a> – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out <a href="https://www.heroku.com/podcasts/codeish/98-the-ethical-side-of-deep-fakes">episode 98</a> and <a href="https://www.heroku.com/podcasts/codeish/99-the-technical-side-of-deep-fakes">episode 99</a> for insights on the ethical and technical sides of deep fakes. Subscribe on <a href="https://itunes.apple.com/us/podcast/code-ish/id1457879893">Apple Podcasts</a> and <a href="https://open.spotify.com/show/5VvkHRhd9E9SQf7i9HsPMd">Spotify</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Abe Heifets – <a href="https://x.com/AbeHeifets">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.atomwise.com/">Atomwise</a></li><li><a href="https://www.atomwise.com/2020/10/06/atomwise-receives-grant-to-develop-new-therapies-for-drug-resistant-malaria-and-tuberculosis/">Atomwise Receives a $2.3M Grant to Develop New Therapies for Drug Resistant Malaria and Tuberculosis</a></li><li><a href="https://www.atomwise.com/2020/05/21/atomwise-partners-with-global-research-teams-to-pursue-broad-spectrum-treatments-against-covid-19-and-future-coronavirus-outbreaks/">Atomwise Partners with Global Research Teams to Pursue Broad-Spectrum Treatments Against COVID-19 and Future Coronavirus Outbreaks</a></li><li><a href="https://en.wikipedia.org/wiki/RoboCup">World robotic soccer</a></li><li><a href="https://en.wikipedia.org/wiki/Philadelphia_chromosome">Philadelphia chromosome</a></li><li><a href="https://deepmind.com/research/case-studies/alphafold">Alphafold</a></li><li><a href="https://en.wikipedia.org/wiki/Canavan_disease">Canavan disease</a> example: <ul><li><a href="https://pubs.acs.org/doi/10.1021/acs.jmedchem.0c00473">Paper: “Discovery of Novel Inhibitors of a Critical Brain Enzyme Using a Homology Model and a Deep Convolutional Neural Network”</a></li></ul></li><li><a href="https://arxiv.org/abs/1510.02855">AtomNet: A Deep Convolutional Neural Network for Bioactivity Prediction in Structure-based Drug Discovery</a></li><li>[“Memorizing yesterday’s stock price” example](Most Ligand-Based Classification Benchmarks Reward Memorization Rather than Generalization)</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/abeheifets" img="https://img.transistorcdn.com/ZTgz10OBoS5tM_va8Qq2s6RmgXh6lKVT0iTlB4gLk1I/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83YTk4/MDU1ZTRiM2UxZjNj/OThjMGFlZmRlMzBk/NGVmZi5qcGc.jpg">Abe Heifets</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Green AI 🌲</title>
      <itunes:episode>124</itunes:episode>
      <podcast:episode>124</podcast:episode>
      <itunes:title>Green AI 🌲</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1250</guid>
      <link>https://share.transistor.fm/s/c56e1572</link>
      <description>
        <![CDATA[<p>Empirical analysis from Roy Schwartz (Hebrew University of Jerusalem) and Jesse Dodge (AI2) suggests the AI research community has paid relatively little attention to computational efficiency. A focus on accuracy rather than efficiency increases the carbon footprint of AI research and increases research inequality. In this episode, Jesse and Roy advocate for increased research activity in Green AI (AI research that is more environmentally friendly and inclusive). They highlight success stories and help us understand the practicalities of making our workflows more efficient.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.heroku.com/podcasts/codeish">Code-ish by Heroku</a> – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out <a href="https://www.heroku.com/podcasts/codeish/98-the-ethical-side-of-deep-fakes">episode 98</a> and <a href="https://www.heroku.com/podcasts/codeish/99-the-technical-side-of-deep-fakes">episode 99</a> for insights on the ethical and technical sides of deep fakes. Subscribe on <a href="https://itunes.apple.com/us/podcast/code-ish/id1457879893">Apple Podcasts</a> and <a href="https://open.spotify.com/show/5VvkHRhd9E9SQf7i9HsPMd">Spotify</a>. </li><li><a href="https://www.knowable.fyi">Knowable</a> – Learn from the world’s best minds, anytime, anywhere, and at your own pace through audio. Get unlimited access to every Knowable audio course right now. <a href="https://www.knowable.fyi">Click here</a> to check it out and use code <strong>CHANGELOG</strong> for 20% off! </li></ul><p>Featuring:</p><ul><li>Roy Schwartz – <a href="https://schwartz-lab-huji.github.io">Website</a>, <a href="https://x.com/royschwartzNLP">X</a></li><li>Jesse Dodge – <a href="https://x.com/jessedodge">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://cacm.acm.org/magazines/2020/12/248800-green-ai/fulltext">Green AI article in the communications of the ACM</a></li><li><a href="https://www.technologyreview.com/2019/06/06/239031/training-a-single-ai-model-can-emit-as-much-carbon-as-five-cars-in-their-lifetimes/">Training a single AI model can emit as much carbon as five cars in their lifetimes</a></li><li><a href="https://arxiv.org/abs/2002.06305">Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping</a></li><li><a href="https://arxiv.org/pdf/1902.00751.pdf">Parameter-Efficient Transfer Learning for NLP</a></li><li><a href="https://2020.emnlp.org/blog/2020-05-20-reproducibility">Reproducibility at EMNLP 2020</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Empirical analysis from Roy Schwartz (Hebrew University of Jerusalem) and Jesse Dodge (AI2) suggests the AI research community has paid relatively little attention to computational efficiency. A focus on accuracy rather than efficiency increases the carbon footprint of AI research and increases research inequality. In this episode, Jesse and Roy advocate for increased research activity in Green AI (AI research that is more environmentally friendly and inclusive). They highlight success stories and help us understand the practicalities of making our workflows more efficient.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.heroku.com/podcasts/codeish">Code-ish by Heroku</a> – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out <a href="https://www.heroku.com/podcasts/codeish/98-the-ethical-side-of-deep-fakes">episode 98</a> and <a href="https://www.heroku.com/podcasts/codeish/99-the-technical-side-of-deep-fakes">episode 99</a> for insights on the ethical and technical sides of deep fakes. Subscribe on <a href="https://itunes.apple.com/us/podcast/code-ish/id1457879893">Apple Podcasts</a> and <a href="https://open.spotify.com/show/5VvkHRhd9E9SQf7i9HsPMd">Spotify</a>. </li><li><a href="https://www.knowable.fyi">Knowable</a> – Learn from the world’s best minds, anytime, anywhere, and at your own pace through audio. Get unlimited access to every Knowable audio course right now. <a href="https://www.knowable.fyi">Click here</a> to check it out and use code <strong>CHANGELOG</strong> for 20% off! </li></ul><p>Featuring:</p><ul><li>Roy Schwartz – <a href="https://schwartz-lab-huji.github.io">Website</a>, <a href="https://x.com/royschwartzNLP">X</a></li><li>Jesse Dodge – <a href="https://x.com/jessedodge">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://cacm.acm.org/magazines/2020/12/248800-green-ai/fulltext">Green AI article in the communications of the ACM</a></li><li><a href="https://www.technologyreview.com/2019/06/06/239031/training-a-single-ai-model-can-emit-as-much-carbon-as-five-cars-in-their-lifetimes/">Training a single AI model can emit as much carbon as five cars in their lifetimes</a></li><li><a href="https://arxiv.org/abs/2002.06305">Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping</a></li><li><a href="https://arxiv.org/pdf/1902.00751.pdf">Parameter-Efficient Transfer Learning for NLP</a></li><li><a href="https://2020.emnlp.org/blog/2020-05-20-reproducibility">Reproducibility at EMNLP 2020</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 02 Mar 2021 10:40:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/c56e1572/d270959a.mp3" length="57909839" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3613</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Empirical analysis from Roy Schwartz (Hebrew University of Jerusalem) and Jesse Dodge (AI2) suggests the AI research community has paid relatively little attention to computational efficiency. A focus on accuracy rather than efficiency increases the carbon footprint of AI research and increases research inequality. In this episode, Jesse and Roy advocate for increased research activity in Green AI (AI research that is more environmentally friendly and inclusive). They highlight success stories and help us understand the practicalities of making our workflows more efficient.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.heroku.com/podcasts/codeish">Code-ish by Heroku</a> – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out <a href="https://www.heroku.com/podcasts/codeish/98-the-ethical-side-of-deep-fakes">episode 98</a> and <a href="https://www.heroku.com/podcasts/codeish/99-the-technical-side-of-deep-fakes">episode 99</a> for insights on the ethical and technical sides of deep fakes. Subscribe on <a href="https://itunes.apple.com/us/podcast/code-ish/id1457879893">Apple Podcasts</a> and <a href="https://open.spotify.com/show/5VvkHRhd9E9SQf7i9HsPMd">Spotify</a>. </li><li><a href="https://www.knowable.fyi">Knowable</a> – Learn from the world’s best minds, anytime, anywhere, and at your own pace through audio. Get unlimited access to every Knowable audio course right now. <a href="https://www.knowable.fyi">Click here</a> to check it out and use code <strong>CHANGELOG</strong> for 20% off! </li></ul><p>Featuring:</p><ul><li>Roy Schwartz – <a href="https://schwartz-lab-huji.github.io">Website</a>, <a href="https://x.com/royschwartzNLP">X</a></li><li>Jesse Dodge – <a href="https://x.com/jessedodge">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://cacm.acm.org/magazines/2020/12/248800-green-ai/fulltext">Green AI article in the communications of the ACM</a></li><li><a href="https://www.technologyreview.com/2019/06/06/239031/training-a-single-ai-model-can-emit-as-much-carbon-as-five-cars-in-their-lifetimes/">Training a single AI model can emit as much carbon as five cars in their lifetimes</a></li><li><a href="https://arxiv.org/abs/2002.06305">Fine-Tuning Pretrained Language Models: Weight Initializations, Data Orders, and Early Stopping</a></li><li><a href="https://arxiv.org/pdf/1902.00751.pdf">Parameter-Efficient Transfer Learning for NLP</a></li><li><a href="https://2020.emnlp.org/blog/2020-05-20-reproducibility">Reproducibility at EMNLP 2020</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/royschwartz" img="https://img.transistorcdn.com/CSPL2qx9Uw1MH1elU6Fh9z0QQcfwB-8Fi93N00QRB0w/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85MTVl/YWYyMjM3NDI5OWU1/MWI1MTNkNmU1ZThh/M2NjNC5qcGc.jpg">Roy Schwartz</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/jessedodge" img="https://img.transistorcdn.com/33qlohJbjj1OFPgFmE_UgsEHe9ksWiFaHQqTIj9kW7o/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mNWIz/YzdmODhiNzc4Yjdm/MWY2OGVlYmJjYzMx/Y2I4Yy5qcGc.jpg">Jesse Dodge</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Low code, no code, accelerated code, &amp; failing code</title>
      <itunes:episode>123</itunes:episode>
      <podcast:episode>123</podcast:episode>
      <itunes:title>Low code, no code, accelerated code, &amp; failing code</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1213</guid>
      <link>https://share.transistor.fm/s/22650fd9</link>
      <description>
        <![CDATA[<p>In this Fully-Connected episode, Chris and Daniel discuss low code / no code development, GPU jargon, plus more data leakage issues. They also share some really cool new learning opportunities for leveling up your AI/ML game!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – Linode is our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a> OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>Follow up content from Rajiv Shah: <ul><li><a href="https://www.datarobot.com/blog/running-code-and-failing-models/">Running code and failing models</a></li><li><a href="https://changelog.com/practicalai/109">Rajiv’s previous episode</a></li></ul></li><li><a href="https://lambdalabs.com/gpu-benchmarks">Lambda Lab’s GPU benchmarks</a></li><li><a href="https://venturebeat.com/2020/12/30/you-dont-code-do-machine-learning-straight-from-microsoft-excel">Machine Learning in Microsoft Excel</a></li><li><a href="https://spectrum.ieee.org/computing/software/deep-learning-at-the-speed-of-light">Deep Learning at the Speed of Light</a></li><li>MLCommons and MLCube: <ul><li><a href="https://changelog.com/practicalai/119">Previous episode about MLCommons</a></li><li><a href="https://github.com/mlcommons/mlcube">MLCube project</a></li></ul></li><li>Learning Resources: <ul><li><a href="https://analyticsindiamag.com/yann-lecuns-deep-learning-course-is-now-free-fully-online">Yann LeCun’s Deep Learning Course Is Now Free &amp; Fully Online</a></li><li><a href="https://www.tensorflow.org/community/tf-everywhere">TensorFlow Everywhere</a></li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this Fully-Connected episode, Chris and Daniel discuss low code / no code development, GPU jargon, plus more data leakage issues. They also share some really cool new learning opportunities for leveling up your AI/ML game!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – Linode is our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a> OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>Follow up content from Rajiv Shah: <ul><li><a href="https://www.datarobot.com/blog/running-code-and-failing-models/">Running code and failing models</a></li><li><a href="https://changelog.com/practicalai/109">Rajiv’s previous episode</a></li></ul></li><li><a href="https://lambdalabs.com/gpu-benchmarks">Lambda Lab’s GPU benchmarks</a></li><li><a href="https://venturebeat.com/2020/12/30/you-dont-code-do-machine-learning-straight-from-microsoft-excel">Machine Learning in Microsoft Excel</a></li><li><a href="https://spectrum.ieee.org/computing/software/deep-learning-at-the-speed-of-light">Deep Learning at the Speed of Light</a></li><li>MLCommons and MLCube: <ul><li><a href="https://changelog.com/practicalai/119">Previous episode about MLCommons</a></li><li><a href="https://github.com/mlcommons/mlcube">MLCube project</a></li></ul></li><li>Learning Resources: <ul><li><a href="https://analyticsindiamag.com/yann-lecuns-deep-learning-course-is-now-free-fully-online">Yann LeCun’s Deep Learning Course Is Now Free &amp; Fully Online</a></li><li><a href="https://www.tensorflow.org/community/tf-everywhere">TensorFlow Everywhere</a></li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 23 Feb 2021 11:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2901</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this Fully-Connected episode, Chris and Daniel discuss low code / no code development, GPU jargon, plus more data leakage issues. They also share some really cool new learning opportunities for leveling up your AI/ML game!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – Linode is our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a> OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>Follow up content from Rajiv Shah: <ul><li><a href="https://www.datarobot.com/blog/running-code-and-failing-models/">Running code and failing models</a></li><li><a href="https://changelog.com/practicalai/109">Rajiv’s previous episode</a></li></ul></li><li><a href="https://lambdalabs.com/gpu-benchmarks">Lambda Lab’s GPU benchmarks</a></li><li><a href="https://venturebeat.com/2020/12/30/you-dont-code-do-machine-learning-straight-from-microsoft-excel">Machine Learning in Microsoft Excel</a></li><li><a href="https://spectrum.ieee.org/computing/software/deep-learning-at-the-speed-of-light">Deep Learning at the Speed of Light</a></li><li>MLCommons and MLCube: <ul><li><a href="https://changelog.com/practicalai/119">Previous episode about MLCommons</a></li><li><a href="https://github.com/mlcommons/mlcube">MLCube project</a></li></ul></li><li>Learning Resources: <ul><li><a href="https://analyticsindiamag.com/yann-lecuns-deep-learning-course-is-now-free-fully-online">Yann LeCun’s Deep Learning Course Is Now Free &amp; Fully Online</a></li><li><a href="https://www.tensorflow.org/community/tf-everywhere">TensorFlow Everywhere</a></li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>The AI doc will see you now</title>
      <itunes:episode>122</itunes:episode>
      <podcast:episode>122</podcast:episode>
      <itunes:title>The AI doc will see you now</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1206</guid>
      <link>https://share.transistor.fm/s/c3a0f05e</link>
      <description>
        <![CDATA[<p>Elad Walach of Aidoc joins Chris to talk about the use of AI for medical imaging interpretation. Starting with the world’s largest annotated training data set of medical images, Aidoc is the radiologist’s best friend, helping the doctor to interpret imagery faster, more accurately, and improving the imaging workflow along the way. Elad’s vision for the transformative future of AI in medicine clearly soothes Chris’s concern about managing his aging body in the years to come. ;-)</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.heroku.com/podcasts/codeish">Code-ish by Heroku</a> – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out <a href="https://www.heroku.com/podcasts/codeish/98-the-ethical-side-of-deep-fakes">episode 98</a> and <a href="https://www.heroku.com/podcasts/codeish/99-the-technical-side-of-deep-fakes">episode 99</a> for insights on the ethical and technical sides of deep fakes. Subscribe on <a href="https://itunes.apple.com/us/podcast/code-ish/id1457879893">Apple Podcasts</a> and <a href="https://open.spotify.com/show/5VvkHRhd9E9SQf7i9HsPMd">Spotify</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.knowable.fyi">Knowable</a> – Learn from the world’s best minds, anytime, anywhere, and at your own pace through audio. Get unlimited access to every Knowable audio course right now. <a href="https://www.knowable.fyi">Click here</a> to check it out and use code <strong>CHANGELOG</strong> for 20% off! </li></ul><p>Featuring:</p><ul><li>Elad Walach – <a href="https://www.linkedin.com/in/elad-walach">LinkedIn</a>, <a href="https://x.com/elad_walach">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.aidoc.com">Aidoc | Website</a></li><li><a href="https://www.linkedin.com/company/aidoc">Aidoc Medical | LinkedIn</a></li><li><a href="https://twitter.com/aidocmed">Aidoc | Twitter</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Elad Walach of Aidoc joins Chris to talk about the use of AI for medical imaging interpretation. Starting with the world’s largest annotated training data set of medical images, Aidoc is the radiologist’s best friend, helping the doctor to interpret imagery faster, more accurately, and improving the imaging workflow along the way. Elad’s vision for the transformative future of AI in medicine clearly soothes Chris’s concern about managing his aging body in the years to come. ;-)</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.heroku.com/podcasts/codeish">Code-ish by Heroku</a> – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out <a href="https://www.heroku.com/podcasts/codeish/98-the-ethical-side-of-deep-fakes">episode 98</a> and <a href="https://www.heroku.com/podcasts/codeish/99-the-technical-side-of-deep-fakes">episode 99</a> for insights on the ethical and technical sides of deep fakes. Subscribe on <a href="https://itunes.apple.com/us/podcast/code-ish/id1457879893">Apple Podcasts</a> and <a href="https://open.spotify.com/show/5VvkHRhd9E9SQf7i9HsPMd">Spotify</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.knowable.fyi">Knowable</a> – Learn from the world’s best minds, anytime, anywhere, and at your own pace through audio. Get unlimited access to every Knowable audio course right now. <a href="https://www.knowable.fyi">Click here</a> to check it out and use code <strong>CHANGELOG</strong> for 20% off! </li></ul><p>Featuring:</p><ul><li>Elad Walach – <a href="https://www.linkedin.com/in/elad-walach">LinkedIn</a>, <a href="https://x.com/elad_walach">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.aidoc.com">Aidoc | Website</a></li><li><a href="https://www.linkedin.com/company/aidoc">Aidoc Medical | LinkedIn</a></li><li><a href="https://twitter.com/aidocmed">Aidoc | Twitter</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 16 Feb 2021 09:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/c3a0f05e/240928fe.mp3" length="44389063" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2766</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Elad Walach of Aidoc joins Chris to talk about the use of AI for medical imaging interpretation. Starting with the world’s largest annotated training data set of medical images, Aidoc is the radiologist’s best friend, helping the doctor to interpret imagery faster, more accurately, and improving the imaging workflow along the way. Elad’s vision for the transformative future of AI in medicine clearly soothes Chris’s concern about managing his aging body in the years to come. ;-)</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.heroku.com/podcasts/codeish">Code-ish by Heroku</a> – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out <a href="https://www.heroku.com/podcasts/codeish/98-the-ethical-side-of-deep-fakes">episode 98</a> and <a href="https://www.heroku.com/podcasts/codeish/99-the-technical-side-of-deep-fakes">episode 99</a> for insights on the ethical and technical sides of deep fakes. Subscribe on <a href="https://itunes.apple.com/us/podcast/code-ish/id1457879893">Apple Podcasts</a> and <a href="https://open.spotify.com/show/5VvkHRhd9E9SQf7i9HsPMd">Spotify</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.knowable.fyi">Knowable</a> – Learn from the world’s best minds, anytime, anywhere, and at your own pace through audio. Get unlimited access to every Knowable audio course right now. <a href="https://www.knowable.fyi">Click here</a> to check it out and use code <strong>CHANGELOG</strong> for 20% off! </li></ul><p>Featuring:</p><ul><li>Elad Walach – <a href="https://www.linkedin.com/in/elad-walach">LinkedIn</a>, <a href="https://x.com/elad_walach">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.aidoc.com">Aidoc | Website</a></li><li><a href="https://www.linkedin.com/company/aidoc">Aidoc Medical | LinkedIn</a></li><li><a href="https://twitter.com/aidocmed">Aidoc | Twitter</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/elad-walach" img="https://img.transistorcdn.com/o7YwYhivt9zNuKjMfHy4IfGkbHZ4gVyyPUcFgiHAutA/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83ZjQy/NmUxMGFjMjMzY2E2/NjdkZmZhNjZmNjE2/ZTg3YS5qcGc.jpg">Elad Walach</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
    </item>
    <item>
      <title>Cooking up synthetic data with Gretel</title>
      <itunes:episode>121</itunes:episode>
      <podcast:episode>121</podcast:episode>
      <itunes:title>Cooking up synthetic data with Gretel</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1197</guid>
      <link>https://share.transistor.fm/s/9ed77cb1</link>
      <description>
        <![CDATA[<p>John Myers of <a href="https://gretel.ai">Gretel</a> puts on his apron and rolls up his sleeves to show Dan and Chris how to cook up some synthetic data for automated data labeling, differential privacy, and other purposes. His military and intelligence community background give him an interesting perspective that piqued the interest of our intrepid hosts.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.heroku.com/podcasts/codeish">Code-ish by Heroku</a> – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out <a href="https://www.heroku.com/podcasts/codeish/101-cloud-native-applications">episode 101</a> for a deep dive with Cornelia Davis (CTO of Weaveworks) on cloud native, cloud native patterns, and what is really means to be a cloud native application. Subscribe on <a href="https://itunes.apple.com/us/podcast/code-ish/id1457879893">Apple Podcasts</a> and <a href="https://open.spotify.com/show/5VvkHRhd9E9SQf7i9HsPMd">Spotify</a>. </li><li><a href="https://www.knowable.fyi">Knowable</a> – Learn from the world’s best minds, anytime, anywhere, and at your own pace through audio. Get unlimited access to every Knowable audio course right now. <a href="https://www.knowable.fyi">Click here</a> to check it out and use code <strong>CHANGELOG</strong> for 20% off! </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>John Myers – <a href="https://www.linkedin.com/in/john-myers-98b07b7">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://gretel.ai">Gretel | Website</a></li><li><a href="https://www.linkedin.com/company/gretelai">Gretel | LinkedIn</a></li><li><a href="https://twitter.com/gretel_ai">Gretel | Twitter</a></li><li><a href="https://gretel.ai/slackinvite">Gretel | Slack</a></li><li><a href="https://github.com/gretelai/gretel-synthetics">Gretel Synthetics | GitHub</a></li><li><a href="https://github.com/gretelai/gretel-blueprints">Gretel Blueprints | GitHub</a></li><li><a href="https://gretel.ai/blog/improving-massively-imbalanced-datasets-in-machine-learning-with-synthetic-data">Gretel | Improving massively imbalanced datasets in machine learning with synthetic data</a></li><li><a href="https://gretel.ai/blog/deep-dive-on-generating-synthetic-data-for-healthcare">Gretel | Deep dive on generating synthetic data for Healthcare</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>John Myers of <a href="https://gretel.ai">Gretel</a> puts on his apron and rolls up his sleeves to show Dan and Chris how to cook up some synthetic data for automated data labeling, differential privacy, and other purposes. His military and intelligence community background give him an interesting perspective that piqued the interest of our intrepid hosts.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.heroku.com/podcasts/codeish">Code-ish by Heroku</a> – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out <a href="https://www.heroku.com/podcasts/codeish/101-cloud-native-applications">episode 101</a> for a deep dive with Cornelia Davis (CTO of Weaveworks) on cloud native, cloud native patterns, and what is really means to be a cloud native application. Subscribe on <a href="https://itunes.apple.com/us/podcast/code-ish/id1457879893">Apple Podcasts</a> and <a href="https://open.spotify.com/show/5VvkHRhd9E9SQf7i9HsPMd">Spotify</a>. </li><li><a href="https://www.knowable.fyi">Knowable</a> – Learn from the world’s best minds, anytime, anywhere, and at your own pace through audio. Get unlimited access to every Knowable audio course right now. <a href="https://www.knowable.fyi">Click here</a> to check it out and use code <strong>CHANGELOG</strong> for 20% off! </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>John Myers – <a href="https://www.linkedin.com/in/john-myers-98b07b7">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://gretel.ai">Gretel | Website</a></li><li><a href="https://www.linkedin.com/company/gretelai">Gretel | LinkedIn</a></li><li><a href="https://twitter.com/gretel_ai">Gretel | Twitter</a></li><li><a href="https://gretel.ai/slackinvite">Gretel | Slack</a></li><li><a href="https://github.com/gretelai/gretel-synthetics">Gretel Synthetics | GitHub</a></li><li><a href="https://github.com/gretelai/gretel-blueprints">Gretel Blueprints | GitHub</a></li><li><a href="https://gretel.ai/blog/improving-massively-imbalanced-datasets-in-machine-learning-with-synthetic-data">Gretel | Improving massively imbalanced datasets in machine learning with synthetic data</a></li><li><a href="https://gretel.ai/blog/deep-dive-on-generating-synthetic-data-for-healthcare">Gretel | Deep dive on generating synthetic data for Healthcare</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 02 Feb 2021 11:15:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/9ed77cb1/bd663ea4.mp3" length="45841911" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2857</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>John Myers of <a href="https://gretel.ai">Gretel</a> puts on his apron and rolls up his sleeves to show Dan and Chris how to cook up some synthetic data for automated data labeling, differential privacy, and other purposes. His military and intelligence community background give him an interesting perspective that piqued the interest of our intrepid hosts.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.heroku.com/podcasts/codeish">Code-ish by Heroku</a> – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out <a href="https://www.heroku.com/podcasts/codeish/101-cloud-native-applications">episode 101</a> for a deep dive with Cornelia Davis (CTO of Weaveworks) on cloud native, cloud native patterns, and what is really means to be a cloud native application. Subscribe on <a href="https://itunes.apple.com/us/podcast/code-ish/id1457879893">Apple Podcasts</a> and <a href="https://open.spotify.com/show/5VvkHRhd9E9SQf7i9HsPMd">Spotify</a>. </li><li><a href="https://www.knowable.fyi">Knowable</a> – Learn from the world’s best minds, anytime, anywhere, and at your own pace through audio. Get unlimited access to every Knowable audio course right now. <a href="https://www.knowable.fyi">Click here</a> to check it out and use code <strong>CHANGELOG</strong> for 20% off! </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>John Myers – <a href="https://www.linkedin.com/in/john-myers-98b07b7">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://gretel.ai">Gretel | Website</a></li><li><a href="https://www.linkedin.com/company/gretelai">Gretel | LinkedIn</a></li><li><a href="https://twitter.com/gretel_ai">Gretel | Twitter</a></li><li><a href="https://gretel.ai/slackinvite">Gretel | Slack</a></li><li><a href="https://github.com/gretelai/gretel-synthetics">Gretel Synthetics | GitHub</a></li><li><a href="https://github.com/gretelai/gretel-blueprints">Gretel Blueprints | GitHub</a></li><li><a href="https://gretel.ai/blog/improving-massively-imbalanced-datasets-in-machine-learning-with-synthetic-data">Gretel | Improving massively imbalanced datasets in machine learning with synthetic data</a></li><li><a href="https://gretel.ai/blog/deep-dive-on-generating-synthetic-data-for-healthcare">Gretel | Deep dive on generating synthetic data for Healthcare</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/john-myers" img="https://img.transistorcdn.com/0WAztP10l2F76cP7eZ1XpEw0OPYjz835-eyLbWl8xtE/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84Zjkz/OWJlNmU3MWU3NTY0/MzdkZGM5YmQzMzUz/YmFhMi5qcGVn.jpg">John Myers</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>The nose knows</title>
      <itunes:episode>120</itunes:episode>
      <podcast:episode>120</podcast:episode>
      <itunes:title>The nose knows</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1168</guid>
      <link>https://share.transistor.fm/s/57e1cd47</link>
      <description>
        <![CDATA[<p>Daniel and Chris sniff out the secret ingredients for collecting, displaying, and analyzing odor data with Terri Jordan and Yanis Caritu of Aryballe. It certainly smells like a good time, so join them for this scent-illating episode!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.knowable.fyi">Knowable</a> – Learn from the world’s best minds, anytime, anywhere, and at your own pace through audio. Get unlimited access to every Knowable audio course right now. <a href="https://www.knowable.fyi">Click here</a> to check it out and use code <strong>CHANGELOG</strong> for 20% off! </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – Linode is our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a> OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. </li></ul><p>Featuring:</p><ul><li>Terri Jordan – <a href="https://www.linkedin.com/in/terrijordan">LinkedIn</a>, <a href="https://x.com/terricojo">X</a></li><li>Yanis Caritu – <a href="https://www.linkedin.com/in/yaniscaritu">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://aryballe.com">Aryballe</a></li><li><a href="https://twitter.com/aryballe">Aryballe | Twitter</a></li><li><a href="https://aryballe.com/solutions/device-solutions">Aryballe Hardware Solutions</a></li><li><a href="https://aryballe.com/solutions/software-data-platform">Aryballe Software &amp; Data Platform</a></li><li><a href="https://aryballe.com/how-machine-learning-in-digital-olfaction-works">How Machine Learning in Digital Olfaction Works</a></li><li><a href="https://aryballe.com/readying-odor-data-for-reproduction-using-machine-learning">Readying Odor Data For Reproduction Using Machine Learning</a></li><li><a href="https://venturebeat.com/2020/07/10/aryballe-raises-7-9-million-for-odor-detecting-ai-sensors">Aryballe raises $7.9 million for odor-detecting AI sensors</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel and Chris sniff out the secret ingredients for collecting, displaying, and analyzing odor data with Terri Jordan and Yanis Caritu of Aryballe. It certainly smells like a good time, so join them for this scent-illating episode!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.knowable.fyi">Knowable</a> – Learn from the world’s best minds, anytime, anywhere, and at your own pace through audio. Get unlimited access to every Knowable audio course right now. <a href="https://www.knowable.fyi">Click here</a> to check it out and use code <strong>CHANGELOG</strong> for 20% off! </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – Linode is our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a> OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. </li></ul><p>Featuring:</p><ul><li>Terri Jordan – <a href="https://www.linkedin.com/in/terrijordan">LinkedIn</a>, <a href="https://x.com/terricojo">X</a></li><li>Yanis Caritu – <a href="https://www.linkedin.com/in/yaniscaritu">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://aryballe.com">Aryballe</a></li><li><a href="https://twitter.com/aryballe">Aryballe | Twitter</a></li><li><a href="https://aryballe.com/solutions/device-solutions">Aryballe Hardware Solutions</a></li><li><a href="https://aryballe.com/solutions/software-data-platform">Aryballe Software &amp; Data Platform</a></li><li><a href="https://aryballe.com/how-machine-learning-in-digital-olfaction-works">How Machine Learning in Digital Olfaction Works</a></li><li><a href="https://aryballe.com/readying-odor-data-for-reproduction-using-machine-learning">Readying Odor Data For Reproduction Using Machine Learning</a></li><li><a href="https://venturebeat.com/2020/07/10/aryballe-raises-7-9-million-for-odor-detecting-ai-sensors">Aryballe raises $7.9 million for odor-detecting AI sensors</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 26 Jan 2021 16:30:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/57e1cd47/df06f3f0.mp3" length="52897505" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3299</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel and Chris sniff out the secret ingredients for collecting, displaying, and analyzing odor data with Terri Jordan and Yanis Caritu of Aryballe. It certainly smells like a good time, so join them for this scent-illating episode!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.knowable.fyi">Knowable</a> – Learn from the world’s best minds, anytime, anywhere, and at your own pace through audio. Get unlimited access to every Knowable audio course right now. <a href="https://www.knowable.fyi">Click here</a> to check it out and use code <strong>CHANGELOG</strong> for 20% off! </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – Linode is our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a> OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. </li></ul><p>Featuring:</p><ul><li>Terri Jordan – <a href="https://www.linkedin.com/in/terrijordan">LinkedIn</a>, <a href="https://x.com/terricojo">X</a></li><li>Yanis Caritu – <a href="https://www.linkedin.com/in/yaniscaritu">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://aryballe.com">Aryballe</a></li><li><a href="https://twitter.com/aryballe">Aryballe | Twitter</a></li><li><a href="https://aryballe.com/solutions/device-solutions">Aryballe Hardware Solutions</a></li><li><a href="https://aryballe.com/solutions/software-data-platform">Aryballe Software &amp; Data Platform</a></li><li><a href="https://aryballe.com/how-machine-learning-in-digital-olfaction-works">How Machine Learning in Digital Olfaction Works</a></li><li><a href="https://aryballe.com/readying-odor-data-for-reproduction-using-machine-learning">Readying Odor Data For Reproduction Using Machine Learning</a></li><li><a href="https://venturebeat.com/2020/07/10/aryballe-raises-7-9-million-for-odor-detecting-ai-sensors">Aryballe raises $7.9 million for odor-detecting AI sensors</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/terrijordan" img="https://img.transistorcdn.com/5FsCh4B3wPtqK6ZU3HHXCYnVlQHqRrfoMqShlRX0uyE/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82NzRi/NWY5MGJkMTNjNmNk/NzFmMTcwZWY0YWM1/MWM3ZS5qcGc.jpg">Terri Jordan</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/yaniscaritu" img="https://img.transistorcdn.com/xc_UBib40XVXxE1U0Rx4gSWHiw0kUuXLPDnwrFYBqSY/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xOWNj/Yjg5MzAwNjcyY2E5/OGExMzg5MzQ0MWE5/MDRhNi5qcGc.jpg">Yanis Caritu</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Accelerating ML innovation at MLCommons</title>
      <itunes:episode>119</itunes:episode>
      <podcast:episode>119</podcast:episode>
      <itunes:title>Accelerating ML innovation at MLCommons</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1167</guid>
      <link>https://share.transistor.fm/s/05cdbb35</link>
      <description>
        <![CDATA[<p>MLCommons launched in December 2020 as an open engineering consortium that seeks to accelerate machine learning innovation and broaden access to this critical technology for the public good. David Kanter, the executive director of MLCommons, joins us to discuss the launch and the ambitions of the organization.</p><p>In particular we discuss the three pillars of the organization: Benchmarks and Metrics (e.g. MLPerf), Datasets and Models (e.g. People’s Speech), and Best Practices (e.g. MLCube).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.heroku.com/podcasts/codeish">Code-ish by Heroku</a> – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out <a href="https://www.heroku.com/podcasts/codeish/98-the-ethical-side-of-deep-fakes">episode 98</a> and <a href="https://www.heroku.com/podcasts/codeish/99-the-technical-side-of-deep-fakes">episode 99</a> for insights on the ethical and technical sides of deep fakes. Subscribe on <a href="https://itunes.apple.com/us/podcast/code-ish/id1457879893">Apple Podcasts</a> and <a href="https://open.spotify.com/show/5VvkHRhd9E9SQf7i9HsPMd">Spotify</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.knowable.fyi">Knowable</a> – Learn from the world’s best minds, anytime, anywhere, and at your own pace through audio. Get unlimited access to every Knowable audio course right now. <a href="https://www.knowable.fyi">Click here</a> to check it out and use code <strong>CHANGELOG</strong> for 20% off! </li></ul><p>Featuring:</p><ul><li>David Kanter – <a href="https://github.com/thekanter">GitHub</a>, <a href="https://x.com/thekanter">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://mlcommons.org/en/peoples-speech/">Learn more about People’s Speech</a></li><li><a href="https://mlcommons.org/en/groups/datasets/">Get involved with the People’s Speech project</a></li><li><a href="https://mlcommons.github.io/mlcube/">MLCube GitHub, including several different examples</a></li><li><a href="mlcube@mlcommons.org">MLCube Mailing list</a></li><li><a href="https://mlcommons.org/en/training-normal-07/">MLPerf Training Benchmarks</a></li><li><a href="https://mlcommons.org/en/training-hpc-07/">MLPerf Training HPC Benchmarks</a></li><li><a href="https://mlcommons.org/en/inference-datacenter-07/">MLPerf Inference Datacenter Benchmarks</a></li><li><a href="https://mlcommons.org/en/inference-edge-07/">MLPerf Inference Edge Benchmarks</a></li><li><a href="https://mlcommons.org/en/inference-mobile-07/">MLPerf Inference Mobile Benchmarks</a></li><li><a href="https://twitter.com/commons_ml">MLCommons on Twitter</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>MLCommons launched in December 2020 as an open engineering consortium that seeks to accelerate machine learning innovation and broaden access to this critical technology for the public good. David Kanter, the executive director of MLCommons, joins us to discuss the launch and the ambitions of the organization.</p><p>In particular we discuss the three pillars of the organization: Benchmarks and Metrics (e.g. MLPerf), Datasets and Models (e.g. People’s Speech), and Best Practices (e.g. MLCube).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.heroku.com/podcasts/codeish">Code-ish by Heroku</a> – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out <a href="https://www.heroku.com/podcasts/codeish/98-the-ethical-side-of-deep-fakes">episode 98</a> and <a href="https://www.heroku.com/podcasts/codeish/99-the-technical-side-of-deep-fakes">episode 99</a> for insights on the ethical and technical sides of deep fakes. Subscribe on <a href="https://itunes.apple.com/us/podcast/code-ish/id1457879893">Apple Podcasts</a> and <a href="https://open.spotify.com/show/5VvkHRhd9E9SQf7i9HsPMd">Spotify</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.knowable.fyi">Knowable</a> – Learn from the world’s best minds, anytime, anywhere, and at your own pace through audio. Get unlimited access to every Knowable audio course right now. <a href="https://www.knowable.fyi">Click here</a> to check it out and use code <strong>CHANGELOG</strong> for 20% off! </li></ul><p>Featuring:</p><ul><li>David Kanter – <a href="https://github.com/thekanter">GitHub</a>, <a href="https://x.com/thekanter">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://mlcommons.org/en/peoples-speech/">Learn more about People’s Speech</a></li><li><a href="https://mlcommons.org/en/groups/datasets/">Get involved with the People’s Speech project</a></li><li><a href="https://mlcommons.github.io/mlcube/">MLCube GitHub, including several different examples</a></li><li><a href="mlcube@mlcommons.org">MLCube Mailing list</a></li><li><a href="https://mlcommons.org/en/training-normal-07/">MLPerf Training Benchmarks</a></li><li><a href="https://mlcommons.org/en/training-hpc-07/">MLPerf Training HPC Benchmarks</a></li><li><a href="https://mlcommons.org/en/inference-datacenter-07/">MLPerf Inference Datacenter Benchmarks</a></li><li><a href="https://mlcommons.org/en/inference-edge-07/">MLPerf Inference Edge Benchmarks</a></li><li><a href="https://mlcommons.org/en/inference-mobile-07/">MLPerf Inference Mobile Benchmarks</a></li><li><a href="https://twitter.com/commons_ml">MLCommons on Twitter</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 19 Jan 2021 10:30:00 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3071</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>MLCommons launched in December 2020 as an open engineering consortium that seeks to accelerate machine learning innovation and broaden access to this critical technology for the public good. David Kanter, the executive director of MLCommons, joins us to discuss the launch and the ambitions of the organization.</p><p>In particular we discuss the three pillars of the organization: Benchmarks and Metrics (e.g. MLPerf), Datasets and Models (e.g. People’s Speech), and Best Practices (e.g. MLCube).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.heroku.com/podcasts/codeish">Code-ish by Heroku</a> – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out <a href="https://www.heroku.com/podcasts/codeish/98-the-ethical-side-of-deep-fakes">episode 98</a> and <a href="https://www.heroku.com/podcasts/codeish/99-the-technical-side-of-deep-fakes">episode 99</a> for insights on the ethical and technical sides of deep fakes. Subscribe on <a href="https://itunes.apple.com/us/podcast/code-ish/id1457879893">Apple Podcasts</a> and <a href="https://open.spotify.com/show/5VvkHRhd9E9SQf7i9HsPMd">Spotify</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.knowable.fyi">Knowable</a> – Learn from the world’s best minds, anytime, anywhere, and at your own pace through audio. Get unlimited access to every Knowable audio course right now. <a href="https://www.knowable.fyi">Click here</a> to check it out and use code <strong>CHANGELOG</strong> for 20% off! </li></ul><p>Featuring:</p><ul><li>David Kanter – <a href="https://github.com/thekanter">GitHub</a>, <a href="https://x.com/thekanter">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://mlcommons.org/en/peoples-speech/">Learn more about People’s Speech</a></li><li><a href="https://mlcommons.org/en/groups/datasets/">Get involved with the People’s Speech project</a></li><li><a href="https://mlcommons.github.io/mlcube/">MLCube GitHub, including several different examples</a></li><li><a href="mlcube@mlcommons.org">MLCube Mailing list</a></li><li><a href="https://mlcommons.org/en/training-normal-07/">MLPerf Training Benchmarks</a></li><li><a href="https://mlcommons.org/en/training-hpc-07/">MLPerf Training HPC Benchmarks</a></li><li><a href="https://mlcommons.org/en/inference-datacenter-07/">MLPerf Inference Datacenter Benchmarks</a></li><li><a href="https://mlcommons.org/en/inference-edge-07/">MLPerf Inference Edge Benchmarks</a></li><li><a href="https://mlcommons.org/en/inference-mobile-07/">MLPerf Inference Mobile Benchmarks</a></li><li><a href="https://twitter.com/commons_ml">MLCommons on Twitter</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/thekanter" img="https://img.transistorcdn.com/BvPdpGAFwLVbC2VIysadSF49oSplfwEVGo3M9ftjdoc/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mZmZk/YzNiNWYxYjA3YWM1/MTc2YmY3NGYxOTY5/ZjA3Mi5qcGc.jpg">David Kanter</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>The $1 trillion dollar ML model 💵</title>
      <itunes:episode>118</itunes:episode>
      <podcast:episode>118</podcast:episode>
      <itunes:title>The $1 trillion dollar ML model 💵</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1166</guid>
      <link>https://share.transistor.fm/s/3fed4a77</link>
      <description>
        <![CDATA[<p>American Express is running what is perhaps the largest commercial ML model in the world; a model that automates over 8 billion decisions, ingests data from over $1T in transactions, and generates decisions in mere milliseconds or less globally. Madhurima Khandelwal, head of AMEX AI Labs, joins us for a fascinating discussion about scaling research and building robust and ethical AI-driven financial applications.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.heroku.com/podcasts/codeish">Code-ish by Heroku</a> – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out <a href="https://www.heroku.com/podcasts/codeish/98-the-ethical-side-of-deep-fakes">episode 98</a> and <a href="https://www.heroku.com/podcasts/codeish/99-the-technical-side-of-deep-fakes">episode 99</a> for insights on the ethical and technical sides of deep fakes. Subscribe on <a href="https://itunes.apple.com/us/podcast/code-ish/id1457879893">Apple Podcasts</a> and <a href="https://open.spotify.com/show/5VvkHRhd9E9SQf7i9HsPMd">Spotify</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – Test in production! Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. </li></ul><p>Featuring:</p><ul><li>Madhurima Khandelwal – <a href="https://www.linkedin.com/in/madhurima-khandelwal-6278333">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.americanexpress.com/in/careers/ai-labs.html#research">AMEX AI Labs research</a></li><li><a href="https://www.oreilly.com/radar/doing-good-data-science/">O’Reilly article about “doing good data science”</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>American Express is running what is perhaps the largest commercial ML model in the world; a model that automates over 8 billion decisions, ingests data from over $1T in transactions, and generates decisions in mere milliseconds or less globally. Madhurima Khandelwal, head of AMEX AI Labs, joins us for a fascinating discussion about scaling research and building robust and ethical AI-driven financial applications.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.heroku.com/podcasts/codeish">Code-ish by Heroku</a> – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out <a href="https://www.heroku.com/podcasts/codeish/98-the-ethical-side-of-deep-fakes">episode 98</a> and <a href="https://www.heroku.com/podcasts/codeish/99-the-technical-side-of-deep-fakes">episode 99</a> for insights on the ethical and technical sides of deep fakes. Subscribe on <a href="https://itunes.apple.com/us/podcast/code-ish/id1457879893">Apple Podcasts</a> and <a href="https://open.spotify.com/show/5VvkHRhd9E9SQf7i9HsPMd">Spotify</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – Test in production! Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. </li></ul><p>Featuring:</p><ul><li>Madhurima Khandelwal – <a href="https://www.linkedin.com/in/madhurima-khandelwal-6278333">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.americanexpress.com/in/careers/ai-labs.html#research">AMEX AI Labs research</a></li><li><a href="https://www.oreilly.com/radar/doing-good-data-science/">O’Reilly article about “doing good data science”</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 11 Jan 2021 15:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/3fed4a77/2d26e627.mp3" length="46863555" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2921</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>American Express is running what is perhaps the largest commercial ML model in the world; a model that automates over 8 billion decisions, ingests data from over $1T in transactions, and generates decisions in mere milliseconds or less globally. Madhurima Khandelwal, head of AMEX AI Labs, joins us for a fascinating discussion about scaling research and building robust and ethical AI-driven financial applications.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.heroku.com/podcasts/codeish">Code-ish by Heroku</a> – A podcast from the team at Heroku, exploring code, technology, tools, tips, and the life of the developer. Check out <a href="https://www.heroku.com/podcasts/codeish/98-the-ethical-side-of-deep-fakes">episode 98</a> and <a href="https://www.heroku.com/podcasts/codeish/99-the-technical-side-of-deep-fakes">episode 99</a> for insights on the ethical and technical sides of deep fakes. Subscribe on <a href="https://itunes.apple.com/us/podcast/code-ish/id1457879893">Apple Podcasts</a> and <a href="https://open.spotify.com/show/5VvkHRhd9E9SQf7i9HsPMd">Spotify</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – Test in production! Deploy code at any time, even if a feature isn’t ready to be released to your users. Wrap code in feature flags to get the safety to test new features and infrastructure in prod without impacting the wrong end users. </li></ul><p>Featuring:</p><ul><li>Madhurima Khandelwal – <a href="https://www.linkedin.com/in/madhurima-khandelwal-6278333">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.americanexpress.com/in/careers/ai-labs.html#research">AMEX AI Labs research</a></li><li><a href="https://www.oreilly.com/radar/doing-good-data-science/">O’Reilly article about “doing good data science”</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/madhurima-khandelwal" img="https://img.transistorcdn.com/CrzHfv9a6SA2WGpxuHnzMiXZwu5j2vr6NmC_eQ1Aeg4/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mNGQ4/MWYxMjU4YmE0Yzhk/YzRlMzY0MjE0MTJl/ZDYzNi5qcGVn.jpg">Madhurima Khandelwal</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Getting in the Flow with Snorkel AI</title>
      <itunes:episode>117</itunes:episode>
      <podcast:episode>117</podcast:episode>
      <itunes:title>Getting in the Flow with Snorkel AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1165</guid>
      <link>https://share.transistor.fm/s/a2bb5bd9</link>
      <description>
        <![CDATA[<p>Braden Hancock joins Chris to discuss <a href="https://snorkel.ai">Snorkel Flow</a> and the <a href="https://snorkel.org">Snorkel open source project</a>. With Flow, users programmatically label, build, and augment training data to drive a radically faster, more flexible, and higher quality end-to-end AI development and deployment process.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – Get apps to market faster. Build, deploy, and scale apps quickly using a simple, fully managed solution. DigitalOcean handles the infrastructure, app runtimes and dependencies, so that you can push code to production in just a few clicks. Try it free with $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – Power experimentation at any scale. Fast and reliable feature management for the modern enterprise. </li></ul><p>Featuring:</p><ul><li>Braden Hancock – <a href="https://www.bradenhancock.com">Website</a>, <a href="https://x.com/bradenjhancock">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://snorkel.ai">Snorkel AI</a></li><li><a href="https://snorkel.org">Snorkel OSS</a></li><li><a href="https://snorkel.ai/blog">Snorkel Blog</a></li><li><a href="https://twitter.com/SnorkelAI">Snorkel AI | Twitter</a></li><li><a href="https://www.linkedin.com/company/snorkel-ai">Snorkel AI | LinkedIn</a></li><li><a href="https://link.springer.com/article/10.1007/s00778-019-00552-1">Snorkel Best of VLDB paper</a></li><li><a href="https://dl.acm.org/doi/abs/10.1145/3299869.3314036">Snorkel Drybell collaboration with Google</a></li></ul><p>Jerod recommends</p><ul><li><a href="https://practicalai.fm/103">Getting Waymo into autonomous driving (Drago Anguelov)</a></li><li><a href="https://practicalai.fm/101">Building the world’s most popular data science platform (Peter Wang)</a></li><li><a href="https://practicalai.fm/85">Achieving provably beneficial, human-compatible AI (Stuart Russell)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Braden Hancock joins Chris to discuss <a href="https://snorkel.ai">Snorkel Flow</a> and the <a href="https://snorkel.org">Snorkel open source project</a>. With Flow, users programmatically label, build, and augment training data to drive a radically faster, more flexible, and higher quality end-to-end AI development and deployment process.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – Get apps to market faster. Build, deploy, and scale apps quickly using a simple, fully managed solution. DigitalOcean handles the infrastructure, app runtimes and dependencies, so that you can push code to production in just a few clicks. Try it free with $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – Power experimentation at any scale. Fast and reliable feature management for the modern enterprise. </li></ul><p>Featuring:</p><ul><li>Braden Hancock – <a href="https://www.bradenhancock.com">Website</a>, <a href="https://x.com/bradenjhancock">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://snorkel.ai">Snorkel AI</a></li><li><a href="https://snorkel.org">Snorkel OSS</a></li><li><a href="https://snorkel.ai/blog">Snorkel Blog</a></li><li><a href="https://twitter.com/SnorkelAI">Snorkel AI | Twitter</a></li><li><a href="https://www.linkedin.com/company/snorkel-ai">Snorkel AI | LinkedIn</a></li><li><a href="https://link.springer.com/article/10.1007/s00778-019-00552-1">Snorkel Best of VLDB paper</a></li><li><a href="https://dl.acm.org/doi/abs/10.1145/3299869.3314036">Snorkel Drybell collaboration with Google</a></li></ul><p>Jerod recommends</p><ul><li><a href="https://practicalai.fm/103">Getting Waymo into autonomous driving (Drago Anguelov)</a></li><li><a href="https://practicalai.fm/101">Building the world’s most popular data science platform (Peter Wang)</a></li><li><a href="https://practicalai.fm/85">Achieving provably beneficial, human-compatible AI (Stuart Russell)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 21 Dec 2020 14:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/a2bb5bd9/0a784f9f.mp3" length="45203063" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2817</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Braden Hancock joins Chris to discuss <a href="https://snorkel.ai">Snorkel Flow</a> and the <a href="https://snorkel.org">Snorkel open source project</a>. With Flow, users programmatically label, build, and augment training data to drive a radically faster, more flexible, and higher quality end-to-end AI development and deployment process.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – Get apps to market faster. Build, deploy, and scale apps quickly using a simple, fully managed solution. DigitalOcean handles the infrastructure, app runtimes and dependencies, so that you can push code to production in just a few clicks. Try it free with $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – Power experimentation at any scale. Fast and reliable feature management for the modern enterprise. </li></ul><p>Featuring:</p><ul><li>Braden Hancock – <a href="https://www.bradenhancock.com">Website</a>, <a href="https://x.com/bradenjhancock">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://snorkel.ai">Snorkel AI</a></li><li><a href="https://snorkel.org">Snorkel OSS</a></li><li><a href="https://snorkel.ai/blog">Snorkel Blog</a></li><li><a href="https://twitter.com/SnorkelAI">Snorkel AI | Twitter</a></li><li><a href="https://www.linkedin.com/company/snorkel-ai">Snorkel AI | LinkedIn</a></li><li><a href="https://link.springer.com/article/10.1007/s00778-019-00552-1">Snorkel Best of VLDB paper</a></li><li><a href="https://dl.acm.org/doi/abs/10.1145/3299869.3314036">Snorkel Drybell collaboration with Google</a></li></ul><p>Jerod recommends</p><ul><li><a href="https://practicalai.fm/103">Getting Waymo into autonomous driving (Drago Anguelov)</a></li><li><a href="https://practicalai.fm/101">Building the world’s most popular data science platform (Peter Wang)</a></li><li><a href="https://practicalai.fm/85">Achieving provably beneficial, human-compatible AI (Stuart Russell)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/bradenjhancock" img="https://img.transistorcdn.com/pwxkC9evUojlV4u8zAW3fbu_zbhAIJJPFZGmrA0f9kE/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wMjdj/NTAxMjE1OWM5NGQ3/ZjRjZTRlNjQ3YzVi/OGIwYS5qcGc.jpg">Braden Hancock</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
    </item>
    <item>
      <title>Engaging with governments on AI for good</title>
      <itunes:episode>116</itunes:episode>
      <podcast:episode>116</podcast:episode>
      <itunes:title>Engaging with governments on AI for good</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1184</guid>
      <link>https://share.transistor.fm/s/6b01c808</link>
      <description>
        <![CDATA[<p>At this year’s Government &amp; Public Sector R Conference (or R|Gov) our very own Daniel Whitenack moderated a panel on how AI practitioners can engage with governments on AI for good projects. That discussion is being republished in this episode for all our listeners to enjoy!</p><p>The panelists were Danya Murali from Arcadia Power and Emily Martinez from the NYC Department of Health and Mental Hygiene. Danya and Emily gave some great perspectives on sources of government data, ethical uses of data, and privacy.</p><p><br></p><p>Featuring:</p><ul><li>Danya Murali – <a href="https://github.com/dmurali1">GitHub</a>, <a href="https://www.linkedin.com/in/danya-murali-947153150">LinkedIn</a>, <a href="https://x.com/datadanya">X</a></li><li>Emily Martinez – <a href="https://x.com/emmartinez47">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>The Government &amp; Public Sector R Conference, or R|Gov for short, is returning in Fall of 2021 and the R Conference New York is returning in 2021 as well and you can learn more at <a href="http://rstats.ai/">rstats.ai</a>, <a href="https://twitter.com/rstatsnyc">twitter.com/rstatsnyc</a> and <a href="https://twitter.com/rstatsdc">twitter.com/rstatsdc</a>.</p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>At this year’s Government &amp; Public Sector R Conference (or R|Gov) our very own Daniel Whitenack moderated a panel on how AI practitioners can engage with governments on AI for good projects. That discussion is being republished in this episode for all our listeners to enjoy!</p><p>The panelists were Danya Murali from Arcadia Power and Emily Martinez from the NYC Department of Health and Mental Hygiene. Danya and Emily gave some great perspectives on sources of government data, ethical uses of data, and privacy.</p><p><br></p><p>Featuring:</p><ul><li>Danya Murali – <a href="https://github.com/dmurali1">GitHub</a>, <a href="https://www.linkedin.com/in/danya-murali-947153150">LinkedIn</a>, <a href="https://x.com/datadanya">X</a></li><li>Emily Martinez – <a href="https://x.com/emmartinez47">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>The Government &amp; Public Sector R Conference, or R|Gov for short, is returning in Fall of 2021 and the R Conference New York is returning in 2021 as well and you can learn more at <a href="http://rstats.ai/">rstats.ai</a>, <a href="https://twitter.com/rstatsnyc">twitter.com/rstatsnyc</a> and <a href="https://twitter.com/rstatsdc">twitter.com/rstatsdc</a>.</p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 14 Dec 2020 15:30:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/6b01c808/bf12f35a.mp3" length="24738381" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>1535</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>At this year’s Government &amp; Public Sector R Conference (or R|Gov) our very own Daniel Whitenack moderated a panel on how AI practitioners can engage with governments on AI for good projects. That discussion is being republished in this episode for all our listeners to enjoy!</p><p>The panelists were Danya Murali from Arcadia Power and Emily Martinez from the NYC Department of Health and Mental Hygiene. Danya and Emily gave some great perspectives on sources of government data, ethical uses of data, and privacy.</p><p><br></p><p>Featuring:</p><ul><li>Danya Murali – <a href="https://github.com/dmurali1">GitHub</a>, <a href="https://www.linkedin.com/in/danya-murali-947153150">LinkedIn</a>, <a href="https://x.com/datadanya">X</a></li><li>Emily Martinez – <a href="https://x.com/emmartinez47">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>The Government &amp; Public Sector R Conference, or R|Gov for short, is returning in Fall of 2021 and the R Conference New York is returning in 2021 as well and you can learn more at <a href="http://rstats.ai/">rstats.ai</a>, <a href="https://twitter.com/rstatsnyc">twitter.com/rstatsnyc</a> and <a href="https://twitter.com/rstatsdc">twitter.com/rstatsdc</a>.</p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/datadanya" img="https://img.transistorcdn.com/SjgZCE33YeZv0jRKrVRNzJxmLA2ukHd_2f2Jyw_xDTw/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81NjFh/ZmQyMTJiMWNmMDdm/ODRlNDQ5NWQ4OWQz/NDE3MC5qcGc.jpg">Danya Murali</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/emmartinez" img="https://img.transistorcdn.com/F_M6ZaGNPhTr_-DU8qJe0lDY0wP9tdcz5irHozRRRvA/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85YjEz/MzI1YWMxMDAzNjM1/NTA3MmQ0YTk1M2Yz/YWY4NC5qcGc.jpg">Emily Martinez</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>From research to product at Azure AI</title>
      <itunes:episode>115</itunes:episode>
      <podcast:episode>115</podcast:episode>
      <itunes:title>From research to product at Azure AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1163</guid>
      <link>https://share.transistor.fm/s/210a293e</link>
      <description>
        <![CDATA[<p>Bharat Sandhu, Director of Azure AI and Mixed Reality at Microsoft, joins Chris and Daniel to talk about how Microsoft is making AI accessible and productive for users, and how AI solutions can address real world challenges that customers face. He also shares Microsoft’s research-to-product process, along with the advances they have made in computer vision, image captioning, and how researchers were able to make AI that can describe images as well as people do.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a> OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – Power experimentation at any scale. Fast and reliable feature management for the modern enterprise. </li></ul><p>Featuring:</p><ul><li>Bharat Sandu – <a href="https://www.linkedin.com/in/bharatsandhu">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://blogs.microsoft.com/ai/azure-image-captioning">What’s that? Microsoft’s latest breakthrough, now in Azure AI, describes images as well as people do</a></li><li><a href="https://blogs.microsoft.com/ai/mona-lisa-translation-research-products">From search to translation, AI research is improving Microsoft products</a></li><li><a href="https://azure.microsoft.com/en-us/blog/azure-ai-build-missioncritical-ai-apps-with-new-cognitive-services-capabilities">Azure AI: Build mission-critical AI apps with new Cognitive Services capabilities</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Bharat Sandhu, Director of Azure AI and Mixed Reality at Microsoft, joins Chris and Daniel to talk about how Microsoft is making AI accessible and productive for users, and how AI solutions can address real world challenges that customers face. He also shares Microsoft’s research-to-product process, along with the advances they have made in computer vision, image captioning, and how researchers were able to make AI that can describe images as well as people do.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a> OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – Power experimentation at any scale. Fast and reliable feature management for the modern enterprise. </li></ul><p>Featuring:</p><ul><li>Bharat Sandu – <a href="https://www.linkedin.com/in/bharatsandhu">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://blogs.microsoft.com/ai/azure-image-captioning">What’s that? Microsoft’s latest breakthrough, now in Azure AI, describes images as well as people do</a></li><li><a href="https://blogs.microsoft.com/ai/mona-lisa-translation-research-products">From search to translation, AI research is improving Microsoft products</a></li><li><a href="https://azure.microsoft.com/en-us/blog/azure-ai-build-missioncritical-ai-apps-with-new-cognitive-services-capabilities">Azure AI: Build mission-critical AI apps with new Cognitive Services capabilities</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 07 Dec 2020 17:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/210a293e/97cb573b.mp3" length="47182564" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2941</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Bharat Sandhu, Director of Azure AI and Mixed Reality at Microsoft, joins Chris and Daniel to talk about how Microsoft is making AI accessible and productive for users, and how AI solutions can address real world challenges that customers face. He also shares Microsoft’s research-to-product process, along with the advances they have made in computer vision, image captioning, and how researchers were able to make AI that can describe images as well as people do.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a> OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – Power experimentation at any scale. Fast and reliable feature management for the modern enterprise. </li></ul><p>Featuring:</p><ul><li>Bharat Sandu – <a href="https://www.linkedin.com/in/bharatsandhu">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://blogs.microsoft.com/ai/azure-image-captioning">What’s that? Microsoft’s latest breakthrough, now in Azure AI, describes images as well as people do</a></li><li><a href="https://blogs.microsoft.com/ai/mona-lisa-translation-research-products">From search to translation, AI research is improving Microsoft products</a></li><li><a href="https://azure.microsoft.com/en-us/blog/azure-ai-build-missioncritical-ai-apps-with-new-cognitive-services-capabilities">Azure AI: Build mission-critical AI apps with new Cognitive Services capabilities</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/bharatsandhu" img="https://img.transistorcdn.com/U3pJoas_Agh0fd-PGOSjBF3Dar3GDxf5fjPL17u4byY/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yZDYz/MjdhNzU5NGIxMWE3/ZWNkYWE3YWE1NDhj/YTZjMC5qcGc.jpg">Bharat Sandu</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>The world's largest open library dataset</title>
      <itunes:episode>114</itunes:episode>
      <podcast:episode>114</podcast:episode>
      <itunes:title>The world's largest open library dataset</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1162</guid>
      <link>https://share.transistor.fm/s/341de7b0</link>
      <description>
        <![CDATA[<p>Unsplash has released the world’s largest open library dataset, which includes 2M+ high-quality Unsplash photos, 5M keywords, and over 250M searches. They have big ideas about how the dataset might be used by ML/AI folks, and there have already been some interesting applications. In this episode, Luke and Tim discuss why they released this data and what it take to maintain a dataset of this size.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a> OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – Power experimentation at any scale. Fast and reliable feature management for the modern enterprise. </li></ul><p>Featuring:</p><ul><li>Luke Chesser – <a href="http://imluke.me">Website</a>, <a href="https://x.com/lukechesser">X</a></li><li>Timothy Carbone – <a href="https://github.com/timmycarbone">GitHub</a>, <a href="https://x.com/timmycarbone">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://unsplash.com/">Unsplash</a></li><li><a href="https://unsplash.com/data">The world’s largest open library dataset from Unsplash</a></li><li><a href="https://github.com/unsplash/datasets">The Unsplash dataset on GitHub</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Unsplash has released the world’s largest open library dataset, which includes 2M+ high-quality Unsplash photos, 5M keywords, and over 250M searches. They have big ideas about how the dataset might be used by ML/AI folks, and there have already been some interesting applications. In this episode, Luke and Tim discuss why they released this data and what it take to maintain a dataset of this size.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a> OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – Power experimentation at any scale. Fast and reliable feature management for the modern enterprise. </li></ul><p>Featuring:</p><ul><li>Luke Chesser – <a href="http://imluke.me">Website</a>, <a href="https://x.com/lukechesser">X</a></li><li>Timothy Carbone – <a href="https://github.com/timmycarbone">GitHub</a>, <a href="https://x.com/timmycarbone">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://unsplash.com/">Unsplash</a></li><li><a href="https://unsplash.com/data">The world’s largest open library dataset from Unsplash</a></li><li><a href="https://github.com/unsplash/datasets">The Unsplash dataset on GitHub</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 01 Dec 2020 09:30:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/341de7b0/1f2685e9.mp3" length="42361635" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2639</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Unsplash has released the world’s largest open library dataset, which includes 2M+ high-quality Unsplash photos, 5M keywords, and over 250M searches. They have big ideas about how the dataset might be used by ML/AI folks, and there have already been some interesting applications. In this episode, Luke and Tim discuss why they released this data and what it take to maintain a dataset of this size.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a> OR text CHANGELOG to 474747 to get instant access to that $100 in free credit. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://launchdarkly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">LaunchDarkly</a> – Power experimentation at any scale. Fast and reliable feature management for the modern enterprise. </li></ul><p>Featuring:</p><ul><li>Luke Chesser – <a href="http://imluke.me">Website</a>, <a href="https://x.com/lukechesser">X</a></li><li>Timothy Carbone – <a href="https://github.com/timmycarbone">GitHub</a>, <a href="https://x.com/timmycarbone">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://unsplash.com/">Unsplash</a></li><li><a href="https://unsplash.com/data">The world’s largest open library dataset from Unsplash</a></li><li><a href="https://github.com/unsplash/datasets">The Unsplash dataset on GitHub</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/lukechesser" img="https://img.transistorcdn.com/t4nKRRsE5BB77GuWDMJNYlglRsxflsFr05RLw6jl3i0/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wYmY5/MThhNjZjY2Q4MDdi/NTlmNTc3ODYyOGUz/YTllMy5qcGc.jpg">Luke Chesser</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/timmycarbone" img="https://img.transistorcdn.com/rIQip_5wqNBC-ns5A0yg8xqjOQwyXL-3d5t_V4rQwcU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zN2I0/YWMwMjYyZjhhMzhl/ODljYzNlNTM0OGU4/NDdjOC5wbmc.jpg">Timothy Carbone</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>A casual conversation concerning causal inference</title>
      <itunes:episode>113</itunes:episode>
      <podcast:episode>113</podcast:episode>
      <itunes:title>A casual conversation concerning causal inference</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1160</guid>
      <link>https://share.transistor.fm/s/4b89ff93</link>
      <description>
        <![CDATA[<p>Lucy D’Agostino McGowan, cohost of the Casual Inference Podcast and a professor at Wake Forest University, joins Daniel and Chris for a deep dive into causal inference. Referring to current events (e.g. misreporting of COVID-19 data in Georgia) as examples, they explore how we interact with, analyze, trust, and interpret data - addressing underlying assumptions, counterfactual frameworks, and unmeasured confounders (Chris’s next Halloween costume).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://launchdarkly.com/">LaunchDarkly</a> – Power experimentation at any scale. Fast and reliable feature management for the modern enterprise. </li></ul><p>Featuring:</p><ul><li>Lucy D'Agostino McGowan – <a href="https://www.lucymcgowan.com">Website</a>, <a href="https://www.linkedin.com/in/ldmcgowan">LinkedIn</a>, <a href="https://x.com/lucystats">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://casualinfer.libsyn.com">Casual Inference Podcast</a></li><li><a href="https://twitter.com/casualinfer">Casual Inference Podcast | Twitter</a></li><li><a href="https://youtu.be/-W2ku4-fp10">Communicating Complex Statistics (video)</a></li><li><a href="https://docs.google.com/presentation/d/1fO4vZn-dNII4UOd1itjomZW1oBcv51jDv7r35RGKc3M/edit?usp=sharing">Communicating Complex Statistics (slides)</a></li></ul><p>Practical AI is a “Media Sponsor” of the <a href="https://rstats.ai/gov">R Conference | Government &amp; Public Sector</a>, where Lucy D’Agostino McGowan is giving the talk with Malcolm Barrett called “Causal Inference in R”, as well as a workshop with the same title.</p><p>This will be the first ever R Conference focused on data science work in government, defense, and the public sector.</p><p>Practical AI listeners get a special discount code valid for 20% off all ticket types, General &amp; Academic Admission and workshops:</p><p><strong>PRACTICALAI20</strong></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Lucy D’Agostino McGowan, cohost of the Casual Inference Podcast and a professor at Wake Forest University, joins Daniel and Chris for a deep dive into causal inference. Referring to current events (e.g. misreporting of COVID-19 data in Georgia) as examples, they explore how we interact with, analyze, trust, and interpret data - addressing underlying assumptions, counterfactual frameworks, and unmeasured confounders (Chris’s next Halloween costume).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://launchdarkly.com/">LaunchDarkly</a> – Power experimentation at any scale. Fast and reliable feature management for the modern enterprise. </li></ul><p>Featuring:</p><ul><li>Lucy D'Agostino McGowan – <a href="https://www.lucymcgowan.com">Website</a>, <a href="https://www.linkedin.com/in/ldmcgowan">LinkedIn</a>, <a href="https://x.com/lucystats">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://casualinfer.libsyn.com">Casual Inference Podcast</a></li><li><a href="https://twitter.com/casualinfer">Casual Inference Podcast | Twitter</a></li><li><a href="https://youtu.be/-W2ku4-fp10">Communicating Complex Statistics (video)</a></li><li><a href="https://docs.google.com/presentation/d/1fO4vZn-dNII4UOd1itjomZW1oBcv51jDv7r35RGKc3M/edit?usp=sharing">Communicating Complex Statistics (slides)</a></li></ul><p>Practical AI is a “Media Sponsor” of the <a href="https://rstats.ai/gov">R Conference | Government &amp; Public Sector</a>, where Lucy D’Agostino McGowan is giving the talk with Malcolm Barrett called “Causal Inference in R”, as well as a workshop with the same title.</p><p>This will be the first ever R Conference focused on data science work in government, defense, and the public sector.</p><p>Practical AI listeners get a special discount code valid for 20% off all ticket types, General &amp; Academic Admission and workshops:</p><p><strong>PRACTICALAI20</strong></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 24 Nov 2020 09:45:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/4b89ff93/6972c70e.mp3" length="49529466" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3088</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Lucy D’Agostino McGowan, cohost of the Casual Inference Podcast and a professor at Wake Forest University, joins Daniel and Chris for a deep dive into causal inference. Referring to current events (e.g. misreporting of COVID-19 data in Georgia) as examples, they explore how we interact with, analyze, trust, and interpret data - addressing underlying assumptions, counterfactual frameworks, and unmeasured confounders (Chris’s next Halloween costume).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://launchdarkly.com/">LaunchDarkly</a> – Power experimentation at any scale. Fast and reliable feature management for the modern enterprise. </li></ul><p>Featuring:</p><ul><li>Lucy D'Agostino McGowan – <a href="https://www.lucymcgowan.com">Website</a>, <a href="https://www.linkedin.com/in/ldmcgowan">LinkedIn</a>, <a href="https://x.com/lucystats">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://casualinfer.libsyn.com">Casual Inference Podcast</a></li><li><a href="https://twitter.com/casualinfer">Casual Inference Podcast | Twitter</a></li><li><a href="https://youtu.be/-W2ku4-fp10">Communicating Complex Statistics (video)</a></li><li><a href="https://docs.google.com/presentation/d/1fO4vZn-dNII4UOd1itjomZW1oBcv51jDv7r35RGKc3M/edit?usp=sharing">Communicating Complex Statistics (slides)</a></li></ul><p>Practical AI is a “Media Sponsor” of the <a href="https://rstats.ai/gov">R Conference | Government &amp; Public Sector</a>, where Lucy D’Agostino McGowan is giving the talk with Malcolm Barrett called “Causal Inference in R”, as well as a workshop with the same title.</p><p>This will be the first ever R Conference focused on data science work in government, defense, and the public sector.</p><p>Practical AI listeners get a special discount code valid for 20% off all ticket types, General &amp; Academic Admission and workshops:</p><p><strong>PRACTICALAI20</strong></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/lucystats" img="https://img.transistorcdn.com/qlDdKAMmdUATgeRpbzlnIRByVYM32n2gV4AnFMSjXRk/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9iMjcx/YTQyMWQ1YmViN2Qy/OWEwYmEyMTMyMTVh/YjJkNC5qcGc.jpg">Lucy D'Agostino McGowan</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Building a deep learning workstation</title>
      <itunes:episode>112</itunes:episode>
      <podcast:episode>112</podcast:episode>
      <itunes:title>Building a deep learning workstation</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1126</guid>
      <link>https://share.transistor.fm/s/c0861e4d</link>
      <description>
        <![CDATA[<p>What’s it like to try and build your own deep learning workstation? Is it worth it in terms of money, effort, and maintenance? Then once built, what’s the best way to utilize it? Chris and Daniel dig into questions today as they talk about Daniel’s recent workstation build. He built a workstation for his NLP and Speech work with two GPUs, and it has been serving him well (minus a few things he would change if he did it again).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Daniel’s workstation components:</p><ul><li>CPU - AMD YD292XA8AFWOF Ryzen Threadripper 2920X</li><li>CPU cooler - Noctua NH-U12S TR4-SP3, Premium-Grade CPU Cooler for AMD sTRX4/TR4/SP3</li><li>Motherboard - GIGABYTE X399 AORUS PRO</li><li>Memory - Corsair Vengeance LPX 16GB (2x 2 packs), total 64GB</li><li>Storage 1 - Samsung (MZ-V7S1T0B/AM) 970 EVO Plus SSD 1TB</li><li>GPU 1 - RTX 2080 Ti</li><li>GPU 2 - Titan RTX</li><li>Case - Lian Li PC-O11AIR</li><li>Power Supply - Rosewill Hercules</li><li>Case fan(s) - Coolmaster 8mm</li></ul><p>Daniel’s <a href="https://simplynuc.com/9i7QNX-full/">NUC 9 Extreme machine</a></p><p>References:</p><ul><li><a href="https://medium.com/the-mission/how-to-build-the-perfect-deep-learning-computer-and-save-thousands-of-dollars-9ec3b2eb4ce2">How to build the perfect Deep Learning Computer and save thousands of dollars</a></li><li><a href="https://l7.curtisnorthcutt.com/tag/build-gpu-rig/">Curtis Northcut’s blog posts</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>What’s it like to try and build your own deep learning workstation? Is it worth it in terms of money, effort, and maintenance? Then once built, what’s the best way to utilize it? Chris and Daniel dig into questions today as they talk about Daniel’s recent workstation build. He built a workstation for his NLP and Speech work with two GPUs, and it has been serving him well (minus a few things he would change if he did it again).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Daniel’s workstation components:</p><ul><li>CPU - AMD YD292XA8AFWOF Ryzen Threadripper 2920X</li><li>CPU cooler - Noctua NH-U12S TR4-SP3, Premium-Grade CPU Cooler for AMD sTRX4/TR4/SP3</li><li>Motherboard - GIGABYTE X399 AORUS PRO</li><li>Memory - Corsair Vengeance LPX 16GB (2x 2 packs), total 64GB</li><li>Storage 1 - Samsung (MZ-V7S1T0B/AM) 970 EVO Plus SSD 1TB</li><li>GPU 1 - RTX 2080 Ti</li><li>GPU 2 - Titan RTX</li><li>Case - Lian Li PC-O11AIR</li><li>Power Supply - Rosewill Hercules</li><li>Case fan(s) - Coolmaster 8mm</li></ul><p>Daniel’s <a href="https://simplynuc.com/9i7QNX-full/">NUC 9 Extreme machine</a></p><p>References:</p><ul><li><a href="https://medium.com/the-mission/how-to-build-the-perfect-deep-learning-computer-and-save-thousands-of-dollars-9ec3b2eb4ce2">How to build the perfect Deep Learning Computer and save thousands of dollars</a></li><li><a href="https://l7.curtisnorthcutt.com/tag/build-gpu-rig/">Curtis Northcut’s blog posts</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 17 Nov 2020 10:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/c0861e4d/2c901a7a.mp3" length="47613742" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2968</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>What’s it like to try and build your own deep learning workstation? Is it worth it in terms of money, effort, and maintenance? Then once built, what’s the best way to utilize it? Chris and Daniel dig into questions today as they talk about Daniel’s recent workstation build. He built a workstation for his NLP and Speech work with two GPUs, and it has been serving him well (minus a few things he would change if he did it again).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Get $100 in free credit to get started on Linode</strong> – our cloud of choice and the home of Changelog.com. Head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Daniel’s workstation components:</p><ul><li>CPU - AMD YD292XA8AFWOF Ryzen Threadripper 2920X</li><li>CPU cooler - Noctua NH-U12S TR4-SP3, Premium-Grade CPU Cooler for AMD sTRX4/TR4/SP3</li><li>Motherboard - GIGABYTE X399 AORUS PRO</li><li>Memory - Corsair Vengeance LPX 16GB (2x 2 packs), total 64GB</li><li>Storage 1 - Samsung (MZ-V7S1T0B/AM) 970 EVO Plus SSD 1TB</li><li>GPU 1 - RTX 2080 Ti</li><li>GPU 2 - Titan RTX</li><li>Case - Lian Li PC-O11AIR</li><li>Power Supply - Rosewill Hercules</li><li>Case fan(s) - Coolmaster 8mm</li></ul><p>Daniel’s <a href="https://simplynuc.com/9i7QNX-full/">NUC 9 Extreme machine</a></p><p>References:</p><ul><li><a href="https://medium.com/the-mission/how-to-build-the-perfect-deep-learning-computer-and-save-thousands-of-dollars-9ec3b2eb4ce2">How to build the perfect Deep Learning Computer and save thousands of dollars</a></li><li><a href="https://l7.curtisnorthcutt.com/tag/build-gpu-rig/">Curtis Northcut’s blog posts</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Killer developer tools for machine learning</title>
      <itunes:episode>111</itunes:episode>
      <podcast:episode>111</podcast:episode>
      <itunes:title>Killer developer tools for machine learning</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1120</guid>
      <link>https://share.transistor.fm/s/209b5978</link>
      <description>
        <![CDATA[<p><a href="https://www.wandb.com/">Weights &amp; Biases</a> is coming up with some awesome developer tools for AI practitioners! In this episode, Lukas Biewald describes how these tools were a direct result of pain points that he uncovered while working as an AI intern at OpenAI. He also shares his vision for the future of machine learning tooling and where he would like to see people level up tool-wise.</p><p><br></p><p>Featuring:</p><ul><li>Lukas Biewald – <a href="https://lukasbiewald.com">Website</a>, <a href="https://github.com/lukas">GitHub</a>, <a href="https://x.com/l2k">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.wandb.com/">Weights &amp; Biases</a></li><li><a href="https://wandb.ai/blueriver/blog-post/reports/AI-For-AG-Production-ML-for-Agriculture--VmlldzoxNTA1MDg?accessToken=ps435xipm72k06ljgzl0442gmr64tj7ybpc2xublpxgymsrgiy3rug7egcuh6spo">Blueriver case study from W&amp;B</a></li><li><a href="https://wandb.ai/gallery">W&amp;B gallery</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><a href="https://www.wandb.com/">Weights &amp; Biases</a> is coming up with some awesome developer tools for AI practitioners! In this episode, Lukas Biewald describes how these tools were a direct result of pain points that he uncovered while working as an AI intern at OpenAI. He also shares his vision for the future of machine learning tooling and where he would like to see people level up tool-wise.</p><p><br></p><p>Featuring:</p><ul><li>Lukas Biewald – <a href="https://lukasbiewald.com">Website</a>, <a href="https://github.com/lukas">GitHub</a>, <a href="https://x.com/l2k">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.wandb.com/">Weights &amp; Biases</a></li><li><a href="https://wandb.ai/blueriver/blog-post/reports/AI-For-AG-Production-ML-for-Agriculture--VmlldzoxNTA1MDg?accessToken=ps435xipm72k06ljgzl0442gmr64tj7ybpc2xublpxgymsrgiy3rug7egcuh6spo">Blueriver case study from W&amp;B</a></li><li><a href="https://wandb.ai/gallery">W&amp;B gallery</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 09 Nov 2020 12:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/209b5978/34ddeabc.mp3" length="48778854" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3041</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><a href="https://www.wandb.com/">Weights &amp; Biases</a> is coming up with some awesome developer tools for AI practitioners! In this episode, Lukas Biewald describes how these tools were a direct result of pain points that he uncovered while working as an AI intern at OpenAI. He also shares his vision for the future of machine learning tooling and where he would like to see people level up tool-wise.</p><p><br></p><p>Featuring:</p><ul><li>Lukas Biewald – <a href="https://lukasbiewald.com">Website</a>, <a href="https://github.com/lukas">GitHub</a>, <a href="https://x.com/l2k">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.wandb.com/">Weights &amp; Biases</a></li><li><a href="https://wandb.ai/blueriver/blog-post/reports/AI-For-AG-Production-ML-for-Agriculture--VmlldzoxNTA1MDg?accessToken=ps435xipm72k06ljgzl0442gmr64tj7ybpc2xublpxgymsrgiy3rug7egcuh6spo">Blueriver case study from W&amp;B</a></li><li><a href="https://wandb.ai/gallery">W&amp;B gallery</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/l2k" img="https://img.transistorcdn.com/nl3vMw17XC0RmsGwoVZHLTor2s-SU8tlYMy81beFf28/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZjRk/ZjE3ODJjZWExYjkz/MjVkZWE1MGE1MjZi/MTNiOS5qcGc.jpg">Lukas Biewald</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Reinforcement Learning for search</title>
      <itunes:episode>110</itunes:episode>
      <podcast:episode>110</podcast:episode>
      <itunes:title>Reinforcement Learning for search</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1116</guid>
      <link>https://share.transistor.fm/s/051442de</link>
      <description>
        <![CDATA[<p>Hamish from Sajari blows our mind with a great discussion about AI in search. In particular, he talks about Sajari’s quest for performant AI implementations and extensive use of Reinforcement Learning (RL). We’ve been wanting to make this one happen for a while, and it was well worth the wait.</p><p><br></p><p>Featuring:</p><ul><li>Hamish Ogilvy – <a href="https://x.com/hamishogilvy">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.sajari.com/">Sajari</a></li><li><a href="https://www.sajari.com/blog/reinforcement-learning-assisted-search-ranking/">Blog post: “Reinforcement Learning Assisted Search Ranking”</a></li><li><a href="https://www.sajari.com/blog/query-understanding-101/">Blog post: “Query Understanding 101”</a></li><li><a href="https://www.sajari.com/blog/search-ai-tech/">Blog post: “The Inevitable Collision of Search and AI Tech”</a></li><li><a href="https://try.sajari.com/changelog">Special offer from Sajari for Changelog listeners</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Hamish from Sajari blows our mind with a great discussion about AI in search. In particular, he talks about Sajari’s quest for performant AI implementations and extensive use of Reinforcement Learning (RL). We’ve been wanting to make this one happen for a while, and it was well worth the wait.</p><p><br></p><p>Featuring:</p><ul><li>Hamish Ogilvy – <a href="https://x.com/hamishogilvy">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.sajari.com/">Sajari</a></li><li><a href="https://www.sajari.com/blog/reinforcement-learning-assisted-search-ranking/">Blog post: “Reinforcement Learning Assisted Search Ranking”</a></li><li><a href="https://www.sajari.com/blog/query-understanding-101/">Blog post: “Query Understanding 101”</a></li><li><a href="https://www.sajari.com/blog/search-ai-tech/">Blog post: “The Inevitable Collision of Search and AI Tech”</a></li><li><a href="https://try.sajari.com/changelog">Special offer from Sajari for Changelog listeners</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 26 Oct 2020 17:15:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/051442de/628eefd9.mp3" length="45314815" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2824</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Hamish from Sajari blows our mind with a great discussion about AI in search. In particular, he talks about Sajari’s quest for performant AI implementations and extensive use of Reinforcement Learning (RL). We’ve been wanting to make this one happen for a while, and it was well worth the wait.</p><p><br></p><p>Featuring:</p><ul><li>Hamish Ogilvy – <a href="https://x.com/hamishogilvy">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.sajari.com/">Sajari</a></li><li><a href="https://www.sajari.com/blog/reinforcement-learning-assisted-search-ranking/">Blog post: “Reinforcement Learning Assisted Search Ranking”</a></li><li><a href="https://www.sajari.com/blog/query-understanding-101/">Blog post: “Query Understanding 101”</a></li><li><a href="https://www.sajari.com/blog/search-ai-tech/">Blog post: “The Inevitable Collision of Search and AI Tech”</a></li><li><a href="https://try.sajari.com/changelog">Special offer from Sajari for Changelog listeners</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/hamishogilvy" img="https://img.transistorcdn.com/pP7BPpSXDrpz-oSN2NwBqpFHxUqpW9357u3nhmHFwec/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wOWNj/NGE3ZDU4Y2VkZDUy/ZmUwMWRhZDg3MjM2/Mzg0MC5qcGc.jpg">Hamish Ogilvy</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>When data leakage turns into a flood of trouble</title>
      <itunes:episode>109</itunes:episode>
      <podcast:episode>109</podcast:episode>
      <itunes:title>When data leakage turns into a flood of trouble</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1075</guid>
      <link>https://share.transistor.fm/s/7bcff241</link>
      <description>
        <![CDATA[<p>Rajiv Shah teaches Daniel and Chris about data leakage, and its major impact upon machine learning models. It’s the kind of topic that we don’t often think about, but which can ruin our results. Raj discusses how to use activation maps and image embedding to find leakage, so that leaking information in our test set does not find its way into our training set.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Rajiv Shah – <a href="https://www.rajivshah.com">Website</a>, <a href="https://github.com/rajshah4">GitHub</a>, <a href="https://www.linkedin.com/in/rajistics">LinkedIn</a>, <a href="https://x.com/rajistics">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://comm.uic.edu/profiles/rajiv-shah">Rajiv Shah | University of Illinois at Chicago</a></li><li><a href="https://www.datarobot.com/blog/author/rajiv-shah">Rajiv Shah | DataRobot Blog</a></li><li><a href="https://www.datarobot.com">DataRobot</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Rajiv Shah teaches Daniel and Chris about data leakage, and its major impact upon machine learning models. It’s the kind of topic that we don’t often think about, but which can ruin our results. Raj discusses how to use activation maps and image embedding to find leakage, so that leaking information in our test set does not find its way into our training set.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Rajiv Shah – <a href="https://www.rajivshah.com">Website</a>, <a href="https://github.com/rajshah4">GitHub</a>, <a href="https://www.linkedin.com/in/rajistics">LinkedIn</a>, <a href="https://x.com/rajistics">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://comm.uic.edu/profiles/rajiv-shah">Rajiv Shah | University of Illinois at Chicago</a></li><li><a href="https://www.datarobot.com/blog/author/rajiv-shah">Rajiv Shah | DataRobot Blog</a></li><li><a href="https://www.datarobot.com">DataRobot</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 20 Oct 2020 10:10:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/7bcff241/9426b2dc.mp3" length="46655915" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2908</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Rajiv Shah teaches Daniel and Chris about data leakage, and its major impact upon machine learning models. It’s the kind of topic that we don’t often think about, but which can ruin our results. Raj discusses how to use activation maps and image embedding to find leakage, so that leaking information in our test set does not find its way into our training set.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Rajiv Shah – <a href="https://www.rajivshah.com">Website</a>, <a href="https://github.com/rajshah4">GitHub</a>, <a href="https://www.linkedin.com/in/rajistics">LinkedIn</a>, <a href="https://x.com/rajistics">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://comm.uic.edu/profiles/rajiv-shah">Rajiv Shah | University of Illinois at Chicago</a></li><li><a href="https://www.datarobot.com/blog/author/rajiv-shah">Rajiv Shah | DataRobot Blog</a></li><li><a href="https://www.datarobot.com">DataRobot</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/rajshah" img="https://img.transistorcdn.com/TVlOAYwprDpwVadwGWxcZ-jkCQR_4NwzPOqvZDPMtDE/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zNDdh/NTk3ODhkOWZkNzIy/MzVjNTA1ZThiNGQ2/ODUwMS5qcGc.jpg">Rajiv Shah</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Productionizing AI at LinkedIn</title>
      <itunes:episode>108</itunes:episode>
      <podcast:episode>108</podcast:episode>
      <itunes:title>Productionizing AI at LinkedIn</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1070</guid>
      <link>https://share.transistor.fm/s/ca958d89</link>
      <description>
        <![CDATA[<p>Suju Rajan from LinkedIn joined us to talk about how they are operationalizing state-of-the-art AI at LinkedIn. She sheds light on how AI can and is being used in recruiting, and she weaves in some great explanations of how graph-structured data, personalization, and representation learning can be applied to LinkedIn’s candidate search problem. Suju is passionate about helping people deal with machine learning technical debt, and that gives this episode a good dose of practicality.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Suju Rajan – <a href="https://www.linkedin.com/in/suju-rajan">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://engineering.linkedin.com/blog/2019/04/ai-behind-linkedin-recruiter-search-and-recommendation-systems">The AI behind LinkedIn’s recruiter search</a></li><li><a href="https://www.tensorflow.org/tfx/">TensorFlow Extended (TFX)</a></li><li><a href="https://papers.nips.cc/paper/5656-hidden-technical-debt-in-machine-learning-systems.pdf">Paper: “Hidden Technical Debt in Machine Learning Systems”</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Suju Rajan from LinkedIn joined us to talk about how they are operationalizing state-of-the-art AI at LinkedIn. She sheds light on how AI can and is being used in recruiting, and she weaves in some great explanations of how graph-structured data, personalization, and representation learning can be applied to LinkedIn’s candidate search problem. Suju is passionate about helping people deal with machine learning technical debt, and that gives this episode a good dose of practicality.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Suju Rajan – <a href="https://www.linkedin.com/in/suju-rajan">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://engineering.linkedin.com/blog/2019/04/ai-behind-linkedin-recruiter-search-and-recommendation-systems">The AI behind LinkedIn’s recruiter search</a></li><li><a href="https://www.tensorflow.org/tfx/">TensorFlow Extended (TFX)</a></li><li><a href="https://papers.nips.cc/paper/5656-hidden-technical-debt-in-machine-learning-systems.pdf">Paper: “Hidden Technical Debt in Machine Learning Systems”</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 13 Oct 2020 11:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>3301</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Suju Rajan from LinkedIn joined us to talk about how they are operationalizing state-of-the-art AI at LinkedIn. She sheds light on how AI can and is being used in recruiting, and she weaves in some great explanations of how graph-structured data, personalization, and representation learning can be applied to LinkedIn’s candidate search problem. Suju is passionate about helping people deal with machine learning technical debt, and that gives this episode a good dose of practicality.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Suju Rajan – <a href="https://www.linkedin.com/in/suju-rajan">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://engineering.linkedin.com/blog/2019/04/ai-behind-linkedin-recruiter-search-and-recommendation-systems">The AI behind LinkedIn’s recruiter search</a></li><li><a href="https://www.tensorflow.org/tfx/">TensorFlow Extended (TFX)</a></li><li><a href="https://papers.nips.cc/paper/5656-hidden-technical-debt-in-machine-learning-systems.pdf">Paper: “Hidden Technical Debt in Machine Learning Systems”</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/sujurajan" img="https://img.transistorcdn.com/B3gi3iOs2NkhcV41qoRllGZ_q5kFYhiWz3gcnBU9ezc/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lNGY5/MzE5Njk0ZjUxZGE5/NDFmYjVkNzg3YzNi/MzNhMy5qcGVn.jpg">Suju Rajan</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>R, Data Science, &amp; Computational Biology</title>
      <itunes:episode>107</itunes:episode>
      <podcast:episode>107</podcast:episode>
      <itunes:title>R, Data Science, &amp; Computational Biology</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1059</guid>
      <link>https://share.transistor.fm/s/3f2ad634</link>
      <description>
        <![CDATA[<p>We’re partnering with the upcoming <a href="https://rstats.ai/">R Conference</a>, because the R Conference is well… amazing! Tons of great AI content, and they were nice enough to connect us to Daniel Chen for this episode. He discusses data science in Computational Biology and his perspective on data science project organization.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Daniel Chen – <a href="https://daniel.rbind.io">Website</a>, <a href="https://github.com/chendaniely">GitHub</a>, <a href="https://x.com/chendaniely">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>R Conference:</p><ul><li><a href="https://rstats.ai/gov/?utm_source=practicalai">Website</a></li><li>Twitter: <a href="https://twitter.com/rstatsdc">@rstatsdc</a></li><li><a href="rstats.ai/tickets?utm_source=practicalai">Tickets</a></li><li>Discount code <strong>PRACTICALAI20</strong> is good for 20% off every ticket type, including the conference &amp; all workshops</li></ul><p>Links relevant to the show:</p><ul><li><a href="https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000424">William Stafford Noble 2009 - A Quick Guide to Organizing Computational Biology Projects</a></li><li><a href="https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001745">Greg Wilson, et al. 2014: “Best Practices for Scientific Computing”</a></li><li><a href="https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005510">Greg Wilson, et al. 2017: “Good enough practices in scientific computing”</a></li><li>Jenny Bryan’s code smells: <a href="https://www.youtube.com/watch?v=7oyiPBjLAWY">link 1</a> and <a href="https://speakerdeck.com/jennybc/code-smells-and-feels?slide=23">link2</a></li><li><a href="https://speakerdeck.com/jennybc/how-to-name-files">Jenny Bryan on naming things</a></li><li><a href="https://resources.rstudio.com/rstudio-conf-2019/putting-empathy-in-action-building-a-community-of-practice-for-analytics-in-a-global-corporation">JD Long’s talk at rstudio::conf this year about being empathetic</a></li><li><a href="https://github.com/chendaniely/pyprojroot">python’s version of pyprojroot</a></li><li><a href="http://teachtogether.tech/">“Be kind: all else is details”. – Greg Wilson, Teaching Teach Together – The Rules</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0137891156">“Pandas for Everyone” by Daniel Chen</a></li><li><a href="https://www.amazon.com/dp/0815384572">“Advanced R” by Hadley Wickham</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We’re partnering with the upcoming <a href="https://rstats.ai/">R Conference</a>, because the R Conference is well… amazing! Tons of great AI content, and they were nice enough to connect us to Daniel Chen for this episode. He discusses data science in Computational Biology and his perspective on data science project organization.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Daniel Chen – <a href="https://daniel.rbind.io">Website</a>, <a href="https://github.com/chendaniely">GitHub</a>, <a href="https://x.com/chendaniely">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>R Conference:</p><ul><li><a href="https://rstats.ai/gov/?utm_source=practicalai">Website</a></li><li>Twitter: <a href="https://twitter.com/rstatsdc">@rstatsdc</a></li><li><a href="rstats.ai/tickets?utm_source=practicalai">Tickets</a></li><li>Discount code <strong>PRACTICALAI20</strong> is good for 20% off every ticket type, including the conference &amp; all workshops</li></ul><p>Links relevant to the show:</p><ul><li><a href="https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000424">William Stafford Noble 2009 - A Quick Guide to Organizing Computational Biology Projects</a></li><li><a href="https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001745">Greg Wilson, et al. 2014: “Best Practices for Scientific Computing”</a></li><li><a href="https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005510">Greg Wilson, et al. 2017: “Good enough practices in scientific computing”</a></li><li>Jenny Bryan’s code smells: <a href="https://www.youtube.com/watch?v=7oyiPBjLAWY">link 1</a> and <a href="https://speakerdeck.com/jennybc/code-smells-and-feels?slide=23">link2</a></li><li><a href="https://speakerdeck.com/jennybc/how-to-name-files">Jenny Bryan on naming things</a></li><li><a href="https://resources.rstudio.com/rstudio-conf-2019/putting-empathy-in-action-building-a-community-of-practice-for-analytics-in-a-global-corporation">JD Long’s talk at rstudio::conf this year about being empathetic</a></li><li><a href="https://github.com/chendaniely/pyprojroot">python’s version of pyprojroot</a></li><li><a href="http://teachtogether.tech/">“Be kind: all else is details”. – Greg Wilson, Teaching Teach Together – The Rules</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0137891156">“Pandas for Everyone” by Daniel Chen</a></li><li><a href="https://www.amazon.com/dp/0815384572">“Advanced R” by Hadley Wickham</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 06 Oct 2020 10:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3249</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We’re partnering with the upcoming <a href="https://rstats.ai/">R Conference</a>, because the R Conference is well… amazing! Tons of great AI content, and they were nice enough to connect us to Daniel Chen for this episode. He discusses data science in Computational Biology and his perspective on data science project organization.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Daniel Chen – <a href="https://daniel.rbind.io">Website</a>, <a href="https://github.com/chendaniely">GitHub</a>, <a href="https://x.com/chendaniely">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>R Conference:</p><ul><li><a href="https://rstats.ai/gov/?utm_source=practicalai">Website</a></li><li>Twitter: <a href="https://twitter.com/rstatsdc">@rstatsdc</a></li><li><a href="rstats.ai/tickets?utm_source=practicalai">Tickets</a></li><li>Discount code <strong>PRACTICALAI20</strong> is good for 20% off every ticket type, including the conference &amp; all workshops</li></ul><p>Links relevant to the show:</p><ul><li><a href="https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000424">William Stafford Noble 2009 - A Quick Guide to Organizing Computational Biology Projects</a></li><li><a href="https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.1001745">Greg Wilson, et al. 2014: “Best Practices for Scientific Computing”</a></li><li><a href="https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005510">Greg Wilson, et al. 2017: “Good enough practices in scientific computing”</a></li><li>Jenny Bryan’s code smells: <a href="https://www.youtube.com/watch?v=7oyiPBjLAWY">link 1</a> and <a href="https://speakerdeck.com/jennybc/code-smells-and-feels?slide=23">link2</a></li><li><a href="https://speakerdeck.com/jennybc/how-to-name-files">Jenny Bryan on naming things</a></li><li><a href="https://resources.rstudio.com/rstudio-conf-2019/putting-empathy-in-action-building-a-community-of-practice-for-analytics-in-a-global-corporation">JD Long’s talk at rstudio::conf this year about being empathetic</a></li><li><a href="https://github.com/chendaniely/pyprojroot">python’s version of pyprojroot</a></li><li><a href="http://teachtogether.tech/">“Be kind: all else is details”. – Greg Wilson, Teaching Teach Together – The Rules</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0137891156">“Pandas for Everyone” by Daniel Chen</a></li><li><a href="https://www.amazon.com/dp/0815384572">“Advanced R” by Hadley Wickham</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/chendaniely" img="https://img.transistorcdn.com/r497tdIbWwBFlNKM0_ovP0-uPn6G-GxVIl5cfxqTiQ4/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85OGZk/MGU4NjBlYWQxOGI3/MzUwOTEzYjk5YjRi/MDc2My5qcGc.jpg">Daniel Chen</podcast:person>
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      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Learning about (Deep) Learning</title>
      <itunes:episode>106</itunes:episode>
      <podcast:episode>106</podcast:episode>
      <itunes:title>Learning about (Deep) Learning</itunes:title>
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      <link>https://share.transistor.fm/s/467cb53a</link>
      <description>
        <![CDATA[<p>In anticipation of the upcoming NVIDIA GPU Technology Conference (GTC), Will Ramey joins Daniel and Chris to talk about education for artificial intelligence practitioners, and specifically the role that the NVIDIA Deep Learning Institute plays in the industry. Will’s insights from long experience are shaping how we all stay on top of AI, so don’t miss this ‘must learn’ episode.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Will Ramey – <a href="https://www.linkedin.com/in/wramey">LinkedIn</a>, <a href="https://x.com/wramey">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.nvidia.com/en-us/gtc">NVIDIA GPU Technology Conference</a>, October 5-9, 2020</li><li>20% off for our listeners! Use code <strong>CMINFDW20</strong> by 9/25 for additional 20% off</li><li><a href="https://www.nvidia.com/en-us/deep-learning-ai/education">NVIDIA Deep Learning Institute</a></li><li><a href="https://nvidianews.nvidia.com/news/nvidia-to-acquire-arm-for-40-billion-creating-worlds-premier-computing-company-for-the-age-of-ai">NVIDIA to Acquire Arm for $40 Billion</a></li><li><a href="https://www.nvidia.com/en-us/data-center/nvidia-ampere-gpu-architecture">NVIDIA Ampere Architecture</a></li><li><a href="https://www.nvidia.com/en-us/geforce/news/introducing-rtx-30-series-graphics-cards">GeForce RTX 30 Series Graphics Cards</a></li><li><a href="https://changelog.com/practicalai/15">Practical AI Episode #15: Artificial intelligence at NVIDIA with Chief Scientist Bill Dally</a></li><li><a href="https://changelog.com/practicalai/36">Practical AI Episode #36: Growing up to become a world-class AI expert<br> with Anima Anandkumar of NVIDIA and CalTech</a></li><li><a href="https://changelog.com/practicalai/90">Practical AI Episode #90: Fully-Connected with Chris and Daniel - Exploring NVIDIA’s Ampere &amp; the A100 GPU</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In anticipation of the upcoming NVIDIA GPU Technology Conference (GTC), Will Ramey joins Daniel and Chris to talk about education for artificial intelligence practitioners, and specifically the role that the NVIDIA Deep Learning Institute plays in the industry. Will’s insights from long experience are shaping how we all stay on top of AI, so don’t miss this ‘must learn’ episode.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Will Ramey – <a href="https://www.linkedin.com/in/wramey">LinkedIn</a>, <a href="https://x.com/wramey">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.nvidia.com/en-us/gtc">NVIDIA GPU Technology Conference</a>, October 5-9, 2020</li><li>20% off for our listeners! Use code <strong>CMINFDW20</strong> by 9/25 for additional 20% off</li><li><a href="https://www.nvidia.com/en-us/deep-learning-ai/education">NVIDIA Deep Learning Institute</a></li><li><a href="https://nvidianews.nvidia.com/news/nvidia-to-acquire-arm-for-40-billion-creating-worlds-premier-computing-company-for-the-age-of-ai">NVIDIA to Acquire Arm for $40 Billion</a></li><li><a href="https://www.nvidia.com/en-us/data-center/nvidia-ampere-gpu-architecture">NVIDIA Ampere Architecture</a></li><li><a href="https://www.nvidia.com/en-us/geforce/news/introducing-rtx-30-series-graphics-cards">GeForce RTX 30 Series Graphics Cards</a></li><li><a href="https://changelog.com/practicalai/15">Practical AI Episode #15: Artificial intelligence at NVIDIA with Chief Scientist Bill Dally</a></li><li><a href="https://changelog.com/practicalai/36">Practical AI Episode #36: Growing up to become a world-class AI expert<br> with Anima Anandkumar of NVIDIA and CalTech</a></li><li><a href="https://changelog.com/practicalai/90">Practical AI Episode #90: Fully-Connected with Chris and Daniel - Exploring NVIDIA’s Ampere &amp; the A100 GPU</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 21 Sep 2020 13:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/467cb53a/57ae3589.mp3" length="51285415" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3198</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In anticipation of the upcoming NVIDIA GPU Technology Conference (GTC), Will Ramey joins Daniel and Chris to talk about education for artificial intelligence practitioners, and specifically the role that the NVIDIA Deep Learning Institute plays in the industry. Will’s insights from long experience are shaping how we all stay on top of AI, so don’t miss this ‘must learn’ episode.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Will Ramey – <a href="https://www.linkedin.com/in/wramey">LinkedIn</a>, <a href="https://x.com/wramey">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.nvidia.com/en-us/gtc">NVIDIA GPU Technology Conference</a>, October 5-9, 2020</li><li>20% off for our listeners! Use code <strong>CMINFDW20</strong> by 9/25 for additional 20% off</li><li><a href="https://www.nvidia.com/en-us/deep-learning-ai/education">NVIDIA Deep Learning Institute</a></li><li><a href="https://nvidianews.nvidia.com/news/nvidia-to-acquire-arm-for-40-billion-creating-worlds-premier-computing-company-for-the-age-of-ai">NVIDIA to Acquire Arm for $40 Billion</a></li><li><a href="https://www.nvidia.com/en-us/data-center/nvidia-ampere-gpu-architecture">NVIDIA Ampere Architecture</a></li><li><a href="https://www.nvidia.com/en-us/geforce/news/introducing-rtx-30-series-graphics-cards">GeForce RTX 30 Series Graphics Cards</a></li><li><a href="https://changelog.com/practicalai/15">Practical AI Episode #15: Artificial intelligence at NVIDIA with Chief Scientist Bill Dally</a></li><li><a href="https://changelog.com/practicalai/36">Practical AI Episode #36: Growing up to become a world-class AI expert<br> with Anima Anandkumar of NVIDIA and CalTech</a></li><li><a href="https://changelog.com/practicalai/90">Practical AI Episode #90: Fully-Connected with Chris and Daniel - Exploring NVIDIA’s Ampere &amp; the A100 GPU</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/wramey" img="https://img.transistorcdn.com/_2maVuSsW4xkHFgVLfPKPWoeMwRgmebQWRpelqZ0JAE/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81ZTk0/MjUzYzc5NWIyYWNk/YWI5YmZlYjNmMGEy/ZmQzZS5qcGc.jpg">Will Ramey</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>When AI goes wrong</title>
      <itunes:episode>105</itunes:episode>
      <podcast:episode>105</podcast:episode>
      <itunes:title>When AI goes wrong</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1045</guid>
      <link>https://share.transistor.fm/s/3dd48eb7</link>
      <description>
        <![CDATA[<p>So, you trained a great AI model and deployed it in your app? It’s smooth sailing from there right? Well, not in most people’s experience. Sometimes things goes wrong, and you need to know how to respond to a real life AI incident. In this episode, Andrew and Patrick from BNH.ai join us to discuss an AI incident response plan along with some general discussion of debugging models, discrimination, privacy, and security.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://pace.dev">Pace.dev</a> – Minimalist web based management tool for your teams. Async by default communication and simplistic task management gives you everything you need to build your next thing. Brought to you by <em>Go Time</em> panelist Mat Ryer. <a href="https://pace.dev">Try it out today!</a></li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Andrew Burt – <a href="http://www.andrewdburt.com/">Website</a>, <a href="https://x.com/AndBurt">X</a></li><li>Patrick Hall – <a href="https://github.com/jphall663">GitHub</a>, <a href="https://x.com/jpatrickhall">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://bnh-ai.github.io/resources/">AI Incident Response Checklist and other BNH.ai resources</a></li><li><a href="https://www.datanami.com/2020/03/19/new-law-firm-tackles-ai-liability/">“New Law Firm Tackles AI Liability” (article about BNH.ai)</a></li><li><a href="https://algorithmwatch.org/en/ai-ethics-guidelines-inventory-upgrade-2020/">In the realm of paper tigers – exploring the failings of AI ethics guidelines</a></li><li><a href="https://debug-ml-iclr2019.github.io/">Debugging Machine Learning Models workshop</a></li><li><a href="https://www.oreilly.com/radar/why-you-should-care-about-debugging-machine-learning-models">Why you should care about debugging machine learning models</a></li><li><a href="https://towardsdatascience.com/strategies-for-model-debugging-aa822f1097ce">Strategies for model debugging</a></li><li><a href="https://www.ftc.gov/news-events/blogs/business-blog/2020/04/using-artificial-intelligence-algorithms">FTC: Using Artificial Intelligence and Algorithms</a></li><li><a href="https://www.federalreserve.gov/supervisionreg/srletters/sr1107.htm">SR 11-7: Guidance on Model Risk Management</a></li><li><a href="https://www.cnbc.com/2019/11/10/wall-street-regulator-probes-goldman-over-allegations-of-sexist-credit-decisions-at-apple-card.html">Apple Goldman case</a></li><li><a href="https://oag.ca.gov/privacy/ccpa">California Consumer Privacy Act (CCPA)</a></li><li><a href="https://changelog.com/practicalai/4">Previous episode: Data management, regulation, the future of AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>So, you trained a great AI model and deployed it in your app? It’s smooth sailing from there right? Well, not in most people’s experience. Sometimes things goes wrong, and you need to know how to respond to a real life AI incident. In this episode, Andrew and Patrick from BNH.ai join us to discuss an AI incident response plan along with some general discussion of debugging models, discrimination, privacy, and security.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://pace.dev">Pace.dev</a> – Minimalist web based management tool for your teams. Async by default communication and simplistic task management gives you everything you need to build your next thing. Brought to you by <em>Go Time</em> panelist Mat Ryer. <a href="https://pace.dev">Try it out today!</a></li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Andrew Burt – <a href="http://www.andrewdburt.com/">Website</a>, <a href="https://x.com/AndBurt">X</a></li><li>Patrick Hall – <a href="https://github.com/jphall663">GitHub</a>, <a href="https://x.com/jpatrickhall">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://bnh-ai.github.io/resources/">AI Incident Response Checklist and other BNH.ai resources</a></li><li><a href="https://www.datanami.com/2020/03/19/new-law-firm-tackles-ai-liability/">“New Law Firm Tackles AI Liability” (article about BNH.ai)</a></li><li><a href="https://algorithmwatch.org/en/ai-ethics-guidelines-inventory-upgrade-2020/">In the realm of paper tigers – exploring the failings of AI ethics guidelines</a></li><li><a href="https://debug-ml-iclr2019.github.io/">Debugging Machine Learning Models workshop</a></li><li><a href="https://www.oreilly.com/radar/why-you-should-care-about-debugging-machine-learning-models">Why you should care about debugging machine learning models</a></li><li><a href="https://towardsdatascience.com/strategies-for-model-debugging-aa822f1097ce">Strategies for model debugging</a></li><li><a href="https://www.ftc.gov/news-events/blogs/business-blog/2020/04/using-artificial-intelligence-algorithms">FTC: Using Artificial Intelligence and Algorithms</a></li><li><a href="https://www.federalreserve.gov/supervisionreg/srletters/sr1107.htm">SR 11-7: Guidance on Model Risk Management</a></li><li><a href="https://www.cnbc.com/2019/11/10/wall-street-regulator-probes-goldman-over-allegations-of-sexist-credit-decisions-at-apple-card.html">Apple Goldman case</a></li><li><a href="https://oag.ca.gov/privacy/ccpa">California Consumer Privacy Act (CCPA)</a></li><li><a href="https://changelog.com/practicalai/4">Previous episode: Data management, regulation, the future of AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 14 Sep 2020 18:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>3529</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>So, you trained a great AI model and deployed it in your app? It’s smooth sailing from there right? Well, not in most people’s experience. Sometimes things goes wrong, and you need to know how to respond to a real life AI incident. In this episode, Andrew and Patrick from BNH.ai join us to discuss an AI incident response plan along with some general discussion of debugging models, discrimination, privacy, and security.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://pace.dev">Pace.dev</a> – Minimalist web based management tool for your teams. Async by default communication and simplistic task management gives you everything you need to build your next thing. Brought to you by <em>Go Time</em> panelist Mat Ryer. <a href="https://pace.dev">Try it out today!</a></li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Andrew Burt – <a href="http://www.andrewdburt.com/">Website</a>, <a href="https://x.com/AndBurt">X</a></li><li>Patrick Hall – <a href="https://github.com/jphall663">GitHub</a>, <a href="https://x.com/jpatrickhall">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://bnh-ai.github.io/resources/">AI Incident Response Checklist and other BNH.ai resources</a></li><li><a href="https://www.datanami.com/2020/03/19/new-law-firm-tackles-ai-liability/">“New Law Firm Tackles AI Liability” (article about BNH.ai)</a></li><li><a href="https://algorithmwatch.org/en/ai-ethics-guidelines-inventory-upgrade-2020/">In the realm of paper tigers – exploring the failings of AI ethics guidelines</a></li><li><a href="https://debug-ml-iclr2019.github.io/">Debugging Machine Learning Models workshop</a></li><li><a href="https://www.oreilly.com/radar/why-you-should-care-about-debugging-machine-learning-models">Why you should care about debugging machine learning models</a></li><li><a href="https://towardsdatascience.com/strategies-for-model-debugging-aa822f1097ce">Strategies for model debugging</a></li><li><a href="https://www.ftc.gov/news-events/blogs/business-blog/2020/04/using-artificial-intelligence-algorithms">FTC: Using Artificial Intelligence and Algorithms</a></li><li><a href="https://www.federalreserve.gov/supervisionreg/srletters/sr1107.htm">SR 11-7: Guidance on Model Risk Management</a></li><li><a href="https://www.cnbc.com/2019/11/10/wall-street-regulator-probes-goldman-over-allegations-of-sexist-credit-decisions-at-apple-card.html">Apple Goldman case</a></li><li><a href="https://oag.ca.gov/privacy/ccpa">California Consumer Privacy Act (CCPA)</a></li><li><a href="https://changelog.com/practicalai/4">Previous episode: Data management, regulation, the future of AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/patrickhall" img="https://img.transistorcdn.com/X-lzuSjHkHeFhARRfSTklcO7BgPFpc9AjmfmLBNumGg/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xZjgy/ZWViMGI1Yjc3OTY3/MTg1OTc0OTEzNzRm/YjBlZS5qcGc.jpg">Patrick Hall</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/andrewburt" img="https://img.transistorcdn.com/c827jFp4cUqUy8BnNS-VU_-7a8vtGnpG-ZAT79I594o/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lMWVl/OWQ3YTA2YTFiMjdk/N2I4YTE1NmI3ZDhh/ZjViZC5wbmc.jpg">Andrew Burt</podcast:person>
    </item>
    <item>
      <title>Speech tech and Common Voice at Mozilla</title>
      <itunes:episode>104</itunes:episode>
      <podcast:episode>104</podcast:episode>
      <itunes:title>Speech tech and Common Voice at Mozilla</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1038</guid>
      <link>https://share.transistor.fm/s/62b03a44</link>
      <description>
        <![CDATA[<p>Many people are excited about creating usable speech technology. However, most of the audio data used by large companies isn’t available to the majority of people, and that data is often biased in terms of language, accent, and gender. Jenny, Josh, and Remy from Mozilla join us to discuss how Mozilla is building an open-source voice database that anyone can use to make innovative apps for devices and the web (Common Voice). They also discuss efforts through Mozilla fellowship program to develop speech tech for African languages and understand bias in data sets.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://pace.dev">Pace.dev</a> – Minimalist web based management tool for your teams. Async by default communication and simplistic task management gives you everything you need to build your next thing. Brought to you by <em>Go Time</em> panelist Mat Ryer. <a href="https://pace.dev">Try it out today!</a></li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Jenny Zhang – <a href="https://www.phirephoenix.com">Website</a>, <a href="https://x.com/phirephoenix">X</a></li><li>Remy Muhire – <a href="https://github.com/kenessajr">GitHub</a>, <a href="https://x.com/kenessajr">X</a></li><li>Josh Meyer – <a href="https://github.com/jrmeyer">GitHub</a>, <a href="https://x.com/_josh_meyer_">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://commonvoice.mozilla.org/en">Mozilla Common Voice</a></li><li><a href="https://foundation.mozilla.org/en/blog/mozilla-welcomes-two-new-fellows-voice-technology/">Announcement of Josh and Remy’s fellowship work on speech tech for African languages</a></li><li><a href="https://www.artie.com/blog/the-artie-bias-corpus">Artie Bias Corpus</a></li><li>Readings on Demographic Bias in ASR: <ul><li><a href="https://hbr.org/2019/05/voice-recognition-still-has-significant-race-and-gender-biases">Voice recognition still has significant race and gender biases</a></li><li><a href="http://www.ethicsinnlp.org/workshop/pdf/EthNLP06.pdf">Gender and Dialect Bias in YouTube’s Automatic Captions</a></li><li><a href="https://www.pnas.org/content/117/14/7684">Racial disparities in automated speech recognition</a></li></ul></li><li><a href="https://arxiv.org/pdf/1912.06670.pdf">Common Voice LREC Paper</a></li><li>Common Voice + DeepSpeech collaborators for Low-resource languages: <ul><li><a href="https://digitalumuganda.com/">Digital Umuganda</a></li><li><a href="http://www.air.ug/">AI Lab, Makerere University</a></li><li><a href="https://www.bangor.ac.uk/canolfanbedwyr/technolegau_iaith.php.en">Language Technologies Unit, Bangor University</a></li><li><a href="https://www.chinlanguages.org/community-resources">Linguistics Department, Indiana University Bloomington</a></li></ul></li><li>“under-sampled majority” is a quote from Joy Boulamwini (see <a href="https://www.bostonmagazine.com/news/2018/02/23/artificial-intelligence-race-dark-skin-bias/">this article</a>)</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Many people are excited about creating usable speech technology. However, most of the audio data used by large companies isn’t available to the majority of people, and that data is often biased in terms of language, accent, and gender. Jenny, Josh, and Remy from Mozilla join us to discuss how Mozilla is building an open-source voice database that anyone can use to make innovative apps for devices and the web (Common Voice). They also discuss efforts through Mozilla fellowship program to develop speech tech for African languages and understand bias in data sets.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://pace.dev">Pace.dev</a> – Minimalist web based management tool for your teams. Async by default communication and simplistic task management gives you everything you need to build your next thing. Brought to you by <em>Go Time</em> panelist Mat Ryer. <a href="https://pace.dev">Try it out today!</a></li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Jenny Zhang – <a href="https://www.phirephoenix.com">Website</a>, <a href="https://x.com/phirephoenix">X</a></li><li>Remy Muhire – <a href="https://github.com/kenessajr">GitHub</a>, <a href="https://x.com/kenessajr">X</a></li><li>Josh Meyer – <a href="https://github.com/jrmeyer">GitHub</a>, <a href="https://x.com/_josh_meyer_">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://commonvoice.mozilla.org/en">Mozilla Common Voice</a></li><li><a href="https://foundation.mozilla.org/en/blog/mozilla-welcomes-two-new-fellows-voice-technology/">Announcement of Josh and Remy’s fellowship work on speech tech for African languages</a></li><li><a href="https://www.artie.com/blog/the-artie-bias-corpus">Artie Bias Corpus</a></li><li>Readings on Demographic Bias in ASR: <ul><li><a href="https://hbr.org/2019/05/voice-recognition-still-has-significant-race-and-gender-biases">Voice recognition still has significant race and gender biases</a></li><li><a href="http://www.ethicsinnlp.org/workshop/pdf/EthNLP06.pdf">Gender and Dialect Bias in YouTube’s Automatic Captions</a></li><li><a href="https://www.pnas.org/content/117/14/7684">Racial disparities in automated speech recognition</a></li></ul></li><li><a href="https://arxiv.org/pdf/1912.06670.pdf">Common Voice LREC Paper</a></li><li>Common Voice + DeepSpeech collaborators for Low-resource languages: <ul><li><a href="https://digitalumuganda.com/">Digital Umuganda</a></li><li><a href="http://www.air.ug/">AI Lab, Makerere University</a></li><li><a href="https://www.bangor.ac.uk/canolfanbedwyr/technolegau_iaith.php.en">Language Technologies Unit, Bangor University</a></li><li><a href="https://www.chinlanguages.org/community-resources">Linguistics Department, Indiana University Bloomington</a></li></ul></li><li>“under-sampled majority” is a quote from Joy Boulamwini (see <a href="https://www.bostonmagazine.com/news/2018/02/23/artificial-intelligence-race-dark-skin-bias/">this article</a>)</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 09 Sep 2020 11:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/62b03a44/f2678532.mp3" length="56281927" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3511</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Many people are excited about creating usable speech technology. However, most of the audio data used by large companies isn’t available to the majority of people, and that data is often biased in terms of language, accent, and gender. Jenny, Josh, and Remy from Mozilla join us to discuss how Mozilla is building an open-source voice database that anyone can use to make innovative apps for devices and the web (Common Voice). They also discuss efforts through Mozilla fellowship program to develop speech tech for African languages and understand bias in data sets.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://pace.dev">Pace.dev</a> – Minimalist web based management tool for your teams. Async by default communication and simplistic task management gives you everything you need to build your next thing. Brought to you by <em>Go Time</em> panelist Mat Ryer. <a href="https://pace.dev">Try it out today!</a></li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Jenny Zhang – <a href="https://www.phirephoenix.com">Website</a>, <a href="https://x.com/phirephoenix">X</a></li><li>Remy Muhire – <a href="https://github.com/kenessajr">GitHub</a>, <a href="https://x.com/kenessajr">X</a></li><li>Josh Meyer – <a href="https://github.com/jrmeyer">GitHub</a>, <a href="https://x.com/_josh_meyer_">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://commonvoice.mozilla.org/en">Mozilla Common Voice</a></li><li><a href="https://foundation.mozilla.org/en/blog/mozilla-welcomes-two-new-fellows-voice-technology/">Announcement of Josh and Remy’s fellowship work on speech tech for African languages</a></li><li><a href="https://www.artie.com/blog/the-artie-bias-corpus">Artie Bias Corpus</a></li><li>Readings on Demographic Bias in ASR: <ul><li><a href="https://hbr.org/2019/05/voice-recognition-still-has-significant-race-and-gender-biases">Voice recognition still has significant race and gender biases</a></li><li><a href="http://www.ethicsinnlp.org/workshop/pdf/EthNLP06.pdf">Gender and Dialect Bias in YouTube’s Automatic Captions</a></li><li><a href="https://www.pnas.org/content/117/14/7684">Racial disparities in automated speech recognition</a></li></ul></li><li><a href="https://arxiv.org/pdf/1912.06670.pdf">Common Voice LREC Paper</a></li><li>Common Voice + DeepSpeech collaborators for Low-resource languages: <ul><li><a href="https://digitalumuganda.com/">Digital Umuganda</a></li><li><a href="http://www.air.ug/">AI Lab, Makerere University</a></li><li><a href="https://www.bangor.ac.uk/canolfanbedwyr/technolegau_iaith.php.en">Language Technologies Unit, Bangor University</a></li><li><a href="https://www.chinlanguages.org/community-resources">Linguistics Department, Indiana University Bloomington</a></li></ul></li><li>“under-sampled majority” is a quote from Joy Boulamwini (see <a href="https://www.bostonmagazine.com/news/2018/02/23/artificial-intelligence-race-dark-skin-bias/">this article</a>)</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/phirephoenix" img="https://img.transistorcdn.com/f4n15KU9ZOfEJ2nfcAshqZLm-JtLAM_oMsiuyJgqJJk/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZDk2/MmY1ZjQ2NDMxYTgw/ODgxMDRjN2RhZTkx/ZDlhZC5qcGc.jpg">Jenny Zhang</podcast:person>
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      <podcast:person role="Guest" href="https://changelog.com/person/jrmeyer" img="https://img.transistorcdn.com/awXxyT56jtBP9UenPDINEKV9jFu0U3Z8lr0SeHnvYyA/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wOTA4/YjNhMTNiZjVlYjIz/ZjA0NjA2OTgxYWQ4/YjYwNC5qcGc.jpg">Josh Meyer</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Getting Waymo into autonomous driving</title>
      <itunes:episode>103</itunes:episode>
      <podcast:episode>103</podcast:episode>
      <itunes:title>Getting Waymo into autonomous driving</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/1f75eb41</link>
      <description>
        <![CDATA[<p>Waymo’s mission is to make it safe and easy for people and things to get where they’re going.<br> After describing the state of the industry, Drago Anguelov - Principal Scientist and Head of Research at Waymo - takes us on a deep dive into the world of AI-powered autonomous driving. Starting with Waymo’s approach to autonomous driving, Drago then delights Daniel and Chris with a tour of the algorithmic tools in the autonomy toolbox.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Drago Anguelov – <a href="https://www.linkedin.com/in/dragomiranguelov">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://scholar.google.com/citations?user=T04c3fwAAAAJ">Dragomir Anguelov - Google Scholar</a></li><li><a href="https://youtu.be/BV4EXwlb3yo">Drago Anguelov – Machine Learning for Autonomous Driving at Scale</a></li><li><a href="https://waymo.com">Waymo</a></li><li><a href="https://twitter.com/waymo">Waymo - Twitter</a></li><li><a href="https://www.linkedin.com/company/waymo">Waymo - LinkedIn</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Waymo’s mission is to make it safe and easy for people and things to get where they’re going.<br> After describing the state of the industry, Drago Anguelov - Principal Scientist and Head of Research at Waymo - takes us on a deep dive into the world of AI-powered autonomous driving. Starting with Waymo’s approach to autonomous driving, Drago then delights Daniel and Chris with a tour of the algorithmic tools in the autonomy toolbox.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Drago Anguelov – <a href="https://www.linkedin.com/in/dragomiranguelov">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://scholar.google.com/citations?user=T04c3fwAAAAJ">Dragomir Anguelov - Google Scholar</a></li><li><a href="https://youtu.be/BV4EXwlb3yo">Drago Anguelov – Machine Learning for Autonomous Driving at Scale</a></li><li><a href="https://waymo.com">Waymo</a></li><li><a href="https://twitter.com/waymo">Waymo - Twitter</a></li><li><a href="https://www.linkedin.com/company/waymo">Waymo - LinkedIn</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 01 Sep 2020 10:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/1f75eb41/785ff6db.mp3" length="58277268" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3636</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Waymo’s mission is to make it safe and easy for people and things to get where they’re going.<br> After describing the state of the industry, Drago Anguelov - Principal Scientist and Head of Research at Waymo - takes us on a deep dive into the world of AI-powered autonomous driving. Starting with Waymo’s approach to autonomous driving, Drago then delights Daniel and Chris with a tour of the algorithmic tools in the autonomy toolbox.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Drago Anguelov – <a href="https://www.linkedin.com/in/dragomiranguelov">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://scholar.google.com/citations?user=T04c3fwAAAAJ">Dragomir Anguelov - Google Scholar</a></li><li><a href="https://youtu.be/BV4EXwlb3yo">Drago Anguelov – Machine Learning for Autonomous Driving at Scale</a></li><li><a href="https://waymo.com">Waymo</a></li><li><a href="https://twitter.com/waymo">Waymo - Twitter</a></li><li><a href="https://www.linkedin.com/company/waymo">Waymo - LinkedIn</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/dragomir" img="https://img.transistorcdn.com/x7ApGaYMvpTVKDIHJLYv0fl1Uo7V5ZGGewqNcLV4uA8/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81Y2Vj/NWRjOGJjNWNkZmRm/ZjcwNmIyNzBjNGJh/YjdhMi5qcGVn.jpg">Drago Anguelov</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Hidden Door and so much more</title>
      <itunes:episode>102</itunes:episode>
      <podcast:episode>102</podcast:episode>
      <itunes:title>Hidden Door and so much more</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1025</guid>
      <link>https://share.transistor.fm/s/f94923db</link>
      <description>
        <![CDATA[<p>Hilary Mason is building a new way for kids and families to create stories with AI. It’s called <a href="https://www.hiddendoor.co">Hidden Door</a>, and in her first interview since founding it, Hilary reveals to Chris and Daniel what the experience will be like for kids. It’s the first Practical AI episode in which some of the questions came from Chris’s 8yo daughter Athena.</p><p>Hilary also shares her insights into various topics, like how to build data science communities during the COVID-19 Pandemic, reasons why data science goes wrong, and how to build great data-based products. Don’t miss this episode packed with hard-won wisdom!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Hilary Mason – <a href="https://hilarymason.com">Website</a>, <a href="https://www.linkedin.com/in/hilarymason">LinkedIn</a>, <a href="https://x.com/hmason">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.hiddendoor.co">Hidden Door</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Hilary Mason is building a new way for kids and families to create stories with AI. It’s called <a href="https://www.hiddendoor.co">Hidden Door</a>, and in her first interview since founding it, Hilary reveals to Chris and Daniel what the experience will be like for kids. It’s the first Practical AI episode in which some of the questions came from Chris’s 8yo daughter Athena.</p><p>Hilary also shares her insights into various topics, like how to build data science communities during the COVID-19 Pandemic, reasons why data science goes wrong, and how to build great data-based products. Don’t miss this episode packed with hard-won wisdom!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Hilary Mason – <a href="https://hilarymason.com">Website</a>, <a href="https://www.linkedin.com/in/hilarymason">LinkedIn</a>, <a href="https://x.com/hmason">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.hiddendoor.co">Hidden Door</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 24 Aug 2020 16:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/f94923db/6d7469bf.mp3" length="53935029" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3364</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Hilary Mason is building a new way for kids and families to create stories with AI. It’s called <a href="https://www.hiddendoor.co">Hidden Door</a>, and in her first interview since founding it, Hilary reveals to Chris and Daniel what the experience will be like for kids. It’s the first Practical AI episode in which some of the questions came from Chris’s 8yo daughter Athena.</p><p>Hilary also shares her insights into various topics, like how to build data science communities during the COVID-19 Pandemic, reasons why data science goes wrong, and how to build great data-based products. Don’t miss this episode packed with hard-won wisdom!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Hilary Mason – <a href="https://hilarymason.com">Website</a>, <a href="https://www.linkedin.com/in/hilarymason">LinkedIn</a>, <a href="https://x.com/hmason">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.hiddendoor.co">Hidden Door</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/hmason" img="https://img.transistorcdn.com/Ge6Yx7og0y5WWt0MP0gLVdA_5iuYdL_DFTwjc2MorsQ/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lNjE2/ZmMwOTEzNmJlZmE3/OTFkODM0NzIzYzky/ZmQ1NS5qcGc.jpg">Hilary Mason</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Building the world's most popular data science platform</title>
      <itunes:episode>101</itunes:episode>
      <podcast:episode>101</podcast:episode>
      <itunes:title>Building the world's most popular data science platform</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1021</guid>
      <link>https://share.transistor.fm/s/2fc8428e</link>
      <description>
        <![CDATA[<p>Everyone working in data science and AI knows about Anaconda and has probably “conda” installed something. But how did Anaconda get started and what are they working on now? Peter Wang, CEO of Anaconda and creator of PyData and popular packages like Bokeh and DataShader, joins us to discuss that and much more. Peter gives some great insights on the Python AI ecosystem and very practical advice for scaling up your data science operation.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Peter Wang – <a href="https://www.anaconda.com">Website</a>, <a href="https://x.com/pwang">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.anaconda.com/">Anaconda</a></li><li><a href="https://pydata.org/">PyData</a></li><li><a href="https://numfocus.org/">NumFOCUS</a></li><li><a href="https://jupyter.org/">Jupyter</a></li><li><a href="http://numba.pydata.org/">Numba</a></li><li><a href="https://github.com/google/jax">JAX</a></li><li><a href="https://www.masakhane.io/">Masakhane</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Everyone working in data science and AI knows about Anaconda and has probably “conda” installed something. But how did Anaconda get started and what are they working on now? Peter Wang, CEO of Anaconda and creator of PyData and popular packages like Bokeh and DataShader, joins us to discuss that and much more. Peter gives some great insights on the Python AI ecosystem and very practical advice for scaling up your data science operation.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Peter Wang – <a href="https://www.anaconda.com">Website</a>, <a href="https://x.com/pwang">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.anaconda.com/">Anaconda</a></li><li><a href="https://pydata.org/">PyData</a></li><li><a href="https://numfocus.org/">NumFOCUS</a></li><li><a href="https://jupyter.org/">Jupyter</a></li><li><a href="http://numba.pydata.org/">Numba</a></li><li><a href="https://github.com/google/jax">JAX</a></li><li><a href="https://www.masakhane.io/">Masakhane</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 17 Aug 2020 16:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/2fc8428e/f7d8e3c0.mp3" length="56952078" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3553</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Everyone working in data science and AI knows about Anaconda and has probably “conda” installed something. But how did Anaconda get started and what are they working on now? Peter Wang, CEO of Anaconda and creator of PyData and popular packages like Bokeh and DataShader, joins us to discuss that and much more. Peter gives some great insights on the Python AI ecosystem and very practical advice for scaling up your data science operation.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Peter Wang – <a href="https://www.anaconda.com">Website</a>, <a href="https://x.com/pwang">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.anaconda.com/">Anaconda</a></li><li><a href="https://pydata.org/">PyData</a></li><li><a href="https://numfocus.org/">NumFOCUS</a></li><li><a href="https://jupyter.org/">Jupyter</a></li><li><a href="http://numba.pydata.org/">Numba</a></li><li><a href="https://github.com/google/jax">JAX</a></li><li><a href="https://www.masakhane.io/">Masakhane</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/peterwang" img="https://img.transistorcdn.com/Tcd8Ax16Gk4BeC9lmAnIAMnyjIovvTnTMxJ3fH_cYSE/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mNjRm/NDMyYzNmNTRiMDBm/ZTU2OGRmMDVmNzI3/NmQ3OC5qcGc.jpg">Peter Wang</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Practical AI turns 100!!! 🎉</title>
      <itunes:episode>100</itunes:episode>
      <podcast:episode>100</podcast:episode>
      <itunes:title>Practical AI turns 100!!! 🎉</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1020</guid>
      <link>https://share.transistor.fm/s/8a1f01e3</link>
      <description>
        <![CDATA[<p>We made it to 100 episodes of Practical AI! It has been a privilege to have had so many great guests and discussions about everything from AGI to GPUs to AI for good. In this episode, we circle back to the beginning when Jerod and Adam from <a href="https://changelog.com/podcast">The Changelog</a> helped us kick off the podcast. We discuss how our perspectives have changed over time, what it has been like to host an AI podcast, and what the future of AI might look like. (<a href="https://changelog.com/posts/practical-ai-100th-episode-giveaway">GIVEAWAY!</a>)</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Adam Stacoviak – <a href="https://adamstacoviak.com/">Website</a>, <a href="https://github.com/adamstac">GitHub</a>, <a href="https://www.linkedin.com/in/adamstacoviak">LinkedIn</a>, <a href="https://changelog.social/@adam">Mastodon</a>, <a href="https://x.com/adamstac">X</a></li><li>Jerod Santo – <a href="https://github.com/jerodsanto">GitHub</a>, <a href="https://www.linkedin.com/in/jerodsanto">LinkedIn</a>, <a href="https://changelog.social/@jerod">Mastodon</a>, <a href="https://x.com/jerodsanto">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://changelog.com/posts/practical-ai-100th-episode-giveaway">Enter to win some awesome AI hardware bundles</a>!</li><li><a href="https://twitter.com/srush_nlp/status/1289311254167924736">Sasha Rush on trends from ICLR</a></li></ul><p>Episodes mentioned on the show:</p><ul><li><a href="https://changelog.com/practicalai/97">MLOps and tracking experiments with Allegro AI</a></li><li><a href="https://changelog.com/practicalai/91">Explaining AI explainability (Darwin AI)</a></li><li><a href="https://changelog.com/practicalai/96">Practical AI Ethics</a></li><li><a href="https://changelog.com/practicalai/48">Model inspection and interpretation at Seldon</a></li><li><a href="https://changelog.com/practicalai/99">Attack of the C̶l̶o̶n̶e̶s̶ Text!</a></li><li><a href="https://changelog.com/practicalai/98">🤗 All things transformers with Hugging Face</a></li><li><a href="https://changelog.com/practicalai/85">Achieving provably beneficial, human-compatible AI</a></li><li><a href="https://changelog.com/practicalai/89">AI for Good: clean water access in Africa</a></li><li><a href="https://changelog.com/practicalai/86">Exploring the COVID-19 Open Research Dataset</a></li><li><a href="https://changelog.com/practicalai/15">Artificial intelligence at NVIDIA</a></li><li><a href="https://changelog.com/practicalai/36">Growing up to become a world-class AI expert</a></li><li><a href="https://changelog.com/practicalai/3">Helping African farmers with TensorFlow</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0244768528">“Interpretable Machine Learning” by Christoph Molnar</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We made it to 100 episodes of Practical AI! It has been a privilege to have had so many great guests and discussions about everything from AGI to GPUs to AI for good. In this episode, we circle back to the beginning when Jerod and Adam from <a href="https://changelog.com/podcast">The Changelog</a> helped us kick off the podcast. We discuss how our perspectives have changed over time, what it has been like to host an AI podcast, and what the future of AI might look like. (<a href="https://changelog.com/posts/practical-ai-100th-episode-giveaway">GIVEAWAY!</a>)</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Adam Stacoviak – <a href="https://adamstacoviak.com/">Website</a>, <a href="https://github.com/adamstac">GitHub</a>, <a href="https://www.linkedin.com/in/adamstacoviak">LinkedIn</a>, <a href="https://changelog.social/@adam">Mastodon</a>, <a href="https://x.com/adamstac">X</a></li><li>Jerod Santo – <a href="https://github.com/jerodsanto">GitHub</a>, <a href="https://www.linkedin.com/in/jerodsanto">LinkedIn</a>, <a href="https://changelog.social/@jerod">Mastodon</a>, <a href="https://x.com/jerodsanto">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://changelog.com/posts/practical-ai-100th-episode-giveaway">Enter to win some awesome AI hardware bundles</a>!</li><li><a href="https://twitter.com/srush_nlp/status/1289311254167924736">Sasha Rush on trends from ICLR</a></li></ul><p>Episodes mentioned on the show:</p><ul><li><a href="https://changelog.com/practicalai/97">MLOps and tracking experiments with Allegro AI</a></li><li><a href="https://changelog.com/practicalai/91">Explaining AI explainability (Darwin AI)</a></li><li><a href="https://changelog.com/practicalai/96">Practical AI Ethics</a></li><li><a href="https://changelog.com/practicalai/48">Model inspection and interpretation at Seldon</a></li><li><a href="https://changelog.com/practicalai/99">Attack of the C̶l̶o̶n̶e̶s̶ Text!</a></li><li><a href="https://changelog.com/practicalai/98">🤗 All things transformers with Hugging Face</a></li><li><a href="https://changelog.com/practicalai/85">Achieving provably beneficial, human-compatible AI</a></li><li><a href="https://changelog.com/practicalai/89">AI for Good: clean water access in Africa</a></li><li><a href="https://changelog.com/practicalai/86">Exploring the COVID-19 Open Research Dataset</a></li><li><a href="https://changelog.com/practicalai/15">Artificial intelligence at NVIDIA</a></li><li><a href="https://changelog.com/practicalai/36">Growing up to become a world-class AI expert</a></li><li><a href="https://changelog.com/practicalai/3">Helping African farmers with TensorFlow</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0244768528">“Interpretable Machine Learning” by Christoph Molnar</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 11 Aug 2020 11:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/8a1f01e3/5b57a087.mp3" length="67184787" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>4194</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We made it to 100 episodes of Practical AI! It has been a privilege to have had so many great guests and discussions about everything from AGI to GPUs to AI for good. In this episode, we circle back to the beginning when Jerod and Adam from <a href="https://changelog.com/podcast">The Changelog</a> helped us kick off the podcast. We discuss how our perspectives have changed over time, what it has been like to host an AI podcast, and what the future of AI might look like. (<a href="https://changelog.com/posts/practical-ai-100th-episode-giveaway">GIVEAWAY!</a>)</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Adam Stacoviak – <a href="https://adamstacoviak.com/">Website</a>, <a href="https://github.com/adamstac">GitHub</a>, <a href="https://www.linkedin.com/in/adamstacoviak">LinkedIn</a>, <a href="https://changelog.social/@adam">Mastodon</a>, <a href="https://x.com/adamstac">X</a></li><li>Jerod Santo – <a href="https://github.com/jerodsanto">GitHub</a>, <a href="https://www.linkedin.com/in/jerodsanto">LinkedIn</a>, <a href="https://changelog.social/@jerod">Mastodon</a>, <a href="https://x.com/jerodsanto">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://changelog.com/posts/practical-ai-100th-episode-giveaway">Enter to win some awesome AI hardware bundles</a>!</li><li><a href="https://twitter.com/srush_nlp/status/1289311254167924736">Sasha Rush on trends from ICLR</a></li></ul><p>Episodes mentioned on the show:</p><ul><li><a href="https://changelog.com/practicalai/97">MLOps and tracking experiments with Allegro AI</a></li><li><a href="https://changelog.com/practicalai/91">Explaining AI explainability (Darwin AI)</a></li><li><a href="https://changelog.com/practicalai/96">Practical AI Ethics</a></li><li><a href="https://changelog.com/practicalai/48">Model inspection and interpretation at Seldon</a></li><li><a href="https://changelog.com/practicalai/99">Attack of the C̶l̶o̶n̶e̶s̶ Text!</a></li><li><a href="https://changelog.com/practicalai/98">🤗 All things transformers with Hugging Face</a></li><li><a href="https://changelog.com/practicalai/85">Achieving provably beneficial, human-compatible AI</a></li><li><a href="https://changelog.com/practicalai/89">AI for Good: clean water access in Africa</a></li><li><a href="https://changelog.com/practicalai/86">Exploring the COVID-19 Open Research Dataset</a></li><li><a href="https://changelog.com/practicalai/15">Artificial intelligence at NVIDIA</a></li><li><a href="https://changelog.com/practicalai/36">Growing up to become a world-class AI expert</a></li><li><a href="https://changelog.com/practicalai/3">Helping African farmers with TensorFlow</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0244768528">“Interpretable Machine Learning” by Christoph Molnar</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/adamstac" img="https://img.transistorcdn.com/3Q019nNiF15uRElMV52O7Sp-TBp3MSHW8GA2H6fIMlk/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zZmRl/YzdiMjVlZmU4NmI0/ZDJkYmUyNDMyNjlh/ZWE0Zi5qcGc.jpg">Adam Stacoviak</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/jerodsanto" img="https://img.transistorcdn.com/4ynfahOBWUQNK-YP0MvuexJ-Idv-CKINobQjuuhReoc/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yMjIy/MWY0MmMzZTZlM2Y3/NzBjOTM3MDUxZGZh/YTBlYS5qcGVn.jpg">Jerod Santo</podcast:person>
    </item>
    <item>
      <title>Attack of the C̶l̶o̶n̶e̶s̶ Text!</title>
      <itunes:episode>99</itunes:episode>
      <podcast:episode>99</podcast:episode>
      <itunes:title>Attack of the C̶l̶o̶n̶e̶s̶ Text!</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1015</guid>
      <link>https://share.transistor.fm/s/a3d121af</link>
      <description>
        <![CDATA[<p>Come hang with the bad boys of natural language processing (NLP)! Jack Morris joins Daniel and Chris to talk about TextAttack, a Python framework for adversarial attacks, data augmentation, and model training in NLP. TextAttack will improve your understanding of your NLP models, so come prepared to rumble with your own adversarial attacks!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Jack Morris – <a href="http://jackxmorris.com">Website</a>, <a href="https://github.com/jxmorris12">GitHub</a>, <a href="https://x.com/jxmorris12">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/QData/TextAttack">TextAttack</a></li><li><a href="https://openai.com/blog/adversarial-example-research">Attacking Machine Learning with Adversarial Examples</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Come hang with the bad boys of natural language processing (NLP)! Jack Morris joins Daniel and Chris to talk about TextAttack, a Python framework for adversarial attacks, data augmentation, and model training in NLP. TextAttack will improve your understanding of your NLP models, so come prepared to rumble with your own adversarial attacks!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Jack Morris – <a href="http://jackxmorris.com">Website</a>, <a href="https://github.com/jxmorris12">GitHub</a>, <a href="https://x.com/jxmorris12">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/QData/TextAttack">TextAttack</a></li><li><a href="https://openai.com/blog/adversarial-example-research">Attacking Machine Learning with Adversarial Examples</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 03 Aug 2020 18:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/a3d121af/2045a8c9.mp3" length="46225541" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2881</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Come hang with the bad boys of natural language processing (NLP)! Jack Morris joins Daniel and Chris to talk about TextAttack, a Python framework for adversarial attacks, data augmentation, and model training in NLP. TextAttack will improve your understanding of your NLP models, so come prepared to rumble with your own adversarial attacks!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://changelog.com/++">Changelog++</a> – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. <a href="https://changelog.com/++">Let’s do this</a>! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Jack Morris – <a href="http://jackxmorris.com">Website</a>, <a href="https://github.com/jxmorris12">GitHub</a>, <a href="https://x.com/jxmorris12">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/QData/TextAttack">TextAttack</a></li><li><a href="https://openai.com/blog/adversarial-example-research">Attacking Machine Learning with Adversarial Examples</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/jxmorris12" img="https://img.transistorcdn.com/uF_NkGP1xQIn3NDbM8lMguvS0chjhKIfuV6T9PI6b5I/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xOWIz/OTZkNmZiMzExZDIy/NDA0ZWFmZDA3ZjUw/NmM0Yy5qcGc.jpg">Jack Morris</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>🤗 All things transformers with Hugging Face</title>
      <itunes:episode>98</itunes:episode>
      <podcast:episode>98</podcast:episode>
      <itunes:title>🤗 All things transformers with Hugging Face</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1013</guid>
      <link>https://share.transistor.fm/s/0b827357</link>
      <description>
        <![CDATA[<p>Sash Rush, of Cornell Tech and Hugging Face, catches us up on all the things happening with Hugging Face and transformers. Last time we had Clem from Hugging Face on the show (episode 35), their transformers library wasn’t even a thing yet. Oh how things have changed! This time Sasha tells us all about Hugging Face’s open source NLP work, gives us an intro to the key components of transformers, and shares his perspective on the future of AI research conferences.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Sasha Rush – <a href="http://rush-nlp.com">Website</a>, <a href="https://x.com/srush_nlp">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Giveaway details!! <a href="https://changelog.com/posts/giveaway-celebrating-zeno-rochas-new-book">Check this blog post</a> for all the details to win a free copy of Dracula PRO &amp;&amp; 14 Habits of Highly Productive Developers</p><ul><li><a href="https://huggingface.co/">Hugging Face</a></li><li><a href="https://github.com/huggingface/transformers">Transformers library</a></li><li><a href="https://github.com/huggingface/tokenizers">Tokenizers library</a></li><li><a href="https://github.com/huggingface/nlp">NLP (data and evaluation metrics) library</a></li><li><a href="https://changelog.com/practicalai/35">Previous Practical AI episode with Hugging Face</a></li><li><a href="https://techcrunch.com/2019/12/17/hugging-face-raises-15-million-to-build-the-definitive-natural-language-processing-library/">TechCrunch announcement about Hugging Face’s recent fundraising</a></li><li><a href="https://twitter.com/srush_nlp/status/981584073188667394">The annotated transformer</a></li><li><a href="https://twitter.com/julien_c/status/1278336685730869248">2000+ models in Hugging Face’s model hub</a></li><li><a href="https://arxiv.org/abs/1706.03762">Attention is all you need paper</a></li><li><a href="http://www.mini-conf.org/">Mini Conf tools</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Sash Rush, of Cornell Tech and Hugging Face, catches us up on all the things happening with Hugging Face and transformers. Last time we had Clem from Hugging Face on the show (episode 35), their transformers library wasn’t even a thing yet. Oh how things have changed! This time Sasha tells us all about Hugging Face’s open source NLP work, gives us an intro to the key components of transformers, and shares his perspective on the future of AI research conferences.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Sasha Rush – <a href="http://rush-nlp.com">Website</a>, <a href="https://x.com/srush_nlp">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Giveaway details!! <a href="https://changelog.com/posts/giveaway-celebrating-zeno-rochas-new-book">Check this blog post</a> for all the details to win a free copy of Dracula PRO &amp;&amp; 14 Habits of Highly Productive Developers</p><ul><li><a href="https://huggingface.co/">Hugging Face</a></li><li><a href="https://github.com/huggingface/transformers">Transformers library</a></li><li><a href="https://github.com/huggingface/tokenizers">Tokenizers library</a></li><li><a href="https://github.com/huggingface/nlp">NLP (data and evaluation metrics) library</a></li><li><a href="https://changelog.com/practicalai/35">Previous Practical AI episode with Hugging Face</a></li><li><a href="https://techcrunch.com/2019/12/17/hugging-face-raises-15-million-to-build-the-definitive-natural-language-processing-library/">TechCrunch announcement about Hugging Face’s recent fundraising</a></li><li><a href="https://twitter.com/srush_nlp/status/981584073188667394">The annotated transformer</a></li><li><a href="https://twitter.com/julien_c/status/1278336685730869248">2000+ models in Hugging Face’s model hub</a></li><li><a href="https://arxiv.org/abs/1706.03762">Attention is all you need paper</a></li><li><a href="http://www.mini-conf.org/">Mini Conf tools</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 27 Jul 2020 14:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/0b827357/3dd42132.mp3" length="44995831" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2804</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Sash Rush, of Cornell Tech and Hugging Face, catches us up on all the things happening with Hugging Face and transformers. Last time we had Clem from Hugging Face on the show (episode 35), their transformers library wasn’t even a thing yet. Oh how things have changed! This time Sasha tells us all about Hugging Face’s open source NLP work, gives us an intro to the key components of transformers, and shares his perspective on the future of AI research conferences.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Sasha Rush – <a href="http://rush-nlp.com">Website</a>, <a href="https://x.com/srush_nlp">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Giveaway details!! <a href="https://changelog.com/posts/giveaway-celebrating-zeno-rochas-new-book">Check this blog post</a> for all the details to win a free copy of Dracula PRO &amp;&amp; 14 Habits of Highly Productive Developers</p><ul><li><a href="https://huggingface.co/">Hugging Face</a></li><li><a href="https://github.com/huggingface/transformers">Transformers library</a></li><li><a href="https://github.com/huggingface/tokenizers">Tokenizers library</a></li><li><a href="https://github.com/huggingface/nlp">NLP (data and evaluation metrics) library</a></li><li><a href="https://changelog.com/practicalai/35">Previous Practical AI episode with Hugging Face</a></li><li><a href="https://techcrunch.com/2019/12/17/hugging-face-raises-15-million-to-build-the-definitive-natural-language-processing-library/">TechCrunch announcement about Hugging Face’s recent fundraising</a></li><li><a href="https://twitter.com/srush_nlp/status/981584073188667394">The annotated transformer</a></li><li><a href="https://twitter.com/julien_c/status/1278336685730869248">2000+ models in Hugging Face’s model hub</a></li><li><a href="https://arxiv.org/abs/1706.03762">Attention is all you need paper</a></li><li><a href="http://www.mini-conf.org/">Mini Conf tools</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/srush" img="https://img.transistorcdn.com/Nd4fBwHmtLoEfj4pkC5liNxmaF9ZIEz8fzaX71k1IeM/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kNWFm/ODI5OGVmNjhjYTQ2/MmU5M2E1NjRmNThl/MzUxMC5qcGc.jpg">Sasha Rush</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>MLOps and tracking experiments with Allegro AI</title>
      <itunes:episode>97</itunes:episode>
      <podcast:episode>97</podcast:episode>
      <itunes:title>MLOps and tracking experiments with Allegro AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1011</guid>
      <link>https://share.transistor.fm/s/df5b1946</link>
      <description>
        <![CDATA[<p>DevOps for deep learning is well… different. You need to track both data and code, and you need to run multiple different versions of your code for long periods of time on accelerated hardware. Allegro AI is helping data scientists manage these workflows with their open source MLOps solution called <a href="https://github.com/allegroai/trains">Trains</a>. Nir Bar-Lev, Allegro’s CEO, joins us to discuss their approach to MLOps and how to make deep learning development more robust.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Nir Bar-Lev – <a href="https://www.linkedin.com/in/nirbarlev">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://allegro.ai/">Allegro AI</a></li><li><a href="https://github.com/allegroai/trains">The “Trains” Platform</a></li><li><a href="https://demoapp.trains.allegro.ai/">Trains demo server</a></li><li><a href="http://youtube.com/c/AllegroAI">Trains video tutorials on YouTube</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>DevOps for deep learning is well… different. You need to track both data and code, and you need to run multiple different versions of your code for long periods of time on accelerated hardware. Allegro AI is helping data scientists manage these workflows with their open source MLOps solution called <a href="https://github.com/allegroai/trains">Trains</a>. Nir Bar-Lev, Allegro’s CEO, joins us to discuss their approach to MLOps and how to make deep learning development more robust.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Nir Bar-Lev – <a href="https://www.linkedin.com/in/nirbarlev">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://allegro.ai/">Allegro AI</a></li><li><a href="https://github.com/allegroai/trains">The “Trains” Platform</a></li><li><a href="https://demoapp.trains.allegro.ai/">Trains demo server</a></li><li><a href="http://youtube.com/c/AllegroAI">Trains video tutorials on YouTube</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 20 Jul 2020 11:40:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/df5b1946/8f4f2947.mp3" length="49225883" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3069</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>DevOps for deep learning is well… different. You need to track both data and code, and you need to run multiple different versions of your code for long periods of time on accelerated hardware. Allegro AI is helping data scientists manage these workflows with their open source MLOps solution called <a href="https://github.com/allegroai/trains">Trains</a>. Nir Bar-Lev, Allegro’s CEO, joins us to discuss their approach to MLOps and how to make deep learning development more robust.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Nir Bar-Lev – <a href="https://www.linkedin.com/in/nirbarlev">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://allegro.ai/">Allegro AI</a></li><li><a href="https://github.com/allegroai/trains">The “Trains” Platform</a></li><li><a href="https://demoapp.trains.allegro.ai/">Trains demo server</a></li><li><a href="http://youtube.com/c/AllegroAI">Trains video tutorials on YouTube</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/nirbarlev" img="https://img.transistorcdn.com/ecWlqz-RA3t5KIfp5kdvIADFRMlUQhpj0mqzwPIclrI/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84YTQ2/NDJmMDBhZjgyMWUx/YWJhZTExZjU4Njgy/MWE2Mi5qcGVn.jpg">Nir Bar-Lev</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Practical AI Ethics</title>
      <itunes:episode>96</itunes:episode>
      <podcast:episode>96</podcast:episode>
      <itunes:title>Practical AI Ethics</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1007</guid>
      <link>https://share.transistor.fm/s/ecf7df49</link>
      <description>
        <![CDATA[<p>The multidisciplinary field of AI Ethics is brand new, and is currently being pioneered by a relatively small number of leading AI organizations and academic institutions around the world. AI Ethics focuses on ensuring that unexpected outcomes from AI technology implementations occur as rarely as possible. Daniel and Chris discuss strategies for how to arrive at AI ethical principles suitable for your own organization, and what is involved in implementing those strategies in the real world. Tune in for a practical AI primer on AI Ethics!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://changelog.com/practicalai/85">Practical AI episode 85: Achieving provably beneficial, human-compatible AI</a></li><li><a href="https://ai.google/responsibilities/responsible-ai-practices">Google - Responsible AI Practices</a></li><li><a href="https://www.microsoft.com/en-us/ai/responsible-ai">Microsoft - Responsible AI</a></li><li><a href="https://www.ai.mil/docs/Ethical_Principles_for_Artificial_Intelligence.pdf">U.S. Department of Defense - Ethical Principles for Artificial Intelligence</a></li><li><a href="https://www.oecd.org/going-digital/ai/principles">OECD Principles on AI</a></li><li><a href="https://dl.acm.org/doi/pdf/10.1145/3306618.3314289">Cambridge - The Role and Limits of Principles in AI Ethics: Towards a Focus on Tensions</a></li><li><a href="https://www.nature.com/articles/s42256-019-0114-4">Nature - Principles alone cannot guarantee ethical AI</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0134610997">“Artificial Intelligence” by Stuart Russell and Peter Norvig</a></li><li><a href="https://www.amazon.com/dp/0525558632">“Human Compatible” by Stuart Russell</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>The multidisciplinary field of AI Ethics is brand new, and is currently being pioneered by a relatively small number of leading AI organizations and academic institutions around the world. AI Ethics focuses on ensuring that unexpected outcomes from AI technology implementations occur as rarely as possible. Daniel and Chris discuss strategies for how to arrive at AI ethical principles suitable for your own organization, and what is involved in implementing those strategies in the real world. Tune in for a practical AI primer on AI Ethics!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://changelog.com/practicalai/85">Practical AI episode 85: Achieving provably beneficial, human-compatible AI</a></li><li><a href="https://ai.google/responsibilities/responsible-ai-practices">Google - Responsible AI Practices</a></li><li><a href="https://www.microsoft.com/en-us/ai/responsible-ai">Microsoft - Responsible AI</a></li><li><a href="https://www.ai.mil/docs/Ethical_Principles_for_Artificial_Intelligence.pdf">U.S. Department of Defense - Ethical Principles for Artificial Intelligence</a></li><li><a href="https://www.oecd.org/going-digital/ai/principles">OECD Principles on AI</a></li><li><a href="https://dl.acm.org/doi/pdf/10.1145/3306618.3314289">Cambridge - The Role and Limits of Principles in AI Ethics: Towards a Focus on Tensions</a></li><li><a href="https://www.nature.com/articles/s42256-019-0114-4">Nature - Principles alone cannot guarantee ethical AI</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0134610997">“Artificial Intelligence” by Stuart Russell and Peter Norvig</a></li><li><a href="https://www.amazon.com/dp/0525558632">“Human Compatible” by Stuart Russell</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 14 Jul 2020 10:15:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/ecf7df49/ffecbbd5.mp3" length="50534792" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3151</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>The multidisciplinary field of AI Ethics is brand new, and is currently being pioneered by a relatively small number of leading AI organizations and academic institutions around the world. AI Ethics focuses on ensuring that unexpected outcomes from AI technology implementations occur as rarely as possible. Daniel and Chris discuss strategies for how to arrive at AI ethical principles suitable for your own organization, and what is involved in implementing those strategies in the real world. Tune in for a practical AI primer on AI Ethics!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://changelog.com/practicalai/85">Practical AI episode 85: Achieving provably beneficial, human-compatible AI</a></li><li><a href="https://ai.google/responsibilities/responsible-ai-practices">Google - Responsible AI Practices</a></li><li><a href="https://www.microsoft.com/en-us/ai/responsible-ai">Microsoft - Responsible AI</a></li><li><a href="https://www.ai.mil/docs/Ethical_Principles_for_Artificial_Intelligence.pdf">U.S. Department of Defense - Ethical Principles for Artificial Intelligence</a></li><li><a href="https://www.oecd.org/going-digital/ai/principles">OECD Principles on AI</a></li><li><a href="https://dl.acm.org/doi/pdf/10.1145/3306618.3314289">Cambridge - The Role and Limits of Principles in AI Ethics: Towards a Focus on Tensions</a></li><li><a href="https://www.nature.com/articles/s42256-019-0114-4">Nature - Principles alone cannot guarantee ethical AI</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0134610997">“Artificial Intelligence” by Stuart Russell and Peter Norvig</a></li><li><a href="https://www.amazon.com/dp/0525558632">“Human Compatible” by Stuart Russell</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>The ins and outs of open source for AI</title>
      <itunes:episode>95</itunes:episode>
      <podcast:episode>95</podcast:episode>
      <itunes:title>The ins and outs of open source for AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/1002</guid>
      <link>https://share.transistor.fm/s/ac57faa4</link>
      <description>
        <![CDATA[<p>Daniel and Chris get you Fully-Connected with open source software for artificial intelligence.<br> In addition to defining what open source is, they discuss where to find open source tools and data, and how you can contribute back to the open source AI community.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>General discussion of AI and open source code/data/model</li><li>How to experiment with open source tools/data</li><li>What are easy ways to start contributing</li><li>What are ways to contribute to open source AI other than contributing to key projects?</li></ul><p>Sources:</p><ul><li><a href="https://github.com">GitHub</a></li><li><a href="https://paperswithcode.com">Papers With Code</a></li><li><a href="https://www.semanticscholar.org">Semantic Scholar</a></li><li><a href="https://datasetsearch.research.google.com">Google Dataset Search</a></li><li><a href="https://www.data.gov">Data.gov</a></li></ul><p>Learning resources:</p><ul><li><a href="https://medium.com/@jenweber/your-first-open-source-contribution-a-step-by-step-technical-guide-d3aca55cc5a6">Guide to making your first open source contribution</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel and Chris get you Fully-Connected with open source software for artificial intelligence.<br> In addition to defining what open source is, they discuss where to find open source tools and data, and how you can contribute back to the open source AI community.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>General discussion of AI and open source code/data/model</li><li>How to experiment with open source tools/data</li><li>What are easy ways to start contributing</li><li>What are ways to contribute to open source AI other than contributing to key projects?</li></ul><p>Sources:</p><ul><li><a href="https://github.com">GitHub</a></li><li><a href="https://paperswithcode.com">Papers With Code</a></li><li><a href="https://www.semanticscholar.org">Semantic Scholar</a></li><li><a href="https://datasetsearch.research.google.com">Google Dataset Search</a></li><li><a href="https://www.data.gov">Data.gov</a></li></ul><p>Learning resources:</p><ul><li><a href="https://medium.com/@jenweber/your-first-open-source-contribution-a-step-by-step-technical-guide-d3aca55cc5a6">Guide to making your first open source contribution</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 07 Jul 2020 07:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/ac57faa4/46c9865d.mp3" length="45538336" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2838</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel and Chris get you Fully-Connected with open source software for artificial intelligence.<br> In addition to defining what open source is, they discuss where to find open source tools and data, and how you can contribute back to the open source AI community.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>General discussion of AI and open source code/data/model</li><li>How to experiment with open source tools/data</li><li>What are easy ways to start contributing</li><li>What are ways to contribute to open source AI other than contributing to key projects?</li></ul><p>Sources:</p><ul><li><a href="https://github.com">GitHub</a></li><li><a href="https://paperswithcode.com">Papers With Code</a></li><li><a href="https://www.semanticscholar.org">Semantic Scholar</a></li><li><a href="https://datasetsearch.research.google.com">Google Dataset Search</a></li><li><a href="https://www.data.gov">Data.gov</a></li></ul><p>Learning resources:</p><ul><li><a href="https://medium.com/@jenweber/your-first-open-source-contribution-a-step-by-step-technical-guide-d3aca55cc5a6">Guide to making your first open source contribution</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Operationalizing ML/AI with MemSQL</title>
      <itunes:episode>94</itunes:episode>
      <podcast:episode>94</podcast:episode>
      <itunes:title>Operationalizing ML/AI with MemSQL</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/998</guid>
      <link>https://share.transistor.fm/s/926151bd</link>
      <description>
        <![CDATA[<p>A lot of effort is put into the training of AI models, but, for those of us that actually want to run AI models in production, performance and scaling quickly become blockers. Nikita from MemSQL joins us to talk about how people are integrating ML/AI inference at scale into existing SQL-based workflows. He also touches on how model features and raw files can be managed and integrated with distributed databases.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Nikita Shamgunov – <a href="https://neon.tech/">Website</a>, <a href="https://x.com/nikitabase">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.memsql.com/">MemSQL</a></li><li><a href="https://www.memsql.com/solutions/predictive-ml-ai/">MemSQL’s ML/AI capabilities</a></li><li><a href="https://www.memsql.com/resources/memsql-achieving-successful-operation-of-ml-and-ai">MemSQL’s recent AI/ML e-book</a></li><li><a href="https://www.memsql.com/blog/case-study-true-digital-group-helps-to-flatten-the-curve-with-memsql/">Contact tracing case study with MemSQL and True Digital</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>A lot of effort is put into the training of AI models, but, for those of us that actually want to run AI models in production, performance and scaling quickly become blockers. Nikita from MemSQL joins us to talk about how people are integrating ML/AI inference at scale into existing SQL-based workflows. He also touches on how model features and raw files can be managed and integrated with distributed databases.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Nikita Shamgunov – <a href="https://neon.tech/">Website</a>, <a href="https://x.com/nikitabase">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.memsql.com/">MemSQL</a></li><li><a href="https://www.memsql.com/solutions/predictive-ml-ai/">MemSQL’s ML/AI capabilities</a></li><li><a href="https://www.memsql.com/resources/memsql-achieving-successful-operation-of-ml-and-ai">MemSQL’s recent AI/ML e-book</a></li><li><a href="https://www.memsql.com/blog/case-study-true-digital-group-helps-to-flatten-the-curve-with-memsql/">Contact tracing case study with MemSQL and True Digital</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 29 Jun 2020 11:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/926151bd/61d22f51.mp3" length="52035603" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3245</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>A lot of effort is put into the training of AI models, but, for those of us that actually want to run AI models in production, performance and scaling quickly become blockers. Nikita from MemSQL joins us to talk about how people are integrating ML/AI inference at scale into existing SQL-based workflows. He also touches on how model features and raw files can be managed and integrated with distributed databases.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Nikita Shamgunov – <a href="https://neon.tech/">Website</a>, <a href="https://x.com/nikitabase">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.memsql.com/">MemSQL</a></li><li><a href="https://www.memsql.com/solutions/predictive-ml-ai/">MemSQL’s ML/AI capabilities</a></li><li><a href="https://www.memsql.com/resources/memsql-achieving-successful-operation-of-ml-and-ai">MemSQL’s recent AI/ML e-book</a></li><li><a href="https://www.memsql.com/blog/case-study-true-digital-group-helps-to-flatten-the-curve-with-memsql/">Contact tracing case study with MemSQL and True Digital</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/nikitashamgunov" img="https://img.transistorcdn.com/myiQlvPvNMDFvCfkBzj8WtSQXw94zQmDgeqEwcGsYAM/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hMTA1/MDViNzM1MThiMGNi/M2RiZTIwYTcyOTFi/NjM5ZS5wbmc.jpg">Nikita Shamgunov</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Roles to play in the AI dev workflow</title>
      <itunes:episode>93</itunes:episode>
      <podcast:episode>93</podcast:episode>
      <itunes:title>Roles to play in the AI dev workflow</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/990</guid>
      <link>https://share.transistor.fm/s/7cf60484</link>
      <description>
        <![CDATA[<p>This full connected has it all: news, updates on AI/ML tooling, discussions about AI workflow, and learning resources. Chris and Daniel breakdown the various roles to be played in AI development including scoping out a solution, finding AI value, experimentation, and more technical engineering tasks. They also point out some good resources for exploring bias in your data/model and monitoring for fairness.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Streamlit:</p><ul><li><a href="https://medium.com/streamlit/announcing-streamlits-21m-series-a-ae05daa6c885">Streamlit funding announcement</a></li><li><a href="https://changelog.com/practicalai/66">Previous Practical AI episode about Streamlit</a></li></ul><p><a href="https://blogs.windows.com/windowsdeveloper/2020/06/17/gpu-accelerated-ml-training-inside-the-windows-subsystem-for-linux/">GPU acceleration in Windows Subsystem for Linux</a></p><p>Fairness and bias:</p><ul><li><a href="https://developers.google.com/machine-learning/crash-course/fairness/types-of-bias">Google’s explanation of bias in their ML crash course</a></li><li><a href="https://aif360.mybluemix.net/">IBM fairness 360</a></li><li><a href="https://ai.google/responsibilities/responsible-ai-practices/">Google’s responsible AI practices</a></li><li><a href="https://deon.drivendata.org/">Driven Data’s Deon project</a></li><li><a href="https://changelog.com/practicalai/17">Previous Practical AI episode about bias in AI and hiring</a></li><li><a href="https://www.ai.mil/docs/Ethical_Principles_for_Artificial_Intelligence.pdf">US Department of Defense Ethical principles for AI</a></li></ul><p><a href="https://medium.com/@chrisbenson/covid-19-stole-a-beautiful-wife-mother-sister-and-grandmother-in-the-cruelest-way-imaginable-5eca2dcb5bd">Chris’s personal, COVID-related blog post</a></p><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>This full connected has it all: news, updates on AI/ML tooling, discussions about AI workflow, and learning resources. Chris and Daniel breakdown the various roles to be played in AI development including scoping out a solution, finding AI value, experimentation, and more technical engineering tasks. They also point out some good resources for exploring bias in your data/model and monitoring for fairness.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Streamlit:</p><ul><li><a href="https://medium.com/streamlit/announcing-streamlits-21m-series-a-ae05daa6c885">Streamlit funding announcement</a></li><li><a href="https://changelog.com/practicalai/66">Previous Practical AI episode about Streamlit</a></li></ul><p><a href="https://blogs.windows.com/windowsdeveloper/2020/06/17/gpu-accelerated-ml-training-inside-the-windows-subsystem-for-linux/">GPU acceleration in Windows Subsystem for Linux</a></p><p>Fairness and bias:</p><ul><li><a href="https://developers.google.com/machine-learning/crash-course/fairness/types-of-bias">Google’s explanation of bias in their ML crash course</a></li><li><a href="https://aif360.mybluemix.net/">IBM fairness 360</a></li><li><a href="https://ai.google/responsibilities/responsible-ai-practices/">Google’s responsible AI practices</a></li><li><a href="https://deon.drivendata.org/">Driven Data’s Deon project</a></li><li><a href="https://changelog.com/practicalai/17">Previous Practical AI episode about bias in AI and hiring</a></li><li><a href="https://www.ai.mil/docs/Ethical_Principles_for_Artificial_Intelligence.pdf">US Department of Defense Ethical principles for AI</a></li></ul><p><a href="https://medium.com/@chrisbenson/covid-19-stole-a-beautiful-wife-mother-sister-and-grandmother-in-the-cruelest-way-imaginable-5eca2dcb5bd">Chris’s personal, COVID-related blog post</a></p><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 22 Jun 2020 15:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/7cf60484/c0393224.mp3" length="48539479" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3026</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>This full connected has it all: news, updates on AI/ML tooling, discussions about AI workflow, and learning resources. Chris and Daniel breakdown the various roles to be played in AI development including scoping out a solution, finding AI value, experimentation, and more technical engineering tasks. They also point out some good resources for exploring bias in your data/model and monitoring for fairness.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Streamlit:</p><ul><li><a href="https://medium.com/streamlit/announcing-streamlits-21m-series-a-ae05daa6c885">Streamlit funding announcement</a></li><li><a href="https://changelog.com/practicalai/66">Previous Practical AI episode about Streamlit</a></li></ul><p><a href="https://blogs.windows.com/windowsdeveloper/2020/06/17/gpu-accelerated-ml-training-inside-the-windows-subsystem-for-linux/">GPU acceleration in Windows Subsystem for Linux</a></p><p>Fairness and bias:</p><ul><li><a href="https://developers.google.com/machine-learning/crash-course/fairness/types-of-bias">Google’s explanation of bias in their ML crash course</a></li><li><a href="https://aif360.mybluemix.net/">IBM fairness 360</a></li><li><a href="https://ai.google/responsibilities/responsible-ai-practices/">Google’s responsible AI practices</a></li><li><a href="https://deon.drivendata.org/">Driven Data’s Deon project</a></li><li><a href="https://changelog.com/practicalai/17">Previous Practical AI episode about bias in AI and hiring</a></li><li><a href="https://www.ai.mil/docs/Ethical_Principles_for_Artificial_Intelligence.pdf">US Department of Defense Ethical principles for AI</a></li></ul><p><a href="https://medium.com/@chrisbenson/covid-19-stole-a-beautiful-wife-mother-sister-and-grandmother-in-the-cruelest-way-imaginable-5eca2dcb5bd">Chris’s personal, COVID-related blog post</a></p><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>The long road to AGI</title>
      <itunes:episode>92</itunes:episode>
      <podcast:episode>92</podcast:episode>
      <itunes:title>The long road to AGI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/975</guid>
      <link>https://share.transistor.fm/s/3fe7b88e</link>
      <description>
        <![CDATA[<p>Daniel and Chris go beyond the current state of the art in deep learning to explore the next evolutions in artificial intelligence. From Yoshua Bengio’s NeurIPS keynote, which urges us forward towards System 2 deep learning, to DARPA’s vision of a 3rd Wave of AI, Chris and Daniel investigate the incremental steps between today’s AI and possible future manifestations of artificial general intelligence (AGI).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.youtube.com/watch?v=FtUbMG3rlFs">Yoshua Bengio | From System 1 Deep Learning to System 2 Deep Learning | NeurIPS 2019 (video)</a></li><li><a href="https://drive.google.com/file/d/1zbe_N8TmAEvPiKXmn6yZlRkFehsAUS8Z/view">Yoshua Bengio | From System 1 Deep Learning to System 2 Deep Learning | NeurIPS 2019 (slides)</a></li><li><a href="https://en.wikipedia.org/wiki/Yoshua_Bengio">Yoshua Bengio | Wikipedia</a></li><li><a href="https://www.darpa.mil/attachments/AIFull.pdf">A DARPA Perspective on Artificial Intelligence</a></li><li><a href="https://en.wikipedia.org/wiki/DARPA">DARPA | Wikipedia</a></li><li><a href="https://www.esd.whs.mil/Portals/54/Documents/DD/issuances/dodd/300009p.pdf">U.S. Department of Defense Directive 3000.09: Autonomy in Weapon Systems</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0374533555">“Thinking, Fast and Slow” by Daniel Kahneman</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel and Chris go beyond the current state of the art in deep learning to explore the next evolutions in artificial intelligence. From Yoshua Bengio’s NeurIPS keynote, which urges us forward towards System 2 deep learning, to DARPA’s vision of a 3rd Wave of AI, Chris and Daniel investigate the incremental steps between today’s AI and possible future manifestations of artificial general intelligence (AGI).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.youtube.com/watch?v=FtUbMG3rlFs">Yoshua Bengio | From System 1 Deep Learning to System 2 Deep Learning | NeurIPS 2019 (video)</a></li><li><a href="https://drive.google.com/file/d/1zbe_N8TmAEvPiKXmn6yZlRkFehsAUS8Z/view">Yoshua Bengio | From System 1 Deep Learning to System 2 Deep Learning | NeurIPS 2019 (slides)</a></li><li><a href="https://en.wikipedia.org/wiki/Yoshua_Bengio">Yoshua Bengio | Wikipedia</a></li><li><a href="https://www.darpa.mil/attachments/AIFull.pdf">A DARPA Perspective on Artificial Intelligence</a></li><li><a href="https://en.wikipedia.org/wiki/DARPA">DARPA | Wikipedia</a></li><li><a href="https://www.esd.whs.mil/Portals/54/Documents/DD/issuances/dodd/300009p.pdf">U.S. Department of Defense Directive 3000.09: Autonomy in Weapon Systems</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0374533555">“Thinking, Fast and Slow” by Daniel Kahneman</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 15 Jun 2020 14:15:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/3fe7b88e/224a7419.mp3" length="48379736" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3016</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel and Chris go beyond the current state of the art in deep learning to explore the next evolutions in artificial intelligence. From Yoshua Bengio’s NeurIPS keynote, which urges us forward towards System 2 deep learning, to DARPA’s vision of a 3rd Wave of AI, Chris and Daniel investigate the incremental steps between today’s AI and possible future manifestations of artificial general intelligence (AGI).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.youtube.com/watch?v=FtUbMG3rlFs">Yoshua Bengio | From System 1 Deep Learning to System 2 Deep Learning | NeurIPS 2019 (video)</a></li><li><a href="https://drive.google.com/file/d/1zbe_N8TmAEvPiKXmn6yZlRkFehsAUS8Z/view">Yoshua Bengio | From System 1 Deep Learning to System 2 Deep Learning | NeurIPS 2019 (slides)</a></li><li><a href="https://en.wikipedia.org/wiki/Yoshua_Bengio">Yoshua Bengio | Wikipedia</a></li><li><a href="https://www.darpa.mil/attachments/AIFull.pdf">A DARPA Perspective on Artificial Intelligence</a></li><li><a href="https://en.wikipedia.org/wiki/DARPA">DARPA | Wikipedia</a></li><li><a href="https://www.esd.whs.mil/Portals/54/Documents/DD/issuances/dodd/300009p.pdf">U.S. Department of Defense Directive 3000.09: Autonomy in Weapon Systems</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0374533555">“Thinking, Fast and Slow” by Daniel Kahneman</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Explaining AI explainability</title>
      <itunes:episode>91</itunes:episode>
      <podcast:episode>91</podcast:episode>
      <itunes:title>Explaining AI explainability</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/983</guid>
      <link>https://share.transistor.fm/s/6bb43cbc</link>
      <description>
        <![CDATA[<p>The CEO of Darwin AI, Sheldon Fernandez, joins Daniel to discuss generative synthesis and its connection to explainability. You might have heard of AutoML and meta-learning. Well, generative synthesis tackles similar problems from a different angle and results in compact, explainable networks. This episode is fascinating and very timely.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Sheldon Fernandez – <a href="https://www.linkedin.com/in/sheldonfernandez">LinkedIn</a>, <a href="https://x.com/sheldonfff">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.darwinai.com">Darwin AI</a></li><li><a href="https://arxiv.org/pdf/1809.05989.pdf">FermiNets</a> - a paper that introduces the idea of generative synthesis.</li><li><a href="https://www.technologyreview.com/2020/03/24/950356/coronavirus-neural-network-can-help-spot-covid-19-in-chest-x-ray-pneumonia/">COVID-Net</a> - Darwin AI’s COVID-related computer vision model.</li><li><a href="https://soundcloud.com/nlp-highlights/114-behavioral-testing-of-nlp-models-with-marco-tulio-ribeiro">NLP highlights podcast episode on Behavioral Testing</a> - behavioral tests</li><li><a href="https://medium.com/@sheldon.fernandez/dark-ai-and-the-promise-of-explainability-part-i-a6b35009a88c">Sheldon’s explainability primer on medium</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>The CEO of Darwin AI, Sheldon Fernandez, joins Daniel to discuss generative synthesis and its connection to explainability. You might have heard of AutoML and meta-learning. Well, generative synthesis tackles similar problems from a different angle and results in compact, explainable networks. This episode is fascinating and very timely.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Sheldon Fernandez – <a href="https://www.linkedin.com/in/sheldonfernandez">LinkedIn</a>, <a href="https://x.com/sheldonfff">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.darwinai.com">Darwin AI</a></li><li><a href="https://arxiv.org/pdf/1809.05989.pdf">FermiNets</a> - a paper that introduces the idea of generative synthesis.</li><li><a href="https://www.technologyreview.com/2020/03/24/950356/coronavirus-neural-network-can-help-spot-covid-19-in-chest-x-ray-pneumonia/">COVID-Net</a> - Darwin AI’s COVID-related computer vision model.</li><li><a href="https://soundcloud.com/nlp-highlights/114-behavioral-testing-of-nlp-models-with-marco-tulio-ribeiro">NLP highlights podcast episode on Behavioral Testing</a> - behavioral tests</li><li><a href="https://medium.com/@sheldon.fernandez/dark-ai-and-the-promise-of-explainability-part-i-a6b35009a88c">Sheldon’s explainability primer on medium</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 08 Jun 2020 13:35:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/6bb43cbc/c9a0e188.mp3" length="44947842" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2801</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>The CEO of Darwin AI, Sheldon Fernandez, joins Daniel to discuss generative synthesis and its connection to explainability. You might have heard of AutoML and meta-learning. Well, generative synthesis tackles similar problems from a different angle and results in compact, explainable networks. This episode is fascinating and very timely.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Sheldon Fernandez – <a href="https://www.linkedin.com/in/sheldonfernandez">LinkedIn</a>, <a href="https://x.com/sheldonfff">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.darwinai.com">Darwin AI</a></li><li><a href="https://arxiv.org/pdf/1809.05989.pdf">FermiNets</a> - a paper that introduces the idea of generative synthesis.</li><li><a href="https://www.technologyreview.com/2020/03/24/950356/coronavirus-neural-network-can-help-spot-covid-19-in-chest-x-ray-pneumonia/">COVID-Net</a> - Darwin AI’s COVID-related computer vision model.</li><li><a href="https://soundcloud.com/nlp-highlights/114-behavioral-testing-of-nlp-models-with-marco-tulio-ribeiro">NLP highlights podcast episode on Behavioral Testing</a> - behavioral tests</li><li><a href="https://medium.com/@sheldon.fernandez/dark-ai-and-the-promise-of-explainability-part-i-a6b35009a88c">Sheldon’s explainability primer on medium</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/sheldonfernandez" img="https://img.transistorcdn.com/VRLITRCcWDwENs88LIg7q1gndMwaOyZDaBQv6MaHm_k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80ODZj/YTRlZGUwMGMxYWY0/NjBmNDRjNGViNmU1/NmRjYS5qcGc.jpg">Sheldon Fernandez</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Exploring NVIDIA's Ampere &amp; the A100 GPU</title>
      <itunes:episode>90</itunes:episode>
      <podcast:episode>90</podcast:episode>
      <itunes:title>Exploring NVIDIA's Ampere &amp; the A100 GPU</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/969</guid>
      <link>https://share.transistor.fm/s/cd022cf4</link>
      <description>
        <![CDATA[<p>On the heels of NVIDIA’s latest announcements, Daniel and Chris explore how the new NVIDIA Ampere architecture evolves the high-performance computing (HPC) landscape for artificial intelligence. After investigating the new specifications of the NVIDIA A100 Tensor Core GPU, Chris and Daniel turn their attention to the data center with the NVIDIA DGX A100, and then finish their journey at “the edge” with the NVIDIA EGX A100 and the NVIDIA Jetson Xavier NX.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://devblogs.nvidia.com/nvidia-ampere-architecture-in-depth">NVIDIA Ampere Architecture In-Depth</a></li><li><a href="https://www.nvidia.com/en-us/data-center/dgx-a100">NVIDIA DGX A100</a></li><li><a href="https://www.nvidia.com/en-us/data-center/products/egx-a100">NVIDIA EGX A100</a></li><li><a href="https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-xavier-nx">NVIDIA Jetson Xavier NX</a></li><li><a href="https://changelog.com/practicalai/56">Practical AI – Episode #56 – Worlds are colliding - AI and HPC</a></li><li><a href="https://changelog.com/practicalai/15">Practical AI – Episode #15 – Artificial intelligence at NVIDIA</a></li></ul><p><strong>Learning Resources</strong></p><ul><li><a href="https://www.nvidia.com/en-us/deep-learning-ai/education">NVIDIA Deep Learning Institute</a></li><li><a href="https://www.udemy.com/course/docker-and-kubernetes-the-complete-guide">Docker and Kubernetes: The Complete Guide</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>On the heels of NVIDIA’s latest announcements, Daniel and Chris explore how the new NVIDIA Ampere architecture evolves the high-performance computing (HPC) landscape for artificial intelligence. After investigating the new specifications of the NVIDIA A100 Tensor Core GPU, Chris and Daniel turn their attention to the data center with the NVIDIA DGX A100, and then finish their journey at “the edge” with the NVIDIA EGX A100 and the NVIDIA Jetson Xavier NX.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://devblogs.nvidia.com/nvidia-ampere-architecture-in-depth">NVIDIA Ampere Architecture In-Depth</a></li><li><a href="https://www.nvidia.com/en-us/data-center/dgx-a100">NVIDIA DGX A100</a></li><li><a href="https://www.nvidia.com/en-us/data-center/products/egx-a100">NVIDIA EGX A100</a></li><li><a href="https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-xavier-nx">NVIDIA Jetson Xavier NX</a></li><li><a href="https://changelog.com/practicalai/56">Practical AI – Episode #56 – Worlds are colliding - AI and HPC</a></li><li><a href="https://changelog.com/practicalai/15">Practical AI – Episode #15 – Artificial intelligence at NVIDIA</a></li></ul><p><strong>Learning Resources</strong></p><ul><li><a href="https://www.nvidia.com/en-us/deep-learning-ai/education">NVIDIA Deep Learning Institute</a></li><li><a href="https://www.udemy.com/course/docker-and-kubernetes-the-complete-guide">Docker and Kubernetes: The Complete Guide</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 26 May 2020 13:20:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/cd022cf4/68c70fcf.mp3" length="51317124" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3200</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>On the heels of NVIDIA’s latest announcements, Daniel and Chris explore how the new NVIDIA Ampere architecture evolves the high-performance computing (HPC) landscape for artificial intelligence. After investigating the new specifications of the NVIDIA A100 Tensor Core GPU, Chris and Daniel turn their attention to the data center with the NVIDIA DGX A100, and then finish their journey at “the edge” with the NVIDIA EGX A100 and the NVIDIA Jetson Xavier NX.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://devblogs.nvidia.com/nvidia-ampere-architecture-in-depth">NVIDIA Ampere Architecture In-Depth</a></li><li><a href="https://www.nvidia.com/en-us/data-center/dgx-a100">NVIDIA DGX A100</a></li><li><a href="https://www.nvidia.com/en-us/data-center/products/egx-a100">NVIDIA EGX A100</a></li><li><a href="https://www.nvidia.com/en-us/autonomous-machines/embedded-systems/jetson-xavier-nx">NVIDIA Jetson Xavier NX</a></li><li><a href="https://changelog.com/practicalai/56">Practical AI – Episode #56 – Worlds are colliding - AI and HPC</a></li><li><a href="https://changelog.com/practicalai/15">Practical AI – Episode #15 – Artificial intelligence at NVIDIA</a></li></ul><p><strong>Learning Resources</strong></p><ul><li><a href="https://www.nvidia.com/en-us/deep-learning-ai/education">NVIDIA Deep Learning Institute</a></li><li><a href="https://www.udemy.com/course/docker-and-kubernetes-the-complete-guide">Docker and Kubernetes: The Complete Guide</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>AI for Good: clean water access in Africa</title>
      <itunes:episode>89</itunes:episode>
      <podcast:episode>89</podcast:episode>
      <itunes:title>AI for Good: clean water access in Africa</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/961</guid>
      <link>https://share.transistor.fm/s/803b23b4</link>
      <description>
        <![CDATA[<p>Chandler McCann tells Daniel and Chris about how DataRobot engaged in a project to develop sustainable water solutions with the Global Water Challenge (GWC). They analyzed over 500,000 data points to predict future water point breaks. This enabled African governments to make data-driven decisions related to budgeting, preventative maintenance, and policy in order to promote and protect people’s access to safe water for drinking and washing. From this effort sprang DataRobot’s larger <a href="https://www.datarobot.com/ai-for-good">AI for Good</a> initiative.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack. Get 10% off using the code PRACTICALAI10. To learn more and purchase tickets go to <a href="https://datadan.io/">datadan.io</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chandler McCann – <a href="https://www.linkedin.com/in/chandlermccann">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.datarobot.com/blog/ai-for-good-with-datarobot-saving-the-world-one-use-case-at-a-time">Worldwide Water Access: Tapping into a Well of Data</a></li><li><a href="https://www.datarobot.com/blog/ai-for-good-with-datarobot-saving-the-world-one-use-case-at-a-time">AI for Good with DataRobot: Saving the World One Use Case at a Time</a></li><li><a href="https://www.datarobot.com/ai-for-good">AI for Good: Powered by DataRobot</a></li><li><a href="https://www.datarobot.com">DataRobot</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Chandler McCann tells Daniel and Chris about how DataRobot engaged in a project to develop sustainable water solutions with the Global Water Challenge (GWC). They analyzed over 500,000 data points to predict future water point breaks. This enabled African governments to make data-driven decisions related to budgeting, preventative maintenance, and policy in order to promote and protect people’s access to safe water for drinking and washing. From this effort sprang DataRobot’s larger <a href="https://www.datarobot.com/ai-for-good">AI for Good</a> initiative.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack. Get 10% off using the code PRACTICALAI10. To learn more and purchase tickets go to <a href="https://datadan.io/">datadan.io</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chandler McCann – <a href="https://www.linkedin.com/in/chandlermccann">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.datarobot.com/blog/ai-for-good-with-datarobot-saving-the-world-one-use-case-at-a-time">Worldwide Water Access: Tapping into a Well of Data</a></li><li><a href="https://www.datarobot.com/blog/ai-for-good-with-datarobot-saving-the-world-one-use-case-at-a-time">AI for Good with DataRobot: Saving the World One Use Case at a Time</a></li><li><a href="https://www.datarobot.com/ai-for-good">AI for Good: Powered by DataRobot</a></li><li><a href="https://www.datarobot.com">DataRobot</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 11 May 2020 13:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/803b23b4/9cc2ccbb.mp3" length="40957178" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2551</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Chandler McCann tells Daniel and Chris about how DataRobot engaged in a project to develop sustainable water solutions with the Global Water Challenge (GWC). They analyzed over 500,000 data points to predict future water point breaks. This enabled African governments to make data-driven decisions related to budgeting, preventative maintenance, and policy in order to promote and protect people’s access to safe water for drinking and washing. From this effort sprang DataRobot’s larger <a href="https://www.datarobot.com/ai-for-good">AI for Good</a> initiative.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack. Get 10% off using the code PRACTICALAI10. To learn more and purchase tickets go to <a href="https://datadan.io/">datadan.io</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chandler McCann – <a href="https://www.linkedin.com/in/chandlermccann">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.datarobot.com/blog/ai-for-good-with-datarobot-saving-the-world-one-use-case-at-a-time">Worldwide Water Access: Tapping into a Well of Data</a></li><li><a href="https://www.datarobot.com/blog/ai-for-good-with-datarobot-saving-the-world-one-use-case-at-a-time">AI for Good with DataRobot: Saving the World One Use Case at a Time</a></li><li><a href="https://www.datarobot.com/ai-for-good">AI for Good: Powered by DataRobot</a></li><li><a href="https://www.datarobot.com">DataRobot</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/chandlermccann" img="https://img.transistorcdn.com/aI4OCKpcgOucNMPnhgvYE9Ep0mdHnchGPRewoC25P4o/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kOGE2/OTdiODQyN2NkM2Y0/ZGI3MzRlZjJjMWEw/NjRkOC5wbmc.jpg">Chandler McCann</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Ask us anything (about AI)</title>
      <itunes:episode>88</itunes:episode>
      <podcast:episode>88</podcast:episode>
      <itunes:title>Ask us anything (about AI)</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/953</guid>
      <link>https://share.transistor.fm/s/6aa47934</link>
      <description>
        <![CDATA[<p>Daniel and Chris get you Fully-Connected with AI questions from listeners and online forums:</p><ul><li>What do you think is the next big thing?</li><li>What are CNNs?</li><li>How does one start developing an AI-enabled business solution?</li><li>What tools do you use every day?</li><li>What will AI replace?</li><li>And more…</li></ul><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack. Get 10% off using the code PRACTICALAI10. To learn more and purchase tickets go to <a href="https://datadan.io/">datadan.io</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1492041130">“Data Science from Scratch” by Joel Grus</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel and Chris get you Fully-Connected with AI questions from listeners and online forums:</p><ul><li>What do you think is the next big thing?</li><li>What are CNNs?</li><li>How does one start developing an AI-enabled business solution?</li><li>What tools do you use every day?</li><li>What will AI replace?</li><li>And more…</li></ul><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack. Get 10% off using the code PRACTICALAI10. To learn more and purchase tickets go to <a href="https://datadan.io/">datadan.io</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1492041130">“Data Science from Scratch” by Joel Grus</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 04 May 2020 11:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/6aa47934/429b5098.mp3" length="48715016" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3037</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel and Chris get you Fully-Connected with AI questions from listeners and online forums:</p><ul><li>What do you think is the next big thing?</li><li>What are CNNs?</li><li>How does one start developing an AI-enabled business solution?</li><li>What tools do you use every day?</li><li>What will AI replace?</li><li>And more…</li></ul><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack. Get 10% off using the code PRACTICALAI10. To learn more and purchase tickets go to <a href="https://datadan.io/">datadan.io</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1492041130">“Data Science from Scratch” by Joel Grus</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Reinforcement learning for chip design</title>
      <itunes:episode>87</itunes:episode>
      <podcast:episode>87</podcast:episode>
      <itunes:title>Reinforcement learning for chip design</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/941</guid>
      <link>https://share.transistor.fm/s/55498544</link>
      <description>
        <![CDATA[<p>Daniel and Chris have a fascinating discussion with Anna Goldie and Azalia Mirhoseini from Google Brain about the use of reinforcement learning for chip floor planning - or placement - in which many new designs are generated, and then evaluated, to find an optimal component layout. Anna and Azalia also describe the use of graph convolutional neural networks in their approach.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack. Get 10% off using the code PRACTICALAI10. To learn more and purchase tickets go to <a href="https://datadan.io/">datadan.io</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Anna Goldie – <a href="https://github.com/annagoldie">GitHub</a>, <a href="https://www.linkedin.com/in/adgoldie">LinkedIn</a>, <a href="https://x.com/annadgoldie">X</a></li><li>Azalia Mirhoseini – <a href="https://www.linkedin.com/in/azalia-mirhoseini-a5308522">LinkedIn</a>, <a href="https://x.com/azaliamirh">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://arxiv.org/ftp/arxiv/papers/2003/2003.08445.pdf">Their research paper</a></li><li><a href="https://research.google/teams/brain">Google Brain</a></li><li><a href="https://www.technologyreview.com/2020/03/27/950258/google-ai-chip-design-reinforcement-learning">Google is using AI to design chips that will accelerate AI | MIT Technology Review</a></li><li><a href="https://changelog.com/practicalai/47">Practical AI episode #47: GANs, RL, and transfer learning oh my!</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel and Chris have a fascinating discussion with Anna Goldie and Azalia Mirhoseini from Google Brain about the use of reinforcement learning for chip floor planning - or placement - in which many new designs are generated, and then evaluated, to find an optimal component layout. Anna and Azalia also describe the use of graph convolutional neural networks in their approach.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack. Get 10% off using the code PRACTICALAI10. To learn more and purchase tickets go to <a href="https://datadan.io/">datadan.io</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Anna Goldie – <a href="https://github.com/annagoldie">GitHub</a>, <a href="https://www.linkedin.com/in/adgoldie">LinkedIn</a>, <a href="https://x.com/annadgoldie">X</a></li><li>Azalia Mirhoseini – <a href="https://www.linkedin.com/in/azalia-mirhoseini-a5308522">LinkedIn</a>, <a href="https://x.com/azaliamirh">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://arxiv.org/ftp/arxiv/papers/2003/2003.08445.pdf">Their research paper</a></li><li><a href="https://research.google/teams/brain">Google Brain</a></li><li><a href="https://www.technologyreview.com/2020/03/27/950258/google-ai-chip-design-reinforcement-learning">Google is using AI to design chips that will accelerate AI | MIT Technology Review</a></li><li><a href="https://changelog.com/practicalai/47">Practical AI episode #47: GANs, RL, and transfer learning oh my!</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 27 Apr 2020 15:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/55498544/7b53a956.mp3" length="42936671" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2675</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel and Chris have a fascinating discussion with Anna Goldie and Azalia Mirhoseini from Google Brain about the use of reinforcement learning for chip floor planning - or placement - in which many new designs are generated, and then evaluated, to find an optimal component layout. Anna and Azalia also describe the use of graph convolutional neural networks in their approach.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack. Get 10% off using the code PRACTICALAI10. To learn more and purchase tickets go to <a href="https://datadan.io/">datadan.io</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Anna Goldie – <a href="https://github.com/annagoldie">GitHub</a>, <a href="https://www.linkedin.com/in/adgoldie">LinkedIn</a>, <a href="https://x.com/annadgoldie">X</a></li><li>Azalia Mirhoseini – <a href="https://www.linkedin.com/in/azalia-mirhoseini-a5308522">LinkedIn</a>, <a href="https://x.com/azaliamirh">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://arxiv.org/ftp/arxiv/papers/2003/2003.08445.pdf">Their research paper</a></li><li><a href="https://research.google/teams/brain">Google Brain</a></li><li><a href="https://www.technologyreview.com/2020/03/27/950258/google-ai-chip-design-reinforcement-learning">Google is using AI to design chips that will accelerate AI | MIT Technology Review</a></li><li><a href="https://changelog.com/practicalai/47">Practical AI episode #47: GANs, RL, and transfer learning oh my!</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/annagoldie" img="https://img.transistorcdn.com/iB7RoMPZc35BqfQ-3vjabczEE7TJnfgLhci9lImt4Js/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kNmJm/NDczNWE0NTkzMzhl/MTkyYTVhMGM0YTgx/NjNmNC5qcGc.jpg">Anna Goldie</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/azaliamirh" img="https://img.transistorcdn.com/LfwkmDfO2s-YTyQ-y_Jk50u3HuQRwb5rvHX-Ugi0ioQ/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81Yjg3/NjE0MjI0YWIwOWJi/NDM2NmQ2MTA0MmYz/Y2M2Zi5wbmc.jpg">Azalia Mirhoseini</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Exploring the COVID-19 Open Research Dataset</title>
      <itunes:episode>86</itunes:episode>
      <podcast:episode>86</podcast:episode>
      <itunes:title>Exploring the COVID-19 Open Research Dataset</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/940</guid>
      <link>https://share.transistor.fm/s/15bb67dd</link>
      <description>
        <![CDATA[<p>In the midst of the COVID-19 pandemic, Daniel and Chris have a timely conversation with Lucy Lu Wang of the Allen Institute for Artificial Intelligence about COVID-19 Open Research Dataset (CORD-19). She relates how CORD-19 was created and organized, and how researchers around the world are currently using the data to answer important COVID-19 questions that will help the world through this ongoing crisis.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack. Get 10% off using the code PRACTICALAI10. To learn more and purchase tickets go to <a href="https://datadan.io/">datadan.io</a>. </li></ul><p>Featuring:</p><ul><li>Lucy Lu Wang – <a href="https://llwang.net/">Website</a>, <a href="https://github.com/lucylw">GitHub</a>, <a href="https://www.linkedin.com/in/lucylw">LinkedIn</a>, <a href="https://x.com/lucyluwang">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://scholar.google.com/citations?user=REBtJOYAAAAJ">Lucy Lu Wang - Google Scholar</a></li><li><a href="https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge">Kaggle: COVID-19 Open Research Dataset Challenge (CORD-19)</a></li><li><a href="https://cord-19.apps.allenai.org">CORD-19 Explorer</a></li><li><a href="https://pages.semanticscholar.org/coronavirus-research">Semantic Scholar | CORD-19</a></li><li><a href="https://allenai.org">Allen Institute for AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In the midst of the COVID-19 pandemic, Daniel and Chris have a timely conversation with Lucy Lu Wang of the Allen Institute for Artificial Intelligence about COVID-19 Open Research Dataset (CORD-19). She relates how CORD-19 was created and organized, and how researchers around the world are currently using the data to answer important COVID-19 questions that will help the world through this ongoing crisis.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack. Get 10% off using the code PRACTICALAI10. To learn more and purchase tickets go to <a href="https://datadan.io/">datadan.io</a>. </li></ul><p>Featuring:</p><ul><li>Lucy Lu Wang – <a href="https://llwang.net/">Website</a>, <a href="https://github.com/lucylw">GitHub</a>, <a href="https://www.linkedin.com/in/lucylw">LinkedIn</a>, <a href="https://x.com/lucyluwang">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://scholar.google.com/citations?user=REBtJOYAAAAJ">Lucy Lu Wang - Google Scholar</a></li><li><a href="https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge">Kaggle: COVID-19 Open Research Dataset Challenge (CORD-19)</a></li><li><a href="https://cord-19.apps.allenai.org">CORD-19 Explorer</a></li><li><a href="https://pages.semanticscholar.org/coronavirus-research">Semantic Scholar | CORD-19</a></li><li><a href="https://allenai.org">Allen Institute for AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 20 Apr 2020 12:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/15bb67dd/984ad4ba.mp3" length="42074327" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2621</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In the midst of the COVID-19 pandemic, Daniel and Chris have a timely conversation with Lucy Lu Wang of the Allen Institute for Artificial Intelligence about COVID-19 Open Research Dataset (CORD-19). She relates how CORD-19 was created and organized, and how researchers around the world are currently using the data to answer important COVID-19 questions that will help the world through this ongoing crisis.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack. Get 10% off using the code PRACTICALAI10. To learn more and purchase tickets go to <a href="https://datadan.io/">datadan.io</a>. </li></ul><p>Featuring:</p><ul><li>Lucy Lu Wang – <a href="https://llwang.net/">Website</a>, <a href="https://github.com/lucylw">GitHub</a>, <a href="https://www.linkedin.com/in/lucylw">LinkedIn</a>, <a href="https://x.com/lucyluwang">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://scholar.google.com/citations?user=REBtJOYAAAAJ">Lucy Lu Wang - Google Scholar</a></li><li><a href="https://www.kaggle.com/allen-institute-for-ai/CORD-19-research-challenge">Kaggle: COVID-19 Open Research Dataset Challenge (CORD-19)</a></li><li><a href="https://cord-19.apps.allenai.org">CORD-19 Explorer</a></li><li><a href="https://pages.semanticscholar.org/coronavirus-research">Semantic Scholar | CORD-19</a></li><li><a href="https://allenai.org">Allen Institute for AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/lucyluwang" img="https://img.transistorcdn.com/SM5VRPBDLgXEEn6lHjBT_P6_NMJFxg9yur577OpDZYc/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zYmJh/Y2YyY2E0NDU0MTlk/YTI5Y2RhOGRiOWY0/ZTBkMy5qcGc.jpg">Lucy Lu Wang</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Achieving provably beneficial, human-compatible AI</title>
      <itunes:episode>85</itunes:episode>
      <podcast:episode>85</podcast:episode>
      <itunes:title>Achieving provably beneficial, human-compatible AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/938</guid>
      <link>https://share.transistor.fm/s/933933a1</link>
      <description>
        <![CDATA[<p>AI legend Stuart Russell, the Berkeley professor who leads the <em>Center for Human-Compatible AI</em>, joins Chris to share his insights into the future of artificial intelligence. Stuart is the author of <em>Human Compatible</em>, and the upcoming 4th edition of his perennial classic <em>Artificial Intelligence: A Modern Approach</em>, which is widely regarded as the standard text on AI. After exposing the shortcomings inherent in deep learning, Stuart goes on to propose a new practitioner approach to creating AI that avoids harmful unintended consequences, and offers a path forward towards a future in which humans can safely rely of provably beneficial AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://pluralsight.com/changelog">Pluralsight</a> – <strong>Stay home. Skill up. For free.</strong> Pluralsight is totally free for the entire month of April! With over 7,000 courses from experts in software development, security, cloud and data there’s never been a better time to skill up. Learn more and get started at <a href="https://pluralsight.com/changelog">pluralsight.com/changelog</a></li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Stuart Russell – <a href="https://people.eecs.berkeley.edu/~russell">Website</a>, <a href="https://www.linkedin.com/in/stuart-russell-3a924228">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://en.wikipedia.org/wiki/Stuart_J._Russell">Stuart Russell on Wikipedia</a></li><li><a href="https://www.ted.com/speakers/stuart_russell">Stuart Russell’s TED Speaker profile</a></li><li><a href="https://humancompatible.ai"><em>Center for Human-Compatible AI</em></a></li><li><a href="https://techcrunch.com/2020/03/20/stuart-russell-on-how-to-make-ai-human-compatible">Stuart Russell on how to make AI ‘human-compatible’</a></li><li><a href="https://www.vox.com/future-perfect/2019/10/26/20932289/ai-stuart-russell-human-compatible">AI could be a disaster for humanity. A top computer scientist thinks he has the solution.</a></li><li><a href="https://www.forbes.com/sites/peterhigh/2020/01/13/leading-ai-luminary-has-an-idea-to-ensure-humans-remain-in-control">Leading AI Luminary Has An Idea To Ensure Humans Remain In Control</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0134610997">“Artificial Intelligence” by Stuart Russell and Peter Norvig</a></li><li><a href="https://www.amazon.com/dp/0525558632">“Human Compatible” by Stuart Russell</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>AI legend Stuart Russell, the Berkeley professor who leads the <em>Center for Human-Compatible AI</em>, joins Chris to share his insights into the future of artificial intelligence. Stuart is the author of <em>Human Compatible</em>, and the upcoming 4th edition of his perennial classic <em>Artificial Intelligence: A Modern Approach</em>, which is widely regarded as the standard text on AI. After exposing the shortcomings inherent in deep learning, Stuart goes on to propose a new practitioner approach to creating AI that avoids harmful unintended consequences, and offers a path forward towards a future in which humans can safely rely of provably beneficial AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://pluralsight.com/changelog">Pluralsight</a> – <strong>Stay home. Skill up. For free.</strong> Pluralsight is totally free for the entire month of April! With over 7,000 courses from experts in software development, security, cloud and data there’s never been a better time to skill up. Learn more and get started at <a href="https://pluralsight.com/changelog">pluralsight.com/changelog</a></li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Stuart Russell – <a href="https://people.eecs.berkeley.edu/~russell">Website</a>, <a href="https://www.linkedin.com/in/stuart-russell-3a924228">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://en.wikipedia.org/wiki/Stuart_J._Russell">Stuart Russell on Wikipedia</a></li><li><a href="https://www.ted.com/speakers/stuart_russell">Stuart Russell’s TED Speaker profile</a></li><li><a href="https://humancompatible.ai"><em>Center for Human-Compatible AI</em></a></li><li><a href="https://techcrunch.com/2020/03/20/stuart-russell-on-how-to-make-ai-human-compatible">Stuart Russell on how to make AI ‘human-compatible’</a></li><li><a href="https://www.vox.com/future-perfect/2019/10/26/20932289/ai-stuart-russell-human-compatible">AI could be a disaster for humanity. A top computer scientist thinks he has the solution.</a></li><li><a href="https://www.forbes.com/sites/peterhigh/2020/01/13/leading-ai-luminary-has-an-idea-to-ensure-humans-remain-in-control">Leading AI Luminary Has An Idea To Ensure Humans Remain In Control</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0134610997">“Artificial Intelligence” by Stuart Russell and Peter Norvig</a></li><li><a href="https://www.amazon.com/dp/0525558632">“Human Compatible” by Stuart Russell</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 13 Apr 2020 11:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/933933a1/c4d5f652.mp3" length="50870120" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3172</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>AI legend Stuart Russell, the Berkeley professor who leads the <em>Center for Human-Compatible AI</em>, joins Chris to share his insights into the future of artificial intelligence. Stuart is the author of <em>Human Compatible</em>, and the upcoming 4th edition of his perennial classic <em>Artificial Intelligence: A Modern Approach</em>, which is widely regarded as the standard text on AI. After exposing the shortcomings inherent in deep learning, Stuart goes on to propose a new practitioner approach to creating AI that avoids harmful unintended consequences, and offers a path forward towards a future in which humans can safely rely of provably beneficial AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://pluralsight.com/changelog">Pluralsight</a> – <strong>Stay home. Skill up. For free.</strong> Pluralsight is totally free for the entire month of April! With over 7,000 courses from experts in software development, security, cloud and data there’s never been a better time to skill up. Learn more and get started at <a href="https://pluralsight.com/changelog">pluralsight.com/changelog</a></li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Stuart Russell – <a href="https://people.eecs.berkeley.edu/~russell">Website</a>, <a href="https://www.linkedin.com/in/stuart-russell-3a924228">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://en.wikipedia.org/wiki/Stuart_J._Russell">Stuart Russell on Wikipedia</a></li><li><a href="https://www.ted.com/speakers/stuart_russell">Stuart Russell’s TED Speaker profile</a></li><li><a href="https://humancompatible.ai"><em>Center for Human-Compatible AI</em></a></li><li><a href="https://techcrunch.com/2020/03/20/stuart-russell-on-how-to-make-ai-human-compatible">Stuart Russell on how to make AI ‘human-compatible’</a></li><li><a href="https://www.vox.com/future-perfect/2019/10/26/20932289/ai-stuart-russell-human-compatible">AI could be a disaster for humanity. A top computer scientist thinks he has the solution.</a></li><li><a href="https://www.forbes.com/sites/peterhigh/2020/01/13/leading-ai-luminary-has-an-idea-to-ensure-humans-remain-in-control">Leading AI Luminary Has An Idea To Ensure Humans Remain In Control</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0134610997">“Artificial Intelligence” by Stuart Russell and Peter Norvig</a></li><li><a href="https://www.amazon.com/dp/0525558632">“Human Compatible” by Stuart Russell</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/stuart-russell" img="https://img.transistorcdn.com/hjIy6Ettj5ZuUPQhX37pBJRwnA2UP59_NUiW9GcZ-SA/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81YWEz/NWJhYmZiZWYwYTU5/ZjAyNzRkNmVjN2Qx/MTU0OS5qcGVn.jpg">Stuart Russell</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
    </item>
    <item>
      <title>COVID-19 Q&amp;A and CORD-19</title>
      <itunes:episode>84</itunes:episode>
      <podcast:episode>84</podcast:episode>
      <itunes:title>COVID-19 Q&amp;A and CORD-19</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/935</guid>
      <link>https://share.transistor.fm/s/fb45563d</link>
      <description>
        <![CDATA[<p>So many AI developers are coming up with creative, useful COVID-19 applications during this time of crisis. Among those are Timo from Deepset-AI and Tony from Intel. They are working on a question answering system for pandemic-related questions called COVID-QA. In this episode, they describe the system, related annotation of the CORD-19 data set, and ways that you can contribute!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Timo Möeller – <a href="https://github.com/Timoeller">GitHub</a>, <a href="https://www.linkedin.com/in/timo-moeller">LinkedIn</a></li><li>Tony Reina – <a href="https://github.com/tonyreina">GitHub</a>, <a href="https://www.linkedin.com/in/skysurgery">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/deepset-ai/COVID-QA">COVID-QA</a></li><li><a href="https://pages.semanticscholar.org/coronavirus-research">CORD-19</a></li><li><a href="https://changelog.com/practicalai/68">Episode featuring SpaCy</a></li><li><a href="https://github.com/UKPLab/sentence-transformers">Sentence transformers</a></li><li><a href="https://changelog.com/practicalai/22">Episode on BERT</a></li><li><a href="https://deepset.ai/german-bert">German BERT from Deepset-AI</a></li><li><a href="https://huggingface.co/transformers/">Hugging Face Transformers</a></li><li><a href="https://github.com/deepset-ai/haystack">Haystack from Deepset-AI</a></li><li><a href="https://deepmind.com/research/open-source/computational-predictions-of-protein-structures-associated-with-COVID-19">Deepmind molecular structure with RL project</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>So many AI developers are coming up with creative, useful COVID-19 applications during this time of crisis. Among those are Timo from Deepset-AI and Tony from Intel. They are working on a question answering system for pandemic-related questions called COVID-QA. In this episode, they describe the system, related annotation of the CORD-19 data set, and ways that you can contribute!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Timo Möeller – <a href="https://github.com/Timoeller">GitHub</a>, <a href="https://www.linkedin.com/in/timo-moeller">LinkedIn</a></li><li>Tony Reina – <a href="https://github.com/tonyreina">GitHub</a>, <a href="https://www.linkedin.com/in/skysurgery">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/deepset-ai/COVID-QA">COVID-QA</a></li><li><a href="https://pages.semanticscholar.org/coronavirus-research">CORD-19</a></li><li><a href="https://changelog.com/practicalai/68">Episode featuring SpaCy</a></li><li><a href="https://github.com/UKPLab/sentence-transformers">Sentence transformers</a></li><li><a href="https://changelog.com/practicalai/22">Episode on BERT</a></li><li><a href="https://deepset.ai/german-bert">German BERT from Deepset-AI</a></li><li><a href="https://huggingface.co/transformers/">Hugging Face Transformers</a></li><li><a href="https://github.com/deepset-ai/haystack">Haystack from Deepset-AI</a></li><li><a href="https://deepmind.com/research/open-source/computational-predictions-of-protein-structures-associated-with-COVID-19">Deepmind molecular structure with RL project</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 06 Apr 2020 12:45:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/fb45563d/19b565f0.mp3" length="52418806" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3269</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>So many AI developers are coming up with creative, useful COVID-19 applications during this time of crisis. Among those are Timo from Deepset-AI and Tony from Intel. They are working on a question answering system for pandemic-related questions called COVID-QA. In this episode, they describe the system, related annotation of the CORD-19 data set, and ways that you can contribute!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Timo Möeller – <a href="https://github.com/Timoeller">GitHub</a>, <a href="https://www.linkedin.com/in/timo-moeller">LinkedIn</a></li><li>Tony Reina – <a href="https://github.com/tonyreina">GitHub</a>, <a href="https://www.linkedin.com/in/skysurgery">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/deepset-ai/COVID-QA">COVID-QA</a></li><li><a href="https://pages.semanticscholar.org/coronavirus-research">CORD-19</a></li><li><a href="https://changelog.com/practicalai/68">Episode featuring SpaCy</a></li><li><a href="https://github.com/UKPLab/sentence-transformers">Sentence transformers</a></li><li><a href="https://changelog.com/practicalai/22">Episode on BERT</a></li><li><a href="https://deepset.ai/german-bert">German BERT from Deepset-AI</a></li><li><a href="https://huggingface.co/transformers/">Hugging Face Transformers</a></li><li><a href="https://github.com/deepset-ai/haystack">Haystack from Deepset-AI</a></li><li><a href="https://deepmind.com/research/open-source/computational-predictions-of-protein-structures-associated-with-COVID-19">Deepmind molecular structure with RL project</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/timo-moeller" img="https://img.transistorcdn.com/-FXdaB6R2b_vC3HPpssLM0x3cliHc8JROLuVfjvJ3BU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xYTA0/NmE5NGE3NTZmODRj/NjM4NWMxNmZmY2Fh/YTY1OC5qcGVn.jpg">Timo Möeller</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/tonyreina" img="https://img.transistorcdn.com/8Nc4HwF4O_wI-74tEq85ERsbfqW2zK_oOKhfMDeUd0I/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80YTcz/NjRmNDIwZjViYTZl/YTk0NWEzYTM2Mzc4/YzZmMC5qcGc.jpg">Tony Reina</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Mapping the intersection of AI and GIS</title>
      <itunes:episode>83</itunes:episode>
      <podcast:episode>83</podcast:episode>
      <itunes:title>Mapping the intersection of AI and GIS</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/923</guid>
      <link>https://share.transistor.fm/s/6ee91a91</link>
      <description>
        <![CDATA[<p>Daniel Wilson and Rob Fletcher of ESRI hang with Chris and Daniel to chat about how AI powered modern geographic information systems (GIS) and location intelligence. They illuminate the various models used for GIS, spatial analysis, remote sensing, real-time visualization, and 3D analytics. You don’t want to miss the part about their work for the DoD’s Joint AI Center in humanitarian assistance / disaster relief.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Daniel Wilson – <a href="https://www.linkedin.com/in/daniel-wilson-a274b218">LinkedIn</a></li><li>Rob Fletcher – <a href="https://www.linkedin.com/in/rob-roy-fletcher">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.esri.com">ESRI</a></li><li><a href="https://medium.com/geoai">ESRI - GeoAI Blog</a></li><li><a href="https://www.youtube.com/watch?v=laDc9TKhpdI">ESRI - YouTube: ArcGIS &amp; Artificial Intelligence (DoD JAIC)</a></li><li><a href="https://changelog.com/practicalai/72">Practical AI #72: How the U.S. military thinks about AI (DoD JAIC)</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1493938436">“Pattern Recognition and Machine Learning” by Christopher M. Bishop</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel Wilson and Rob Fletcher of ESRI hang with Chris and Daniel to chat about how AI powered modern geographic information systems (GIS) and location intelligence. They illuminate the various models used for GIS, spatial analysis, remote sensing, real-time visualization, and 3D analytics. You don’t want to miss the part about their work for the DoD’s Joint AI Center in humanitarian assistance / disaster relief.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Daniel Wilson – <a href="https://www.linkedin.com/in/daniel-wilson-a274b218">LinkedIn</a></li><li>Rob Fletcher – <a href="https://www.linkedin.com/in/rob-roy-fletcher">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.esri.com">ESRI</a></li><li><a href="https://medium.com/geoai">ESRI - GeoAI Blog</a></li><li><a href="https://www.youtube.com/watch?v=laDc9TKhpdI">ESRI - YouTube: ArcGIS &amp; Artificial Intelligence (DoD JAIC)</a></li><li><a href="https://changelog.com/practicalai/72">Practical AI #72: How the U.S. military thinks about AI (DoD JAIC)</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1493938436">“Pattern Recognition and Machine Learning” by Christopher M. Bishop</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 30 Mar 2020 11:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/6ee91a91/f73e74c1.mp3" length="47789300" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2979</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel Wilson and Rob Fletcher of ESRI hang with Chris and Daniel to chat about how AI powered modern geographic information systems (GIS) and location intelligence. They illuminate the various models used for GIS, spatial analysis, remote sensing, real-time visualization, and 3D analytics. You don’t want to miss the part about their work for the DoD’s Joint AI Center in humanitarian assistance / disaster relief.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Daniel Wilson – <a href="https://www.linkedin.com/in/daniel-wilson-a274b218">LinkedIn</a></li><li>Rob Fletcher – <a href="https://www.linkedin.com/in/rob-roy-fletcher">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.esri.com">ESRI</a></li><li><a href="https://medium.com/geoai">ESRI - GeoAI Blog</a></li><li><a href="https://www.youtube.com/watch?v=laDc9TKhpdI">ESRI - YouTube: ArcGIS &amp; Artificial Intelligence (DoD JAIC)</a></li><li><a href="https://changelog.com/practicalai/72">Practical AI #72: How the U.S. military thinks about AI (DoD JAIC)</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1493938436">“Pattern Recognition and Machine Learning” by Christopher M. Bishop</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/dwilson" img="https://img.transistorcdn.com/VaNpjHlKpWV2lLyq0jClQICnawG1geRJV-pC8Im7QpY/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hZTI0/MDVkZGQ3ODkzODVl/MTg5MGU5Y2NmMjcx/ZTRiYy5qcGVn.jpg">Daniel Wilson</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/robfletcher" img="https://img.transistorcdn.com/KeS0CTlFGNTgZtIbGThLpLBggmY-AFpHvdjGyAFXIs0/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85MTVm/MTY3MjAwOWRmNjdl/OGQ1NzNjY2E4YWYw/Y2E3MC5qcGVn.jpg">Rob Fletcher</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Welcome to Practical AI</title>
      <itunes:title>Welcome to Practical AI</itunes:title>
      <itunes:episodeType>trailer</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/932</guid>
      <link>https://practicalai.fm/trailer-1</link>
      <description>
        <![CDATA[<p>Practical AI is a weekly podcast that’s marking artificial intelligence practical, productive, and accessible to everyone. If world of AI affects your daily life, this show is for you.</p><p>From the practitioner wanting to keep up with the latest tools &amp; trends…</p><p>(clip <a href="https://changelog.com/practicalai/68">from episode #68</a>)</p><p>To the AI curious trying to understand the concepts at play and their implications on our lives…</p><p>(clip <a href="https://changelog.com/practicalai/39">from episode #39</a>)</p><p>Expert hosts Chris Benson and Daniel Whitenack are here to keep you fully-connected with the world of machine learning and data science.</p><p>Please listen to a recent episode that interests you and subscribe today. We’d love to have you as a listener!</p><p><a href="https://changelog.zulipchat.com/#narrow/stream/456003-practicalai">Join the discussion</a></p><p><a href="https://changelog.com/++">Changelog++</a> members support our work, get closer to the metal, and make the ads disappear. Join today!</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul><p><br></p>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Practical AI is a weekly podcast that’s marking artificial intelligence practical, productive, and accessible to everyone. If world of AI affects your daily life, this show is for you.</p><p>From the practitioner wanting to keep up with the latest tools &amp; trends…</p><p>(clip <a href="https://changelog.com/practicalai/68">from episode #68</a>)</p><p>To the AI curious trying to understand the concepts at play and their implications on our lives…</p><p>(clip <a href="https://changelog.com/practicalai/39">from episode #39</a>)</p><p>Expert hosts Chris Benson and Daniel Whitenack are here to keep you fully-connected with the world of machine learning and data science.</p><p>Please listen to a recent episode that interests you and subscribe today. We’d love to have you as a listener!</p><p><a href="https://changelog.zulipchat.com/#narrow/stream/456003-practicalai">Join the discussion</a></p><p><a href="https://changelog.com/++">Changelog++</a> members support our work, get closer to the metal, and make the ads disappear. Join today!</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul><p><br></p>]]>
      </content:encoded>
      <pubDate>Wed, 25 Mar 2020 17:10:28 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/2f2ad7a3/f9f68364.mp3" length="1687418" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>91</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Practical AI is a weekly podcast that’s marking artificial intelligence practical, productive, and accessible to everyone. If world of AI affects your daily life, this show is for you.</p><p>From the practitioner wanting to keep up with the latest tools &amp; trends…</p><p>(clip <a href="https://changelog.com/practicalai/68">from episode #68</a>)</p><p>To the AI curious trying to understand the concepts at play and their implications on our lives…</p><p>(clip <a href="https://changelog.com/practicalai/39">from episode #39</a>)</p><p>Expert hosts Chris Benson and Daniel Whitenack are here to keep you fully-connected with the world of machine learning and data science.</p><p>Please listen to a recent episode that interests you and subscribe today. We’d love to have you as a listener!</p><p><a href="https://changelog.zulipchat.com/#narrow/stream/456003-practicalai">Join the discussion</a></p><p><a href="https://changelog.com/++">Changelog++</a> members support our work, get closer to the metal, and make the ads disappear. Join today!</p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul><p><br></p>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Speech recognition to say it just right</title>
      <itunes:episode>82</itunes:episode>
      <podcast:episode>82</podcast:episode>
      <itunes:title>Speech recognition to say it just right</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/922</guid>
      <link>https://share.transistor.fm/s/0d860c05</link>
      <description>
        <![CDATA[<p>Catherine Breslin of Cobalt joins Daniel and Chris to do a deep dive on speech recognition. She also discusses how the technology is integrated into virtual assistants (like Alexa) and is used in other non-assistant contexts (like transcription and captioning). Along the way, she teaches us how to assemble a lexicon, acoustic model, and language model to bring speech recognition to life.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Catherine Breslin – <a href="https://www.catherinebreslin.co.uk">Website</a>, <a href="https://github.com/catherinebreslin">GitHub</a>, <a href="https://www.linkedin.com/in/catherine-breslin-0592423a">LinkedIn</a>, <a href="https://x.com/catherinebuk">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://scholar.google.co.uk">Catherine Breslin - Google Scholar</a></li><li><a href="https://www.cobaltspeech.com">Cobalt Speech and Language</a></li><li><a href="https://www.businessinsider.com/tech-100-2018-the-coolest-people-in-the-uk-tech-industry-2018-9?IR=T#42-the-woman-teaching-alexa-dr-catherine-breslin-59">Business Insider: The 100 coolest people in UK tech - Catherine Breslin</a></li><li><a href="https://www.thefemalelead.com/profile/catherine-breslin">The Female Lead - Catherine Breslin</a></li><li><a href="https://www.siliconrepublic.com/enterprise/sci-tech-100-2018-architects-future">Silicon Republic: 15 architects building the data-driven future</a></li><li><a href="https://www.stylist.co.uk/visible-women/catherine-breslin-amazon-alexa-machine-learning-scientist-women-in-tech/188131">Stylist: Meet the woman who teaches Amazon Alexa how to understand humans</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Catherine Breslin of Cobalt joins Daniel and Chris to do a deep dive on speech recognition. She also discusses how the technology is integrated into virtual assistants (like Alexa) and is used in other non-assistant contexts (like transcription and captioning). Along the way, she teaches us how to assemble a lexicon, acoustic model, and language model to bring speech recognition to life.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Catherine Breslin – <a href="https://www.catherinebreslin.co.uk">Website</a>, <a href="https://github.com/catherinebreslin">GitHub</a>, <a href="https://www.linkedin.com/in/catherine-breslin-0592423a">LinkedIn</a>, <a href="https://x.com/catherinebuk">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://scholar.google.co.uk">Catherine Breslin - Google Scholar</a></li><li><a href="https://www.cobaltspeech.com">Cobalt Speech and Language</a></li><li><a href="https://www.businessinsider.com/tech-100-2018-the-coolest-people-in-the-uk-tech-industry-2018-9?IR=T#42-the-woman-teaching-alexa-dr-catherine-breslin-59">Business Insider: The 100 coolest people in UK tech - Catherine Breslin</a></li><li><a href="https://www.thefemalelead.com/profile/catherine-breslin">The Female Lead - Catherine Breslin</a></li><li><a href="https://www.siliconrepublic.com/enterprise/sci-tech-100-2018-architects-future">Silicon Republic: 15 architects building the data-driven future</a></li><li><a href="https://www.stylist.co.uk/visible-women/catherine-breslin-amazon-alexa-machine-learning-scientist-women-in-tech/188131">Stylist: Meet the woman who teaches Amazon Alexa how to understand humans</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 23 Mar 2020 11:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/0d860c05/abf4dcdd.mp3" length="47406079" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2955</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Catherine Breslin of Cobalt joins Daniel and Chris to do a deep dive on speech recognition. She also discusses how the technology is integrated into virtual assistants (like Alexa) and is used in other non-assistant contexts (like transcription and captioning). Along the way, she teaches us how to assemble a lexicon, acoustic model, and language model to bring speech recognition to life.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Catherine Breslin – <a href="https://www.catherinebreslin.co.uk">Website</a>, <a href="https://github.com/catherinebreslin">GitHub</a>, <a href="https://www.linkedin.com/in/catherine-breslin-0592423a">LinkedIn</a>, <a href="https://x.com/catherinebuk">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://scholar.google.co.uk">Catherine Breslin - Google Scholar</a></li><li><a href="https://www.cobaltspeech.com">Cobalt Speech and Language</a></li><li><a href="https://www.businessinsider.com/tech-100-2018-the-coolest-people-in-the-uk-tech-industry-2018-9?IR=T#42-the-woman-teaching-alexa-dr-catherine-breslin-59">Business Insider: The 100 coolest people in UK tech - Catherine Breslin</a></li><li><a href="https://www.thefemalelead.com/profile/catherine-breslin">The Female Lead - Catherine Breslin</a></li><li><a href="https://www.siliconrepublic.com/enterprise/sci-tech-100-2018-architects-future">Silicon Republic: 15 architects building the data-driven future</a></li><li><a href="https://www.stylist.co.uk/visible-women/catherine-breslin-amazon-alexa-machine-learning-scientist-women-in-tech/188131">Stylist: Meet the woman who teaches Amazon Alexa how to understand humans</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/catherinebreslin" img="https://img.transistorcdn.com/I_VWkDueXsuDOeoG2ypOsE9u_pqD7fd3k-BSJSpWgc8/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lZDZl/NWFkZTZjNWFiOWFh/MjI3M2FmZjUwZmI5/NGEzOS5qcGc.jpg">Catherine Breslin</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Building a career in Data Science</title>
      <itunes:episode>81</itunes:episode>
      <podcast:episode>81</podcast:episode>
      <itunes:title>Building a career in Data Science</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/915</guid>
      <link>https://share.transistor.fm/s/13e73647</link>
      <description>
        <![CDATA[<p>Emily Robinson, co-author of the book <a href="https://www.manning.com/books/build-a-career-in-data-science">Build a Career in Data Science</a>, gives us the inside scoop about optimizing the data science job search. From creating one’s resume, cover letter, and portfolio to knowing how to recognize the right job at a fair compensation rate.</p><p>Emily’s expert guidance takes us from the beginning of the process to conclusion, including being successful during your early days in that fantastic new data science position.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Emily Robinson – <a href="https://github.com/robinsones">GitHub</a>, <a href="https://x.com/robinson_es">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Comment on the episode page for a chance to win a FREE copy of the eBook! Tell us why you are interested in Data Science and how this book might help you achieve your goals. Our 3 favorite comments will be selected on April 13th!</p><ul><li><a href="https://rstats.ai/nyr">R Conference | New York City</a></li></ul><p>Books</p><ul><li><a href="https://www.manning.com/books/build-a-career-in-data-science">“Build a Career in Data Science” by Emily Robinson and Jacqueline Nolis</a><ul><li>Be sure to use discount code: <strong>podpracticalAI19</strong></li></ul></li><li><a href="https://www.amazon.com/dp/0984782850">“Cracking the Coding Interview” by Gayle Laakmann McDowell</a></li><li><a href="https://designingyour.life/designing-your-new-work-life/">“Designing Your New Work Life” by Bill Burnett and Dave Evans</a></li><li><a href="https://designingyour.life/the-book">“Designing Your Life” by Bill Burnett and Dave Evans</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Emily Robinson, co-author of the book <a href="https://www.manning.com/books/build-a-career-in-data-science">Build a Career in Data Science</a>, gives us the inside scoop about optimizing the data science job search. From creating one’s resume, cover letter, and portfolio to knowing how to recognize the right job at a fair compensation rate.</p><p>Emily’s expert guidance takes us from the beginning of the process to conclusion, including being successful during your early days in that fantastic new data science position.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Emily Robinson – <a href="https://github.com/robinsones">GitHub</a>, <a href="https://x.com/robinson_es">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Comment on the episode page for a chance to win a FREE copy of the eBook! Tell us why you are interested in Data Science and how this book might help you achieve your goals. Our 3 favorite comments will be selected on April 13th!</p><ul><li><a href="https://rstats.ai/nyr">R Conference | New York City</a></li></ul><p>Books</p><ul><li><a href="https://www.manning.com/books/build-a-career-in-data-science">“Build a Career in Data Science” by Emily Robinson and Jacqueline Nolis</a><ul><li>Be sure to use discount code: <strong>podpracticalAI19</strong></li></ul></li><li><a href="https://www.amazon.com/dp/0984782850">“Cracking the Coding Interview” by Gayle Laakmann McDowell</a></li><li><a href="https://designingyour.life/designing-your-new-work-life/">“Designing Your New Work Life” by Bill Burnett and Dave Evans</a></li><li><a href="https://designingyour.life/the-book">“Designing Your Life” by Bill Burnett and Dave Evans</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 16 Mar 2020 11:20:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/13e73647/6c08ace3.mp3" length="49227106" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3069</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Emily Robinson, co-author of the book <a href="https://www.manning.com/books/build-a-career-in-data-science">Build a Career in Data Science</a>, gives us the inside scoop about optimizing the data science job search. From creating one’s resume, cover letter, and portfolio to knowing how to recognize the right job at a fair compensation rate.</p><p>Emily’s expert guidance takes us from the beginning of the process to conclusion, including being successful during your early days in that fantastic new data science position.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://datadan.io">AI Classroom</a> – An immersive, 3 day virtual training in AI with Practical AI co-host Daniel Whitenack </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Emily Robinson – <a href="https://github.com/robinsones">GitHub</a>, <a href="https://x.com/robinson_es">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Comment on the episode page for a chance to win a FREE copy of the eBook! Tell us why you are interested in Data Science and how this book might help you achieve your goals. Our 3 favorite comments will be selected on April 13th!</p><ul><li><a href="https://rstats.ai/nyr">R Conference | New York City</a></li></ul><p>Books</p><ul><li><a href="https://www.manning.com/books/build-a-career-in-data-science">“Build a Career in Data Science” by Emily Robinson and Jacqueline Nolis</a><ul><li>Be sure to use discount code: <strong>podpracticalAI19</strong></li></ul></li><li><a href="https://www.amazon.com/dp/0984782850">“Cracking the Coding Interview” by Gayle Laakmann McDowell</a></li><li><a href="https://designingyour.life/designing-your-new-work-life/">“Designing Your New Work Life” by Bill Burnett and Dave Evans</a></li><li><a href="https://designingyour.life/the-book">“Designing Your Life” by Bill Burnett and Dave Evans</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/robinsones" img="https://img.transistorcdn.com/FWXXnoID5PRhuQY-8nWN_e53QzoSymjm3uuaAB64ydQ/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mMDI5/NjlkOTdlMzAxMGYx/YWY5Mzc5OTFmZmQw/MDdjYy5qcGc.jpg">Emily Robinson</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>What exactly is "data science" these days?</title>
      <itunes:episode>80</itunes:episode>
      <podcast:episode>80</podcast:episode>
      <itunes:title>What exactly is "data science" these days?</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/914</guid>
      <link>https://share.transistor.fm/s/01c0f408</link>
      <description>
        <![CDATA[<p>Matt Brems from General Assembly joins us to explain what “data science” actually means these days and how that has changed over time. He also gives us some insight into how people are going about data science education, how AI fits into the data science workflow, and how to differentiate yourself career-wise.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Matt Brems – <a href="https://github.com/matthewbrems">GitHub</a>, <a href="https://x.com/matthewbrems">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://generalassemb.ly/">General Assembly</a></li><li><a href="https://betavector.com/">Betavector</a></li><li><a href="https://changelog.com/practicalai/49">Previous episode: Exposing the deception of DeepFakes</a></li><li><a href="http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram">Data Science Venn diagram</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Matt Brems from General Assembly joins us to explain what “data science” actually means these days and how that has changed over time. He also gives us some insight into how people are going about data science education, how AI fits into the data science workflow, and how to differentiate yourself career-wise.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Matt Brems – <a href="https://github.com/matthewbrems">GitHub</a>, <a href="https://x.com/matthewbrems">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://generalassemb.ly/">General Assembly</a></li><li><a href="https://betavector.com/">Betavector</a></li><li><a href="https://changelog.com/practicalai/49">Previous episode: Exposing the deception of DeepFakes</a></li><li><a href="http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram">Data Science Venn diagram</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 09 Mar 2020 14:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/01c0f408/741ebce0.mp3" length="46863568" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2921</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Matt Brems from General Assembly joins us to explain what “data science” actually means these days and how that has changed over time. He also gives us some insight into how people are going about data science education, how AI fits into the data science workflow, and how to differentiate yourself career-wise.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Matt Brems – <a href="https://github.com/matthewbrems">GitHub</a>, <a href="https://x.com/matthewbrems">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://generalassemb.ly/">General Assembly</a></li><li><a href="https://betavector.com/">Betavector</a></li><li><a href="https://changelog.com/practicalai/49">Previous episode: Exposing the deception of DeepFakes</a></li><li><a href="http://drewconway.com/zia/2013/3/26/the-data-science-venn-diagram">Data Science Venn diagram</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/matthewbrems" img="https://img.transistorcdn.com/g2uiEagbHi8jwc-eNi73kYBupFTUu9GIY33IQ1PTQNw/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hZmVl/MzFmNDMwZDAzNTdl/NDY0NDhlNmM4NDJi/M2YyZS5wbmc.jpg">Matt Brems</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>TensorFlow in the cloud</title>
      <itunes:episode>79</itunes:episode>
      <podcast:episode>79</podcast:episode>
      <itunes:title>TensorFlow in the cloud</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/912</guid>
      <link>https://share.transistor.fm/s/000d78dd</link>
      <description>
        <![CDATA[<p>Craig Wiley, from Google Cloud, joins us to discuss various pieces of the TensorFlow ecosystem along with TensorFlow Enterprise. He sheds light on how enterprises are utilizing AI and supporting AI-driven applications in the Cloud. He also clarifies Google’s relationship to TensorFlow and explains how TensorFlow development is impacting Google Cloud Platform.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Craig Wiley – <a href="https://x.com/craigfinding42">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://developers.google.com/machine-learning/guides/rules-of-ml">Google’s “Rules of ML”</a></li><li><a href="https://www.tensorflow.org/">Tensorflow</a></li><li><a href="https://www.tensorflow.org/hub">TensorFlow Hub</a></li><li><a href="https://unity.com/">Unity</a></li><li><a href="https://cloud.google.com/tensorflow-enterprise">TensorFlow enterprise</a></li><li><a href="https://developers.google.com/machine-learning/crash-course">Google’s ML crash course</a></li><li><a href="https://www.kaggle.com/getting-started/87793">10 week Kaggle course</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Craig Wiley, from Google Cloud, joins us to discuss various pieces of the TensorFlow ecosystem along with TensorFlow Enterprise. He sheds light on how enterprises are utilizing AI and supporting AI-driven applications in the Cloud. He also clarifies Google’s relationship to TensorFlow and explains how TensorFlow development is impacting Google Cloud Platform.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Craig Wiley – <a href="https://x.com/craigfinding42">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://developers.google.com/machine-learning/guides/rules-of-ml">Google’s “Rules of ML”</a></li><li><a href="https://www.tensorflow.org/">Tensorflow</a></li><li><a href="https://www.tensorflow.org/hub">TensorFlow Hub</a></li><li><a href="https://unity.com/">Unity</a></li><li><a href="https://cloud.google.com/tensorflow-enterprise">TensorFlow enterprise</a></li><li><a href="https://developers.google.com/machine-learning/crash-course">Google’s ML crash course</a></li><li><a href="https://www.kaggle.com/getting-started/87793">10 week Kaggle course</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 02 Mar 2020 12:30:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/000d78dd/3016c6da.mp3" length="45857726" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2858</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Craig Wiley, from Google Cloud, joins us to discuss various pieces of the TensorFlow ecosystem along with TensorFlow Enterprise. He sheds light on how enterprises are utilizing AI and supporting AI-driven applications in the Cloud. He also clarifies Google’s relationship to TensorFlow and explains how TensorFlow development is impacting Google Cloud Platform.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Craig Wiley – <a href="https://x.com/craigfinding42">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://developers.google.com/machine-learning/guides/rules-of-ml">Google’s “Rules of ML”</a></li><li><a href="https://www.tensorflow.org/">Tensorflow</a></li><li><a href="https://www.tensorflow.org/hub">TensorFlow Hub</a></li><li><a href="https://unity.com/">Unity</a></li><li><a href="https://cloud.google.com/tensorflow-enterprise">TensorFlow enterprise</a></li><li><a href="https://developers.google.com/machine-learning/crash-course">Google’s ML crash course</a></li><li><a href="https://www.kaggle.com/getting-started/87793">10 week Kaggle course</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/craigwiley" img="https://img.transistorcdn.com/wQj_41TdlGuTApt0wDVXumufJZxFE7Y7nxG8HQ7lMuw/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mZGUx/NTExZmJkOTM3OTA3/N2UxMjM5NTUxNWIw/NjI2NC5qcGc.jpg">Craig Wiley</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>NLP for the world's 7000+ languages</title>
      <itunes:episode>78</itunes:episode>
      <podcast:episode>78</podcast:episode>
      <itunes:title>NLP for the world's 7000+ languages</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/903</guid>
      <link>https://share.transistor.fm/s/f918e894</link>
      <description>
        <![CDATA[<p>Expanding AI technology to the local languages of emerging markets presents huge challenges. Good data is scarce or non-existent. Users often have bandwidth or connectivity issues. Existing platforms target only a small number of high-resource languages.</p><p>Our own Daniel Whitenack (data scientist at SIL International) and Dan Jeffries (from Pachyderm) discuss how these and related problems will only be solved when AI technology and resources from industry are combined with linguistic expertise from those on the ground working with local language communities. They have illustrated this approach as they work on pushing voice technology into emerging markets.</p><p><br></p><p>Featuring:</p><ul><li>Dan Jeffries – <a href="https://www.linkedin.com/in/danjeffries">LinkedIn</a>, <a href="https://x.com/Dan_Jeffries1">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.ethnologue.com/guides/how-many-languages">The world’s languages</a></li><li><a href="https://www.ethnologue.com">Ethnologue</a></li><li><a href="https://github.com/sil-ai/tts-singlish">TTS for Singlish</a></li><li><a href="https://www.sil.org/">SIL International</a></li><li><a href="https://pachyderm.io/">Pachyderm</a></li><li><a href="https://changelog.com/practicalai/23">Previous episode - Pachyderm’s Kubernetes-based infrastructure for AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Expanding AI technology to the local languages of emerging markets presents huge challenges. Good data is scarce or non-existent. Users often have bandwidth or connectivity issues. Existing platforms target only a small number of high-resource languages.</p><p>Our own Daniel Whitenack (data scientist at SIL International) and Dan Jeffries (from Pachyderm) discuss how these and related problems will only be solved when AI technology and resources from industry are combined with linguistic expertise from those on the ground working with local language communities. They have illustrated this approach as they work on pushing voice technology into emerging markets.</p><p><br></p><p>Featuring:</p><ul><li>Dan Jeffries – <a href="https://www.linkedin.com/in/danjeffries">LinkedIn</a>, <a href="https://x.com/Dan_Jeffries1">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.ethnologue.com/guides/how-many-languages">The world’s languages</a></li><li><a href="https://www.ethnologue.com">Ethnologue</a></li><li><a href="https://github.com/sil-ai/tts-singlish">TTS for Singlish</a></li><li><a href="https://www.sil.org/">SIL International</a></li><li><a href="https://pachyderm.io/">Pachyderm</a></li><li><a href="https://changelog.com/practicalai/23">Previous episode - Pachyderm’s Kubernetes-based infrastructure for AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 24 Feb 2020 13:30:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/f918e894/fb7553ea.mp3" length="52769942" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3291</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Expanding AI technology to the local languages of emerging markets presents huge challenges. Good data is scarce or non-existent. Users often have bandwidth or connectivity issues. Existing platforms target only a small number of high-resource languages.</p><p>Our own Daniel Whitenack (data scientist at SIL International) and Dan Jeffries (from Pachyderm) discuss how these and related problems will only be solved when AI technology and resources from industry are combined with linguistic expertise from those on the ground working with local language communities. They have illustrated this approach as they work on pushing voice technology into emerging markets.</p><p><br></p><p>Featuring:</p><ul><li>Dan Jeffries – <a href="https://www.linkedin.com/in/danjeffries">LinkedIn</a>, <a href="https://x.com/Dan_Jeffries1">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.ethnologue.com/guides/how-many-languages">The world’s languages</a></li><li><a href="https://www.ethnologue.com">Ethnologue</a></li><li><a href="https://github.com/sil-ai/tts-singlish">TTS for Singlish</a></li><li><a href="https://www.sil.org/">SIL International</a></li><li><a href="https://pachyderm.io/">Pachyderm</a></li><li><a href="https://changelog.com/practicalai/23">Previous episode - Pachyderm’s Kubernetes-based infrastructure for AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/danjeffries" img="https://img.transistorcdn.com/JeeVdvGBzo5z6Lse1ifQtfFB5P_3_PQ2Ry_84qDVbco/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81MDcx/NGY1NWEwYjU1MTU4/ZGVkYzNhMmVkZjVk/NDQxMy5qcGc.jpg">Dan Jeffries</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Real-time conversational insights from phone call data</title>
      <itunes:episode>77</itunes:episode>
      <podcast:episode>77</podcast:episode>
      <itunes:title>Real-time conversational insights from phone call data</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/900</guid>
      <link>https://share.transistor.fm/s/60978022</link>
      <description>
        <![CDATA[<p>Daniel and Chris hang out with Mike McCourt from <a href="https://www.invoca.com">Invoca</a> to learn about the natural language processing model architectures underlying <a href="https://www.invoca.com/product/signal-ai">Signal AI</a>. Mike shares how they process conversational data, the challenges they have to overcome, and the types of insights that can be harvested.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li></ul><p>Featuring:</p><ul><li>Mike McCourt – <a href="https://github.com/mkmcc">GitHub</a>, <a href="https://www.linkedin.com/in/michael-mccourt-0a35a4156">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://blog.invoca.com/employee-spotlight-mike-mccourt-astrophysicist-turned-data-scientist">Mike McCourt | Invoca Employee Spotlight</a></li><li><a href="https://www.invoca.com">Invoca</a></li><li><a href="https://www.invoca.com/product/signal-ai">Signal AI</a></li><li><a href="https://en.wikipedia.org/wiki/Zipf%27s_law">Zipf’s law</a></li><li><a href="https://blog.invoca.com/meet-the-data-scientists-behind-invocas-conversational-analytics-algorithms">Meet the Data Scientists Behind Invoca’s Conversational Analytics Algorithms</a><br> -<a href="https://venturebeat.com/2019/10/17/invoca-raises-56-million-to-apply-ai-and-analytics-to-voice-calls">Invoca raises $56 million to apply AI and analytics to voice calls</a><br> -<a href="https://www.clickz.com/invocas-signal-discovery-uses-machine-learning-to-conduct-conversational-analysis-on-inbound-calls/256016">Invoca’s Signal Discovery uses machine learning to conduct conversational analysis on inbound calls</a><br> -<a href="https://www.invoca.com/product/signal-discovery">Invoca - What Will You Discover?</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel and Chris hang out with Mike McCourt from <a href="https://www.invoca.com">Invoca</a> to learn about the natural language processing model architectures underlying <a href="https://www.invoca.com/product/signal-ai">Signal AI</a>. Mike shares how they process conversational data, the challenges they have to overcome, and the types of insights that can be harvested.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li></ul><p>Featuring:</p><ul><li>Mike McCourt – <a href="https://github.com/mkmcc">GitHub</a>, <a href="https://www.linkedin.com/in/michael-mccourt-0a35a4156">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://blog.invoca.com/employee-spotlight-mike-mccourt-astrophysicist-turned-data-scientist">Mike McCourt | Invoca Employee Spotlight</a></li><li><a href="https://www.invoca.com">Invoca</a></li><li><a href="https://www.invoca.com/product/signal-ai">Signal AI</a></li><li><a href="https://en.wikipedia.org/wiki/Zipf%27s_law">Zipf’s law</a></li><li><a href="https://blog.invoca.com/meet-the-data-scientists-behind-invocas-conversational-analytics-algorithms">Meet the Data Scientists Behind Invoca’s Conversational Analytics Algorithms</a><br> -<a href="https://venturebeat.com/2019/10/17/invoca-raises-56-million-to-apply-ai-and-analytics-to-voice-calls">Invoca raises $56 million to apply AI and analytics to voice calls</a><br> -<a href="https://www.clickz.com/invocas-signal-discovery-uses-machine-learning-to-conduct-conversational-analysis-on-inbound-calls/256016">Invoca’s Signal Discovery uses machine learning to conduct conversational analysis on inbound calls</a><br> -<a href="https://www.invoca.com/product/signal-discovery">Invoca - What Will You Discover?</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 17 Feb 2020 12:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/60978022/0ca547b0.mp3" length="49832632" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3107</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel and Chris hang out with Mike McCourt from <a href="https://www.invoca.com">Invoca</a> to learn about the natural language processing model architectures underlying <a href="https://www.invoca.com/product/signal-ai">Signal AI</a>. Mike shares how they process conversational data, the challenges they have to overcome, and the types of insights that can be harvested.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud of choice and the home of Changelog.com.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019 OR changelog2020. To learn more and get started head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li></ul><p>Featuring:</p><ul><li>Mike McCourt – <a href="https://github.com/mkmcc">GitHub</a>, <a href="https://www.linkedin.com/in/michael-mccourt-0a35a4156">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://blog.invoca.com/employee-spotlight-mike-mccourt-astrophysicist-turned-data-scientist">Mike McCourt | Invoca Employee Spotlight</a></li><li><a href="https://www.invoca.com">Invoca</a></li><li><a href="https://www.invoca.com/product/signal-ai">Signal AI</a></li><li><a href="https://en.wikipedia.org/wiki/Zipf%27s_law">Zipf’s law</a></li><li><a href="https://blog.invoca.com/meet-the-data-scientists-behind-invocas-conversational-analytics-algorithms">Meet the Data Scientists Behind Invoca’s Conversational Analytics Algorithms</a><br> -<a href="https://venturebeat.com/2019/10/17/invoca-raises-56-million-to-apply-ai-and-analytics-to-voice-calls">Invoca raises $56 million to apply AI and analytics to voice calls</a><br> -<a href="https://www.clickz.com/invocas-signal-discovery-uses-machine-learning-to-conduct-conversational-analysis-on-inbound-calls/256016">Invoca’s Signal Discovery uses machine learning to conduct conversational analysis on inbound calls</a><br> -<a href="https://www.invoca.com/product/signal-discovery">Invoca - What Will You Discover?</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/mkmcc" img="https://img.transistorcdn.com/-7_5fp8ZZOODIKnj3R-CVLOB0btqBio4iwUpjdMtHz4/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9iZDIx/YzgyZjRjNzNlYzk0/YTZmOWY4ZmZmYjIz/YzhkMS5qcGc.jpg">Mike McCourt</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>AI-powered scientific exploration and discovery</title>
      <itunes:episode>76</itunes:episode>
      <podcast:episode>76</podcast:episode>
      <itunes:title>AI-powered scientific exploration and discovery</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/883</guid>
      <link>https://share.transistor.fm/s/ce5ddd66</link>
      <description>
        <![CDATA[<p>Daniel and Chris explore <a href="https://www.semanticscholar.org">Semantic Scholar</a> with Doug Raymond of the Allen Institute for Artificial Intelligence. Semantic Scholar is an AI-backed search engine that uses machine learning, natural language processing, and machine vision to surface relevant information from scientific papers.</p><p><br></p><p>Featuring:</p><ul><li>Douglas Raymond – <a href="https://github.com/daraymond">GitHub</a>, <a href="https://www.linkedin.com/in/draymond">LinkedIn</a>, <a href="https://x.com/daraymond">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.semanticscholar.org">Semantic Scholar</a></li><li><a href="https://allenai.org">Allen Institute for Artificial Intelligence</a></li><li><a href="https://allennlp.org/elmo">ELMo</a></li><li><a href="https://arxiv.org/abs/1903.10676">SciBERT: A Pretrained Language Model for Scientific Text</a></li><li><a href="http://api.semanticscholar.org/corpus">Semantic Scholar API</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel and Chris explore <a href="https://www.semanticscholar.org">Semantic Scholar</a> with Doug Raymond of the Allen Institute for Artificial Intelligence. Semantic Scholar is an AI-backed search engine that uses machine learning, natural language processing, and machine vision to surface relevant information from scientific papers.</p><p><br></p><p>Featuring:</p><ul><li>Douglas Raymond – <a href="https://github.com/daraymond">GitHub</a>, <a href="https://www.linkedin.com/in/draymond">LinkedIn</a>, <a href="https://x.com/daraymond">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.semanticscholar.org">Semantic Scholar</a></li><li><a href="https://allenai.org">Allen Institute for Artificial Intelligence</a></li><li><a href="https://allennlp.org/elmo">ELMo</a></li><li><a href="https://arxiv.org/abs/1903.10676">SciBERT: A Pretrained Language Model for Scientific Text</a></li><li><a href="http://api.semanticscholar.org/corpus">Semantic Scholar API</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 10 Feb 2020 13:15:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/ce5ddd66/0fcbb9e2.mp3" length="61431969" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2554</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel and Chris explore <a href="https://www.semanticscholar.org">Semantic Scholar</a> with Doug Raymond of the Allen Institute for Artificial Intelligence. Semantic Scholar is an AI-backed search engine that uses machine learning, natural language processing, and machine vision to surface relevant information from scientific papers.</p><p><br></p><p>Featuring:</p><ul><li>Douglas Raymond – <a href="https://github.com/daraymond">GitHub</a>, <a href="https://www.linkedin.com/in/draymond">LinkedIn</a>, <a href="https://x.com/daraymond">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.semanticscholar.org">Semantic Scholar</a></li><li><a href="https://allenai.org">Allen Institute for Artificial Intelligence</a></li><li><a href="https://allennlp.org/elmo">ELMo</a></li><li><a href="https://arxiv.org/abs/1903.10676">SciBERT: A Pretrained Language Model for Scientific Text</a></li><li><a href="http://api.semanticscholar.org/corpus">Semantic Scholar API</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/draymond" img="https://img.transistorcdn.com/02sRR96Kq3g0FG7aNnXzmKoaTx6qF3v-349_6lStHwk/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lZmEy/OWIzYWVlYmM0NWJh/MDZkOGU0Mjk1ODdm/NDI2MS5qcGVn.jpg">Douglas Raymond</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Insights from the AI Index 2019 Annual Report</title>
      <itunes:episode>75</itunes:episode>
      <podcast:episode>75</podcast:episode>
      <itunes:title>Insights from the AI Index 2019 Annual Report</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/882</guid>
      <link>https://share.transistor.fm/s/c37b5cd3</link>
      <description>
        <![CDATA[<p>Daniel and Chris do a deep dive into <a href="https://hai.stanford.edu/sites/g/files/sbiybj10986/f/ai_index_2019_report.pdf">The AI Index 2019 Annual Report</a>, which provides unbiased rigorously-vetted data that one can use “to develop intuitions about the complex field of AI”. Analyzing everything from R&amp;D and technical advancements to education, the economy, and societal considerations, Chris and Daniel lay out this comprehensive report’s key insights about artificial intelligence.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://hai.stanford.edu/sites/g/files/sbiybj10986/f/ai_index_2019_report.pdf">The AI Index 2019 Annual Report</a></li><li><a href="https://hai.stanford.edu">Stanford Institute for Human-Centered Artificial Intelligence</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel and Chris do a deep dive into <a href="https://hai.stanford.edu/sites/g/files/sbiybj10986/f/ai_index_2019_report.pdf">The AI Index 2019 Annual Report</a>, which provides unbiased rigorously-vetted data that one can use “to develop intuitions about the complex field of AI”. Analyzing everything from R&amp;D and technical advancements to education, the economy, and societal considerations, Chris and Daniel lay out this comprehensive report’s key insights about artificial intelligence.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://hai.stanford.edu/sites/g/files/sbiybj10986/f/ai_index_2019_report.pdf">The AI Index 2019 Annual Report</a></li><li><a href="https://hai.stanford.edu">Stanford Institute for Human-Centered Artificial Intelligence</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 03 Feb 2020 11:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/c37b5cd3/aea1a06c.mp3" length="64283395" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2673</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel and Chris do a deep dive into <a href="https://hai.stanford.edu/sites/g/files/sbiybj10986/f/ai_index_2019_report.pdf">The AI Index 2019 Annual Report</a>, which provides unbiased rigorously-vetted data that one can use “to develop intuitions about the complex field of AI”. Analyzing everything from R&amp;D and technical advancements to education, the economy, and societal considerations, Chris and Daniel lay out this comprehensive report’s key insights about artificial intelligence.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean’s developer cloud makes it simple to launch in the cloud and scale up as you grow. They have an intuitive control panel, predictable pricing, team accounts, worldwide availability with a 99.99% uptime SLA, and 24/7/365 world-class support to back that up. Get your $100 credit at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://hai.stanford.edu/sites/g/files/sbiybj10986/f/ai_index_2019_report.pdf">The AI Index 2019 Annual Report</a></li><li><a href="https://hai.stanford.edu">Stanford Institute for Human-Centered Artificial Intelligence</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Testing ML systems</title>
      <itunes:episode>74</itunes:episode>
      <podcast:episode>74</podcast:episode>
      <itunes:title>Testing ML systems</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/878</guid>
      <link>https://share.transistor.fm/s/75950ab8</link>
      <description>
        <![CDATA[<p>Production ML systems include more than just the model. In these complicated systems, how do you ensure quality over time, especially when you are constantly updating your infrastructure, data and models? Tania Allard joins us to discuss the ins and outs of testing ML systems. Among other things, she presents a simple formula that helps you score your progress towards a robust system and identify problem areas.</p><p><br></p><p>Featuring:</p><ul><li>Tania Allard – <a href="https://www.bitsandchips.me">Website</a>, <a href="https://github.com/trallard">GitHub</a>, <a href="https://x.com/ixek">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://youtu.be/obLHa21U0qo">“What’s your ML score” talk</a></li><li><a href="https://youtu.be/vyAG0bPJ6Es">“Jupyter Notebooks: Friends or Foes?” talk</a></li><li><a href="https://changelog.com/practicalai/51">Joel Grus’s episode: “AI code that facilitates good science”</a></li><li><a href="https://papermill.readthedocs.io/en/latest/">Papermill</a></li><li><a href="https://www.fast.ai/2019/12/02/nbdev/">nbdev</a></li><li><a href="https://github.com/computationalmodelling/nbval">nbval</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1119552222">“DevOps For Dummies” by Emily Freeman</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Production ML systems include more than just the model. In these complicated systems, how do you ensure quality over time, especially when you are constantly updating your infrastructure, data and models? Tania Allard joins us to discuss the ins and outs of testing ML systems. Among other things, she presents a simple formula that helps you score your progress towards a robust system and identify problem areas.</p><p><br></p><p>Featuring:</p><ul><li>Tania Allard – <a href="https://www.bitsandchips.me">Website</a>, <a href="https://github.com/trallard">GitHub</a>, <a href="https://x.com/ixek">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://youtu.be/obLHa21U0qo">“What’s your ML score” talk</a></li><li><a href="https://youtu.be/vyAG0bPJ6Es">“Jupyter Notebooks: Friends or Foes?” talk</a></li><li><a href="https://changelog.com/practicalai/51">Joel Grus’s episode: “AI code that facilitates good science”</a></li><li><a href="https://papermill.readthedocs.io/en/latest/">Papermill</a></li><li><a href="https://www.fast.ai/2019/12/02/nbdev/">nbdev</a></li><li><a href="https://github.com/computationalmodelling/nbval">nbval</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1119552222">“DevOps For Dummies” by Emily Freeman</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 27 Jan 2020 16:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/75950ab8/034f381a.mp3" length="68620895" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2854</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Production ML systems include more than just the model. In these complicated systems, how do you ensure quality over time, especially when you are constantly updating your infrastructure, data and models? Tania Allard joins us to discuss the ins and outs of testing ML systems. Among other things, she presents a simple formula that helps you score your progress towards a robust system and identify problem areas.</p><p><br></p><p>Featuring:</p><ul><li>Tania Allard – <a href="https://www.bitsandchips.me">Website</a>, <a href="https://github.com/trallard">GitHub</a>, <a href="https://x.com/ixek">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://youtu.be/obLHa21U0qo">“What’s your ML score” talk</a></li><li><a href="https://youtu.be/vyAG0bPJ6Es">“Jupyter Notebooks: Friends or Foes?” talk</a></li><li><a href="https://changelog.com/practicalai/51">Joel Grus’s episode: “AI code that facilitates good science”</a></li><li><a href="https://papermill.readthedocs.io/en/latest/">Papermill</a></li><li><a href="https://www.fast.ai/2019/12/02/nbdev/">nbdev</a></li><li><a href="https://github.com/computationalmodelling/nbval">nbval</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1119552222">“DevOps For Dummies” by Emily Freeman</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/trallard" img="https://img.transistorcdn.com/1ppKrCWOsuaoJv5k5R4xE5Q9ztWVcWmNQ72q39-WcsQ/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85MjFk/MjA5NDMyY2E3NWQz/MGUyM2ViMmY5YjAw/YTE3Ni5qcGVn.jpg">Tania Allard</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>AI-driven automation in manufacturing</title>
      <itunes:episode>73</itunes:episode>
      <podcast:episode>73</podcast:episode>
      <itunes:title>AI-driven automation in manufacturing</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/864</guid>
      <link>https://share.transistor.fm/s/7adef20e</link>
      <description>
        <![CDATA[<p>One of the things people most associate with AI is automation, but how is AI actually shaping automation in manufacturing? Costas Boulis from Bright Machines joins us to talk about how they are using AI in various manufacturing processes and in their “microfactories.” He also discusses the unique challenges of developing AI models based on manufacturing data.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Costas Boulis – <a href="https://github.com/costasboulis">GitHub</a>, <a href="https://www.linkedin.com/in/konstantinosboulis">LinkedIn</a>, <a href="https://x.com/kboulis">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.brightmachines.com/">Bright Machines</a></li><li><a href="https://www.brightmachines.com/products/#microfactories">Bright Machines’ Microfactories</a></li><li><a href="https://en.wikipedia.org/wiki/Digital_twin">Digital twins</a></li><li>Other relevant Practical AI episodes: <ul><li><a href="https://changelog.com/practicalai/40">Deep Reinforcement Learning</a></li><li><a href="https://changelog.com/practicalai/64">Robot hands solving Rubik’s cubes</a></li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>One of the things people most associate with AI is automation, but how is AI actually shaping automation in manufacturing? Costas Boulis from Bright Machines joins us to talk about how they are using AI in various manufacturing processes and in their “microfactories.” He also discusses the unique challenges of developing AI models based on manufacturing data.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Costas Boulis – <a href="https://github.com/costasboulis">GitHub</a>, <a href="https://www.linkedin.com/in/konstantinosboulis">LinkedIn</a>, <a href="https://x.com/kboulis">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.brightmachines.com/">Bright Machines</a></li><li><a href="https://www.brightmachines.com/products/#microfactories">Bright Machines’ Microfactories</a></li><li><a href="https://en.wikipedia.org/wiki/Digital_twin">Digital twins</a></li><li>Other relevant Practical AI episodes: <ul><li><a href="https://changelog.com/practicalai/40">Deep Reinforcement Learning</a></li><li><a href="https://changelog.com/practicalai/64">Robot hands solving Rubik’s cubes</a></li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 20 Jan 2020 12:07:58 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/7adef20e/e42986aa.mp3" length="68309185" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2841</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>One of the things people most associate with AI is automation, but how is AI actually shaping automation in manufacturing? Costas Boulis from Bright Machines joins us to talk about how they are using AI in various manufacturing processes and in their “microfactories.” He also discusses the unique challenges of developing AI models based on manufacturing data.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2019. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Costas Boulis – <a href="https://github.com/costasboulis">GitHub</a>, <a href="https://www.linkedin.com/in/konstantinosboulis">LinkedIn</a>, <a href="https://x.com/kboulis">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.brightmachines.com/">Bright Machines</a></li><li><a href="https://www.brightmachines.com/products/#microfactories">Bright Machines’ Microfactories</a></li><li><a href="https://en.wikipedia.org/wiki/Digital_twin">Digital twins</a></li><li>Other relevant Practical AI episodes: <ul><li><a href="https://changelog.com/practicalai/40">Deep Reinforcement Learning</a></li><li><a href="https://changelog.com/practicalai/64">Robot hands solving Rubik’s cubes</a></li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/costasboulis" img="https://img.transistorcdn.com/9HX56pj3IZ1IwXpfmjGrm1HipmB63-Gy36qbCtDjcIY/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wYjM3/NWQ0ZTExYjIwNjJl/OTA1Nzc2YjhkNjQ5/MzQzMi5qcGc.jpg">Costas Boulis</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>How the U.S. military thinks about AI</title>
      <itunes:episode>72</itunes:episode>
      <podcast:episode>72</podcast:episode>
      <itunes:title>How the U.S. military thinks about AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/863</guid>
      <link>https://share.transistor.fm/s/2f2d4693</link>
      <description>
        <![CDATA[<p>Chris and Daniel talk with Greg Allen, Chief of Strategy and Communications at the U.S. Department of Defense (DoD) Joint Artificial Intelligence Center (JAIC). The mission of the JAIC is “to seize upon the transformative potential of artificial intelligence technology for the benefit of America’s national security… The JAIC is the official focal point of the DoD AI Strategy.” So if you want to understand how the U.S. military thinks about artificial intelligence, then this is the episode for you!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Greg Allen – <a href="https://www.linkedin.com/in/gregallen2">LinkedIn</a>, <a href="https://x.com/Gregory_C_Allen">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.ai.mil">U.S. Department of Defense Joint Artificial Intelligence Center</a></li><li><a href="https://media.defense.gov/2019/Feb/12/2002088963/-1/-1/1/SUMMARY-OF-DOD-AI-STRATEGY.PDF">Summary of the 2018 Department of Defense Artificial Intelligence Strategy</a></li><li><a href="https://media.defense.gov/2019/Feb/12/2002088964/-1/-1/1/DOD-AI-STRATEGY-FACT-SHEET.PDF">Fact Sheet: 2018 DoD Artificial Intelligence Strategy</a></li><li><a href="https://www.whitehouse.gov/ai">White House AI Website</a></li><li><a href="https://changelog.com/practicalai/47">Practical AI – Episode #47 - GANs, RL, and transfer learning oh my!</a></li><li><a href="https://deepmind.com/research/case-studies/alphago-the-story-so-far">AlphaGo</a></li><li><a href="https://www.darpa.mil">Defense Advanced Research Projects Agency - DARPA</a></li><li><a href="https://www.iarpa.gov">Intelligence Advanced Research Projects Activity - IARPA</a></li><li><a href="https://en.wikipedia.org/wiki/Law_of_war">Law of War</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Chris and Daniel talk with Greg Allen, Chief of Strategy and Communications at the U.S. Department of Defense (DoD) Joint Artificial Intelligence Center (JAIC). The mission of the JAIC is “to seize upon the transformative potential of artificial intelligence technology for the benefit of America’s national security… The JAIC is the official focal point of the DoD AI Strategy.” So if you want to understand how the U.S. military thinks about artificial intelligence, then this is the episode for you!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Greg Allen – <a href="https://www.linkedin.com/in/gregallen2">LinkedIn</a>, <a href="https://x.com/Gregory_C_Allen">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.ai.mil">U.S. Department of Defense Joint Artificial Intelligence Center</a></li><li><a href="https://media.defense.gov/2019/Feb/12/2002088963/-1/-1/1/SUMMARY-OF-DOD-AI-STRATEGY.PDF">Summary of the 2018 Department of Defense Artificial Intelligence Strategy</a></li><li><a href="https://media.defense.gov/2019/Feb/12/2002088964/-1/-1/1/DOD-AI-STRATEGY-FACT-SHEET.PDF">Fact Sheet: 2018 DoD Artificial Intelligence Strategy</a></li><li><a href="https://www.whitehouse.gov/ai">White House AI Website</a></li><li><a href="https://changelog.com/practicalai/47">Practical AI – Episode #47 - GANs, RL, and transfer learning oh my!</a></li><li><a href="https://deepmind.com/research/case-studies/alphago-the-story-so-far">AlphaGo</a></li><li><a href="https://www.darpa.mil">Defense Advanced Research Projects Agency - DARPA</a></li><li><a href="https://www.iarpa.gov">Intelligence Advanced Research Projects Activity - IARPA</a></li><li><a href="https://en.wikipedia.org/wiki/Law_of_war">Law of War</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 13 Jan 2020 11:45:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/2f2d4693/ec425038.mp3" length="70513957" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2933</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Chris and Daniel talk with Greg Allen, Chief of Strategy and Communications at the U.S. Department of Defense (DoD) Joint Artificial Intelligence Center (JAIC). The mission of the JAIC is “to seize upon the transformative potential of artificial intelligence technology for the benefit of America’s national security… The JAIC is the official focal point of the DoD AI Strategy.” So if you want to understand how the U.S. military thinks about artificial intelligence, then this is the episode for you!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Greg Allen – <a href="https://www.linkedin.com/in/gregallen2">LinkedIn</a>, <a href="https://x.com/Gregory_C_Allen">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.ai.mil">U.S. Department of Defense Joint Artificial Intelligence Center</a></li><li><a href="https://media.defense.gov/2019/Feb/12/2002088963/-1/-1/1/SUMMARY-OF-DOD-AI-STRATEGY.PDF">Summary of the 2018 Department of Defense Artificial Intelligence Strategy</a></li><li><a href="https://media.defense.gov/2019/Feb/12/2002088964/-1/-1/1/DOD-AI-STRATEGY-FACT-SHEET.PDF">Fact Sheet: 2018 DoD Artificial Intelligence Strategy</a></li><li><a href="https://www.whitehouse.gov/ai">White House AI Website</a></li><li><a href="https://changelog.com/practicalai/47">Practical AI – Episode #47 - GANs, RL, and transfer learning oh my!</a></li><li><a href="https://deepmind.com/research/case-studies/alphago-the-story-so-far">AlphaGo</a></li><li><a href="https://www.darpa.mil">Defense Advanced Research Projects Agency - DARPA</a></li><li><a href="https://www.iarpa.gov">Intelligence Advanced Research Projects Activity - IARPA</a></li><li><a href="https://en.wikipedia.org/wiki/Law_of_war">Law of War</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/gregallen" img="https://img.transistorcdn.com/Sm0B5Ad2gbpoxG_Ivu_An32g-D7JKbcd4TG-dWL7Qc0/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xNjFi/MTQ2MzUyMDZlZjc2/NTJlMDRiZTk4YzYx/NDBmYi5qcGVn.jpg">Greg Allen</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>2019's AI top 5</title>
      <itunes:episode>71</itunes:episode>
      <podcast:episode>71</podcast:episode>
      <itunes:title>2019's AI top 5</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/859</guid>
      <link>https://share.transistor.fm/s/3bb0fb91</link>
      <description>
        <![CDATA[<p>Wow, 2019 was an amazing year for AI! In this fully connected episode, Chris and Daniel discuss their list of top 5 notable AI things from 2019. They also discuss the “state of AI” at the end of 2019, and they make some predictions for 2020.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.blog.google/products/search/search-language-understanding-bert/">Google search and BERT</a></li><li><a href="https://openai.com/blog/better-language-models/">Better Language Models and Their Implications</a></li><li><a href="https://transformer.huggingface.co/">Write with Transformer</a></li><li><a href="https://github.com/huggingface/transformers">Hugging Face Transformers</a></li><li><a href="https://techcrunch.com/2019/12/17/hugging-face-raises-15-million-to-build-the-definitive-natural-language-processing-library/">Hugging Face receives 15M in funding</a></li><li><a href="https://openai.com/blog/solving-rubiks-cube/">Solving Rubik’s Cube with a Robot Hand</a></li><li><a href="https://www.technologyreview.com/s/613630/training-a-single-ai-model-can-emit-as-much-carbon-as-five-cars-in-their-lifetimes/">Training a single AI model can emit as much carbon as five cars in their lifetimes</a></li></ul><p>Other relevant Practical AI episodes:</p><ul><li><a href="https://changelog.com/practicalai/64">Robot hands and Rubik’s cubes</a></li><li><a href="https://changelog.com/practicalai/22">BERT: one NLP model to rule them all </a></li><li><a href="https://changelog.com/practicalai/32">OpenAI’s new “dangerous” GPT-2 language model</a></li><li><a href="https://changelog.com/practicalai/35">Social AI with Hugging Face</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Wow, 2019 was an amazing year for AI! In this fully connected episode, Chris and Daniel discuss their list of top 5 notable AI things from 2019. They also discuss the “state of AI” at the end of 2019, and they make some predictions for 2020.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.blog.google/products/search/search-language-understanding-bert/">Google search and BERT</a></li><li><a href="https://openai.com/blog/better-language-models/">Better Language Models and Their Implications</a></li><li><a href="https://transformer.huggingface.co/">Write with Transformer</a></li><li><a href="https://github.com/huggingface/transformers">Hugging Face Transformers</a></li><li><a href="https://techcrunch.com/2019/12/17/hugging-face-raises-15-million-to-build-the-definitive-natural-language-processing-library/">Hugging Face receives 15M in funding</a></li><li><a href="https://openai.com/blog/solving-rubiks-cube/">Solving Rubik’s Cube with a Robot Hand</a></li><li><a href="https://www.technologyreview.com/s/613630/training-a-single-ai-model-can-emit-as-much-carbon-as-five-cars-in-their-lifetimes/">Training a single AI model can emit as much carbon as five cars in their lifetimes</a></li></ul><p>Other relevant Practical AI episodes:</p><ul><li><a href="https://changelog.com/practicalai/64">Robot hands and Rubik’s cubes</a></li><li><a href="https://changelog.com/practicalai/22">BERT: one NLP model to rule them all </a></li><li><a href="https://changelog.com/practicalai/32">OpenAI’s new “dangerous” GPT-2 language model</a></li><li><a href="https://changelog.com/practicalai/35">Social AI with Hugging Face</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 06 Jan 2020 16:30:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/3bb0fb91/a1ce2c1f.mp3" length="83766333" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3486</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Wow, 2019 was an amazing year for AI! In this fully connected episode, Chris and Daniel discuss their list of top 5 notable AI things from 2019. They also discuss the “state of AI” at the end of 2019, and they make some predictions for 2020.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.blog.google/products/search/search-language-understanding-bert/">Google search and BERT</a></li><li><a href="https://openai.com/blog/better-language-models/">Better Language Models and Their Implications</a></li><li><a href="https://transformer.huggingface.co/">Write with Transformer</a></li><li><a href="https://github.com/huggingface/transformers">Hugging Face Transformers</a></li><li><a href="https://techcrunch.com/2019/12/17/hugging-face-raises-15-million-to-build-the-definitive-natural-language-processing-library/">Hugging Face receives 15M in funding</a></li><li><a href="https://openai.com/blog/solving-rubiks-cube/">Solving Rubik’s Cube with a Robot Hand</a></li><li><a href="https://www.technologyreview.com/s/613630/training-a-single-ai-model-can-emit-as-much-carbon-as-five-cars-in-their-lifetimes/">Training a single AI model can emit as much carbon as five cars in their lifetimes</a></li></ul><p>Other relevant Practical AI episodes:</p><ul><li><a href="https://changelog.com/practicalai/64">Robot hands and Rubik’s cubes</a></li><li><a href="https://changelog.com/practicalai/22">BERT: one NLP model to rule them all </a></li><li><a href="https://changelog.com/practicalai/32">OpenAI’s new “dangerous” GPT-2 language model</a></li><li><a href="https://changelog.com/practicalai/35">Social AI with Hugging Face</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>AI for search at Etsy</title>
      <itunes:episode>70</itunes:episode>
      <podcast:episode>70</podcast:episode>
      <itunes:title>AI for search at Etsy</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/853</guid>
      <link>https://share.transistor.fm/s/b12abf7d</link>
      <description>
        <![CDATA[<p>We have all used web and product search technologies for quite some time, but how do they actually work and how is AI impacting search? Andrew Stanton from Etsy joins us to dive into AI-based search methods and to talk about neuroevolution. He also gives us an introduction to Rust for production ML/AI and explains how that community is developing.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Andrew Stanton – <a href="https://github.com/Refefer">GitHub</a>, <a href="https://www.linkedin.com/in/andrew-stanton-00b9207">LinkedIn</a>, <a href="https://x.com/Refefer">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="http://proceedings.mlr.press/v14/chapelle11a/chapelle11a.pdf">Yahoo learning to rank challenge</a></li><li><a href="https://en.wikipedia.org/wiki/Neuroevolution_of_augmenting_topologies">NEAT approach to neuroevolution</a></li><li><a href="https://openai.com/blog/evolution-strategies/">OpenAI evolutionary strategies for Atari</a></li><li><a href="https://www.rust-lang.org/">Rust</a></li><li><a href="https://github.com/PyO3/pyo3">PyO3, Rust binding for the Python interpreter</a></li><li><a href="https://mlsys.org/Conferences/2019/doc/2018/141.pdf">Buzzsaw: A System for High Speed Feature Engineering</a></li><li><a href="https://engineering.linkedin.com/research/linkedin-kdd-2019">LinkedIn at KDD</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We have all used web and product search technologies for quite some time, but how do they actually work and how is AI impacting search? Andrew Stanton from Etsy joins us to dive into AI-based search methods and to talk about neuroevolution. He also gives us an introduction to Rust for production ML/AI and explains how that community is developing.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Andrew Stanton – <a href="https://github.com/Refefer">GitHub</a>, <a href="https://www.linkedin.com/in/andrew-stanton-00b9207">LinkedIn</a>, <a href="https://x.com/Refefer">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="http://proceedings.mlr.press/v14/chapelle11a/chapelle11a.pdf">Yahoo learning to rank challenge</a></li><li><a href="https://en.wikipedia.org/wiki/Neuroevolution_of_augmenting_topologies">NEAT approach to neuroevolution</a></li><li><a href="https://openai.com/blog/evolution-strategies/">OpenAI evolutionary strategies for Atari</a></li><li><a href="https://www.rust-lang.org/">Rust</a></li><li><a href="https://github.com/PyO3/pyo3">PyO3, Rust binding for the Python interpreter</a></li><li><a href="https://mlsys.org/Conferences/2019/doc/2018/141.pdf">Buzzsaw: A System for High Speed Feature Engineering</a></li><li><a href="https://engineering.linkedin.com/research/linkedin-kdd-2019">LinkedIn at KDD</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 23 Dec 2019 12:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/b12abf7d/b8ef4014.mp3" length="66727877" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2775</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We have all used web and product search technologies for quite some time, but how do they actually work and how is AI impacting search? Andrew Stanton from Etsy joins us to dive into AI-based search methods and to talk about neuroevolution. He also gives us an introduction to Rust for production ML/AI and explains how that community is developing.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Andrew Stanton – <a href="https://github.com/Refefer">GitHub</a>, <a href="https://www.linkedin.com/in/andrew-stanton-00b9207">LinkedIn</a>, <a href="https://x.com/Refefer">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="http://proceedings.mlr.press/v14/chapelle11a/chapelle11a.pdf">Yahoo learning to rank challenge</a></li><li><a href="https://en.wikipedia.org/wiki/Neuroevolution_of_augmenting_topologies">NEAT approach to neuroevolution</a></li><li><a href="https://openai.com/blog/evolution-strategies/">OpenAI evolutionary strategies for Atari</a></li><li><a href="https://www.rust-lang.org/">Rust</a></li><li><a href="https://github.com/PyO3/pyo3">PyO3, Rust binding for the Python interpreter</a></li><li><a href="https://mlsys.org/Conferences/2019/doc/2018/141.pdf">Buzzsaw: A System for High Speed Feature Engineering</a></li><li><a href="https://engineering.linkedin.com/research/linkedin-kdd-2019">LinkedIn at KDD</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/andrew-stanton" img="https://img.transistorcdn.com/RpY02AT8WTXSwYsJj2Id1o-NjJkrVw1KxNYX0-lzxEg/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84MWYy/YzcwOGJiYjBmMWZm/NjZkYjI3MjAwYTI3/YTc3MC5qcGVn.jpg">Andrew Stanton</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Escaping the "dark ages" of AI infrastructure</title>
      <itunes:episode>69</itunes:episode>
      <podcast:episode>69</podcast:episode>
      <itunes:title>Escaping the "dark ages" of AI infrastructure</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/852</guid>
      <link>https://share.transistor.fm/s/4329d9ec</link>
      <description>
        <![CDATA[<p>Evan Sparks, from Determined AI, helps us understand why many are still stuck in the “dark ages” of AI infrastructure. He then discusses how we can build better systems by leveraging things like fault tolerant training and AutoML. Finally, Evan explains his optimistic outlook on AI’s economic and environmental health impact.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Evan Sparks – <a href="http://etrain.github.io">Website</a>, <a href="https://github.com/etrain">GitHub</a>, <a href="https://x.com/evanrsparks">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://determined.ai/">Determined AI</a></li><li><a href="https://changelog.com/practicalai/59">Previous episode on Alpha pilot</a></li><li><a href="https://www.forbes.com/sites/evansparks/2019/11/14/ai-leadership-and-the-positive-impacts-on-economy-privacy-environmental-health/#2e0243a9327e">Blog post - AI Leadership And The Positive Impacts On Economy, Privacy, Environmental Health</a></li><li><a href="https://determined.ai/blog/announcing-the-future-of-ai-infrastructure/">Blog post - Announcing the future of AI infrastructure</a></li><li><a href="https://spark.apache.org/">Apache Spark</a></li><li><a href="https://spark.apache.org/mllib/">MLlib</a></li><li><a href="https://antiquecandleco.com/">Antique Candle Co.</a></li><li><a href="https://changelog.com/practicalai/51">Joel Grus on AI code that facilitates good science</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Evan Sparks, from Determined AI, helps us understand why many are still stuck in the “dark ages” of AI infrastructure. He then discusses how we can build better systems by leveraging things like fault tolerant training and AutoML. Finally, Evan explains his optimistic outlook on AI’s economic and environmental health impact.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Evan Sparks – <a href="http://etrain.github.io">Website</a>, <a href="https://github.com/etrain">GitHub</a>, <a href="https://x.com/evanrsparks">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://determined.ai/">Determined AI</a></li><li><a href="https://changelog.com/practicalai/59">Previous episode on Alpha pilot</a></li><li><a href="https://www.forbes.com/sites/evansparks/2019/11/14/ai-leadership-and-the-positive-impacts-on-economy-privacy-environmental-health/#2e0243a9327e">Blog post - AI Leadership And The Positive Impacts On Economy, Privacy, Environmental Health</a></li><li><a href="https://determined.ai/blog/announcing-the-future-of-ai-infrastructure/">Blog post - Announcing the future of AI infrastructure</a></li><li><a href="https://spark.apache.org/">Apache Spark</a></li><li><a href="https://spark.apache.org/mllib/">MLlib</a></li><li><a href="https://antiquecandleco.com/">Antique Candle Co.</a></li><li><a href="https://changelog.com/practicalai/51">Joel Grus on AI code that facilitates good science</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 16 Dec 2019 12:45:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/4329d9ec/dec7bb54.mp3" length="72143451" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3001</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Evan Sparks, from Determined AI, helps us understand why many are still stuck in the “dark ages” of AI infrastructure. He then discusses how we can build better systems by leveraging things like fault tolerant training and AutoML. Finally, Evan explains his optimistic outlook on AI’s economic and environmental health impact.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Evan Sparks – <a href="http://etrain.github.io">Website</a>, <a href="https://github.com/etrain">GitHub</a>, <a href="https://x.com/evanrsparks">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://determined.ai/">Determined AI</a></li><li><a href="https://changelog.com/practicalai/59">Previous episode on Alpha pilot</a></li><li><a href="https://www.forbes.com/sites/evansparks/2019/11/14/ai-leadership-and-the-positive-impacts-on-economy-privacy-environmental-health/#2e0243a9327e">Blog post - AI Leadership And The Positive Impacts On Economy, Privacy, Environmental Health</a></li><li><a href="https://determined.ai/blog/announcing-the-future-of-ai-infrastructure/">Blog post - Announcing the future of AI infrastructure</a></li><li><a href="https://spark.apache.org/">Apache Spark</a></li><li><a href="https://spark.apache.org/mllib/">MLlib</a></li><li><a href="https://antiquecandleco.com/">Antique Candle Co.</a></li><li><a href="https://changelog.com/practicalai/51">Joel Grus on AI code that facilitates good science</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/evanrsparks" img="https://img.transistorcdn.com/nmQYuMW3YSSi5D8bTAQr_e3W3t26qrBb88s9Y7X9Iz8/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9iZDNk/YzQ2OGNmYzU5MGE5/MDJhYzhhMGU4Zjlh/MWUzOC5qcGc.jpg">Evan Sparks</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Modern NLP with spaCy</title>
      <itunes:episode>68</itunes:episode>
      <podcast:episode>68</podcast:episode>
      <itunes:title>Modern NLP with spaCy</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/846</guid>
      <link>https://share.transistor.fm/s/020a47bd</link>
      <description>
        <![CDATA[<p>SpaCy is awesome for NLP! It’s easy to use, has widespread adoption, is open source, and integrates the latest language models. Ines Montani and Matthew Honnibal (core developers of spaCy and co-founders of Explosion) join us to discuss the history of the project, its capabilities, and the latest trends in NLP. We also dig into the practicalities of taking NLP workflows to production. You don’t want to miss this episode!</p><p><br></p><p>Featuring:</p><ul><li>Ines Montani – <a href="https://github.com/ines">GitHub</a>, <a href="https://x.com/_inesmontani">X</a></li><li>Matthew Honnibal – <a href="https://github.com/honnibal">GitHub</a>, <a href="https://x.com/honnibal">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://spacy.io/">SpaCy</a></li><li><a href="https://course.spacy.io/">Advanced NLP with SpaCy course</a></li><li><a href="https://github.com/explosion/thinc">Thinc</a></li><li><a href="https://explosion.ai/">Explosion AI</a></li><li><a href="https://prodi.gy/">Prodigy</a></li><li><a href="https://www.fast.ai/">Fast.ai</a></li><li><a href="https://www.deeplearning.ai/machine-learning-yearning/">Machine learning yearning</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>SpaCy is awesome for NLP! It’s easy to use, has widespread adoption, is open source, and integrates the latest language models. Ines Montani and Matthew Honnibal (core developers of spaCy and co-founders of Explosion) join us to discuss the history of the project, its capabilities, and the latest trends in NLP. We also dig into the practicalities of taking NLP workflows to production. You don’t want to miss this episode!</p><p><br></p><p>Featuring:</p><ul><li>Ines Montani – <a href="https://github.com/ines">GitHub</a>, <a href="https://x.com/_inesmontani">X</a></li><li>Matthew Honnibal – <a href="https://github.com/honnibal">GitHub</a>, <a href="https://x.com/honnibal">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://spacy.io/">SpaCy</a></li><li><a href="https://course.spacy.io/">Advanced NLP with SpaCy course</a></li><li><a href="https://github.com/explosion/thinc">Thinc</a></li><li><a href="https://explosion.ai/">Explosion AI</a></li><li><a href="https://prodi.gy/">Prodigy</a></li><li><a href="https://www.fast.ai/">Fast.ai</a></li><li><a href="https://www.deeplearning.ai/machine-learning-yearning/">Machine learning yearning</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 09 Dec 2019 14:35:36 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/020a47bd/4113806c.mp3" length="81370017" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3386</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>SpaCy is awesome for NLP! It’s easy to use, has widespread adoption, is open source, and integrates the latest language models. Ines Montani and Matthew Honnibal (core developers of spaCy and co-founders of Explosion) join us to discuss the history of the project, its capabilities, and the latest trends in NLP. We also dig into the practicalities of taking NLP workflows to production. You don’t want to miss this episode!</p><p><br></p><p>Featuring:</p><ul><li>Ines Montani – <a href="https://github.com/ines">GitHub</a>, <a href="https://x.com/_inesmontani">X</a></li><li>Matthew Honnibal – <a href="https://github.com/honnibal">GitHub</a>, <a href="https://x.com/honnibal">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://spacy.io/">SpaCy</a></li><li><a href="https://course.spacy.io/">Advanced NLP with SpaCy course</a></li><li><a href="https://github.com/explosion/thinc">Thinc</a></li><li><a href="https://explosion.ai/">Explosion AI</a></li><li><a href="https://prodi.gy/">Prodigy</a></li><li><a href="https://www.fast.ai/">Fast.ai</a></li><li><a href="https://www.deeplearning.ai/machine-learning-yearning/">Machine learning yearning</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/ines" img="https://img.transistorcdn.com/DDB_MzAo32_2OO8vQ6xFIxE7wgjEv6x52RqhuA78Xo0/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80NzVh/YzRlYWVmYjgxNGQx/NmY0ZTU1YzM3NTVj/MDE1ZC5qcGc.jpg">Ines Montani</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/honnibal" img="https://img.transistorcdn.com/M_n1ag-wfggPYBGuDJaRfyIgsXfEVa3epEFNEfQkhvU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82ODA0/MmRlMGM0YzU1MGQx/NjQ1MmZhYzlmYTZi/MTkyNS5wbmc.jpg">Matthew Honnibal</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Making GANs practical</title>
      <itunes:episode>67</itunes:episode>
      <podcast:episode>67</podcast:episode>
      <itunes:title>Making GANs practical</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/845</guid>
      <link>https://share.transistor.fm/s/4e919eac</link>
      <description>
        <![CDATA[<p>GANs are at the center of AI hype. However, they are also starting to be extremely practical and be used to develop solutions to real problems. Jakub Langr and Vladimir Bok join us for a deep dive into GANs and their application. We discuss the basics of GANs, their various flavors, and open research problems.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Jakub Langr – <a href="http://jakublangr.com/">Website</a>, <a href="https://github.com/jakubLangr">GitHub</a>, <a href="https://www.linkedin.com/in/jakublangr">LinkedIn</a>, <a href="https://x.com/langrjakub">X</a></li><li>Vladimir Bok – <a href="https://vladimirbok.com/">Website</a>, <a href="https://github.com/vbok">GitHub</a>, <a href="https://www.linkedin.com/in/vladimir-bok">LinkedIn</a>, <a href="https://x.com/vladimirbok">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://papers.nips.cc/paper/5423-generative-adversarial-nets.pdf">Ian Goodfellow NeurIPS paper 2014</a></li><li><a href="https://arxiv.org/pdf/1909.11646.pdf">GAN TTS</a></li></ul><p>Books</p><ul><li><a href="https://www.manning.com/books/gans-in-action">“GANs in Action” by Jakub Langr and Vladimir Bok</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>GANs are at the center of AI hype. However, they are also starting to be extremely practical and be used to develop solutions to real problems. Jakub Langr and Vladimir Bok join us for a deep dive into GANs and their application. We discuss the basics of GANs, their various flavors, and open research problems.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Jakub Langr – <a href="http://jakublangr.com/">Website</a>, <a href="https://github.com/jakubLangr">GitHub</a>, <a href="https://www.linkedin.com/in/jakublangr">LinkedIn</a>, <a href="https://x.com/langrjakub">X</a></li><li>Vladimir Bok – <a href="https://vladimirbok.com/">Website</a>, <a href="https://github.com/vbok">GitHub</a>, <a href="https://www.linkedin.com/in/vladimir-bok">LinkedIn</a>, <a href="https://x.com/vladimirbok">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://papers.nips.cc/paper/5423-generative-adversarial-nets.pdf">Ian Goodfellow NeurIPS paper 2014</a></li><li><a href="https://arxiv.org/pdf/1909.11646.pdf">GAN TTS</a></li></ul><p>Books</p><ul><li><a href="https://www.manning.com/books/gans-in-action">“GANs in Action” by Jakub Langr and Vladimir Bok</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 02 Dec 2019 13:10:23 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/4e919eac/364826b9.mp3" length="85180479" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3545</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>GANs are at the center of AI hype. However, they are also starting to be extremely practical and be used to develop solutions to real problems. Jakub Langr and Vladimir Bok join us for a deep dive into GANs and their application. We discuss the basics of GANs, their various flavors, and open research problems.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Jakub Langr – <a href="http://jakublangr.com/">Website</a>, <a href="https://github.com/jakubLangr">GitHub</a>, <a href="https://www.linkedin.com/in/jakublangr">LinkedIn</a>, <a href="https://x.com/langrjakub">X</a></li><li>Vladimir Bok – <a href="https://vladimirbok.com/">Website</a>, <a href="https://github.com/vbok">GitHub</a>, <a href="https://www.linkedin.com/in/vladimir-bok">LinkedIn</a>, <a href="https://x.com/vladimirbok">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://papers.nips.cc/paper/5423-generative-adversarial-nets.pdf">Ian Goodfellow NeurIPS paper 2014</a></li><li><a href="https://arxiv.org/pdf/1909.11646.pdf">GAN TTS</a></li></ul><p>Books</p><ul><li><a href="https://www.manning.com/books/gans-in-action">“GANs in Action” by Jakub Langr and Vladimir Bok</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/jakublangr" img="https://img.transistorcdn.com/fBX7GeJ-Z1bWsbUXP2Rt0xBB1-_P8IjBbquulMGePW8/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jMmRj/ZWMzYTQxMGQ4Y2Jl/MjY1ZTI3MjBiZGZm/ZmRhZC5qcGVn.jpg">Jakub Langr</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/vladimirbok" img="https://img.transistorcdn.com/mYywEjOhsNVQVMntMt7eXouENDrGrPdZWnY_KktNFfU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jMmQy/NjFhZjZiMWExZjNk/YjdlZDAzZjI0MmFm/NjVjOC5qcGc.jpg">Vladimir Bok</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Build custom ML tools with Streamlit</title>
      <itunes:episode>66</itunes:episode>
      <podcast:episode>66</podcast:episode>
      <itunes:title>Build custom ML tools with Streamlit</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/842</guid>
      <link>https://share.transistor.fm/s/ecbd3038</link>
      <description>
        <![CDATA[<p>Streamlit recently burst onto the scene with their intuitive, open source solution for building custom ML/AI tools. It allows data scientists and ML engineers to rapidly build internal or external UIs without spending time on frontend development. In this episode, Adrien Treuille joins us to discuss ML/AI app development in general and Streamlit. We talk about the practicalities of working with Streamlit along with its seemingly instant adoption by AI2, Stripe, Stitch Fix, Uber, and Twitter.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="http://learnai.infinite.red/">AI Demystified (FREE five-day mini-course)</a> – Get an introduction to the most important concepts, types, and business applications for AI and Machine Learning. This course is 100% free. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Adrien Treuille – <a href="https://www.linkedin.com/in/adrien-treuille-52215718">LinkedIn</a>, <a href="https://x.com/myelbows">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://eternagame.org">Eterna Game</a></li><li><a href="https://streamlit.io/">Streamlit</a></li><li><a href="https://www.google.com/search?q=streamlit+medium">Streamlit articles</a></li><li><a href="https://github.com/MarcSkovMadsen/awesome-streamlit">Awesome Streamlit</a></li><li><a href="https://shiny.rstudio.com/">R Shiny</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Streamlit recently burst onto the scene with their intuitive, open source solution for building custom ML/AI tools. It allows data scientists and ML engineers to rapidly build internal or external UIs without spending time on frontend development. In this episode, Adrien Treuille joins us to discuss ML/AI app development in general and Streamlit. We talk about the practicalities of working with Streamlit along with its seemingly instant adoption by AI2, Stripe, Stitch Fix, Uber, and Twitter.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="http://learnai.infinite.red/">AI Demystified (FREE five-day mini-course)</a> – Get an introduction to the most important concepts, types, and business applications for AI and Machine Learning. This course is 100% free. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Adrien Treuille – <a href="https://www.linkedin.com/in/adrien-treuille-52215718">LinkedIn</a>, <a href="https://x.com/myelbows">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://eternagame.org">Eterna Game</a></li><li><a href="https://streamlit.io/">Streamlit</a></li><li><a href="https://www.google.com/search?q=streamlit+medium">Streamlit articles</a></li><li><a href="https://github.com/MarcSkovMadsen/awesome-streamlit">Awesome Streamlit</a></li><li><a href="https://shiny.rstudio.com/">R Shiny</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 25 Nov 2019 11:29:15 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/ecbd3038/5f6491bf.mp3" length="63875851" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2656</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Streamlit recently burst onto the scene with their intuitive, open source solution for building custom ML/AI tools. It allows data scientists and ML engineers to rapidly build internal or external UIs without spending time on frontend development. In this episode, Adrien Treuille joins us to discuss ML/AI app development in general and Streamlit. We talk about the practicalities of working with Streamlit along with its seemingly instant adoption by AI2, Stripe, Stitch Fix, Uber, and Twitter.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="http://learnai.infinite.red/">AI Demystified (FREE five-day mini-course)</a> – Get an introduction to the most important concepts, types, and business applications for AI and Machine Learning. This course is 100% free. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Adrien Treuille – <a href="https://www.linkedin.com/in/adrien-treuille-52215718">LinkedIn</a>, <a href="https://x.com/myelbows">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://eternagame.org">Eterna Game</a></li><li><a href="https://streamlit.io/">Streamlit</a></li><li><a href="https://www.google.com/search?q=streamlit+medium">Streamlit articles</a></li><li><a href="https://github.com/MarcSkovMadsen/awesome-streamlit">Awesome Streamlit</a></li><li><a href="https://shiny.rstudio.com/">R Shiny</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/adrien" img="https://img.transistorcdn.com/tJ3QgUF-iv4Hcx-xQRVYz0lESURkhIcHzUMsqfQA0nQ/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83YWJl/ZDJkMTgwOTJmMzA1/NGFlMzBmYTIyODg1/OThlMy5wbmc.jpg">Adrien Treuille</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Intelligent systems and knowledge graphs</title>
      <itunes:episode>65</itunes:episode>
      <podcast:episode>65</podcast:episode>
      <itunes:title>Intelligent systems and knowledge graphs</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/837</guid>
      <link>https://share.transistor.fm/s/0f938d24</link>
      <description>
        <![CDATA[<p>There’s a lot of hype about knowledge graphs and AI-methods for building or using them, but what exactly is a knowledge graph? How is it different from a database or other data store? How can I build my own knowledge graph? James Fletcher from Grakn Labs helps us understand knowledge graphs in general and some practical steps towards creating your own. He also discusses graph neural networks and the future of graph-augmented methods.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="http://learnai.infinite.red/">AI Demystified (FREE five-day mini-course)</a> – Get an introduction to the most important concepts, types, and business applications for AI and Machine Learning. This course is 100% free. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>James Fletcher – <a href="https://www.linkedin.com/in/james-fletcher-9289156a">LinkedIn</a>, <a href="https://x.com/jmsfltchr">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://grakn.ai/">Grakn Labs</a></li><li><a href="http://snap.stanford.edu/graphsage/">GraphSAGE</a></li><li><a href="https://en.wikipedia.org/wiki/Prolog">Prologue</a></li><li><a href="https://github.com/deepmind/graph_nets">Graph Nets (TensorFlow)</a></li><li><a href="https://github.com/graknlabs/kglib">Grakn KGLIB</a></li><li><a href="https://github.com/graknlabs/examples">Grakn example projects and tutorials</a></li><li><a href="https://blog.grakn.ai/">Grakn Blog</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>There’s a lot of hype about knowledge graphs and AI-methods for building or using them, but what exactly is a knowledge graph? How is it different from a database or other data store? How can I build my own knowledge graph? James Fletcher from Grakn Labs helps us understand knowledge graphs in general and some practical steps towards creating your own. He also discusses graph neural networks and the future of graph-augmented methods.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="http://learnai.infinite.red/">AI Demystified (FREE five-day mini-course)</a> – Get an introduction to the most important concepts, types, and business applications for AI and Machine Learning. This course is 100% free. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>James Fletcher – <a href="https://www.linkedin.com/in/james-fletcher-9289156a">LinkedIn</a>, <a href="https://x.com/jmsfltchr">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://grakn.ai/">Grakn Labs</a></li><li><a href="http://snap.stanford.edu/graphsage/">GraphSAGE</a></li><li><a href="https://en.wikipedia.org/wiki/Prolog">Prologue</a></li><li><a href="https://github.com/deepmind/graph_nets">Graph Nets (TensorFlow)</a></li><li><a href="https://github.com/graknlabs/kglib">Grakn KGLIB</a></li><li><a href="https://github.com/graknlabs/examples">Grakn example projects and tutorials</a></li><li><a href="https://blog.grakn.ai/">Grakn Blog</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 18 Nov 2019 12:08:37 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/0f938d24/6b85fc99.mp3" length="82444897" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3430</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>There’s a lot of hype about knowledge graphs and AI-methods for building or using them, but what exactly is a knowledge graph? How is it different from a database or other data store? How can I build my own knowledge graph? James Fletcher from Grakn Labs helps us understand knowledge graphs in general and some practical steps towards creating your own. He also discusses graph neural networks and the future of graph-augmented methods.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="http://learnai.infinite.red/">AI Demystified (FREE five-day mini-course)</a> – Get an introduction to the most important concepts, types, and business applications for AI and Machine Learning. This course is 100% free. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>James Fletcher – <a href="https://www.linkedin.com/in/james-fletcher-9289156a">LinkedIn</a>, <a href="https://x.com/jmsfltchr">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://grakn.ai/">Grakn Labs</a></li><li><a href="http://snap.stanford.edu/graphsage/">GraphSAGE</a></li><li><a href="https://en.wikipedia.org/wiki/Prolog">Prologue</a></li><li><a href="https://github.com/deepmind/graph_nets">Graph Nets (TensorFlow)</a></li><li><a href="https://github.com/graknlabs/kglib">Grakn KGLIB</a></li><li><a href="https://github.com/graknlabs/examples">Grakn example projects and tutorials</a></li><li><a href="https://blog.grakn.ai/">Grakn Blog</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/jmsfltchr" img="https://img.transistorcdn.com/FKMX3SPeJpOXXVy5bcyYabDvV0t75FMJJhUA1Vr_1kY/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mMmJk/YWQ0Y2RhZTg0M2Q0/OGU5MjM5YjUxYjRj/MGNhMS5qcGc.jpg">James Fletcher</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Robot hands solving Rubik's cubes</title>
      <itunes:episode>64</itunes:episode>
      <podcast:episode>64</podcast:episode>
      <itunes:title>Robot hands solving Rubik's cubes</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/b689d135</link>
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        <![CDATA[<p>Everyone is talking about it. OpenAI trained a pair of neural nets that enable a robot hand to solve a Rubik’s cube. That is super dope! The results have also generated a lot of commentary and controversy, mainly related to the way in which the results were represented on OpenAI’s blog. We dig into all of this in on today’s Fully Connected episode, and we point you to a few places where you can learn more about reinforcement learning.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="http://learnai.infinite.red/">AI Demystified (FREE five-day mini-course)</a> – Get an introduction to the most important concepts, types, and business applications for AI and Machine Learning. This course is 100% free. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>OpenAI’s result of solving a Rubik’s Cube with a robotic hand: <ul><li><a href="https://openai.com/blog/solving-rubiks-cube/">Blog post</a></li><li><a href="https://arxiv.org/abs/1910.07113">Paper</a></li></ul></li><li><a href="https://twitter.com/GaryMarcus/status/1185679169360809984">Example push back on Twitter</a></li></ul><p>Learning resources:</p><ul><li><a href="http://gym.openai.com/docs/">OpenAI Gym Tutorial</a></li><li><a href="https://pytorch.org/tutorials/intermediate/reinforcement_q_learning.html">PyTorch RL Tutorial</a></li><li><a href="https://github.com/tensorflow/agents">Tensorflow RL Tutorials</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Everyone is talking about it. OpenAI trained a pair of neural nets that enable a robot hand to solve a Rubik’s cube. That is super dope! The results have also generated a lot of commentary and controversy, mainly related to the way in which the results were represented on OpenAI’s blog. We dig into all of this in on today’s Fully Connected episode, and we point you to a few places where you can learn more about reinforcement learning.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="http://learnai.infinite.red/">AI Demystified (FREE five-day mini-course)</a> – Get an introduction to the most important concepts, types, and business applications for AI and Machine Learning. This course is 100% free. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>OpenAI’s result of solving a Rubik’s Cube with a robotic hand: <ul><li><a href="https://openai.com/blog/solving-rubiks-cube/">Blog post</a></li><li><a href="https://arxiv.org/abs/1910.07113">Paper</a></li></ul></li><li><a href="https://twitter.com/GaryMarcus/status/1185679169360809984">Example push back on Twitter</a></li></ul><p>Learning resources:</p><ul><li><a href="http://gym.openai.com/docs/">OpenAI Gym Tutorial</a></li><li><a href="https://pytorch.org/tutorials/intermediate/reinforcement_q_learning.html">PyTorch RL Tutorial</a></li><li><a href="https://github.com/tensorflow/agents">Tensorflow RL Tutorials</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 11 Nov 2019 11:07:15 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/b689d135/d69b064a.mp3" length="64316549" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2674</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Everyone is talking about it. OpenAI trained a pair of neural nets that enable a robot hand to solve a Rubik’s cube. That is super dope! The results have also generated a lot of commentary and controversy, mainly related to the way in which the results were represented on OpenAI’s blog. We dig into all of this in on today’s Fully Connected episode, and we point you to a few places where you can learn more about reinforcement learning.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="http://learnai.infinite.red/">AI Demystified (FREE five-day mini-course)</a> – Get an introduction to the most important concepts, types, and business applications for AI and Machine Learning. This course is 100% free. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>OpenAI’s result of solving a Rubik’s Cube with a robotic hand: <ul><li><a href="https://openai.com/blog/solving-rubiks-cube/">Blog post</a></li><li><a href="https://arxiv.org/abs/1910.07113">Paper</a></li></ul></li><li><a href="https://twitter.com/GaryMarcus/status/1185679169360809984">Example push back on Twitter</a></li></ul><p>Learning resources:</p><ul><li><a href="http://gym.openai.com/docs/">OpenAI Gym Tutorial</a></li><li><a href="https://pytorch.org/tutorials/intermediate/reinforcement_q_learning.html">PyTorch RL Tutorial</a></li><li><a href="https://github.com/tensorflow/agents">Tensorflow RL Tutorials</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Open source data labeling tools</title>
      <itunes:episode>63</itunes:episode>
      <podcast:episode>63</podcast:episode>
      <itunes:title>Open source data labeling tools</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/827</guid>
      <link>https://share.transistor.fm/s/d97b503f</link>
      <description>
        <![CDATA[<p>What’s the most practical of practical AI things? Data labeling of course! It’s also one of the most time consuming and error prone processes that we deal with in AI development. Michael Malyuk of Heartex and Label Studio joins us to discuss various data labeling challenges and open source tooling to help us overcome those challenges.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean Managed Kubernetes</a> – DigitalOcean makes it super simple to launch a Kubernetes cluster in minutes. Developers can now run and scale container-based workloads with ease on the DigitalOcean platform. Learn more and get started for free with a $50 credit at <a href="https://do.co/changelog">do.co/changelog</a></li><li><a href="https://events19.linuxfoundation.org/events/kubecon-cloudnativecon-europe-2020/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=kceugotime">KubeCon + CloudNativeCon (Amsterdam 2020)</a> – Get an additional 10% off EARLYBIRD registration pricing with the code KCEUGOTIME — ends November 8th! <a href="https://events19.linuxfoundation.org/events/kubecon-cloudnativecon-europe-2020/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=kceugotime">Learn more and register</a>. </li><li><a href="http://learnai.infinite.red/">AI Demystified (FREE five-day mini-course)</a> – Get an introduction to the most important concepts, types, and business applications for AI and Machine Learning. This course is 100% free. </li></ul><p>Featuring:</p><ul><li>Michael Malyuk – <a href="https://www.linkedin.com/in/mikhail-malyuk">LinkedIn</a>, <a href="https://x.com/michaelmalyuk">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.heartex.ai/">Heartex</a></li><li><a href="https://labelstud.io/">Label Studio</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1558601910">“Paradigms of Artificial Intelligence Programming” by Peter Norvig</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>What’s the most practical of practical AI things? Data labeling of course! It’s also one of the most time consuming and error prone processes that we deal with in AI development. Michael Malyuk of Heartex and Label Studio joins us to discuss various data labeling challenges and open source tooling to help us overcome those challenges.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean Managed Kubernetes</a> – DigitalOcean makes it super simple to launch a Kubernetes cluster in minutes. Developers can now run and scale container-based workloads with ease on the DigitalOcean platform. Learn more and get started for free with a $50 credit at <a href="https://do.co/changelog">do.co/changelog</a></li><li><a href="https://events19.linuxfoundation.org/events/kubecon-cloudnativecon-europe-2020/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=kceugotime">KubeCon + CloudNativeCon (Amsterdam 2020)</a> – Get an additional 10% off EARLYBIRD registration pricing with the code KCEUGOTIME — ends November 8th! <a href="https://events19.linuxfoundation.org/events/kubecon-cloudnativecon-europe-2020/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=kceugotime">Learn more and register</a>. </li><li><a href="http://learnai.infinite.red/">AI Demystified (FREE five-day mini-course)</a> – Get an introduction to the most important concepts, types, and business applications for AI and Machine Learning. This course is 100% free. </li></ul><p>Featuring:</p><ul><li>Michael Malyuk – <a href="https://www.linkedin.com/in/mikhail-malyuk">LinkedIn</a>, <a href="https://x.com/michaelmalyuk">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.heartex.ai/">Heartex</a></li><li><a href="https://labelstud.io/">Label Studio</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1558601910">“Paradigms of Artificial Intelligence Programming” by Peter Norvig</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 05 Nov 2019 07:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2661</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>What’s the most practical of practical AI things? Data labeling of course! It’s also one of the most time consuming and error prone processes that we deal with in AI development. Michael Malyuk of Heartex and Label Studio joins us to discuss various data labeling challenges and open source tooling to help us overcome those challenges.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean Managed Kubernetes</a> – DigitalOcean makes it super simple to launch a Kubernetes cluster in minutes. Developers can now run and scale container-based workloads with ease on the DigitalOcean platform. Learn more and get started for free with a $50 credit at <a href="https://do.co/changelog">do.co/changelog</a></li><li><a href="https://events19.linuxfoundation.org/events/kubecon-cloudnativecon-europe-2020/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=kceugotime">KubeCon + CloudNativeCon (Amsterdam 2020)</a> – Get an additional 10% off EARLYBIRD registration pricing with the code KCEUGOTIME — ends November 8th! <a href="https://events19.linuxfoundation.org/events/kubecon-cloudnativecon-europe-2020/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=kceugotime">Learn more and register</a>. </li><li><a href="http://learnai.infinite.red/">AI Demystified (FREE five-day mini-course)</a> – Get an introduction to the most important concepts, types, and business applications for AI and Machine Learning. This course is 100% free. </li></ul><p>Featuring:</p><ul><li>Michael Malyuk – <a href="https://www.linkedin.com/in/mikhail-malyuk">LinkedIn</a>, <a href="https://x.com/michaelmalyuk">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.heartex.ai/">Heartex</a></li><li><a href="https://labelstud.io/">Label Studio</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1558601910">“Paradigms of Artificial Intelligence Programming” by Peter Norvig</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/michaelmalyuk" img="https://img.transistorcdn.com/zrVG88QPqB3g21lg0ViXjfSgK3AwMmOxkKVBUBYTBv4/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yY2Q1/OTUyMWQ5YzUzZjk2/MDgzNWQwYWMwMTg1/YWJhZi5qcGc.jpg">Michael Malyuk</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>It's time to talk time series</title>
      <itunes:episode>62</itunes:episode>
      <podcast:episode>62</podcast:episode>
      <itunes:title>It's time to talk time series</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/826</guid>
      <link>https://share.transistor.fm/s/139d73d7</link>
      <description>
        <![CDATA[<p>Times series data is everywhere! I mean, seriously, try to think of some data that isn’t a time series. You have stock prices and weather data, which are the classics, but you also have a time series of images on your phone, time series log data coming off of your servers, and much more. In this episode, Anais from InfluxData helps us understand the range of methods and problems related to time series data. She also gives her perspective on when statistical methods might perform better than neural nets or at least be a more reasonable choice.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://events.linuxfoundation.org/events/kubecon-cloudnativecon-north-america-2019/?utm_source=changelog&amp;utm_medium=newsletter&amp;utm_campaign=kcnapracticalai19">KubeCon + CloudNativeCon (San Diego)</a> – The Cloud Native Computing Foundation’s flagship Kubernetes community conference which gathers adopters and technologists from leading open source and cloud native communities. <a href="https://events.linuxfoundation.org/events/kubecon-cloudnativecon-north-america-2019/?utm_source=changelog&amp;utm_medium=newsletter&amp;utm_campaign=kcnapracticalai19">Learn more and register</a> — get 10% off with the code KCNAPRACTICALAI19 Feel free to use the <a href="https://events.linuxfoundation.org/events/kubecon-cloudnativecon-north-america-2019/attend/convince-your-boss/">Convince Your Boss</a> letter in part or in full so you can your team can attend. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Anais Dotis-Georgiou – <a href="https://x.com/anaisdotis">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.influxdata.com/">InfluxData</a></li><li><a href="https://github.com/influxdata/influxdb">InfluxDB</a></li><li><a href="https://en.wikipedia.org/wiki/Makridakis_Competitions">M-Competition benchmarks</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Times series data is everywhere! I mean, seriously, try to think of some data that isn’t a time series. You have stock prices and weather data, which are the classics, but you also have a time series of images on your phone, time series log data coming off of your servers, and much more. In this episode, Anais from InfluxData helps us understand the range of methods and problems related to time series data. She also gives her perspective on when statistical methods might perform better than neural nets or at least be a more reasonable choice.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://events.linuxfoundation.org/events/kubecon-cloudnativecon-north-america-2019/?utm_source=changelog&amp;utm_medium=newsletter&amp;utm_campaign=kcnapracticalai19">KubeCon + CloudNativeCon (San Diego)</a> – The Cloud Native Computing Foundation’s flagship Kubernetes community conference which gathers adopters and technologists from leading open source and cloud native communities. <a href="https://events.linuxfoundation.org/events/kubecon-cloudnativecon-north-america-2019/?utm_source=changelog&amp;utm_medium=newsletter&amp;utm_campaign=kcnapracticalai19">Learn more and register</a> — get 10% off with the code KCNAPRACTICALAI19 Feel free to use the <a href="https://events.linuxfoundation.org/events/kubecon-cloudnativecon-north-america-2019/attend/convince-your-boss/">Convince Your Boss</a> letter in part or in full so you can your team can attend. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Anais Dotis-Georgiou – <a href="https://x.com/anaisdotis">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.influxdata.com/">InfluxData</a></li><li><a href="https://github.com/influxdata/influxdb">InfluxDB</a></li><li><a href="https://en.wikipedia.org/wiki/Makridakis_Competitions">M-Competition benchmarks</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 28 Oct 2019 14:57:57 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/139d73d7/9c656161.mp3" length="61719267" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2566</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Times series data is everywhere! I mean, seriously, try to think of some data that isn’t a time series. You have stock prices and weather data, which are the classics, but you also have a time series of images on your phone, time series log data coming off of your servers, and much more. In this episode, Anais from InfluxData helps us understand the range of methods and problems related to time series data. She also gives her perspective on when statistical methods might perform better than neural nets or at least be a more reasonable choice.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://events.linuxfoundation.org/events/kubecon-cloudnativecon-north-america-2019/?utm_source=changelog&amp;utm_medium=newsletter&amp;utm_campaign=kcnapracticalai19">KubeCon + CloudNativeCon (San Diego)</a> – The Cloud Native Computing Foundation’s flagship Kubernetes community conference which gathers adopters and technologists from leading open source and cloud native communities. <a href="https://events.linuxfoundation.org/events/kubecon-cloudnativecon-north-america-2019/?utm_source=changelog&amp;utm_medium=newsletter&amp;utm_campaign=kcnapracticalai19">Learn more and register</a> — get 10% off with the code KCNAPRACTICALAI19 Feel free to use the <a href="https://events.linuxfoundation.org/events/kubecon-cloudnativecon-north-america-2019/attend/convince-your-boss/">Convince Your Boss</a> letter in part or in full so you can your team can attend. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Anais Dotis-Georgiou – <a href="https://x.com/anaisdotis">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.influxdata.com/">InfluxData</a></li><li><a href="https://github.com/influxdata/influxdb">InfluxDB</a></li><li><a href="https://en.wikipedia.org/wiki/Makridakis_Competitions">M-Competition benchmarks</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/anaisdotis" img="https://img.transistorcdn.com/ddxOSLymMWW1xDe-eARRSc7h8XdG36AhnBQD3bfc8io/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xNTYz/MzI2NzAzZjVkM2Vh/Mjk1Nzk2NDJmZjU4/MGQzMC5wbmc.jpg">Anais Dotis-Georgiou</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>AI in the browser</title>
      <itunes:episode>61</itunes:episode>
      <podcast:episode>61</podcast:episode>
      <itunes:title>AI in the browser</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/820</guid>
      <link>https://share.transistor.fm/s/574712ac</link>
      <description>
        <![CDATA[<p>We’ve mentioned ML/AI in the browser and in JS a bunch on this show, but we haven’t done a deep dive on the subject… until now! Victor Dibia helps us understand why people are interested in porting models to the browser and how people are using the functionality. We discuss TensorFlow.js and some applications built using TensorFlow.js</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/weekly">Changelog Weekly</a> – We track, log, and contextualize what’s happening in software throughout the week and deliver it directly to your inbox on Sunday mornings. Head to <a href="https://changelog.com/weekly">changelog.com/weekly</a> to browse the archives, subscribe, and push the easy button on your continuing education. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li></ul><p>Featuring:</p><ul><li>Victor Dibia – <a href="http://victordibia.com">Website</a>, <a href="https://github.com/victordibia">GitHub</a>, <a href="https://www.linkedin.com/in/dibiavictor">LinkedIn</a>, <a href="https://x.com/vykthur">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/victordibia/data2vis">data2vis</a></li><li><a href="http://www.research.ibm.com/tjbot/">TJbot</a></li><li><a href="https://www.tensorflow.org/js">TensorFlow.js</a></li><li><a href="https://github.com/victordibia/handtrack.js/">Handtrack.js</a></li><li><a href="https://convnetplayground.fastforwardlabs.com/#/">ConvNet Playground</a></li><li><a href="https://changelog.com/jsparty">JS Party</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We’ve mentioned ML/AI in the browser and in JS a bunch on this show, but we haven’t done a deep dive on the subject… until now! Victor Dibia helps us understand why people are interested in porting models to the browser and how people are using the functionality. We discuss TensorFlow.js and some applications built using TensorFlow.js</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/weekly">Changelog Weekly</a> – We track, log, and contextualize what’s happening in software throughout the week and deliver it directly to your inbox on Sunday mornings. Head to <a href="https://changelog.com/weekly">changelog.com/weekly</a> to browse the archives, subscribe, and push the easy button on your continuing education. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li></ul><p>Featuring:</p><ul><li>Victor Dibia – <a href="http://victordibia.com">Website</a>, <a href="https://github.com/victordibia">GitHub</a>, <a href="https://www.linkedin.com/in/dibiavictor">LinkedIn</a>, <a href="https://x.com/vykthur">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/victordibia/data2vis">data2vis</a></li><li><a href="http://www.research.ibm.com/tjbot/">TJbot</a></li><li><a href="https://www.tensorflow.org/js">TensorFlow.js</a></li><li><a href="https://github.com/victordibia/handtrack.js/">Handtrack.js</a></li><li><a href="https://convnetplayground.fastforwardlabs.com/#/">ConvNet Playground</a></li><li><a href="https://changelog.com/jsparty">JS Party</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 21 Oct 2019 12:43:55 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/574712ac/068a9a28.mp3" length="71656367" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2980</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We’ve mentioned ML/AI in the browser and in JS a bunch on this show, but we haven’t done a deep dive on the subject… until now! Victor Dibia helps us understand why people are interested in porting models to the browser and how people are using the functionality. We discuss TensorFlow.js and some applications built using TensorFlow.js</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/weekly">Changelog Weekly</a> – We track, log, and contextualize what’s happening in software throughout the week and deliver it directly to your inbox on Sunday mornings. Head to <a href="https://changelog.com/weekly">changelog.com/weekly</a> to browse the archives, subscribe, and push the easy button on your continuing education. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li></ul><p>Featuring:</p><ul><li>Victor Dibia – <a href="http://victordibia.com">Website</a>, <a href="https://github.com/victordibia">GitHub</a>, <a href="https://www.linkedin.com/in/dibiavictor">LinkedIn</a>, <a href="https://x.com/vykthur">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/victordibia/data2vis">data2vis</a></li><li><a href="http://www.research.ibm.com/tjbot/">TJbot</a></li><li><a href="https://www.tensorflow.org/js">TensorFlow.js</a></li><li><a href="https://github.com/victordibia/handtrack.js/">Handtrack.js</a></li><li><a href="https://convnetplayground.fastforwardlabs.com/#/">ConvNet Playground</a></li><li><a href="https://changelog.com/jsparty">JS Party</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/victordibia" img="https://img.transistorcdn.com/FnwlZ01mMcuumYjhjH7t40HPYQx97aizGiqoNbW0oME/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZThm/YzQ4ZWQ3OGViODNi/OWU3NGZlZDU2NzNh/ODdmNS5qcGc.jpg">Victor Dibia</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Blacklisted facial recognition and surveillance companies</title>
      <itunes:episode>60</itunes:episode>
      <podcast:episode>60</podcast:episode>
      <itunes:title>Blacklisted facial recognition and surveillance companies</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/816</guid>
      <link>https://share.transistor.fm/s/8622cee9</link>
      <description>
        <![CDATA[<p>The United States has blacklisted several Chinese AI companies working in facial recognition and surveillance. Why? What are these companies doing exactly, and how does this fit into the international politics of AI? We dig into these questions and attempt to do some live fact finding in this episode.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.cfr.org/backgrounder/chinas-repression-uighurs-xinjiang">1 million ethnic Uyghurs in China have been held in “re-education camps”</a></li><li><a href="https://twitter.com/jacobeisenstein/status/1136742525257957377">Surge in Chinese research related to surveillance of Muslim minorities</a></li><li><a href="https://www.technologyreview.com/f/614494/china-ai-firms-blacklisted-xinjiang-ai-chips/">US AI Blacklist summary article from MIT Technology Review</a></li><li>Hikvision <ul><li><a href="https://www.hikvision.com/">Their website</a></li><li><a href="https://www.scmp.com/tech/big-tech/article/2185123/heres-what-you-need-know-about-hikvision-camera-maker-behind-chinas">Here’s what you need to know about Hikvision, the camera maker behind China’s mass surveillance system</a></li><li><a href="https://www.bloomberg.com/news/articles/2019-05-22/china-s-hikvision-weighed-for-u-s-ban-has-probably-filmed-you">China’s Hikvision Has Probably Filmed You</a></li></ul></li><li>iFlytek <ul><li><a href="https://www.iflytek.com/">Their website</a></li><li><a href="https://www.technologyreview.com/s/608841/why-500-million-people-in-china-are-talking-to-this-ai/">Why 500 Million People in China Are Talking to This AI</a></li></ul></li><li>Megvii <ul><li><a href="https://www.megvii.com/en/">Their website</a></li><li><a href="https://www.wired.com/story/behind-rise-chinas-facial-recognition-giants/">Behind the Rise of China’s Facial-Recognition Giants</a></li><li><a href="https://techcrunch.com/2019/08/26/megvii-the-chinese-startup-unicorn-known-for-facial-recognition-tech-files-to-go-public-in-hong-kong/">Megvii, the Chinese startup unicorn known for facial recognition tech, files to go public in Hong Kong</a></li></ul></li><li>Yitu <ul><li><a href="https://www.yitutech.com/en">Their website</a></li><li><a href="https://www.bloomberg.com/news/articles/2019-09-03/ai-startup-yitu-is-said-to-seek-ipo-on-china-s-new-tech-board">AI Startup Yitu Seeks IPO on China’s New Tech Board</a></li><li><a href="https://www.cnbc.com/2019/05/16/this-chinese-facial-recognition-start-up-can-id-a-person-in-seconds.html">This Chinese facial recognition start-up can identify a person in seconds</a></li></ul></li></ul><p>Learning resources:</p><ul><li><a href="https://colab.research.google.com/drive/1UCJt8EYjlzCs1H1d1X0iDGYJsHKwu-NO">TensorFlow 2.0 notebook</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>The United States has blacklisted several Chinese AI companies working in facial recognition and surveillance. Why? What are these companies doing exactly, and how does this fit into the international politics of AI? We dig into these questions and attempt to do some live fact finding in this episode.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.cfr.org/backgrounder/chinas-repression-uighurs-xinjiang">1 million ethnic Uyghurs in China have been held in “re-education camps”</a></li><li><a href="https://twitter.com/jacobeisenstein/status/1136742525257957377">Surge in Chinese research related to surveillance of Muslim minorities</a></li><li><a href="https://www.technologyreview.com/f/614494/china-ai-firms-blacklisted-xinjiang-ai-chips/">US AI Blacklist summary article from MIT Technology Review</a></li><li>Hikvision <ul><li><a href="https://www.hikvision.com/">Their website</a></li><li><a href="https://www.scmp.com/tech/big-tech/article/2185123/heres-what-you-need-know-about-hikvision-camera-maker-behind-chinas">Here’s what you need to know about Hikvision, the camera maker behind China’s mass surveillance system</a></li><li><a href="https://www.bloomberg.com/news/articles/2019-05-22/china-s-hikvision-weighed-for-u-s-ban-has-probably-filmed-you">China’s Hikvision Has Probably Filmed You</a></li></ul></li><li>iFlytek <ul><li><a href="https://www.iflytek.com/">Their website</a></li><li><a href="https://www.technologyreview.com/s/608841/why-500-million-people-in-china-are-talking-to-this-ai/">Why 500 Million People in China Are Talking to This AI</a></li></ul></li><li>Megvii <ul><li><a href="https://www.megvii.com/en/">Their website</a></li><li><a href="https://www.wired.com/story/behind-rise-chinas-facial-recognition-giants/">Behind the Rise of China’s Facial-Recognition Giants</a></li><li><a href="https://techcrunch.com/2019/08/26/megvii-the-chinese-startup-unicorn-known-for-facial-recognition-tech-files-to-go-public-in-hong-kong/">Megvii, the Chinese startup unicorn known for facial recognition tech, files to go public in Hong Kong</a></li></ul></li><li>Yitu <ul><li><a href="https://www.yitutech.com/en">Their website</a></li><li><a href="https://www.bloomberg.com/news/articles/2019-09-03/ai-startup-yitu-is-said-to-seek-ipo-on-china-s-new-tech-board">AI Startup Yitu Seeks IPO on China’s New Tech Board</a></li><li><a href="https://www.cnbc.com/2019/05/16/this-chinese-facial-recognition-start-up-can-id-a-person-in-seconds.html">This Chinese facial recognition start-up can identify a person in seconds</a></li></ul></li></ul><p>Learning resources:</p><ul><li><a href="https://colab.research.google.com/drive/1UCJt8EYjlzCs1H1d1X0iDGYJsHKwu-NO">TensorFlow 2.0 notebook</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 15 Oct 2019 16:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/8622cee9/b7db4972.mp3" length="71309017" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2966</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>The United States has blacklisted several Chinese AI companies working in facial recognition and surveillance. Why? What are these companies doing exactly, and how does this fit into the international politics of AI? We dig into these questions and attempt to do some live fact finding in this episode.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.cfr.org/backgrounder/chinas-repression-uighurs-xinjiang">1 million ethnic Uyghurs in China have been held in “re-education camps”</a></li><li><a href="https://twitter.com/jacobeisenstein/status/1136742525257957377">Surge in Chinese research related to surveillance of Muslim minorities</a></li><li><a href="https://www.technologyreview.com/f/614494/china-ai-firms-blacklisted-xinjiang-ai-chips/">US AI Blacklist summary article from MIT Technology Review</a></li><li>Hikvision <ul><li><a href="https://www.hikvision.com/">Their website</a></li><li><a href="https://www.scmp.com/tech/big-tech/article/2185123/heres-what-you-need-know-about-hikvision-camera-maker-behind-chinas">Here’s what you need to know about Hikvision, the camera maker behind China’s mass surveillance system</a></li><li><a href="https://www.bloomberg.com/news/articles/2019-05-22/china-s-hikvision-weighed-for-u-s-ban-has-probably-filmed-you">China’s Hikvision Has Probably Filmed You</a></li></ul></li><li>iFlytek <ul><li><a href="https://www.iflytek.com/">Their website</a></li><li><a href="https://www.technologyreview.com/s/608841/why-500-million-people-in-china-are-talking-to-this-ai/">Why 500 Million People in China Are Talking to This AI</a></li></ul></li><li>Megvii <ul><li><a href="https://www.megvii.com/en/">Their website</a></li><li><a href="https://www.wired.com/story/behind-rise-chinas-facial-recognition-giants/">Behind the Rise of China’s Facial-Recognition Giants</a></li><li><a href="https://techcrunch.com/2019/08/26/megvii-the-chinese-startup-unicorn-known-for-facial-recognition-tech-files-to-go-public-in-hong-kong/">Megvii, the Chinese startup unicorn known for facial recognition tech, files to go public in Hong Kong</a></li></ul></li><li>Yitu <ul><li><a href="https://www.yitutech.com/en">Their website</a></li><li><a href="https://www.bloomberg.com/news/articles/2019-09-03/ai-startup-yitu-is-said-to-seek-ipo-on-china-s-new-tech-board">AI Startup Yitu Seeks IPO on China’s New Tech Board</a></li><li><a href="https://www.cnbc.com/2019/05/16/this-chinese-facial-recognition-start-up-can-id-a-person-in-seconds.html">This Chinese facial recognition start-up can identify a person in seconds</a></li></ul></li></ul><p>Learning resources:</p><ul><li><a href="https://colab.research.google.com/drive/1UCJt8EYjlzCs1H1d1X0iDGYJsHKwu-NO">TensorFlow 2.0 notebook</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Flying high with AI drone racing at AlphaPilot</title>
      <itunes:episode>59</itunes:episode>
      <podcast:episode>59</podcast:episode>
      <itunes:title>Flying high with AI drone racing at AlphaPilot</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/811</guid>
      <link>https://share.transistor.fm/s/db834f34</link>
      <description>
        <![CDATA[<p>Chris and Daniel talk with Keith Lynn, AlphaPilot Program Manager at Lockheed Martin. AlphaPilot is an open innovation challenge, developing artificial intelligence for high-speed racing drones, created through a partnership between Lockheed Martin and The Drone Racing League (DRL).</p><p>AlphaPilot challenged university teams from around the world to design AI capable of flying a drone without any human intervention or navigational pre-programming. Autonomous drones will race head-to-head through complex, three-dimensional tracks in DRL’s new Artificial Intelligence Robotic Racing (AIRR) Circuit. The winning team could win up to $2 million in prizes.</p><p>Keith shares the incredible story of how AlphaPilot got started, just prior to its debut race in Orlando, which will be broadcast on NBC Sports.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Keith Lynn – <a href="https://www.linkedin.com/in/keith-lynn-85837011">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://lockheedmartin.com/alphapilot">AlphaPilot</a></li><li><a href="https://www.herox.com/alphapilot">AlphaPilot – Lockheed Martin AI Drone Racing Innovation Challenge</a></li><li><a href="https://www.prnewswire.com/news-releases/lockheed-martin-and-drone-racing-league-announce-2019-alphapilot-teams-300855026.html">Lockheed Martin and Drone Racing League Announce 2019 AlphaPilot Teams</a></li><li><a href="https://www.orlandosentinel.com/business/os-bz-drone-racing-ucf-20190912-geppy5sutvdtpceyagqpbayk4e-story.html">Look ma, no hands: UCF arena to host fast-flying, autonomous drone racing in October</a></li><li><a href="https://lockheedmartin.com">Lockheed Martin</a></li><li><a href="https://en.wikipedia.org/wiki/Lockheed_Martin">Lockheed Martin - Wikipedia</a></li><li><a href="https://thedroneracingleague.com">The Drone Racing League</a></li><li><a href="https://en.wikipedia.org/wiki/Drone_Racing_League">The Drone Racing League - Wikipedia</a></li><li><a href="https://twitter.com/LockheedMartin">Lockheed Martin - Twitter</a></li><li><a href="https://twitter.com/DroneRaceLeague">The Drone Racing League - Twitter</a></li><li><a href="https://twitter.com/nvidia">NVIDIA - Twitter</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Chris and Daniel talk with Keith Lynn, AlphaPilot Program Manager at Lockheed Martin. AlphaPilot is an open innovation challenge, developing artificial intelligence for high-speed racing drones, created through a partnership between Lockheed Martin and The Drone Racing League (DRL).</p><p>AlphaPilot challenged university teams from around the world to design AI capable of flying a drone without any human intervention or navigational pre-programming. Autonomous drones will race head-to-head through complex, three-dimensional tracks in DRL’s new Artificial Intelligence Robotic Racing (AIRR) Circuit. The winning team could win up to $2 million in prizes.</p><p>Keith shares the incredible story of how AlphaPilot got started, just prior to its debut race in Orlando, which will be broadcast on NBC Sports.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Keith Lynn – <a href="https://www.linkedin.com/in/keith-lynn-85837011">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://lockheedmartin.com/alphapilot">AlphaPilot</a></li><li><a href="https://www.herox.com/alphapilot">AlphaPilot – Lockheed Martin AI Drone Racing Innovation Challenge</a></li><li><a href="https://www.prnewswire.com/news-releases/lockheed-martin-and-drone-racing-league-announce-2019-alphapilot-teams-300855026.html">Lockheed Martin and Drone Racing League Announce 2019 AlphaPilot Teams</a></li><li><a href="https://www.orlandosentinel.com/business/os-bz-drone-racing-ucf-20190912-geppy5sutvdtpceyagqpbayk4e-story.html">Look ma, no hands: UCF arena to host fast-flying, autonomous drone racing in October</a></li><li><a href="https://lockheedmartin.com">Lockheed Martin</a></li><li><a href="https://en.wikipedia.org/wiki/Lockheed_Martin">Lockheed Martin - Wikipedia</a></li><li><a href="https://thedroneracingleague.com">The Drone Racing League</a></li><li><a href="https://en.wikipedia.org/wiki/Drone_Racing_League">The Drone Racing League - Wikipedia</a></li><li><a href="https://twitter.com/LockheedMartin">Lockheed Martin - Twitter</a></li><li><a href="https://twitter.com/DroneRaceLeague">The Drone Racing League - Twitter</a></li><li><a href="https://twitter.com/nvidia">NVIDIA - Twitter</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 07 Oct 2019 12:25:43 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/db834f34/a5f10908.mp3" length="68987161" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2869</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Chris and Daniel talk with Keith Lynn, AlphaPilot Program Manager at Lockheed Martin. AlphaPilot is an open innovation challenge, developing artificial intelligence for high-speed racing drones, created through a partnership between Lockheed Martin and The Drone Racing League (DRL).</p><p>AlphaPilot challenged university teams from around the world to design AI capable of flying a drone without any human intervention or navigational pre-programming. Autonomous drones will race head-to-head through complex, three-dimensional tracks in DRL’s new Artificial Intelligence Robotic Racing (AIRR) Circuit. The winning team could win up to $2 million in prizes.</p><p>Keith shares the incredible story of how AlphaPilot got started, just prior to its debut race in Orlando, which will be broadcast on NBC Sports.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Keith Lynn – <a href="https://www.linkedin.com/in/keith-lynn-85837011">LinkedIn</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://lockheedmartin.com/alphapilot">AlphaPilot</a></li><li><a href="https://www.herox.com/alphapilot">AlphaPilot – Lockheed Martin AI Drone Racing Innovation Challenge</a></li><li><a href="https://www.prnewswire.com/news-releases/lockheed-martin-and-drone-racing-league-announce-2019-alphapilot-teams-300855026.html">Lockheed Martin and Drone Racing League Announce 2019 AlphaPilot Teams</a></li><li><a href="https://www.orlandosentinel.com/business/os-bz-drone-racing-ucf-20190912-geppy5sutvdtpceyagqpbayk4e-story.html">Look ma, no hands: UCF arena to host fast-flying, autonomous drone racing in October</a></li><li><a href="https://lockheedmartin.com">Lockheed Martin</a></li><li><a href="https://en.wikipedia.org/wiki/Lockheed_Martin">Lockheed Martin - Wikipedia</a></li><li><a href="https://thedroneracingleague.com">The Drone Racing League</a></li><li><a href="https://en.wikipedia.org/wiki/Drone_Racing_League">The Drone Racing League - Wikipedia</a></li><li><a href="https://twitter.com/LockheedMartin">Lockheed Martin - Twitter</a></li><li><a href="https://twitter.com/DroneRaceLeague">The Drone Racing League - Twitter</a></li><li><a href="https://twitter.com/nvidia">NVIDIA - Twitter</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/keith-lynn" img="https://img.transistorcdn.com/raMqb7cYd74WXGQrzE_CIIntVJ0iyqaWwABSZkorSXA/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81MjQz/MjRmYjhlNGIwMjA5/OTE5M2ViMGE5OGJm/NWEyMS5qcGVn.jpg">Keith Lynn</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>AI in the majority world and model distillation</title>
      <itunes:episode>58</itunes:episode>
      <podcast:episode>58</podcast:episode>
      <itunes:title>AI in the majority world and model distillation</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/806</guid>
      <link>https://share.transistor.fm/s/fee19798</link>
      <description>
        <![CDATA[<p>Chris and Daniel take some time to cover recent trends in AI and some noteworthy publications. In particular, they discuss the increasing AI momentum in the majority world (Africa, Asia, South and Central America and the Caribbean), and they dig into Hugging Face’s recent model distillation results.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://allthingsopen.org/?utm_source=changelog">All Things Open</a> – Exploring open source, open tech, and the open web in the enterprise. Raleigh, NC — October 13-15, 2019 </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>AI in the majority world:</p><ul><li><a href="https://medium.com/@chuvpilo/whos-ahead-in-ai-research-insights-from-nips-most-prestigious-ai-conference-df2c361236f6">NeurIPS publications by country</a></li><li><a href="https://twitter.com/theworldindex/status/1173797410352578560">“Best” universities according to the Times Higher Education</a></li><li><a href="https://iclr.cc/">ICLR in Ethiopia</a></li><li>Google AI offices: <ul><li><a href="https://blog.google/around-the-globe/google-asia/google-research-india-ai-lab-bangalore/">Bangalore</a></li><li><a href="https://www.blog.google/around-the-globe/google-africa/google-ai-ghana/">Ghana</a></li><li><a href="https://ai.google/research/join-us/beijing/">Beijing</a></li></ul></li><li><a href="http://www.deeplearningindaba.com/">Deep Learning Indaba</a></li><li><a href="https://www.sea-mls.com/">Southeast Asia Machine Learning School</a></li><li><a href="https://facebookaiforindia.splashthat.com/">Facebook’s AI for India summit</a></li><li><a href="https://www.aisingapore.org/">AI Singapore</a></li><li><a href="https://en.tempo.co/read/922922/joint-effort-drives-indonesias-first-ai-research-center">Indonesia AI research center</a></li></ul><p><a href="https://phys.org/news/2019-09-artificial-intelligence-probes-dark-universe.html">Artificial intelligence probes dark matter in the universe</a></p><p><a href="https://medium.com/huggingface/distilbert-8cf3380435b5">DistilBERT from Hugging Face</a></p><p><a href="https://sloanreview.mit.edu/article/three-people-centered-design-principles-for-deep-learning">Three People-Centered Design Principles for Deep Learning</a></p><p><a href="https://paperswithcode.com/">Papers with code</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Chris and Daniel take some time to cover recent trends in AI and some noteworthy publications. In particular, they discuss the increasing AI momentum in the majority world (Africa, Asia, South and Central America and the Caribbean), and they dig into Hugging Face’s recent model distillation results.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://allthingsopen.org/?utm_source=changelog">All Things Open</a> – Exploring open source, open tech, and the open web in the enterprise. Raleigh, NC — October 13-15, 2019 </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>AI in the majority world:</p><ul><li><a href="https://medium.com/@chuvpilo/whos-ahead-in-ai-research-insights-from-nips-most-prestigious-ai-conference-df2c361236f6">NeurIPS publications by country</a></li><li><a href="https://twitter.com/theworldindex/status/1173797410352578560">“Best” universities according to the Times Higher Education</a></li><li><a href="https://iclr.cc/">ICLR in Ethiopia</a></li><li>Google AI offices: <ul><li><a href="https://blog.google/around-the-globe/google-asia/google-research-india-ai-lab-bangalore/">Bangalore</a></li><li><a href="https://www.blog.google/around-the-globe/google-africa/google-ai-ghana/">Ghana</a></li><li><a href="https://ai.google/research/join-us/beijing/">Beijing</a></li></ul></li><li><a href="http://www.deeplearningindaba.com/">Deep Learning Indaba</a></li><li><a href="https://www.sea-mls.com/">Southeast Asia Machine Learning School</a></li><li><a href="https://facebookaiforindia.splashthat.com/">Facebook’s AI for India summit</a></li><li><a href="https://www.aisingapore.org/">AI Singapore</a></li><li><a href="https://en.tempo.co/read/922922/joint-effort-drives-indonesias-first-ai-research-center">Indonesia AI research center</a></li></ul><p><a href="https://phys.org/news/2019-09-artificial-intelligence-probes-dark-universe.html">Artificial intelligence probes dark matter in the universe</a></p><p><a href="https://medium.com/huggingface/distilbert-8cf3380435b5">DistilBERT from Hugging Face</a></p><p><a href="https://sloanreview.mit.edu/article/three-people-centered-design-principles-for-deep-learning">Three People-Centered Design Principles for Deep Learning</a></p><p><a href="https://paperswithcode.com/">Papers with code</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 30 Sep 2019 11:05:56 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/fee19798/f35425b1.mp3" length="65183587" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2710</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Chris and Daniel take some time to cover recent trends in AI and some noteworthy publications. In particular, they discuss the increasing AI momentum in the majority world (Africa, Asia, South and Central America and the Caribbean), and they dig into Hugging Face’s recent model distillation results.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://allthingsopen.org/?utm_source=changelog">All Things Open</a> – Exploring open source, open tech, and the open web in the enterprise. Raleigh, NC — October 13-15, 2019 </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>AI in the majority world:</p><ul><li><a href="https://medium.com/@chuvpilo/whos-ahead-in-ai-research-insights-from-nips-most-prestigious-ai-conference-df2c361236f6">NeurIPS publications by country</a></li><li><a href="https://twitter.com/theworldindex/status/1173797410352578560">“Best” universities according to the Times Higher Education</a></li><li><a href="https://iclr.cc/">ICLR in Ethiopia</a></li><li>Google AI offices: <ul><li><a href="https://blog.google/around-the-globe/google-asia/google-research-india-ai-lab-bangalore/">Bangalore</a></li><li><a href="https://www.blog.google/around-the-globe/google-africa/google-ai-ghana/">Ghana</a></li><li><a href="https://ai.google/research/join-us/beijing/">Beijing</a></li></ul></li><li><a href="http://www.deeplearningindaba.com/">Deep Learning Indaba</a></li><li><a href="https://www.sea-mls.com/">Southeast Asia Machine Learning School</a></li><li><a href="https://facebookaiforindia.splashthat.com/">Facebook’s AI for India summit</a></li><li><a href="https://www.aisingapore.org/">AI Singapore</a></li><li><a href="https://en.tempo.co/read/922922/joint-effort-drives-indonesias-first-ai-research-center">Indonesia AI research center</a></li></ul><p><a href="https://phys.org/news/2019-09-artificial-intelligence-probes-dark-universe.html">Artificial intelligence probes dark matter in the universe</a></p><p><a href="https://medium.com/huggingface/distilbert-8cf3380435b5">DistilBERT from Hugging Face</a></p><p><a href="https://sloanreview.mit.edu/article/three-people-centered-design-principles-for-deep-learning">Three People-Centered Design Principles for Deep Learning</a></p><p><a href="https://paperswithcode.com/">Papers with code</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>The influence of open source on AI development</title>
      <itunes:episode>57</itunes:episode>
      <podcast:episode>57</podcast:episode>
      <itunes:title>The influence of open source on AI development</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/799</guid>
      <link>https://share.transistor.fm/s/b81ea4dd</link>
      <description>
        <![CDATA[<p>The All Things Open conference is happening soon, and we snagged one of their speakers to discuss open source and AI. Samuel Taylor talks about the essential role that open source is playing in AI development and research, and he gives us some tips on choosing AI-related side projects.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://allthingsopen.org/?utm_source=changelog">All Things Open</a> – Exploring open source, open tech, and the open web in the enterprise. Raleigh, NC — October 13-15, 2019 </li></ul><p>Featuring:</p><ul><li>Samuel Taylor – <a href="https://www.samueltaylor.org">Website</a>, <a href="https://github.com/ssaamm">GitHub</a>, <a href="https://www.linkedin.com/in/samuelgt">LinkedIn</a>, <a href="https://x.com/samueldatat">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Tweet and mention <a href="https://twitter.com/changelog">@Changelog</a> or <a href="https://twitter.com/practicalaifm">@PracticalAIFM</a> for a chance to win 1 of 5 free passes to the conference!</p>“I want a free pass to @AllThingsOpen because…”<ul><li><a href="https://allthingsopen.org/">All Things Open</a></li><li><a href="https://allthingsopen.org/talk/using-open-source-tools-for-machine-learning/">Samuel’s All Things Open talk description</a></li><li><a href="https://changelog.com/practicalai/17">Episode #17 - Fighting bias in hiring</a></li><li><a href="https://jupyter.org/">Jupyter</a></li><li><a href="https://pandas.pydata.org/">Pandas</a></li><li><a href="https://scikit-learn.org/stable/">Scikit-learn</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>The All Things Open conference is happening soon, and we snagged one of their speakers to discuss open source and AI. Samuel Taylor talks about the essential role that open source is playing in AI development and research, and he gives us some tips on choosing AI-related side projects.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://allthingsopen.org/?utm_source=changelog">All Things Open</a> – Exploring open source, open tech, and the open web in the enterprise. Raleigh, NC — October 13-15, 2019 </li></ul><p>Featuring:</p><ul><li>Samuel Taylor – <a href="https://www.samueltaylor.org">Website</a>, <a href="https://github.com/ssaamm">GitHub</a>, <a href="https://www.linkedin.com/in/samuelgt">LinkedIn</a>, <a href="https://x.com/samueldatat">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Tweet and mention <a href="https://twitter.com/changelog">@Changelog</a> or <a href="https://twitter.com/practicalaifm">@PracticalAIFM</a> for a chance to win 1 of 5 free passes to the conference!</p>“I want a free pass to @AllThingsOpen because…”<ul><li><a href="https://allthingsopen.org/">All Things Open</a></li><li><a href="https://allthingsopen.org/talk/using-open-source-tools-for-machine-learning/">Samuel’s All Things Open talk description</a></li><li><a href="https://changelog.com/practicalai/17">Episode #17 - Fighting bias in hiring</a></li><li><a href="https://jupyter.org/">Jupyter</a></li><li><a href="https://pandas.pydata.org/">Pandas</a></li><li><a href="https://scikit-learn.org/stable/">Scikit-learn</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 25 Sep 2019 15:58:08 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/b81ea4dd/9c8eda0b.mp3" length="65710677" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2732</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>The All Things Open conference is happening soon, and we snagged one of their speakers to discuss open source and AI. Samuel Taylor talks about the essential role that open source is playing in AI development and research, and he gives us some tips on choosing AI-related side projects.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://allthingsopen.org/?utm_source=changelog">All Things Open</a> – Exploring open source, open tech, and the open web in the enterprise. Raleigh, NC — October 13-15, 2019 </li></ul><p>Featuring:</p><ul><li>Samuel Taylor – <a href="https://www.samueltaylor.org">Website</a>, <a href="https://github.com/ssaamm">GitHub</a>, <a href="https://www.linkedin.com/in/samuelgt">LinkedIn</a>, <a href="https://x.com/samueldatat">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Tweet and mention <a href="https://twitter.com/changelog">@Changelog</a> or <a href="https://twitter.com/practicalaifm">@PracticalAIFM</a> for a chance to win 1 of 5 free passes to the conference!</p>“I want a free pass to @AllThingsOpen because…”<ul><li><a href="https://allthingsopen.org/">All Things Open</a></li><li><a href="https://allthingsopen.org/talk/using-open-source-tools-for-machine-learning/">Samuel’s All Things Open talk description</a></li><li><a href="https://changelog.com/practicalai/17">Episode #17 - Fighting bias in hiring</a></li><li><a href="https://jupyter.org/">Jupyter</a></li><li><a href="https://pandas.pydata.org/">Pandas</a></li><li><a href="https://scikit-learn.org/stable/">Scikit-learn</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/samueltaylor" img="https://img.transistorcdn.com/hVKWPMI4WaGIz26knmKFvQvuYkno7cFv_uMYdVaZgck/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kYzg3/MDNiNDhmZmZkMTEy/YTM2YmI0Yzk3YjVl/NjE1My5qcGVn.jpg">Samuel Taylor</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Worlds are colliding - AI and HPC</title>
      <itunes:episode>56</itunes:episode>
      <podcast:episode>56</podcast:episode>
      <itunes:title>Worlds are colliding - AI and HPC</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/796</guid>
      <link>https://share.transistor.fm/s/43ed9629</link>
      <description>
        <![CDATA[<p>In this very special fully-connected episode of Practical AI, Daniel interviews Chris. They discuss High Performance Computing (HPC) and how it is colliding with the world of AI. Chris explains how HPC differs from cloud/on-prem infrastructure, and he highlights some of the challenges of an HPC-based AI strategy.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.udacity.com/course/high-performance-computing--ud281">HPC course on Udacity</a></li><li><a href="https://colab.research.google.com">Google Colab</a></li><li><a href="https://www2.cisl.ucar.edu/siparcs">SIParCS internship at NCAR</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this very special fully-connected episode of Practical AI, Daniel interviews Chris. They discuss High Performance Computing (HPC) and how it is colliding with the world of AI. Chris explains how HPC differs from cloud/on-prem infrastructure, and he highlights some of the challenges of an HPC-based AI strategy.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.udacity.com/course/high-performance-computing--ud281">HPC course on Udacity</a></li><li><a href="https://colab.research.google.com">Google Colab</a></li><li><a href="https://www2.cisl.ucar.edu/siparcs">SIParCS internship at NCAR</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 17 Sep 2019 11:22:08 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/43ed9629/3d5282d8.mp3" length="69852267" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2905</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this very special fully-connected episode of Practical AI, Daniel interviews Chris. They discuss High Performance Computing (HPC) and how it is colliding with the world of AI. Chris explains how HPC differs from cloud/on-prem infrastructure, and he highlights some of the challenges of an HPC-based AI strategy.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://brave.com/cha913">The Brave Browser</a> – Browse the web up to 8x faster than Chrome and Safari, block ads and trackers by default, and reward your favorite creators with the built-in <a href="https://basicattentiontoken.org">Basic Attention Token</a>. Download <a href="https://brave.com/cha913">Brave</a> for free and give tipping a try right here on <a href="https://changelog.com">changelog.com</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.udacity.com/course/high-performance-computing--ud281">HPC course on Udacity</a></li><li><a href="https://colab.research.google.com">Google Colab</a></li><li><a href="https://www2.cisl.ucar.edu/siparcs">SIParCS internship at NCAR</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>AutoML and AI at Google</title>
      <itunes:episode>55</itunes:episode>
      <podcast:episode>55</podcast:episode>
      <itunes:title>AutoML and AI at Google</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/793</guid>
      <link>https://share.transistor.fm/s/14c3d6bb</link>
      <description>
        <![CDATA[<p>We’re talking with Sherol Chen, a machine learning developer, about AI at Google and AutoML methods. Sherol explains how the various AI groups within Google work together and how AutoML fits into that puzzle. She also explains how to get started with AutoML step-by-step (this is “practical” AI after all).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/weekly">Changelog Weekly</a> – We track, log, and contextualize what’s happening in software throughout the week and deliver it directly to your inbox on Sunday mornings. Head to <a href="https://changelog.com/weekly">changelog.com/weekly</a> to browse the archives, subscribe, and push the easy button on your continuing education. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li></ul><p>Featuring:</p><ul><li>Sherol Chen – <a href="https://medium.com/eliza-effect">Website</a>, <a href="https://github.com/ffpaladin">GitHub</a>, <a href="https://www.linkedin.com/in/ffpaladin">LinkedIn</a>, <a href="https://x.com/ffpaladin">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://cloud.google.com/">Google cloud</a></li><li><a href="https://ai.google/">Google AI</a></li><li><a href="https://www.tensorflow.org/">Tensorflow</a></li><li><a href="https://ai.google/research/people/QuocLe/">Quoc V. Le’s research</a></li><li><a href="https://cloud.google.com/automl/">Cloud AutoML</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We’re talking with Sherol Chen, a machine learning developer, about AI at Google and AutoML methods. Sherol explains how the various AI groups within Google work together and how AutoML fits into that puzzle. She also explains how to get started with AutoML step-by-step (this is “practical” AI after all).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/weekly">Changelog Weekly</a> – We track, log, and contextualize what’s happening in software throughout the week and deliver it directly to your inbox on Sunday mornings. Head to <a href="https://changelog.com/weekly">changelog.com/weekly</a> to browse the archives, subscribe, and push the easy button on your continuing education. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li></ul><p>Featuring:</p><ul><li>Sherol Chen – <a href="https://medium.com/eliza-effect">Website</a>, <a href="https://github.com/ffpaladin">GitHub</a>, <a href="https://www.linkedin.com/in/ffpaladin">LinkedIn</a>, <a href="https://x.com/ffpaladin">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://cloud.google.com/">Google cloud</a></li><li><a href="https://ai.google/">Google AI</a></li><li><a href="https://www.tensorflow.org/">Tensorflow</a></li><li><a href="https://ai.google/research/people/QuocLe/">Quoc V. Le’s research</a></li><li><a href="https://cloud.google.com/automl/">Cloud AutoML</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 09 Sep 2019 17:06:22 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/14c3d6bb/8415acaa.mp3" length="84564499" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3519</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We’re talking with Sherol Chen, a machine learning developer, about AI at Google and AutoML methods. Sherol explains how the various AI groups within Google work together and how AutoML fits into that puzzle. She also explains how to get started with AutoML step-by-step (this is “practical” AI after all).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean now offers <a href="https://www.digitalocean.com/products/managed-databases/">three managed databases</a> — PostgreSQL, MySQL, and Redis. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/weekly">Changelog Weekly</a> – We track, log, and contextualize what’s happening in software throughout the week and deliver it directly to your inbox on Sunday mornings. Head to <a href="https://changelog.com/weekly">changelog.com/weekly</a> to browse the archives, subscribe, and push the easy button on your continuing education. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li></ul><p>Featuring:</p><ul><li>Sherol Chen – <a href="https://medium.com/eliza-effect">Website</a>, <a href="https://github.com/ffpaladin">GitHub</a>, <a href="https://www.linkedin.com/in/ffpaladin">LinkedIn</a>, <a href="https://x.com/ffpaladin">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://cloud.google.com/">Google cloud</a></li><li><a href="https://ai.google/">Google AI</a></li><li><a href="https://www.tensorflow.org/">Tensorflow</a></li><li><a href="https://ai.google/research/people/QuocLe/">Quoc V. Le’s research</a></li><li><a href="https://cloud.google.com/automl/">Cloud AutoML</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/ffpaladin" img="https://img.transistorcdn.com/lh859ZexExtgsdFsrvtOL15_wu5rdrZxmurO_lKfGQI/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ODFm/MjdiYTk3MTcxMjc3/NzU2MGJjODljY2Q4/NTQ3Mi5qcGVn.jpg">Sherol Chen</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>On being humAIn</title>
      <itunes:episode>54</itunes:episode>
      <podcast:episode>54</podcast:episode>
      <itunes:title>On being humAIn</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/784</guid>
      <link>https://share.transistor.fm/s/6254bc31</link>
      <description>
        <![CDATA[<p>David Yakobovitch joins the show to talk about the evolution of data science tools and techniques, the work he’s doing to teach these things at <a href="https://www.galvanize.com">Galvanize</a>, what his <a href="http://www.humainpodcast.com">HumAIn Podcast</a> is all about, and more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>David Yakobovitch – <a href="https://www.linkedin.com/in/davidyakobovitch">LinkedIn</a>, <a href="https://x.com/davidyako">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.galvanize.com">Galvanize</a></li><li><a href="http://www.humainpodcast.com">HumAIn Podcast</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/154177373X">“The Big Nine” by Amy Webb</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>David Yakobovitch joins the show to talk about the evolution of data science tools and techniques, the work he’s doing to teach these things at <a href="https://www.galvanize.com">Galvanize</a>, what his <a href="http://www.humainpodcast.com">HumAIn Podcast</a> is all about, and more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>David Yakobovitch – <a href="https://www.linkedin.com/in/davidyakobovitch">LinkedIn</a>, <a href="https://x.com/davidyako">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.galvanize.com">Galvanize</a></li><li><a href="http://www.humainpodcast.com">HumAIn Podcast</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/154177373X">“The Big Nine” by Amy Webb</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 26 Aug 2019 17:35:20 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/6254bc31/fed13f67.mp3" length="80585001" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3353</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>David Yakobovitch joins the show to talk about the evolution of data science tools and techniques, the work he’s doing to teach these things at <a href="https://www.galvanize.com">Galvanize</a>, what his <a href="http://www.humainpodcast.com">HumAIn Podcast</a> is all about, and more.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>David Yakobovitch – <a href="https://www.linkedin.com/in/davidyakobovitch">LinkedIn</a>, <a href="https://x.com/davidyako">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.galvanize.com">Galvanize</a></li><li><a href="http://www.humainpodcast.com">HumAIn Podcast</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/154177373X">“The Big Nine” by Amy Webb</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/davidyakobovitch" img="https://img.transistorcdn.com/bN_coN019Izn61Dlxjd2LacOkaK4qIyf_xLPflSaR98/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83M2Mx/OTdkOTk3NzY4NTkw/Y2EyMzliNWFhMGZl/MWYxOC5qcGc.jpg">David Yakobovitch</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>Serving deep learning models with RedisAI</title>
      <itunes:episode>53</itunes:episode>
      <podcast:episode>53</podcast:episode>
      <itunes:title>Serving deep learning models with RedisAI</itunes:title>
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      <description>
        <![CDATA[<p>Redis is a an open source, in-memory data structure store, widely used as a database, cache and message broker. It now also support tensor data types and deep learning models via the RedisAI module. Why did they build this module? Who is or should be using it? We discuss this and much more with Pieter Cailliau.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Pieter Cailliau – <a href="https://redislabs.com">Website</a>, <a href="https://github.com/K-Jo">GitHub</a>, <a href="https://www.linkedin.com/in/pietercailliau">LinkedIn</a>, <a href="https://x.com/cailliaup">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://redis.io/">Redis</a></li><li><a href="https://redis.io/modules">Redis modules</a></li><li><a href="https://oss.redislabs.com/redisai/">RedisAI</a></li><li><a href="https://buildmedia.readthedocs.org/media/pdf/hangar-py/latest/hangar-py.pdf">Hangar</a></li><li><a href="https://github.com/tensorwerk/hangar-py">Hangar on GitHub</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Redis is a an open source, in-memory data structure store, widely used as a database, cache and message broker. It now also support tensor data types and deep learning models via the RedisAI module. Why did they build this module? Who is or should be using it? We discuss this and much more with Pieter Cailliau.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Pieter Cailliau – <a href="https://redislabs.com">Website</a>, <a href="https://github.com/K-Jo">GitHub</a>, <a href="https://www.linkedin.com/in/pietercailliau">LinkedIn</a>, <a href="https://x.com/cailliaup">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://redis.io/">Redis</a></li><li><a href="https://redis.io/modules">Redis modules</a></li><li><a href="https://oss.redislabs.com/redisai/">RedisAI</a></li><li><a href="https://buildmedia.readthedocs.org/media/pdf/hangar-py/latest/hangar-py.pdf">Hangar</a></li><li><a href="https://github.com/tensorwerk/hangar-py">Hangar on GitHub</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <pubDate>Mon, 12 Aug 2019 15:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
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        <![CDATA[<p>Redis is a an open source, in-memory data structure store, widely used as a database, cache and message broker. It now also support tensor data types and deep learning models via the RedisAI module. Why did they build this module? Who is or should be using it? We discuss this and much more with Pieter Cailliau.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Pieter Cailliau – <a href="https://redislabs.com">Website</a>, <a href="https://github.com/K-Jo">GitHub</a>, <a href="https://www.linkedin.com/in/pietercailliau">LinkedIn</a>, <a href="https://x.com/cailliaup">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://redis.io/">Redis</a></li><li><a href="https://redis.io/modules">Redis modules</a></li><li><a href="https://oss.redislabs.com/redisai/">RedisAI</a></li><li><a href="https://buildmedia.readthedocs.org/media/pdf/hangar-py/latest/hangar-py.pdf">Hangar</a></li><li><a href="https://github.com/tensorwerk/hangar-py">Hangar on GitHub</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/pietercailliau" img="https://img.transistorcdn.com/8tWZodGTVtquhaWT_ixV1EBQWuc6qI-sZG-WxXiMJNo/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lYTMy/OGJmNGIxY2UwYmU2/MDIxMzMzOTFkNTU3/Mzg4Zi5qcGc.jpg">Pieter Cailliau</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>AI-driven studies of the ancient world and good GANs</title>
      <itunes:episode>52</itunes:episode>
      <podcast:episode>52</podcast:episode>
      <itunes:title>AI-driven studies of the ancient world and good GANs</itunes:title>
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        <![CDATA[<p>Chris and Daniel take the opportunity to catch up on some recent AI news. Among other things, they discuss the increasing impact of AI on studies of the ancient world and “good” uses of GANs. They also provide some more learning resources to help you level up your AI and machine learning game.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.dataengineeringpodcast.com?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">DataEngPodcast</a> – A podcast about data engineering and modern data infrastructure. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>AI is impacting studies of the ancient world:</p><ul><li><a href="https://www.technologyreview.com/s/613899/machine-learning-has-been-used-to-automatically-translate-long-lost-languages/amp/?__twitter_impression=true">Machine learning has been used to automatically translate long-lost languages:</a></li><li><a href="https://www.technologyreview.com/s/613780/machine-learning-is-about-to-revolutionize-the-study-of-ancient-games/">Machine learning is about to revolutionize the study of ancient games:</a></li><li>Others studies: <ul><li><a href="https://twitter.com/hardmaru/status/1071479761556238336">Deep Learning for Classical Japanese Literature:</a></li><li><a href="https://youtu.be/8khPUtwaVaw">In Codice Ratio: Machine Transcription in the Vatican Secret Archive:</a></li><li><a href="https://picampus-school.com/medieval-manuscripts-and-deep-learning-technology/">Reading Medieval Manuscripts with Deep Learning Technology:</a></li></ul></li></ul><p><a href="https://www.technologyreview.com/s/613954/the-next-ai-revolution-will-come-from-machine-learnings-most-underrated-form/">The AI technique that could imbue machines with the ability to reason</a></p><p><a href="https://www.technologyreview.com/f/613924/ai-deepfakes-gans-medical-cancer-diagnosis">A new way to use the AI behind deepfakes could improve cancer diagnosis:</a></p><p>AIs are playing more games:</p><ul><li><a href="https://arstechnica.com/gadgets/2019/07/deepmind-ai-takes-on-the-public-in-starcraft-ii-multiplayer/">DeepMind AI is secretly lurking on the public StarCraft II 1v1 ladder</a></li><li><a href="https://www.polygon.com/2019/7/14/20693903/unbeatable-poker-bot-ai-pluribus-facebook-carnegie-mellon-journal-science">An unbeatable poker bot offers glimpses of video game AI’s future</a></li></ul><p>Relevant learning resources:</p><ul><li><a href="https://github.com/ddbourgin/numpy-ml">NumPy implementations of a bunch of models (from scratch):</a></li><li>Great new-ish NLP courses: <ul><li><a href="https://course.spacy.io/">Advanced NLP with spacy:</a></li><li><a href="https://www.fast.ai/2019/07/08/fastai-nlp/">New fast.ai course! A Code-First Introduction to NLP:</a></li></ul></li><li><a href="https://cloud.google.com/ai-platform/deep-learning-containers">Google Cloud - Deep Learning Containers</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0135957052">“The Pragmatic Programmer” by David Thomas and Andrew Hunt</a></li><li><a href="https://www.amazon.com/dp/1492041130">“Data Science from Scratch” by Joel Grus</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Chris and Daniel take the opportunity to catch up on some recent AI news. Among other things, they discuss the increasing impact of AI on studies of the ancient world and “good” uses of GANs. They also provide some more learning resources to help you level up your AI and machine learning game.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.dataengineeringpodcast.com?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">DataEngPodcast</a> – A podcast about data engineering and modern data infrastructure. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>AI is impacting studies of the ancient world:</p><ul><li><a href="https://www.technologyreview.com/s/613899/machine-learning-has-been-used-to-automatically-translate-long-lost-languages/amp/?__twitter_impression=true">Machine learning has been used to automatically translate long-lost languages:</a></li><li><a href="https://www.technologyreview.com/s/613780/machine-learning-is-about-to-revolutionize-the-study-of-ancient-games/">Machine learning is about to revolutionize the study of ancient games:</a></li><li>Others studies: <ul><li><a href="https://twitter.com/hardmaru/status/1071479761556238336">Deep Learning for Classical Japanese Literature:</a></li><li><a href="https://youtu.be/8khPUtwaVaw">In Codice Ratio: Machine Transcription in the Vatican Secret Archive:</a></li><li><a href="https://picampus-school.com/medieval-manuscripts-and-deep-learning-technology/">Reading Medieval Manuscripts with Deep Learning Technology:</a></li></ul></li></ul><p><a href="https://www.technologyreview.com/s/613954/the-next-ai-revolution-will-come-from-machine-learnings-most-underrated-form/">The AI technique that could imbue machines with the ability to reason</a></p><p><a href="https://www.technologyreview.com/f/613924/ai-deepfakes-gans-medical-cancer-diagnosis">A new way to use the AI behind deepfakes could improve cancer diagnosis:</a></p><p>AIs are playing more games:</p><ul><li><a href="https://arstechnica.com/gadgets/2019/07/deepmind-ai-takes-on-the-public-in-starcraft-ii-multiplayer/">DeepMind AI is secretly lurking on the public StarCraft II 1v1 ladder</a></li><li><a href="https://www.polygon.com/2019/7/14/20693903/unbeatable-poker-bot-ai-pluribus-facebook-carnegie-mellon-journal-science">An unbeatable poker bot offers glimpses of video game AI’s future</a></li></ul><p>Relevant learning resources:</p><ul><li><a href="https://github.com/ddbourgin/numpy-ml">NumPy implementations of a bunch of models (from scratch):</a></li><li>Great new-ish NLP courses: <ul><li><a href="https://course.spacy.io/">Advanced NLP with spacy:</a></li><li><a href="https://www.fast.ai/2019/07/08/fastai-nlp/">New fast.ai course! A Code-First Introduction to NLP:</a></li></ul></li><li><a href="https://cloud.google.com/ai-platform/deep-learning-containers">Google Cloud - Deep Learning Containers</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0135957052">“The Pragmatic Programmer” by David Thomas and Andrew Hunt</a></li><li><a href="https://www.amazon.com/dp/1492041130">“Data Science from Scratch” by Joel Grus</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
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      <pubDate>Tue, 30 Jul 2019 15:10:00 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>3291</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Chris and Daniel take the opportunity to catch up on some recent AI news. Among other things, they discuss the increasing impact of AI on studies of the ancient world and “good” uses of GANs. They also provide some more learning resources to help you level up your AI and machine learning game.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.dataengineeringpodcast.com?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">DataEngPodcast</a> – A podcast about data engineering and modern data infrastructure. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>AI is impacting studies of the ancient world:</p><ul><li><a href="https://www.technologyreview.com/s/613899/machine-learning-has-been-used-to-automatically-translate-long-lost-languages/amp/?__twitter_impression=true">Machine learning has been used to automatically translate long-lost languages:</a></li><li><a href="https://www.technologyreview.com/s/613780/machine-learning-is-about-to-revolutionize-the-study-of-ancient-games/">Machine learning is about to revolutionize the study of ancient games:</a></li><li>Others studies: <ul><li><a href="https://twitter.com/hardmaru/status/1071479761556238336">Deep Learning for Classical Japanese Literature:</a></li><li><a href="https://youtu.be/8khPUtwaVaw">In Codice Ratio: Machine Transcription in the Vatican Secret Archive:</a></li><li><a href="https://picampus-school.com/medieval-manuscripts-and-deep-learning-technology/">Reading Medieval Manuscripts with Deep Learning Technology:</a></li></ul></li></ul><p><a href="https://www.technologyreview.com/s/613954/the-next-ai-revolution-will-come-from-machine-learnings-most-underrated-form/">The AI technique that could imbue machines with the ability to reason</a></p><p><a href="https://www.technologyreview.com/f/613924/ai-deepfakes-gans-medical-cancer-diagnosis">A new way to use the AI behind deepfakes could improve cancer diagnosis:</a></p><p>AIs are playing more games:</p><ul><li><a href="https://arstechnica.com/gadgets/2019/07/deepmind-ai-takes-on-the-public-in-starcraft-ii-multiplayer/">DeepMind AI is secretly lurking on the public StarCraft II 1v1 ladder</a></li><li><a href="https://www.polygon.com/2019/7/14/20693903/unbeatable-poker-bot-ai-pluribus-facebook-carnegie-mellon-journal-science">An unbeatable poker bot offers glimpses of video game AI’s future</a></li></ul><p>Relevant learning resources:</p><ul><li><a href="https://github.com/ddbourgin/numpy-ml">NumPy implementations of a bunch of models (from scratch):</a></li><li>Great new-ish NLP courses: <ul><li><a href="https://course.spacy.io/">Advanced NLP with spacy:</a></li><li><a href="https://www.fast.ai/2019/07/08/fastai-nlp/">New fast.ai course! A Code-First Introduction to NLP:</a></li></ul></li><li><a href="https://cloud.google.com/ai-platform/deep-learning-containers">Google Cloud - Deep Learning Containers</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0135957052">“The Pragmatic Programmer” by David Thomas and Andrew Hunt</a></li><li><a href="https://www.amazon.com/dp/1492041130">“Data Science from Scratch” by Joel Grus</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>AI code that facilitates good science</title>
      <itunes:episode>51</itunes:episode>
      <podcast:episode>51</podcast:episode>
      <itunes:title>AI code that facilitates good science</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/757</guid>
      <link>https://share.transistor.fm/s/89070208</link>
      <description>
        <![CDATA[<p>We’re talking with Joel Grus, author of <em>Data Science from Scratch, 2nd Edition</em>, senior research engineer at the Allen Institute for AI (AI2), and maintainer of AllenNLP. We discussed Joel’s book, which has become a personal favorite of the hosts, and why he decided to approach data science and AI “from scratch.” Joel also gives us a glimpse into AI2, an introduction to AllenNLP, and some tips for writing good research code. This episode is packed full of reproducible AI goodness!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.dataengineeringpodcast.com?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">DataEngPodcast</a> – A podcast about data engineering and modern data infrastructure. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Joel Grus – <a href="https://x.com/joelgrus">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://allenai.org/">Allen AI</a></li><li><a href="https://allennlp.org/">AllenNLP</a></li><li><a href="https://demo.allennlp.org">AllenNLP demo website</a></li><li><a href="https://docs.google.com/presentation/d/17NoJY2SnC2UMbVegaRCWA7Oca7UCZ3vHnMqBV4SUayc/edit?usp=sharing">Writing Code for NLP Research​</a></li><li><a href="https://docs.google.com/presentation/d/1n2RlMdmv1p25Xy5thJUhkKGvjtV-dkAIsUXP-AL4ffI/edit?usp=sharing">I don’t like Notebooks</a></li><li><a href="https://joelgrus.com">Joel’s website</a></li><li><a href="http://adversariallearning.com/">Adversarial learning podcast</a></li></ul><p>Books</p><ul><li><a href="https://learning.oreilly.com/library/view/data-science-from/9781492041122/">“Data Science from Scratch” by Joel Grus</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We’re talking with Joel Grus, author of <em>Data Science from Scratch, 2nd Edition</em>, senior research engineer at the Allen Institute for AI (AI2), and maintainer of AllenNLP. We discussed Joel’s book, which has become a personal favorite of the hosts, and why he decided to approach data science and AI “from scratch.” Joel also gives us a glimpse into AI2, an introduction to AllenNLP, and some tips for writing good research code. This episode is packed full of reproducible AI goodness!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.dataengineeringpodcast.com?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">DataEngPodcast</a> – A podcast about data engineering and modern data infrastructure. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Joel Grus – <a href="https://x.com/joelgrus">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://allenai.org/">Allen AI</a></li><li><a href="https://allennlp.org/">AllenNLP</a></li><li><a href="https://demo.allennlp.org">AllenNLP demo website</a></li><li><a href="https://docs.google.com/presentation/d/17NoJY2SnC2UMbVegaRCWA7Oca7UCZ3vHnMqBV4SUayc/edit?usp=sharing">Writing Code for NLP Research​</a></li><li><a href="https://docs.google.com/presentation/d/1n2RlMdmv1p25Xy5thJUhkKGvjtV-dkAIsUXP-AL4ffI/edit?usp=sharing">I don’t like Notebooks</a></li><li><a href="https://joelgrus.com">Joel’s website</a></li><li><a href="http://adversariallearning.com/">Adversarial learning podcast</a></li></ul><p>Books</p><ul><li><a href="https://learning.oreilly.com/library/view/data-science-from/9781492041122/">“Data Science from Scratch” by Joel Grus</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Fri, 19 Jul 2019 14:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/89070208/978c3f3f.mp3" length="76474103" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3181</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We’re talking with Joel Grus, author of <em>Data Science from Scratch, 2nd Edition</em>, senior research engineer at the Allen Institute for AI (AI2), and maintainer of AllenNLP. We discussed Joel’s book, which has become a personal favorite of the hosts, and why he decided to approach data science and AI “from scratch.” Joel also gives us a glimpse into AI2, an introduction to AllenNLP, and some tips for writing good research code. This episode is packed full of reproducible AI goodness!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – The simplest cloud platform for developers and teams Whether you’re running one virtual machine or ten thousand, makes managing your infrastructure too easy. Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.dataengineeringpodcast.com?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">DataEngPodcast</a> – A podcast about data engineering and modern data infrastructure. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Joel Grus – <a href="https://x.com/joelgrus">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://allenai.org/">Allen AI</a></li><li><a href="https://allennlp.org/">AllenNLP</a></li><li><a href="https://demo.allennlp.org">AllenNLP demo website</a></li><li><a href="https://docs.google.com/presentation/d/17NoJY2SnC2UMbVegaRCWA7Oca7UCZ3vHnMqBV4SUayc/edit?usp=sharing">Writing Code for NLP Research​</a></li><li><a href="https://docs.google.com/presentation/d/1n2RlMdmv1p25Xy5thJUhkKGvjtV-dkAIsUXP-AL4ffI/edit?usp=sharing">I don’t like Notebooks</a></li><li><a href="https://joelgrus.com">Joel’s website</a></li><li><a href="http://adversariallearning.com/">Adversarial learning podcast</a></li></ul><p>Books</p><ul><li><a href="https://learning.oreilly.com/library/view/data-science-from/9781492041122/">“Data Science from Scratch” by Joel Grus</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/joelgrus" img="https://img.transistorcdn.com/C_TklBGOSxursvxsunXJ3qqStbZpCiuJip1mqMTPBFQ/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wY2Mx/YWY5ZDNiNzQ4MTEy/YzcyOTMwYzUxYzUy/MDBhYS5qcGc.jpg">Joel Grus</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Celebrating episode 50 and the neural net!</title>
      <itunes:episode>50</itunes:episode>
      <podcast:episode>50</podcast:episode>
      <itunes:title>Celebrating episode 50 and the neural net!</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/750</guid>
      <link>https://share.transistor.fm/s/6441430e</link>
      <description>
        <![CDATA[<p>Woo hoo! As we celebrate reaching episode 50, we come full circle to discuss the basics of neural networks. If you are just jumping into AI, then this is a great primer discussion with which to take that leap.</p><p>Our commitment to making artificial intelligence practical, productive, and accessible to everyone has never been stronger, so we invite you to join us for the next 50 episodes!</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Learn more about neural networks with the following learning resources.</p><p>Books</p><ul><li><a href="http://www.deeplearningbook.org">“Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville</a></li><li><a href="https://learning.oreilly.com/library/view/data-science-from/9781492041122/">“Data Science from Scratch” by Joel Grus</a></li><li>There are literally too many others to name…</li></ul><p>Online Courses</p><ul><li><a href="https://course.fast.ai/">fast.ai MOOC</a></li><li><a href="https://eu.udacity.com/course/deep-learning--ud730">Deep Learning course by Google on Udacity (free)</a></li><li><a href="https://blog.udacity.com/2019/03/learn-tensorflow-for-deep-learning-applications.html">Practical Machine Learning with TensorFlow 2.0 Alpha (free Udacity course)</a></li><li><a href="https://www.deeplearning.ai/deep-learning-specialization">deeplearning.ai Deep Learning Specialization</a></li><li><a href="https://www.coursera.org/learn/introduction-tensorflow">Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (free Coursera course for TensorFlow 2)</a></li><li><a href="https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187">Intro to TensorFlow for Deep Learning by TensorFlow (free Udacity course for TensorFlow 2)</a></li></ul><p>Websites</p><ul><li><a href="https://aischool.microsoft.com">Microsoft AI School</a></li><li><a href="https://www.tensorflow.org/beta">TensorFlow 2 Docs</a></li><li><a href="https://aws.amazon.com/training/learning-paths/machine-learning">Amazon Machine Learning Training</a></li><li><a href="https://pytorch.org">PyTorch</a></li><li><a href="https://ai.facebook.com">Facebook AI</a></li><li><a href="https://ai.google">Google AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Woo hoo! As we celebrate reaching episode 50, we come full circle to discuss the basics of neural networks. If you are just jumping into AI, then this is a great primer discussion with which to take that leap.</p><p>Our commitment to making artificial intelligence practical, productive, and accessible to everyone has never been stronger, so we invite you to join us for the next 50 episodes!</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Learn more about neural networks with the following learning resources.</p><p>Books</p><ul><li><a href="http://www.deeplearningbook.org">“Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville</a></li><li><a href="https://learning.oreilly.com/library/view/data-science-from/9781492041122/">“Data Science from Scratch” by Joel Grus</a></li><li>There are literally too many others to name…</li></ul><p>Online Courses</p><ul><li><a href="https://course.fast.ai/">fast.ai MOOC</a></li><li><a href="https://eu.udacity.com/course/deep-learning--ud730">Deep Learning course by Google on Udacity (free)</a></li><li><a href="https://blog.udacity.com/2019/03/learn-tensorflow-for-deep-learning-applications.html">Practical Machine Learning with TensorFlow 2.0 Alpha (free Udacity course)</a></li><li><a href="https://www.deeplearning.ai/deep-learning-specialization">deeplearning.ai Deep Learning Specialization</a></li><li><a href="https://www.coursera.org/learn/introduction-tensorflow">Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (free Coursera course for TensorFlow 2)</a></li><li><a href="https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187">Intro to TensorFlow for Deep Learning by TensorFlow (free Udacity course for TensorFlow 2)</a></li></ul><p>Websites</p><ul><li><a href="https://aischool.microsoft.com">Microsoft AI School</a></li><li><a href="https://www.tensorflow.org/beta">TensorFlow 2 Docs</a></li><li><a href="https://aws.amazon.com/training/learning-paths/machine-learning">Amazon Machine Learning Training</a></li><li><a href="https://pytorch.org">PyTorch</a></li><li><a href="https://ai.facebook.com">Facebook AI</a></li><li><a href="https://ai.google">Google AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 03 Jul 2019 07:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/6441430e/118a53bc.mp3" length="73443021" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3055</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Woo hoo! As we celebrate reaching episode 50, we come full circle to discuss the basics of neural networks. If you are just jumping into AI, then this is a great primer discussion with which to take that leap.</p><p>Our commitment to making artificial intelligence practical, productive, and accessible to everyone has never been stronger, so we invite you to join us for the next 50 episodes!</p><p><br></p><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Learn more about neural networks with the following learning resources.</p><p>Books</p><ul><li><a href="http://www.deeplearningbook.org">“Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville</a></li><li><a href="https://learning.oreilly.com/library/view/data-science-from/9781492041122/">“Data Science from Scratch” by Joel Grus</a></li><li>There are literally too many others to name…</li></ul><p>Online Courses</p><ul><li><a href="https://course.fast.ai/">fast.ai MOOC</a></li><li><a href="https://eu.udacity.com/course/deep-learning--ud730">Deep Learning course by Google on Udacity (free)</a></li><li><a href="https://blog.udacity.com/2019/03/learn-tensorflow-for-deep-learning-applications.html">Practical Machine Learning with TensorFlow 2.0 Alpha (free Udacity course)</a></li><li><a href="https://www.deeplearning.ai/deep-learning-specialization">deeplearning.ai Deep Learning Specialization</a></li><li><a href="https://www.coursera.org/learn/introduction-tensorflow">Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (free Coursera course for TensorFlow 2)</a></li><li><a href="https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187">Intro to TensorFlow for Deep Learning by TensorFlow (free Udacity course for TensorFlow 2)</a></li></ul><p>Websites</p><ul><li><a href="https://aischool.microsoft.com">Microsoft AI School</a></li><li><a href="https://www.tensorflow.org/beta">TensorFlow 2 Docs</a></li><li><a href="https://aws.amazon.com/training/learning-paths/machine-learning">Amazon Machine Learning Training</a></li><li><a href="https://pytorch.org">PyTorch</a></li><li><a href="https://ai.facebook.com">Facebook AI</a></li><li><a href="https://ai.google">Google AI</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Exposing the deception of DeepFakes</title>
      <itunes:episode>49</itunes:episode>
      <podcast:episode>49</podcast:episode>
      <itunes:title>Exposing the deception of DeepFakes</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/7d6e8141</link>
      <description>
        <![CDATA[<p>This week we bend reality to expose the deceptions of deepfake videos. We talk about what they are, why they are so dangerous, and what you can do to detect and resist their insidious influence. In a political environment rife with distrust, disinformation, and conspiracy theories, deepfakes are being weaponized and proliferated as the latest form of state-sponsored information warfare. Join us for an episode scarier than your favorite horror movie, because this AI bogeyman is real!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.dataengineeringpodcast.com?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">DataEngPodcast</a> – A podcast about data engineering and modern data infrastructure. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://youtu.be/TgcvQA6-qBg">The Dark Knight’s Tale (DeepFake)</a></li><li><a href="https://github.com/yunjey/StarGAN">Official PyTorch Implementation of StarGAN - CVPR 2018</a></li><li><a href="https://www.youtube.com/watch?v=p1b5aiTrGzY">Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (YouTube)</a></li><li><a href="https://arxiv.org/pdf/1905.08233.pdf">Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (PDF)</a></li><li><a href="https://arxiv.org/abs/1906.01083">MelNet: A Generative Model for Audio in the Frequency Domain</a></li><li><a href="https://arxiv.org/pdf/1906.01524.pdf">Text-based Editing of Talking-head Video</a></li><li><a href="https://openai.com/blog/better-language-models">Better Language Models and Their Implications (GPT-2)</a></li><li><a href="https://www.washingtonpost.com/technology/2018/12/30/fake-porn-videos-are-being-weaponized-harass-humiliate-women-everybody-is-potential-target">Fake-porn videos are being weaponized to harass and humiliate women: ‘Everybody is a potential target’</a></li><li><a href="https://intelligence.house.gov/uploadedfiles/clint_watts_-_house_select_committee_on_intelligence_-_ai__deep_fakes_-_13_june_2019.pdf">The National Security Challenges of Artificial Intelligence, Manipulated Media, and<br> “Deepfakes” – 13 June 2019</a></li><li><a href="https://www.reddit.com/r/MachineLearning/comments/by4n8p/p_student_with_access_to_tpu_credits_reproduced">Student with access to TPU credits reproduced GPT2-1.5B and plan to release model</a></li><li><a href="https://paperswithcode.com/search?q=fake+detection">Papers With Code: fake+detection</a></li><li><a href="https://paperswithcode.com/paper/in-ictu-oculi-exposing-ai-generated-fake-face">In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking</a></li><li><a href="https://arxiv.org/pdf/1806.05180v1.pdf">A Retrospective Analysis of the Fake News Challenge Stance Detection Task</a></li><li><a href="https://www.cnet.com/news/deepfake-debunking-tool-may-protect-2020-presidential-candidates-trump-warren-obama-hillary-clinton">Deepfake debunking tool may protect presidential candidates. For now. Sometimes</a></li><li><a href="https://www.deeptracelabs.com">The Era of Fake Videos is Here</a></li><li><a href="https://www.congress.gov/bill/115th-congress/senate-bill/3805/text">S.3805 - Malicious Deep Fake Prohibition Act of 2018</a></li><li><a href="https://changelog.com/practicalai/47">Practical AI episode #47 - GANs, RL, and transfer learning oh my!</a></li><li><a href="https://icml.cc/Conferences/2019/ScheduleMultitrack?event=3512">Synthetic Realities: Deep Learning for Detecting AudioVisual Fakes</a></li><li><a href="https://github.com/amld/workshop-fake-news-detection">Machine Learning for fake news detection: theory and practice</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>This week we bend reality to expose the deceptions of deepfake videos. We talk about what they are, why they are so dangerous, and what you can do to detect and resist their insidious influence. In a political environment rife with distrust, disinformation, and conspiracy theories, deepfakes are being weaponized and proliferated as the latest form of state-sponsored information warfare. Join us for an episode scarier than your favorite horror movie, because this AI bogeyman is real!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.dataengineeringpodcast.com?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">DataEngPodcast</a> – A podcast about data engineering and modern data infrastructure. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://youtu.be/TgcvQA6-qBg">The Dark Knight’s Tale (DeepFake)</a></li><li><a href="https://github.com/yunjey/StarGAN">Official PyTorch Implementation of StarGAN - CVPR 2018</a></li><li><a href="https://www.youtube.com/watch?v=p1b5aiTrGzY">Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (YouTube)</a></li><li><a href="https://arxiv.org/pdf/1905.08233.pdf">Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (PDF)</a></li><li><a href="https://arxiv.org/abs/1906.01083">MelNet: A Generative Model for Audio in the Frequency Domain</a></li><li><a href="https://arxiv.org/pdf/1906.01524.pdf">Text-based Editing of Talking-head Video</a></li><li><a href="https://openai.com/blog/better-language-models">Better Language Models and Their Implications (GPT-2)</a></li><li><a href="https://www.washingtonpost.com/technology/2018/12/30/fake-porn-videos-are-being-weaponized-harass-humiliate-women-everybody-is-potential-target">Fake-porn videos are being weaponized to harass and humiliate women: ‘Everybody is a potential target’</a></li><li><a href="https://intelligence.house.gov/uploadedfiles/clint_watts_-_house_select_committee_on_intelligence_-_ai__deep_fakes_-_13_june_2019.pdf">The National Security Challenges of Artificial Intelligence, Manipulated Media, and<br> “Deepfakes” – 13 June 2019</a></li><li><a href="https://www.reddit.com/r/MachineLearning/comments/by4n8p/p_student_with_access_to_tpu_credits_reproduced">Student with access to TPU credits reproduced GPT2-1.5B and plan to release model</a></li><li><a href="https://paperswithcode.com/search?q=fake+detection">Papers With Code: fake+detection</a></li><li><a href="https://paperswithcode.com/paper/in-ictu-oculi-exposing-ai-generated-fake-face">In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking</a></li><li><a href="https://arxiv.org/pdf/1806.05180v1.pdf">A Retrospective Analysis of the Fake News Challenge Stance Detection Task</a></li><li><a href="https://www.cnet.com/news/deepfake-debunking-tool-may-protect-2020-presidential-candidates-trump-warren-obama-hillary-clinton">Deepfake debunking tool may protect presidential candidates. For now. Sometimes</a></li><li><a href="https://www.deeptracelabs.com">The Era of Fake Videos is Here</a></li><li><a href="https://www.congress.gov/bill/115th-congress/senate-bill/3805/text">S.3805 - Malicious Deep Fake Prohibition Act of 2018</a></li><li><a href="https://changelog.com/practicalai/47">Practical AI episode #47 - GANs, RL, and transfer learning oh my!</a></li><li><a href="https://icml.cc/Conferences/2019/ScheduleMultitrack?event=3512">Synthetic Realities: Deep Learning for Detecting AudioVisual Fakes</a></li><li><a href="https://github.com/amld/workshop-fake-news-detection">Machine Learning for fake news detection: theory and practice</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 25 Jun 2019 12:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/7d6e8141/6ea22bc0.mp3" length="79700503" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3316</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>This week we bend reality to expose the deceptions of deepfake videos. We talk about what they are, why they are so dangerous, and what you can do to detect and resist their insidious influence. In a political environment rife with distrust, disinformation, and conspiracy theories, deepfakes are being weaponized and proliferated as the latest form of state-sponsored information warfare. Join us for an episode scarier than your favorite horror movie, because this AI bogeyman is real!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.dataengineeringpodcast.com?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">DataEngPodcast</a> – A podcast about data engineering and modern data infrastructure. </li><li><a href="https://changelog.com/brainscience">Brain Science</a> – For the curious! Brain Science is our new podcast exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human. It’s Brain Science applied — not just how does the brain work, but how do we apply what we know about the brain to transform our lives. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://youtu.be/TgcvQA6-qBg">The Dark Knight’s Tale (DeepFake)</a></li><li><a href="https://github.com/yunjey/StarGAN">Official PyTorch Implementation of StarGAN - CVPR 2018</a></li><li><a href="https://www.youtube.com/watch?v=p1b5aiTrGzY">Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (YouTube)</a></li><li><a href="https://arxiv.org/pdf/1905.08233.pdf">Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (PDF)</a></li><li><a href="https://arxiv.org/abs/1906.01083">MelNet: A Generative Model for Audio in the Frequency Domain</a></li><li><a href="https://arxiv.org/pdf/1906.01524.pdf">Text-based Editing of Talking-head Video</a></li><li><a href="https://openai.com/blog/better-language-models">Better Language Models and Their Implications (GPT-2)</a></li><li><a href="https://www.washingtonpost.com/technology/2018/12/30/fake-porn-videos-are-being-weaponized-harass-humiliate-women-everybody-is-potential-target">Fake-porn videos are being weaponized to harass and humiliate women: ‘Everybody is a potential target’</a></li><li><a href="https://intelligence.house.gov/uploadedfiles/clint_watts_-_house_select_committee_on_intelligence_-_ai__deep_fakes_-_13_june_2019.pdf">The National Security Challenges of Artificial Intelligence, Manipulated Media, and<br> “Deepfakes” – 13 June 2019</a></li><li><a href="https://www.reddit.com/r/MachineLearning/comments/by4n8p/p_student_with_access_to_tpu_credits_reproduced">Student with access to TPU credits reproduced GPT2-1.5B and plan to release model</a></li><li><a href="https://paperswithcode.com/search?q=fake+detection">Papers With Code: fake+detection</a></li><li><a href="https://paperswithcode.com/paper/in-ictu-oculi-exposing-ai-generated-fake-face">In Ictu Oculi: Exposing AI Generated Fake Face Videos by Detecting Eye Blinking</a></li><li><a href="https://arxiv.org/pdf/1806.05180v1.pdf">A Retrospective Analysis of the Fake News Challenge Stance Detection Task</a></li><li><a href="https://www.cnet.com/news/deepfake-debunking-tool-may-protect-2020-presidential-candidates-trump-warren-obama-hillary-clinton">Deepfake debunking tool may protect presidential candidates. For now. Sometimes</a></li><li><a href="https://www.deeptracelabs.com">The Era of Fake Videos is Here</a></li><li><a href="https://www.congress.gov/bill/115th-congress/senate-bill/3805/text">S.3805 - Malicious Deep Fake Prohibition Act of 2018</a></li><li><a href="https://changelog.com/practicalai/47">Practical AI episode #47 - GANs, RL, and transfer learning oh my!</a></li><li><a href="https://icml.cc/Conferences/2019/ScheduleMultitrack?event=3512">Synthetic Realities: Deep Learning for Detecting AudioVisual Fakes</a></li><li><a href="https://github.com/amld/workshop-fake-news-detection">Machine Learning for fake news detection: theory and practice</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Model inspection and interpretation at Seldon</title>
      <itunes:episode>48</itunes:episode>
      <podcast:episode>48</podcast:episode>
      <itunes:title>Model inspection and interpretation at Seldon</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/742</guid>
      <link>https://share.transistor.fm/s/743c2f04</link>
      <description>
        <![CDATA[<p>Interpreting complicated models is a hot topic. How can we trust and manage AI models that we can’t explain? In this episode, Janis Klaise, a data scientist with Seldon, joins us to talk about model interpretation and Seldon’s new open source project called <a href="https://github.com/SeldonIO/alibi">Alibi</a>. Janis also gives some of his thoughts on production ML/AI and how Seldon addresses related problems.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.dataengineeringpodcast.com?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">DataEngPodcast</a> – A podcast about data engineering and modern data infrastructure. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Janis Klaise – <a href="https://github.com/jklaise">GitHub</a>, <a href="https://www.linkedin.com/in/jklaise">LinkedIn</a>, <a href="https://x.com/jklaise">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.seldon.io/">Seldon</a></li><li><a href="https://github.com/SeldonIO/seldon-core">Seldon Core</a></li><li><a href="https://github.com/SeldonIO/alibi">Alibi</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/B01EFDEMS8">“The Foundation Series” by Isaac Asimov</a></li><li><a href="https://christophm.github.io/interpretable-ml-book/">“Interpretable Machine Learning” by Christoph Molnar</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Interpreting complicated models is a hot topic. How can we trust and manage AI models that we can’t explain? In this episode, Janis Klaise, a data scientist with Seldon, joins us to talk about model interpretation and Seldon’s new open source project called <a href="https://github.com/SeldonIO/alibi">Alibi</a>. Janis also gives some of his thoughts on production ML/AI and how Seldon addresses related problems.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.dataengineeringpodcast.com?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">DataEngPodcast</a> – A podcast about data engineering and modern data infrastructure. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Janis Klaise – <a href="https://github.com/jklaise">GitHub</a>, <a href="https://www.linkedin.com/in/jklaise">LinkedIn</a>, <a href="https://x.com/jklaise">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.seldon.io/">Seldon</a></li><li><a href="https://github.com/SeldonIO/seldon-core">Seldon Core</a></li><li><a href="https://github.com/SeldonIO/alibi">Alibi</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/B01EFDEMS8">“The Foundation Series” by Isaac Asimov</a></li><li><a href="https://christophm.github.io/interpretable-ml-book/">“Interpretable Machine Learning” by Christoph Molnar</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 17 Jun 2019 11:09:18 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/743c2f04/9b2a5be7.mp3" length="63122165" type="audio/mpeg"/>
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      <itunes:duration>2624</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Interpreting complicated models is a hot topic. How can we trust and manage AI models that we can’t explain? In this episode, Janis Klaise, a data scientist with Seldon, joins us to talk about model interpretation and Seldon’s new open source project called <a href="https://github.com/SeldonIO/alibi">Alibi</a>. Janis also gives some of his thoughts on production ML/AI and how Seldon addresses related problems.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.dataengineeringpodcast.com?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">DataEngPodcast</a> – A podcast about data engineering and modern data infrastructure. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Janis Klaise – <a href="https://github.com/jklaise">GitHub</a>, <a href="https://www.linkedin.com/in/jklaise">LinkedIn</a>, <a href="https://x.com/jklaise">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.seldon.io/">Seldon</a></li><li><a href="https://github.com/SeldonIO/seldon-core">Seldon Core</a></li><li><a href="https://github.com/SeldonIO/alibi">Alibi</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/B01EFDEMS8">“The Foundation Series” by Isaac Asimov</a></li><li><a href="https://christophm.github.io/interpretable-ml-book/">“Interpretable Machine Learning” by Christoph Molnar</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/jklaise" img="https://img.transistorcdn.com/AIaCLDgM5-AlUArkK16Cz0RBRkEAqxRebUFPS4KiJiE/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hNTMz/YTc0N2FhZmIxMDQx/M2QyZmQ2MTdlMWMx/ODRmOC5qcGc.jpg">Janis Klaise</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>GANs, RL, and transfer learning oh my!</title>
      <itunes:episode>47</itunes:episode>
      <podcast:episode>47</podcast:episode>
      <itunes:title>GANs, RL, and transfer learning oh my!</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/738</guid>
      <link>https://share.transistor.fm/s/2e2248f6</link>
      <description>
        <![CDATA[<p>Daniel and Chris explore three potentially confusing topics - generative adversarial networks (GANs), deep reinforcement learning (DRL), and transfer learning. Are these types of neural network architectures? Are they something different? How are they used? Well, If you have ever wondered how AI can be creative, wished you understood how robots get their smarts, or were impressed at how some AI practitioners conquer big challenges quickly, then this is your episode!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://bit.ly/2OWMyw2">Discover.bot</a> – <strong>A digital space for bot developers and enthusiasts of all skill levels</strong> to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their <a href="https://bit.ly/2Vxk7qO">Guide to Bot Building Frameworks</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>SUBSCRIBE ~&gt; <a href="https://changelog.com/brainscience">Brain Science</a> — For the curious! We’re exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human.</p><ul><li>RL (Reinforcement learning) <ul><li><a href="https://skymind.ai/wiki/deep-reinforcement-learning">Good overview article</a></li><li><a href="https://twitter.com/DeepMindAI/status/1134158019133136896">Human-level performance in Quake III–Capture the Flag</a></li><li><a href="https://changelog.com/practicalai/40">Practical AI episode about Deep Reinforcement Learning</a></li><li><a href="https://changelog.com/practicalai/14">Practical AI episode about OpenAI, reinforcement learning, robots, and safety</a></li><li><a href="https://pytorch.org/tutorials/intermediate/reinforcement_q_learning.html">PyTorch RL tutorial</a></li></ul></li><li>GANs (Generative Adversarial Networks) <ul><li><a href="https://skymind.ai/wiki/generative-adversarial-network-gan">Good overview article</a></li><li><a href="https://thispersondoesnotexist.com/">This is not a person website</a></li><li><a href="https://www.christies.com/features/A-collaboration-between-two-artists-one-human-one-a-machine-9332-1.aspx">Christie’s AI art auction</a></li><li><a href="https://openai.com/blog/generative-models/">OpenAI Generative models</a></li><li><a href="https://www.tensorflow.org/alpha/tutorials/generative/dcgan">TensorFlow GAN tutorial</a></li></ul></li><li>Transfer learning <ul><li><a href="https://blog.fastforwardlabs.com/2018/09/17/deep-learning-is-easy-an-introduction-to-transfer-learning.html">Good overview article</a></li><li><a href="https://www.forbes.com/sites/kalevleetaru/2019/05/28/googles-automl-and-bigquery-ml-the-rise-of-one-click-hyperscale-machine-learning/#6380aca32895">Forbes article on Google AutoML</a></li><li><a href="https://changelog.com/practicalai/22">Practical AI episode on BERT</a></li><li><a href="https://changelog.com/practicalai/32">Practical AI episode on GPT-2</a></li><li><a href="https://medium.com/huggingface/how-to-build-a-state-of-the-art-conversational-ai-with-transfer-learning-2d818ac26313">How to build a State-of-the-Art Conversational AI with Transfer Learning</a><br> -<a href="https://twitter.com/seb_ruder/status/1135223959828537344">NAACL workshop on transfer learning for NLP</a></li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Daniel and Chris explore three potentially confusing topics - generative adversarial networks (GANs), deep reinforcement learning (DRL), and transfer learning. Are these types of neural network architectures? Are they something different? How are they used? Well, If you have ever wondered how AI can be creative, wished you understood how robots get their smarts, or were impressed at how some AI practitioners conquer big challenges quickly, then this is your episode!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://bit.ly/2OWMyw2">Discover.bot</a> – <strong>A digital space for bot developers and enthusiasts of all skill levels</strong> to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their <a href="https://bit.ly/2Vxk7qO">Guide to Bot Building Frameworks</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>SUBSCRIBE ~&gt; <a href="https://changelog.com/brainscience">Brain Science</a> — For the curious! We’re exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human.</p><ul><li>RL (Reinforcement learning) <ul><li><a href="https://skymind.ai/wiki/deep-reinforcement-learning">Good overview article</a></li><li><a href="https://twitter.com/DeepMindAI/status/1134158019133136896">Human-level performance in Quake III–Capture the Flag</a></li><li><a href="https://changelog.com/practicalai/40">Practical AI episode about Deep Reinforcement Learning</a></li><li><a href="https://changelog.com/practicalai/14">Practical AI episode about OpenAI, reinforcement learning, robots, and safety</a></li><li><a href="https://pytorch.org/tutorials/intermediate/reinforcement_q_learning.html">PyTorch RL tutorial</a></li></ul></li><li>GANs (Generative Adversarial Networks) <ul><li><a href="https://skymind.ai/wiki/generative-adversarial-network-gan">Good overview article</a></li><li><a href="https://thispersondoesnotexist.com/">This is not a person website</a></li><li><a href="https://www.christies.com/features/A-collaboration-between-two-artists-one-human-one-a-machine-9332-1.aspx">Christie’s AI art auction</a></li><li><a href="https://openai.com/blog/generative-models/">OpenAI Generative models</a></li><li><a href="https://www.tensorflow.org/alpha/tutorials/generative/dcgan">TensorFlow GAN tutorial</a></li></ul></li><li>Transfer learning <ul><li><a href="https://blog.fastforwardlabs.com/2018/09/17/deep-learning-is-easy-an-introduction-to-transfer-learning.html">Good overview article</a></li><li><a href="https://www.forbes.com/sites/kalevleetaru/2019/05/28/googles-automl-and-bigquery-ml-the-rise-of-one-click-hyperscale-machine-learning/#6380aca32895">Forbes article on Google AutoML</a></li><li><a href="https://changelog.com/practicalai/22">Practical AI episode on BERT</a></li><li><a href="https://changelog.com/practicalai/32">Practical AI episode on GPT-2</a></li><li><a href="https://medium.com/huggingface/how-to-build-a-state-of-the-art-conversational-ai-with-transfer-learning-2d818ac26313">How to build a State-of-the-Art Conversational AI with Transfer Learning</a><br> -<a href="https://twitter.com/seb_ruder/status/1135223959828537344">NAACL workshop on transfer learning for NLP</a></li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 11 Jun 2019 07:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3093</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Daniel and Chris explore three potentially confusing topics - generative adversarial networks (GANs), deep reinforcement learning (DRL), and transfer learning. Are these types of neural network architectures? Are they something different? How are they used? Well, If you have ever wondered how AI can be creative, wished you understood how robots get their smarts, or were impressed at how some AI practitioners conquer big challenges quickly, then this is your episode!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://bit.ly/2OWMyw2">Discover.bot</a> – <strong>A digital space for bot developers and enthusiasts of all skill levels</strong> to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their <a href="https://bit.ly/2Vxk7qO">Guide to Bot Building Frameworks</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>SUBSCRIBE ~&gt; <a href="https://changelog.com/brainscience">Brain Science</a> — For the curious! We’re exploring the inner-workings of the human brain to understand behavior change, habit formation, mental health, and being human.</p><ul><li>RL (Reinforcement learning) <ul><li><a href="https://skymind.ai/wiki/deep-reinforcement-learning">Good overview article</a></li><li><a href="https://twitter.com/DeepMindAI/status/1134158019133136896">Human-level performance in Quake III–Capture the Flag</a></li><li><a href="https://changelog.com/practicalai/40">Practical AI episode about Deep Reinforcement Learning</a></li><li><a href="https://changelog.com/practicalai/14">Practical AI episode about OpenAI, reinforcement learning, robots, and safety</a></li><li><a href="https://pytorch.org/tutorials/intermediate/reinforcement_q_learning.html">PyTorch RL tutorial</a></li></ul></li><li>GANs (Generative Adversarial Networks) <ul><li><a href="https://skymind.ai/wiki/generative-adversarial-network-gan">Good overview article</a></li><li><a href="https://thispersondoesnotexist.com/">This is not a person website</a></li><li><a href="https://www.christies.com/features/A-collaboration-between-two-artists-one-human-one-a-machine-9332-1.aspx">Christie’s AI art auction</a></li><li><a href="https://openai.com/blog/generative-models/">OpenAI Generative models</a></li><li><a href="https://www.tensorflow.org/alpha/tutorials/generative/dcgan">TensorFlow GAN tutorial</a></li></ul></li><li>Transfer learning <ul><li><a href="https://blog.fastforwardlabs.com/2018/09/17/deep-learning-is-easy-an-introduction-to-transfer-learning.html">Good overview article</a></li><li><a href="https://www.forbes.com/sites/kalevleetaru/2019/05/28/googles-automl-and-bigquery-ml-the-rise-of-one-click-hyperscale-machine-learning/#6380aca32895">Forbes article on Google AutoML</a></li><li><a href="https://changelog.com/practicalai/22">Practical AI episode on BERT</a></li><li><a href="https://changelog.com/practicalai/32">Practical AI episode on GPT-2</a></li><li><a href="https://medium.com/huggingface/how-to-build-a-state-of-the-art-conversational-ai-with-transfer-learning-2d818ac26313">How to build a State-of-the-Art Conversational AI with Transfer Learning</a><br> -<a href="https://twitter.com/seb_ruder/status/1135223959828537344">NAACL workshop on transfer learning for NLP</a></li></ul></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Visualizing and understanding RNNs</title>
      <itunes:episode>46</itunes:episode>
      <podcast:episode>46</podcast:episode>
      <itunes:title>Visualizing and understanding RNNs</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/735</guid>
      <link>https://share.transistor.fm/s/d218af2a</link>
      <description>
        <![CDATA[<p>Andreas Madsen, a freelance ML/AI engineer and Distill.pub author, joins us to discuss his work visualizing neural networks and recurrent neural units. Andreas discusses various neural unites, RNNs in general, and the “why” of neural network visualization. He also gives us his perspective on ML/AI freelancing and moving from web development to AI research.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://bit.ly/2OWMyw2">Discover.bot</a> – <strong>A digital space for bot developers and enthusiasts of all skill levels</strong> to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their <a href="https://bit.ly/2Vxk7qO">Guide to Bot Building Frameworks</a>. </li><li><a href="https://www.strongdm.com/?utm_source=changelog">strongDM</a> – Manage access to any database, server, and environment. strongDM makes it easy for DevOps to enforce the controls InfoSec teams require. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Andreas Madsen – <a href="https://github.com/AndreasMadsen">GitHub</a>, <a href="https://x.com/andreas_madsen">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://distill.pub/2019/memorization-in-rnns/">Distill.pub by Andreas</a></li><li><a href="https://medium.com/@rajarshi.banerjee47/the-mathematics-of-neural-networks-5af71963e538">Taylor approximation and other mathematics related to neural networks</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0596529325">“Programming Collective Intelligence” by Toby Segaran</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Andreas Madsen, a freelance ML/AI engineer and Distill.pub author, joins us to discuss his work visualizing neural networks and recurrent neural units. Andreas discusses various neural unites, RNNs in general, and the “why” of neural network visualization. He also gives us his perspective on ML/AI freelancing and moving from web development to AI research.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://bit.ly/2OWMyw2">Discover.bot</a> – <strong>A digital space for bot developers and enthusiasts of all skill levels</strong> to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their <a href="https://bit.ly/2Vxk7qO">Guide to Bot Building Frameworks</a>. </li><li><a href="https://www.strongdm.com/?utm_source=changelog">strongDM</a> – Manage access to any database, server, and environment. strongDM makes it easy for DevOps to enforce the controls InfoSec teams require. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Andreas Madsen – <a href="https://github.com/AndreasMadsen">GitHub</a>, <a href="https://x.com/andreas_madsen">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://distill.pub/2019/memorization-in-rnns/">Distill.pub by Andreas</a></li><li><a href="https://medium.com/@rajarshi.banerjee47/the-mathematics-of-neural-networks-5af71963e538">Taylor approximation and other mathematics related to neural networks</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0596529325">“Programming Collective Intelligence” by Toby Segaran</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 04 Jun 2019 07:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/d218af2a/9b10805b.mp3" length="66826185" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2779</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Andreas Madsen, a freelance ML/AI engineer and Distill.pub author, joins us to discuss his work visualizing neural networks and recurrent neural units. Andreas discusses various neural unites, RNNs in general, and the “why” of neural network visualization. He also gives us his perspective on ML/AI freelancing and moving from web development to AI research.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://bit.ly/2OWMyw2">Discover.bot</a> – <strong>A digital space for bot developers and enthusiasts of all skill levels</strong> to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their <a href="https://bit.ly/2Vxk7qO">Guide to Bot Building Frameworks</a>. </li><li><a href="https://www.strongdm.com/?utm_source=changelog">strongDM</a> – Manage access to any database, server, and environment. strongDM makes it easy for DevOps to enforce the controls InfoSec teams require. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Andreas Madsen – <a href="https://github.com/AndreasMadsen">GitHub</a>, <a href="https://x.com/andreas_madsen">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://distill.pub/2019/memorization-in-rnns/">Distill.pub by Andreas</a></li><li><a href="https://medium.com/@rajarshi.banerjee47/the-mathematics-of-neural-networks-5af71963e538">Taylor approximation and other mathematics related to neural networks</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0596529325">“Programming Collective Intelligence” by Toby Segaran</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/andreasmadsen" img="https://img.transistorcdn.com/VjTyZctqJWwfc88YzNfBlmO_mj5nA40CZRmzbTC2GZ0/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xOTQ3/Njg2NjM4NDI1MGEz/Yzk5MGEwY2EzYTkz/ZjRlZC5qcGc.jpg">Andreas Madsen</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>How to get plugged into the AI community</title>
      <itunes:episode>45</itunes:episode>
      <podcast:episode>45</podcast:episode>
      <itunes:title>How to get plugged into the AI community</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/728</guid>
      <link>https://share.transistor.fm/s/29f0af23</link>
      <description>
        <![CDATA[<p>Chris and Daniel take you on a tour of local and global AI events, and discuss how to get the most out of your experiences. From access to experts to developing new industry relationships, learn how to get your foot in the door and make connections that help you grow as an AI practitioner.</p><p>Then drawing from their own wealth of experience as speakers, they dive into what it takes to give a memorable world-class talk that your audience will love. They break down how to select the topic, write the abstract, put the presentation together, and deliver the narrative with impact!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.strongdm.com/?utm_source=changelog">strongDM</a> – Manage access to any database, server, and environment. strongDM makes it easy for DevOps to enforce the controls InfoSec teams require. </li><li><a href="https://bit.ly/2OWMyw2">Discover.bot</a> – <strong>A digital space for bot developers and enthusiasts of all skill levels</strong> to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their <a href="https://bit.ly/2Vxk7qO">Guide to Bot Building Frameworks</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>Local Meetups - Great for first steps, local help and relationship building, job connections, involvement in local projects, etc. Mostly free! <ul><li><a href="https://pydata.org/">PyData</a></li><li>TensorFlow</li><li>PyTorch</li><li>Deep Learning</li><li>etc.</li></ul></li><li>Large industry conferences - Great to see what some of the larger companies and innovative startups are doing with AI, application and infra focused, etc. Expensive. <ul><li><a href="https://www.oreilly.com/conferences/">O’Reilly AI, Strata Data, TensorFlow World</a></li><li><a href="https://qconferences.com/">QCon AI, QCon</a></li><li><a href="https://databricks.com/sparkaisummit">Spark Summit</a></li><li><a href="https://mlconf.com/">MLConf</a></li><li><a href="https://www.appliedmldays.org/">Applied Machine Learning Days</a></li><li><a href="https://us.pycon.org/2019/">PyCon</a></li><li><a href="https://www.liveworx.com/">LiveWorx</a></li><li>etc.</li></ul></li><li>Smaller, topical events or events focused on particular tools - Great if you are heavily invested in particular tech or a topic like NLP. In general you have to look around quite a bit to find these. <ul><li><a href="https://www.tensorflow.org/dev-summit">TensorFlow dev summit</a></li><li><a href="https://irl.spacy.io/2019/">Spacy IRL</a></li><li>PyTorch developers conference</li><li>AllenNLP Summit</li><li><a href="https://www.appliedai.co.uk/">Applied Artificial Intelligence Conference</a></li><li>DataSciConhttps://datascicon.tech/</li><li>Etc.</li></ul></li><li>Research conferences - Meant to be an outlet for original research. Great to see how research orgs/institutions are pushing the boundaries and doing groundbreaking things. Hard to get into and very academic. <ul><li><a href="https://nips.cc/">NeurIPS</a></li><li><a href="https://www.emnlp-ijcnlp2019.org/">EMNLP</a></li><li><a href="https://iclr.cc/">ICLR</a></li><li><a href="http://cvpr2019.thecvf.com/">CVPR</a></li><li>etc.</li></ul></li></ul><p>Some conference talks from the Practical AI hosts:</p><ul><li>Chris Benson’s upcoming talk at LiveWorx 2019 in Boston on Wednesday, June 12, 2019: <a href="https://www.liveworx.com/presenters/chris-benson">Artificial Intelligence Strategy: Digital Transformation Through Deep Learning</a></li><li><a href="https://www.youtube.com/playlist?list=PLzhVyvJIblj3v80kmD7DkXfUj14SlK8EE">Examples of previous AI talks by Chris Benson</a></li><li><a href="https://youtu.be/OZSA5hmkb0o">Building GPU-Accelerated Workflows with TensorFlow and Kubernetes</a></li><li><a href="https://youtu.be/TmTYenyOU0s">Fully Reproducible ML Deployment with Spark, Pachyderm, and MLeap</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Chris and Daniel take you on a tour of local and global AI events, and discuss how to get the most out of your experiences. From access to experts to developing new industry relationships, learn how to get your foot in the door and make connections that help you grow as an AI practitioner.</p><p>Then drawing from their own wealth of experience as speakers, they dive into what it takes to give a memorable world-class talk that your audience will love. They break down how to select the topic, write the abstract, put the presentation together, and deliver the narrative with impact!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.strongdm.com/?utm_source=changelog">strongDM</a> – Manage access to any database, server, and environment. strongDM makes it easy for DevOps to enforce the controls InfoSec teams require. </li><li><a href="https://bit.ly/2OWMyw2">Discover.bot</a> – <strong>A digital space for bot developers and enthusiasts of all skill levels</strong> to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their <a href="https://bit.ly/2Vxk7qO">Guide to Bot Building Frameworks</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>Local Meetups - Great for first steps, local help and relationship building, job connections, involvement in local projects, etc. Mostly free! <ul><li><a href="https://pydata.org/">PyData</a></li><li>TensorFlow</li><li>PyTorch</li><li>Deep Learning</li><li>etc.</li></ul></li><li>Large industry conferences - Great to see what some of the larger companies and innovative startups are doing with AI, application and infra focused, etc. Expensive. <ul><li><a href="https://www.oreilly.com/conferences/">O’Reilly AI, Strata Data, TensorFlow World</a></li><li><a href="https://qconferences.com/">QCon AI, QCon</a></li><li><a href="https://databricks.com/sparkaisummit">Spark Summit</a></li><li><a href="https://mlconf.com/">MLConf</a></li><li><a href="https://www.appliedmldays.org/">Applied Machine Learning Days</a></li><li><a href="https://us.pycon.org/2019/">PyCon</a></li><li><a href="https://www.liveworx.com/">LiveWorx</a></li><li>etc.</li></ul></li><li>Smaller, topical events or events focused on particular tools - Great if you are heavily invested in particular tech or a topic like NLP. In general you have to look around quite a bit to find these. <ul><li><a href="https://www.tensorflow.org/dev-summit">TensorFlow dev summit</a></li><li><a href="https://irl.spacy.io/2019/">Spacy IRL</a></li><li>PyTorch developers conference</li><li>AllenNLP Summit</li><li><a href="https://www.appliedai.co.uk/">Applied Artificial Intelligence Conference</a></li><li>DataSciConhttps://datascicon.tech/</li><li>Etc.</li></ul></li><li>Research conferences - Meant to be an outlet for original research. Great to see how research orgs/institutions are pushing the boundaries and doing groundbreaking things. Hard to get into and very academic. <ul><li><a href="https://nips.cc/">NeurIPS</a></li><li><a href="https://www.emnlp-ijcnlp2019.org/">EMNLP</a></li><li><a href="https://iclr.cc/">ICLR</a></li><li><a href="http://cvpr2019.thecvf.com/">CVPR</a></li><li>etc.</li></ul></li></ul><p>Some conference talks from the Practical AI hosts:</p><ul><li>Chris Benson’s upcoming talk at LiveWorx 2019 in Boston on Wednesday, June 12, 2019: <a href="https://www.liveworx.com/presenters/chris-benson">Artificial Intelligence Strategy: Digital Transformation Through Deep Learning</a></li><li><a href="https://www.youtube.com/playlist?list=PLzhVyvJIblj3v80kmD7DkXfUj14SlK8EE">Examples of previous AI talks by Chris Benson</a></li><li><a href="https://youtu.be/OZSA5hmkb0o">Building GPU-Accelerated Workflows with TensorFlow and Kubernetes</a></li><li><a href="https://youtu.be/TmTYenyOU0s">Fully Reproducible ML Deployment with Spark, Pachyderm, and MLeap</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 28 May 2019 12:30:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/29f0af23/d1777760.mp3" length="89908069" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3742</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Chris and Daniel take you on a tour of local and global AI events, and discuss how to get the most out of your experiences. From access to experts to developing new industry relationships, learn how to get your foot in the door and make connections that help you grow as an AI practitioner.</p><p>Then drawing from their own wealth of experience as speakers, they dive into what it takes to give a memorable world-class talk that your audience will love. They break down how to select the topic, write the abstract, put the presentation together, and deliver the narrative with impact!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.strongdm.com/?utm_source=changelog">strongDM</a> – Manage access to any database, server, and environment. strongDM makes it easy for DevOps to enforce the controls InfoSec teams require. </li><li><a href="https://bit.ly/2OWMyw2">Discover.bot</a> – <strong>A digital space for bot developers and enthusiasts of all skill levels</strong> to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their <a href="https://bit.ly/2Vxk7qO">Guide to Bot Building Frameworks</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>Local Meetups - Great for first steps, local help and relationship building, job connections, involvement in local projects, etc. Mostly free! <ul><li><a href="https://pydata.org/">PyData</a></li><li>TensorFlow</li><li>PyTorch</li><li>Deep Learning</li><li>etc.</li></ul></li><li>Large industry conferences - Great to see what some of the larger companies and innovative startups are doing with AI, application and infra focused, etc. Expensive. <ul><li><a href="https://www.oreilly.com/conferences/">O’Reilly AI, Strata Data, TensorFlow World</a></li><li><a href="https://qconferences.com/">QCon AI, QCon</a></li><li><a href="https://databricks.com/sparkaisummit">Spark Summit</a></li><li><a href="https://mlconf.com/">MLConf</a></li><li><a href="https://www.appliedmldays.org/">Applied Machine Learning Days</a></li><li><a href="https://us.pycon.org/2019/">PyCon</a></li><li><a href="https://www.liveworx.com/">LiveWorx</a></li><li>etc.</li></ul></li><li>Smaller, topical events or events focused on particular tools - Great if you are heavily invested in particular tech or a topic like NLP. In general you have to look around quite a bit to find these. <ul><li><a href="https://www.tensorflow.org/dev-summit">TensorFlow dev summit</a></li><li><a href="https://irl.spacy.io/2019/">Spacy IRL</a></li><li>PyTorch developers conference</li><li>AllenNLP Summit</li><li><a href="https://www.appliedai.co.uk/">Applied Artificial Intelligence Conference</a></li><li>DataSciConhttps://datascicon.tech/</li><li>Etc.</li></ul></li><li>Research conferences - Meant to be an outlet for original research. Great to see how research orgs/institutions are pushing the boundaries and doing groundbreaking things. Hard to get into and very academic. <ul><li><a href="https://nips.cc/">NeurIPS</a></li><li><a href="https://www.emnlp-ijcnlp2019.org/">EMNLP</a></li><li><a href="https://iclr.cc/">ICLR</a></li><li><a href="http://cvpr2019.thecvf.com/">CVPR</a></li><li>etc.</li></ul></li></ul><p>Some conference talks from the Practical AI hosts:</p><ul><li>Chris Benson’s upcoming talk at LiveWorx 2019 in Boston on Wednesday, June 12, 2019: <a href="https://www.liveworx.com/presenters/chris-benson">Artificial Intelligence Strategy: Digital Transformation Through Deep Learning</a></li><li><a href="https://www.youtube.com/playlist?list=PLzhVyvJIblj3v80kmD7DkXfUj14SlK8EE">Examples of previous AI talks by Chris Benson</a></li><li><a href="https://youtu.be/OZSA5hmkb0o">Building GPU-Accelerated Workflows with TensorFlow and Kubernetes</a></li><li><a href="https://youtu.be/TmTYenyOU0s">Fully Reproducible ML Deployment with Spark, Pachyderm, and MLeap</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>AI adoption in the enterprise</title>
      <itunes:episode>44</itunes:episode>
      <podcast:episode>44</podcast:episode>
      <itunes:title>AI adoption in the enterprise</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/722</guid>
      <link>https://share.transistor.fm/s/651a136d</link>
      <description>
        <![CDATA[<p>At the recent O’Reilly AI Conference in New York City, Chris met up with O’Reilly Chief Data Scientist Ben Lorica, the Program Chair for Strata Data, the AI Conference, and TensorFlow World.</p><p>O’Reilly’s ‘<a href="https://www.oreilly.com/data/free/ai-adoption-in-the-enterprise.csp">AI Adoption in the Enterprise</a>’ report had just been released, so naturally Ben and Chris wanted to do a deep dive into enterprise AI adoption to discuss strategy, execution, and implications.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.strongdm.com/?utm_source=changelog">strongDM</a> – Manage access to any database, server, and environment. strongDM makes it easy for DevOps to enforce the controls InfoSec teams require. </li><li><a href="https://bit.ly/2OWMyw2">Discover.bot</a> – <strong>A digital space for bot developers and enthusiasts of all skill levels</strong> to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their <a href="https://bit.ly/2Vxk7qO">Guide to Bot Building Frameworks</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li></ul><p>Featuring:</p><ul><li>Ben Lorica – <a href="https://gradientflow.com/">Website</a>, <a href="https://www.linkedin.com/in/benlorica">LinkedIn</a>, <a href="https://x.com/bigdata">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.oreilly.com/data/free/ai-adoption-in-the-enterprise.csp">O’Reilly’s AI Adoption in the Enterprise: How Companies Are Planning and Prioritizing AI Projects in Practice</a></li><li><a href="https://conferences.oreilly.com/artificial-intelligence/ai-ny">O’Reilly AI Conference 2019 | NYC</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>At the recent O’Reilly AI Conference in New York City, Chris met up with O’Reilly Chief Data Scientist Ben Lorica, the Program Chair for Strata Data, the AI Conference, and TensorFlow World.</p><p>O’Reilly’s ‘<a href="https://www.oreilly.com/data/free/ai-adoption-in-the-enterprise.csp">AI Adoption in the Enterprise</a>’ report had just been released, so naturally Ben and Chris wanted to do a deep dive into enterprise AI adoption to discuss strategy, execution, and implications.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.strongdm.com/?utm_source=changelog">strongDM</a> – Manage access to any database, server, and environment. strongDM makes it easy for DevOps to enforce the controls InfoSec teams require. </li><li><a href="https://bit.ly/2OWMyw2">Discover.bot</a> – <strong>A digital space for bot developers and enthusiasts of all skill levels</strong> to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their <a href="https://bit.ly/2Vxk7qO">Guide to Bot Building Frameworks</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li></ul><p>Featuring:</p><ul><li>Ben Lorica – <a href="https://gradientflow.com/">Website</a>, <a href="https://www.linkedin.com/in/benlorica">LinkedIn</a>, <a href="https://x.com/bigdata">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.oreilly.com/data/free/ai-adoption-in-the-enterprise.csp">O’Reilly’s AI Adoption in the Enterprise: How Companies Are Planning and Prioritizing AI Projects in Practice</a></li><li><a href="https://conferences.oreilly.com/artificial-intelligence/ai-ny">O’Reilly AI Conference 2019 | NYC</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 21 May 2019 17:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/651a136d/91000a2d.mp3" length="82305551" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3430</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>At the recent O’Reilly AI Conference in New York City, Chris met up with O’Reilly Chief Data Scientist Ben Lorica, the Program Chair for Strata Data, the AI Conference, and TensorFlow World.</p><p>O’Reilly’s ‘<a href="https://www.oreilly.com/data/free/ai-adoption-in-the-enterprise.csp">AI Adoption in the Enterprise</a>’ report had just been released, so naturally Ben and Chris wanted to do a deep dive into enterprise AI adoption to discuss strategy, execution, and implications.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $50 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.strongdm.com/?utm_source=changelog">strongDM</a> – Manage access to any database, server, and environment. strongDM makes it easy for DevOps to enforce the controls InfoSec teams require. </li><li><a href="https://bit.ly/2OWMyw2">Discover.bot</a> – <strong>A digital space for bot developers and enthusiasts of all skill levels</strong> to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their <a href="https://bit.ly/2Vxk7qO">Guide to Bot Building Frameworks</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li></ul><p>Featuring:</p><ul><li>Ben Lorica – <a href="https://gradientflow.com/">Website</a>, <a href="https://www.linkedin.com/in/benlorica">LinkedIn</a>, <a href="https://x.com/bigdata">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.oreilly.com/data/free/ai-adoption-in-the-enterprise.csp">O’Reilly’s AI Adoption in the Enterprise: How Companies Are Planning and Prioritizing AI Projects in Practice</a></li><li><a href="https://conferences.oreilly.com/artificial-intelligence/ai-ny">O’Reilly AI Conference 2019 | NYC</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/benlorica" img="https://img.transistorcdn.com/4Ora48B8-Tfufo79yGlVatZHq69Hjk0dYsgLUxqkHqI/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82OGIx/MmVlOTU5YTNjMDlm/NzFiYjk4YmE0YzAw/NjQyYi5qcGc.jpg">Ben Lorica</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
    </item>
    <item>
      <title>When AI meets quantum mechanics</title>
      <itunes:episode>43</itunes:episode>
      <podcast:episode>43</podcast:episode>
      <itunes:title>When AI meets quantum mechanics</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/718</guid>
      <link>https://share.transistor.fm/s/f12c2f5e</link>
      <description>
        <![CDATA[<p>Can AI help quantum physicists? Can quantum physicists help the AI community? The answers are yes and yes! Dr. Shohini Ghose from Wilfrid Laurier University and Marcus Edwards from the University of Waterloo join us to discuss ML/AI’s impact on physics and quantum computing potential for ML/AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://bit.ly/2OWMyw2">Discover.bot</a> – <strong>A digital space for bot developers and enthusiasts of all skill levels</strong> to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their <a href="https://bit.ly/2Vxk7qO">Guide to Bot Building Frameworks</a>. </li><li><a href="https://www.strongdm.com/?utm_source=changelog">strongDM</a> – Manage access to any database, server, and environment. strongDM makes it easy for DevOps to enforce the controls InfoSec teams require. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Shohini Ghose – <a href="https://www.wlu.ca/academics/faculties/faculty-of-science/faculty-profiles/shohini-ghose/index.html">Website</a></li><li>Marcus Edwards – <a href="http://www.marcusedwards.me/">Website</a>, <a href="https://github.com/MackEdweise">GitHub</a>, <a href="https://www.linkedin.com/in/marcus-edwards-13154b111">LinkedIn</a>, <a href="https://x.com/MackEdweise">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>Quantum Emulation project (email marcus@quantumemulation.com/)</li><li>Efforts to use Quantum Computing to accelerate ML/AI: <ul><li><a href="https://ai.google/research/teams/applied-science/quantum-ai/">from Google</a></li><li><a href="https://syncedreview.com/2019/04/03/ibm-proposes-quantum-enhanced-feature-space-for-ml/">from IBM</a></li></ul></li><li><a href="https://www.xanadu.ai/software/#pennylane">Xanadu: a dedicated ML platform for quantum computers</a></li><li><a href="https://github.com/Qiskit/openqasm">OpenQASM</a></li><li><a href="https://www.rigetti.com/">Rigetti</a></li><li><a href="https://qosf.org/">Quantum open source foundation</a></li><li><a href="https://www.ted.com/talks/shohini_ghose_quantum_computing_explained_in_10_minutes?language=en">TED talk from Dr. Ghose</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Can AI help quantum physicists? Can quantum physicists help the AI community? The answers are yes and yes! Dr. Shohini Ghose from Wilfrid Laurier University and Marcus Edwards from the University of Waterloo join us to discuss ML/AI’s impact on physics and quantum computing potential for ML/AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://bit.ly/2OWMyw2">Discover.bot</a> – <strong>A digital space for bot developers and enthusiasts of all skill levels</strong> to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their <a href="https://bit.ly/2Vxk7qO">Guide to Bot Building Frameworks</a>. </li><li><a href="https://www.strongdm.com/?utm_source=changelog">strongDM</a> – Manage access to any database, server, and environment. strongDM makes it easy for DevOps to enforce the controls InfoSec teams require. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Shohini Ghose – <a href="https://www.wlu.ca/academics/faculties/faculty-of-science/faculty-profiles/shohini-ghose/index.html">Website</a></li><li>Marcus Edwards – <a href="http://www.marcusedwards.me/">Website</a>, <a href="https://github.com/MackEdweise">GitHub</a>, <a href="https://www.linkedin.com/in/marcus-edwards-13154b111">LinkedIn</a>, <a href="https://x.com/MackEdweise">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>Quantum Emulation project (email marcus@quantumemulation.com/)</li><li>Efforts to use Quantum Computing to accelerate ML/AI: <ul><li><a href="https://ai.google/research/teams/applied-science/quantum-ai/">from Google</a></li><li><a href="https://syncedreview.com/2019/04/03/ibm-proposes-quantum-enhanced-feature-space-for-ml/">from IBM</a></li></ul></li><li><a href="https://www.xanadu.ai/software/#pennylane">Xanadu: a dedicated ML platform for quantum computers</a></li><li><a href="https://github.com/Qiskit/openqasm">OpenQASM</a></li><li><a href="https://www.rigetti.com/">Rigetti</a></li><li><a href="https://qosf.org/">Quantum open source foundation</a></li><li><a href="https://www.ted.com/talks/shohini_ghose_quantum_computing_explained_in_10_minutes?language=en">TED talk from Dr. Ghose</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 14 May 2019 13:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/f12c2f5e/dd34152e.mp3" length="89498921" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3730</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Can AI help quantum physicists? Can quantum physicists help the AI community? The answers are yes and yes! Dr. Shohini Ghose from Wilfrid Laurier University and Marcus Edwards from the University of Waterloo join us to discuss ML/AI’s impact on physics and quantum computing potential for ML/AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://bit.ly/2OWMyw2">Discover.bot</a> – <strong>A digital space for bot developers and enthusiasts of all skill levels</strong> to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their <a href="https://bit.ly/2Vxk7qO">Guide to Bot Building Frameworks</a>. </li><li><a href="https://www.strongdm.com/?utm_source=changelog">strongDM</a> – Manage access to any database, server, and environment. strongDM makes it easy for DevOps to enforce the controls InfoSec teams require. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Shohini Ghose – <a href="https://www.wlu.ca/academics/faculties/faculty-of-science/faculty-profiles/shohini-ghose/index.html">Website</a></li><li>Marcus Edwards – <a href="http://www.marcusedwards.me/">Website</a>, <a href="https://github.com/MackEdweise">GitHub</a>, <a href="https://www.linkedin.com/in/marcus-edwards-13154b111">LinkedIn</a>, <a href="https://x.com/MackEdweise">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li>Quantum Emulation project (email marcus@quantumemulation.com/)</li><li>Efforts to use Quantum Computing to accelerate ML/AI: <ul><li><a href="https://ai.google/research/teams/applied-science/quantum-ai/">from Google</a></li><li><a href="https://syncedreview.com/2019/04/03/ibm-proposes-quantum-enhanced-feature-space-for-ml/">from IBM</a></li></ul></li><li><a href="https://www.xanadu.ai/software/#pennylane">Xanadu: a dedicated ML platform for quantum computers</a></li><li><a href="https://github.com/Qiskit/openqasm">OpenQASM</a></li><li><a href="https://www.rigetti.com/">Rigetti</a></li><li><a href="https://qosf.org/">Quantum open source foundation</a></li><li><a href="https://www.ted.com/talks/shohini_ghose_quantum_computing_explained_in_10_minutes?language=en">TED talk from Dr. Ghose</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/shohinighose" img="https://img.transistorcdn.com/40wMzxpZ1l5_7HTDyySX0RiBNVr82wHxIMIkLVpEMGI/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83ZmI1/M2RlY2Q4NDg4ZjRj/MDliNjQ3ZDk1N2Vl/NmU3NC5qcGc.jpg">Shohini Ghose</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/mackedweise" img="https://img.transistorcdn.com/wyZBbkIdW_6yUYXVHnRxhW6HtM75Ky6dB4iMdijario/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82ZjQ5/OWU0ZmJiMzRmNmM2/OTY3YTMzMjlmNWE4/MTE4Yy5qcGc.jpg">Marcus Edwards</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>TensorFlow Dev Summit 2019</title>
      <itunes:episode>42</itunes:episode>
      <podcast:episode>42</podcast:episode>
      <itunes:title>TensorFlow Dev Summit 2019</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/713</guid>
      <link>https://share.transistor.fm/s/44029566</link>
      <description>
        <![CDATA[<p>This week Daniel and Chris discuss the announcements made recently at TensorFlow Dev Summit 2019. They kick it off with the alpha release of TensorFlow 2.0, which features eager execution and an improved user experience through Keras, which has been integrated into TensorFlow itself. They round out the list with TensorFlow Datasets, TensorFlow Addons, TensorFlow Extended (TFX), and the upcoming inaugural O’Reilly TensorFlow World conference.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://bit.ly/2OWMyw2">Discover.bot</a> – <strong>A digital space for bot developers and enthusiasts of all skill levels</strong> to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their <a href="https://bit.ly/2Vxk7qO">Guide to Bot Building Frameworks</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.tensorflow.org/dev-summit">TensorFlow Dev Summit 2019</a></li><li><a href="https://www.tensorflow.org/alpha">TensorFlow 2.0 alpha release</a></li><li><a href="https://www.tensorflow.org/datasets">TensorFlow Datasets</a></li><li><a href="https://www.tensorflow.org/tfx">TensorFlow Extended (TFX)</a></li><li><a href="https://github.com/tensorflow/addons">TensorFlow Addons</a></li><li><a href="https://conferences.oreilly.com/tensorflow/tf-ca">O’Reilly TensorFlow World conference</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>This week Daniel and Chris discuss the announcements made recently at TensorFlow Dev Summit 2019. They kick it off with the alpha release of TensorFlow 2.0, which features eager execution and an improved user experience through Keras, which has been integrated into TensorFlow itself. They round out the list with TensorFlow Datasets, TensorFlow Addons, TensorFlow Extended (TFX), and the upcoming inaugural O’Reilly TensorFlow World conference.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://bit.ly/2OWMyw2">Discover.bot</a> – <strong>A digital space for bot developers and enthusiasts of all skill levels</strong> to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their <a href="https://bit.ly/2Vxk7qO">Guide to Bot Building Frameworks</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.tensorflow.org/dev-summit">TensorFlow Dev Summit 2019</a></li><li><a href="https://www.tensorflow.org/alpha">TensorFlow 2.0 alpha release</a></li><li><a href="https://www.tensorflow.org/datasets">TensorFlow Datasets</a></li><li><a href="https://www.tensorflow.org/tfx">TensorFlow Extended (TFX)</a></li><li><a href="https://github.com/tensorflow/addons">TensorFlow Addons</a></li><li><a href="https://conferences.oreilly.com/tensorflow/tf-ca">O’Reilly TensorFlow World conference</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 07 May 2019 09:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/44029566/a66b6711.mp3" length="85431789" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3561</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>This week Daniel and Chris discuss the announcements made recently at TensorFlow Dev Summit 2019. They kick it off with the alpha release of TensorFlow 2.0, which features eager execution and an improved user experience through Keras, which has been integrated into TensorFlow itself. They round out the list with TensorFlow Datasets, TensorFlow Addons, TensorFlow Extended (TFX), and the upcoming inaugural O’Reilly TensorFlow World conference.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://bit.ly/2OWMyw2">Discover.bot</a> – <strong>A digital space for bot developers and enthusiasts of all skill levels</strong> to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their <a href="https://bit.ly/2Vxk7qO">Guide to Bot Building Frameworks</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.tensorflow.org/dev-summit">TensorFlow Dev Summit 2019</a></li><li><a href="https://www.tensorflow.org/alpha">TensorFlow 2.0 alpha release</a></li><li><a href="https://www.tensorflow.org/datasets">TensorFlow Datasets</a></li><li><a href="https://www.tensorflow.org/tfx">TensorFlow Extended (TFX)</a></li><li><a href="https://github.com/tensorflow/addons">TensorFlow Addons</a></li><li><a href="https://conferences.oreilly.com/tensorflow/tf-ca">O’Reilly TensorFlow World conference</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>CTRL-labs lets you control machines with your mind</title>
      <itunes:episode>41</itunes:episode>
      <podcast:episode>41</podcast:episode>
      <itunes:title>CTRL-labs lets you control machines with your mind</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/709</guid>
      <link>https://share.transistor.fm/s/ec2e05de</link>
      <description>
        <![CDATA[<p>No, this isn’t science fiction! CTRL-labs is using neural signals and AI to build neural interfaces. Adam Berenzweig, from CTRL-labs R&amp;D, joins us to explain how this works and how they have made it practical.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://oreil.ly/2V8rrMH">O'Reilly Open Source Software Conference</a> – OSCON has been ground zero for the open source community for 20 years. This year they’ve expanded to become a “software development conference” — because in 2019, software development IS open source. The program covers everything from open source, AI, infrastructure, blockchain, edge computing, architecture, and emerging languages. Use the code CHANGELOG20 to get 20% off Bronze, Silver, and Gold passes. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li></ul><p>Featuring:</p><ul><li>Adam Berenzweig – <a href="https://adam.berenzweig.com/">Website</a>, <a href="https://www.linkedin.com/in/madadam">LinkedIn</a>, <a href="https://x.com/madadam">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://youtu.be/5Z5aZK2C3ew">O’Reilly AI keynote from CTRL-labs</a></li><li><a href="https://www.ctrl-labs.com/">CTRL-labs website</a></li><li><a href="https://www.ctrl-labs.com/ctrl-kit/">CTRL-kit</a></li><li><a href="https://www.ted.com/talks/daniel_wolpert_the_real_reason_for_brains?language=en">TED talk “The real reason for brains”</a></li><li><a href="https://changelog.com/practicalai/27">IBM healthcare Practical AI episode</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>No, this isn’t science fiction! CTRL-labs is using neural signals and AI to build neural interfaces. Adam Berenzweig, from CTRL-labs R&amp;D, joins us to explain how this works and how they have made it practical.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://oreil.ly/2V8rrMH">O'Reilly Open Source Software Conference</a> – OSCON has been ground zero for the open source community for 20 years. This year they’ve expanded to become a “software development conference” — because in 2019, software development IS open source. The program covers everything from open source, AI, infrastructure, blockchain, edge computing, architecture, and emerging languages. Use the code CHANGELOG20 to get 20% off Bronze, Silver, and Gold passes. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li></ul><p>Featuring:</p><ul><li>Adam Berenzweig – <a href="https://adam.berenzweig.com/">Website</a>, <a href="https://www.linkedin.com/in/madadam">LinkedIn</a>, <a href="https://x.com/madadam">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://youtu.be/5Z5aZK2C3ew">O’Reilly AI keynote from CTRL-labs</a></li><li><a href="https://www.ctrl-labs.com/">CTRL-labs website</a></li><li><a href="https://www.ctrl-labs.com/ctrl-kit/">CTRL-kit</a></li><li><a href="https://www.ted.com/talks/daniel_wolpert_the_real_reason_for_brains?language=en">TED talk “The real reason for brains”</a></li><li><a href="https://changelog.com/practicalai/27">IBM healthcare Practical AI episode</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 30 Apr 2019 07:05:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/ec2e05de/a269697c.mp3" length="91212947" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3802</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>No, this isn’t science fiction! CTRL-labs is using neural signals and AI to build neural interfaces. Adam Berenzweig, from CTRL-labs R&amp;D, joins us to explain how this works and how they have made it practical.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://oreil.ly/2V8rrMH">O'Reilly Open Source Software Conference</a> – OSCON has been ground zero for the open source community for 20 years. This year they’ve expanded to become a “software development conference” — because in 2019, software development IS open source. The program covers everything from open source, AI, infrastructure, blockchain, edge computing, architecture, and emerging languages. Use the code CHANGELOG20 to get 20% off Bronze, Silver, and Gold passes. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li></ul><p>Featuring:</p><ul><li>Adam Berenzweig – <a href="https://adam.berenzweig.com/">Website</a>, <a href="https://www.linkedin.com/in/madadam">LinkedIn</a>, <a href="https://x.com/madadam">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://youtu.be/5Z5aZK2C3ew">O’Reilly AI keynote from CTRL-labs</a></li><li><a href="https://www.ctrl-labs.com/">CTRL-labs website</a></li><li><a href="https://www.ctrl-labs.com/ctrl-kit/">CTRL-kit</a></li><li><a href="https://www.ted.com/talks/daniel_wolpert_the_real_reason_for_brains?language=en">TED talk “The real reason for brains”</a></li><li><a href="https://changelog.com/practicalai/27">IBM healthcare Practical AI episode</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/madadam" img="https://img.transistorcdn.com/C0Ax5XSHOuocnMNtaI-4Wqk11I9k2cCc5rnkGAaRrsk/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lNTJk/MzVkOGYwZjhiZTM5/NGQ1MmQxOGE3ZGJh/YjJkZS5qcGVn.jpg">Adam Berenzweig</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Deep Reinforcement Learning</title>
      <itunes:episode>40</itunes:episode>
      <podcast:episode>40</podcast:episode>
      <itunes:title>Deep Reinforcement Learning</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/704</guid>
      <link>https://share.transistor.fm/s/1d3b3ebb</link>
      <description>
        <![CDATA[<p>While attending the NVIDIA GPU Technology Conference in Silicon Valley, Chris met up with Adam Stooke, a speaker and PhD student at UC Berkeley who is doing groundbreaking work in large-scale deep reinforcement learning and robotics. Adam took Chris on a tour of deep reinforcement learning - explaining what it is, how it works, and why it’s one of the hottest technologies in artificial intelligence!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://oreil.ly/2UurGS2">O'Reilly Open Source Software Conference</a> – OSCON has been ground zero for the open source community for 20 years. This year they’ve expanded to become a “software development conference” — because in 2019, software development IS open source. The program covers everything from open source, AI, infrastructure, blockchain, edge computing, architecture, and emerging languages. Use the code CHANGELOG20 to get 20% off Bronze, Silver, and Gold passes. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li></ul><p>Featuring:</p><ul><li>Adam Stooke – <a href="https://github.com/astooke">GitHub</a>, <a href="https://www.linkedin.com/in/adam-stooke-06bb6923">LinkedIn</a>, <a href="https://x.com/stookemon">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://gputechconf2019.smarteventscloud.com/connect/sessionDetail.ww?SESSION_ID=277128">NVIDIA GTC: Doing More with More: Recent Achievements in Large-Scale Deep Reinforcement Learning</a></li><li><a href="https://arxiv.org/abs/1803.02811">Accelerated Methods for Deep Reinforcement Learning</a></li><li><a href="https://github.com/astooke/accel_rl">Accelerated Methods for Deep Reinforcement Learning - code</a></li><li><a href="https://openai.com/five">OpenAI Five - Dota 2</a></li><li><a href="https://deepmind.com/blog/alphastar-mastering-real-time-strategy-game-starcraft-ii">AlphaStar: Mastering the Real-Time Strategy Game StarCraft II</a></li><li><a href="https://www.nvidia.com/en-us/research/graduate-fellowships/2018">NVIDIA Graduate Fellowship</a></li><li><a href="https://www.crunchbase.com/person/adam-stooke">Crunchbase</a></li><li><a href="https://hertzfoundation.org/fellows/fellow-profile/11174/Adam-Stooke">The Hertz Foundation</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>While attending the NVIDIA GPU Technology Conference in Silicon Valley, Chris met up with Adam Stooke, a speaker and PhD student at UC Berkeley who is doing groundbreaking work in large-scale deep reinforcement learning and robotics. Adam took Chris on a tour of deep reinforcement learning - explaining what it is, how it works, and why it’s one of the hottest technologies in artificial intelligence!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://oreil.ly/2UurGS2">O'Reilly Open Source Software Conference</a> – OSCON has been ground zero for the open source community for 20 years. This year they’ve expanded to become a “software development conference” — because in 2019, software development IS open source. The program covers everything from open source, AI, infrastructure, blockchain, edge computing, architecture, and emerging languages. Use the code CHANGELOG20 to get 20% off Bronze, Silver, and Gold passes. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li></ul><p>Featuring:</p><ul><li>Adam Stooke – <a href="https://github.com/astooke">GitHub</a>, <a href="https://www.linkedin.com/in/adam-stooke-06bb6923">LinkedIn</a>, <a href="https://x.com/stookemon">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://gputechconf2019.smarteventscloud.com/connect/sessionDetail.ww?SESSION_ID=277128">NVIDIA GTC: Doing More with More: Recent Achievements in Large-Scale Deep Reinforcement Learning</a></li><li><a href="https://arxiv.org/abs/1803.02811">Accelerated Methods for Deep Reinforcement Learning</a></li><li><a href="https://github.com/astooke/accel_rl">Accelerated Methods for Deep Reinforcement Learning - code</a></li><li><a href="https://openai.com/five">OpenAI Five - Dota 2</a></li><li><a href="https://deepmind.com/blog/alphastar-mastering-real-time-strategy-game-starcraft-ii">AlphaStar: Mastering the Real-Time Strategy Game StarCraft II</a></li><li><a href="https://www.nvidia.com/en-us/research/graduate-fellowships/2018">NVIDIA Graduate Fellowship</a></li><li><a href="https://www.crunchbase.com/person/adam-stooke">Crunchbase</a></li><li><a href="https://hertzfoundation.org/fellows/fellow-profile/11174/Adam-Stooke">The Hertz Foundation</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 23 Apr 2019 07:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/1d3b3ebb/e3e04ea1.mp3" length="65667093" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2736</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>While attending the NVIDIA GPU Technology Conference in Silicon Valley, Chris met up with Adam Stooke, a speaker and PhD student at UC Berkeley who is doing groundbreaking work in large-scale deep reinforcement learning and robotics. Adam took Chris on a tour of deep reinforcement learning - explaining what it is, how it works, and why it’s one of the hottest technologies in artificial intelligence!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://oreil.ly/2UurGS2">O'Reilly Open Source Software Conference</a> – OSCON has been ground zero for the open source community for 20 years. This year they’ve expanded to become a “software development conference” — because in 2019, software development IS open source. The program covers everything from open source, AI, infrastructure, blockchain, edge computing, architecture, and emerging languages. Use the code CHANGELOG20 to get 20% off Bronze, Silver, and Gold passes. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li></ul><p>Featuring:</p><ul><li>Adam Stooke – <a href="https://github.com/astooke">GitHub</a>, <a href="https://www.linkedin.com/in/adam-stooke-06bb6923">LinkedIn</a>, <a href="https://x.com/stookemon">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://gputechconf2019.smarteventscloud.com/connect/sessionDetail.ww?SESSION_ID=277128">NVIDIA GTC: Doing More with More: Recent Achievements in Large-Scale Deep Reinforcement Learning</a></li><li><a href="https://arxiv.org/abs/1803.02811">Accelerated Methods for Deep Reinforcement Learning</a></li><li><a href="https://github.com/astooke/accel_rl">Accelerated Methods for Deep Reinforcement Learning - code</a></li><li><a href="https://openai.com/five">OpenAI Five - Dota 2</a></li><li><a href="https://deepmind.com/blog/alphastar-mastering-real-time-strategy-game-starcraft-ii">AlphaStar: Mastering the Real-Time Strategy Game StarCraft II</a></li><li><a href="https://www.nvidia.com/en-us/research/graduate-fellowships/2018">NVIDIA Graduate Fellowship</a></li><li><a href="https://www.crunchbase.com/person/adam-stooke">Crunchbase</a></li><li><a href="https://hertzfoundation.org/fellows/fellow-profile/11174/Adam-Stooke">The Hertz Foundation</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/stookemon" img="https://img.transistorcdn.com/9rE3eu1YgCEFEozVaXEylt8c4ZjdCUjtyO-GpJ2XE1s/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yMjlk/NzFmNDVlMWI4NWYx/MmZmOGUzNzNiNTZh/NmRkOS5qcGc.jpg">Adam Stooke</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
    </item>
    <item>
      <title>Making the world a better place at the AI for Good Foundation</title>
      <itunes:episode>39</itunes:episode>
      <podcast:episode>39</podcast:episode>
      <itunes:title>Making the world a better place at the AI for Good Foundation</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/701</guid>
      <link>https://share.transistor.fm/s/d51585a9</link>
      <description>
        <![CDATA[<p>Longtime listeners know that we’re always advocating for ‘AI for good’, but this week we have taken it to a whole new level. We had the privilege of chatting with James Hodson, Director of the AI for Good Foundation, about ways they have used artificial intelligence to positively-impact the world - from food production to climate change. James inspired us to find our own ways to use AI for good, and we challenge our listeners to get out there and do some good!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://oreil.ly/2UurGS2">O'Reilly Open Source Software Conference</a> – OSCON has been ground zero for the open source community for 20 years. This year they’ve expanded to become a “software development conference” — because in 2019, software development IS open source. The program covers everything from open source, AI, infrastructure, blockchain, edge computing, architecture, and emerging languages. Use the code CHANGELOG20 to get 20% off Bronze, Silver, and Gold passes. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>James Hodson – <a href="https://ai4good.org/">Website</a>, <a href="https://x.com/hodsonlabs">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://ai4good.org">AI For Good Foundation</a></li><li><a href="http://videolectures.net/ai4good">AI For Good Foundation Video Lectures</a></li><li><a href="https://www.kdd.org/kdd2019/special-days">KDD Earth Day</a></li><li><a href="https://ai4good.org/feed2019">“Fragile Earth” Workshop</a></li><li><a href="https://ai4good.org/practical-ai">Discounted Membership for Practical AI Podcast Listeners!</a></li><li><a href="https://blogs.thomsonreuters.com/answerson/moving-forward-with-ai-likely-a-series-of-small-steps-not-giant-leaps">AI Experts: Moving forward with AI likely a series of small steps, not giant leaps</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Longtime listeners know that we’re always advocating for ‘AI for good’, but this week we have taken it to a whole new level. We had the privilege of chatting with James Hodson, Director of the AI for Good Foundation, about ways they have used artificial intelligence to positively-impact the world - from food production to climate change. James inspired us to find our own ways to use AI for good, and we challenge our listeners to get out there and do some good!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://oreil.ly/2UurGS2">O'Reilly Open Source Software Conference</a> – OSCON has been ground zero for the open source community for 20 years. This year they’ve expanded to become a “software development conference” — because in 2019, software development IS open source. The program covers everything from open source, AI, infrastructure, blockchain, edge computing, architecture, and emerging languages. Use the code CHANGELOG20 to get 20% off Bronze, Silver, and Gold passes. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>James Hodson – <a href="https://ai4good.org/">Website</a>, <a href="https://x.com/hodsonlabs">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://ai4good.org">AI For Good Foundation</a></li><li><a href="http://videolectures.net/ai4good">AI For Good Foundation Video Lectures</a></li><li><a href="https://www.kdd.org/kdd2019/special-days">KDD Earth Day</a></li><li><a href="https://ai4good.org/feed2019">“Fragile Earth” Workshop</a></li><li><a href="https://ai4good.org/practical-ai">Discounted Membership for Practical AI Podcast Listeners!</a></li><li><a href="https://blogs.thomsonreuters.com/answerson/moving-forward-with-ai-likely-a-series-of-small-steps-not-giant-leaps">AI Experts: Moving forward with AI likely a series of small steps, not giant leaps</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 15 Apr 2019 15:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/d51585a9/01441d5a.mp3" length="74379203" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3099</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Longtime listeners know that we’re always advocating for ‘AI for good’, but this week we have taken it to a whole new level. We had the privilege of chatting with James Hodson, Director of the AI for Good Foundation, about ways they have used artificial intelligence to positively-impact the world - from food production to climate change. James inspired us to find our own ways to use AI for good, and we challenge our listeners to get out there and do some good!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://oreil.ly/2UurGS2">O'Reilly Open Source Software Conference</a> – OSCON has been ground zero for the open source community for 20 years. This year they’ve expanded to become a “software development conference” — because in 2019, software development IS open source. The program covers everything from open source, AI, infrastructure, blockchain, edge computing, architecture, and emerging languages. Use the code CHANGELOG20 to get 20% off Bronze, Silver, and Gold passes. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>James Hodson – <a href="https://ai4good.org/">Website</a>, <a href="https://x.com/hodsonlabs">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://ai4good.org">AI For Good Foundation</a></li><li><a href="http://videolectures.net/ai4good">AI For Good Foundation Video Lectures</a></li><li><a href="https://www.kdd.org/kdd2019/special-days">KDD Earth Day</a></li><li><a href="https://ai4good.org/feed2019">“Fragile Earth” Workshop</a></li><li><a href="https://ai4good.org/practical-ai">Discounted Membership for Practical AI Podcast Listeners!</a></li><li><a href="https://blogs.thomsonreuters.com/answerson/moving-forward-with-ai-likely-a-series-of-small-steps-not-giant-leaps">AI Experts: Moving forward with AI likely a series of small steps, not giant leaps</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/jameshodson" img="https://img.transistorcdn.com/xdsru4PIGbxz6RQMcPIPvzwiiSttpHE6DjC8EmAtyJs/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lOTBh/NmIzZTY1OGQ4ZWU5/NDQ3NzZjYTQyYWU5/NDJlMi5qcGc.jpg">James Hodson</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>GIPHY's celebrity detector</title>
      <itunes:episode>38</itunes:episode>
      <podcast:episode>38</podcast:episode>
      <itunes:title>GIPHY's celebrity detector</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/693</guid>
      <link>https://share.transistor.fm/s/e1e293a9</link>
      <description>
        <![CDATA[<p>GIPHY’s head of R&amp;D, Nick Hasty, joins us to discuss their recently released celebrity detector project. He gives us all of the details about that project, but he also tells us about GIPHY’s origins, AI in general at GIPHY, and more!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://bit.ly/2OWMyw2">Discover.bot</a> – A digital space for bot developers and enthusiasts of all skill levels to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their <a href="https://bit.ly/2Vxk7qO">Guide to Bot Building Frameworks</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li></ul><p>Featuring:</p><ul><li>Nick Hasty – <a href="http://jnhasty.com/">Website</a>, <a href="https://www.linkedin.com/in/nickhasty">LinkedIn</a>, <a href="https://x.com/jnhasty">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://engineering.giphy.com/giphys-ai-can-identify-lil-yachty-can-yours/">Blog post about the celeb detector project</a></li><li><a href="https://readwrite.com/2019/03/09/giphy-enters-the-open-source-community-with-celebrity-detector/">GIPHY Enters the Open Source Community with Celebrity Detector (readwrite article)</a></li><li><a href="https://arxiv.org/ftp/arxiv/papers/1604/1604.02878.pdf">MTCNN method used in the celebrity detector project</a></li><li><a href="https://github.com/Giphy/celeb-detection-oss/">GitHub repo</a></li><li><a href="https://celebrity-detection.giphy.com/">Demo page</a></li><li><a href="https://celebrity-detection-projector.giphy.com/">3D projection of celeb face embeddings</a></li><li><a href="https://github.com/Giphy/celeb-detection-oss/blob/master/examples/resources/face_recognition/labels.csv">Complete list of all celebs in the model</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>GIPHY’s head of R&amp;D, Nick Hasty, joins us to discuss their recently released celebrity detector project. He gives us all of the details about that project, but he also tells us about GIPHY’s origins, AI in general at GIPHY, and more!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://bit.ly/2OWMyw2">Discover.bot</a> – A digital space for bot developers and enthusiasts of all skill levels to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their <a href="https://bit.ly/2Vxk7qO">Guide to Bot Building Frameworks</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li></ul><p>Featuring:</p><ul><li>Nick Hasty – <a href="http://jnhasty.com/">Website</a>, <a href="https://www.linkedin.com/in/nickhasty">LinkedIn</a>, <a href="https://x.com/jnhasty">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://engineering.giphy.com/giphys-ai-can-identify-lil-yachty-can-yours/">Blog post about the celeb detector project</a></li><li><a href="https://readwrite.com/2019/03/09/giphy-enters-the-open-source-community-with-celebrity-detector/">GIPHY Enters the Open Source Community with Celebrity Detector (readwrite article)</a></li><li><a href="https://arxiv.org/ftp/arxiv/papers/1604/1604.02878.pdf">MTCNN method used in the celebrity detector project</a></li><li><a href="https://github.com/Giphy/celeb-detection-oss/">GitHub repo</a></li><li><a href="https://celebrity-detection.giphy.com/">Demo page</a></li><li><a href="https://celebrity-detection-projector.giphy.com/">3D projection of celeb face embeddings</a></li><li><a href="https://github.com/Giphy/celeb-detection-oss/blob/master/examples/resources/face_recognition/labels.csv">Complete list of all celebs in the model</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 08 Apr 2019 15:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/e1e293a9/aaebf234.mp3" length="71113917" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2963</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>GIPHY’s head of R&amp;D, Nick Hasty, joins us to discuss their recently released celebrity detector project. He gives us all of the details about that project, but he also tells us about GIPHY’s origins, AI in general at GIPHY, and more!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://bit.ly/2OWMyw2">Discover.bot</a> – A digital space for bot developers and enthusiasts of all skill levels to learn from one another, share stories, and move the bot conversation forward. Want to learn more about building bots? Get started with their <a href="https://bit.ly/2Vxk7qO">Guide to Bot Building Frameworks</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li></ul><p>Featuring:</p><ul><li>Nick Hasty – <a href="http://jnhasty.com/">Website</a>, <a href="https://www.linkedin.com/in/nickhasty">LinkedIn</a>, <a href="https://x.com/jnhasty">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://engineering.giphy.com/giphys-ai-can-identify-lil-yachty-can-yours/">Blog post about the celeb detector project</a></li><li><a href="https://readwrite.com/2019/03/09/giphy-enters-the-open-source-community-with-celebrity-detector/">GIPHY Enters the Open Source Community with Celebrity Detector (readwrite article)</a></li><li><a href="https://arxiv.org/ftp/arxiv/papers/1604/1604.02878.pdf">MTCNN method used in the celebrity detector project</a></li><li><a href="https://github.com/Giphy/celeb-detection-oss/">GitHub repo</a></li><li><a href="https://celebrity-detection.giphy.com/">Demo page</a></li><li><a href="https://celebrity-detection-projector.giphy.com/">3D projection of celeb face embeddings</a></li><li><a href="https://github.com/Giphy/celeb-detection-oss/blob/master/examples/resources/face_recognition/labels.csv">Complete list of all celebs in the model</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/nickhasty" img="https://img.transistorcdn.com/M-uP5HDydEZPtf8Zz7Z-AD_quwQwSqcR_fXxy_78hFc/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9iNWQ5/YWZiZmU1YTExYzhi/MzRkOTY0ZWQyZWI0/MzhiYy5qcGVn.jpg">Nick Hasty</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>The landscape of AI infrastructure</title>
      <itunes:episode>37</itunes:episode>
      <podcast:episode>37</podcast:episode>
      <itunes:title>The landscape of AI infrastructure</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/692</guid>
      <link>https://share.transistor.fm/s/9b817c8f</link>
      <description>
        <![CDATA[<p>Being that this is “practical” AI, we decided that it would be good to take time to discuss various aspects of AI infrastructure. In this full-connected episode, we discuss our personal/local infrastructure along with trends in AI, including infra for training, serving, and data management.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.dataengineeringpodcast.com?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">DataEngPodcast</a> – A podcast about data engineering and modern data infrastructure. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Our locally installed stuff:</p><ul><li><a href="https://jupyter.org/">Jupyter</a></li><li><a href="https://www.docker.com/">Docker</a></li><li><a href="https://www.python.org/">Python</a></li><li><a href="https://golang.org/">Go</a></li><li><a href="https://www.getpostman.com/">Postman</a></li></ul><p>Where we see AI workflows running:</p><ul><li><a href="https://aws.amazon.com/">AWS</a></li><li><a href="https://cloud.google.com/">GCP</a></li><li><a href="https://azure.microsoft.com/en-us/">Azure</a></li><li><a href="https://kubernetes.io/">Kubernetes</a> and <a href="https://www.kubeflow.org/">KubeFlow</a></li><li>On-prem workstations: <ul><li><a href="https://www.nvidia.com/en-us/data-center/dgx-systems/">NVIDIA</a></li><li><a href="https://lambdalabs.com/">Lambda Labs</a></li><li><a href="https://system76.com/">System76</a></li></ul></li></ul><p>Experimentation / model development:</p><ul><li><a href="https://github.com/jupyterlab/jupyterlab">JupyterLab</a></li><li><a href="https://colab.research.google.com">Google Colaboratory</a></li><li><a href="https://aws.amazon.com/sagemaker/">AWS SageMaker</a></li><li>Data Science platforms: <ul><li><a href="https://www.dominodatalab.com/">Domino</a></li><li><a href="https://databricks.com/">DataBricks</a></li><li><a href="https://www.datarobot.com/">DataRobot</a></li><li><a href="https://www.h2o.ai/">H2O.ai</a></li></ul></li></ul><p>Pipelining and automation:</p><ul><li><a href="https://pachyderm.io/">Pachyderm</a></li><li><a href="https://airflow.apache.org/">Airflow</a></li><li><a href="https://github.com/spotify/luigi">Luigi</a></li><li>Model optimization: <ul><li><a href="https://software.intel.com/en-us/openvino-toolkit">OpenVino</a></li><li><a href="https://developer.nvidia.com/tensorrt">TensorRT</a></li><li><a href="https://www.tensorflow.org/lite">TensorFlow Lite</a></li></ul></li></ul><p>Serving:</p><ul><li><a href="https://mxnet.apache.org/">MXNet</a></li><li><a href="https://www.tensorflow.org/tfx/guide/serving">TensorFlow serving</a></li><li><a href="https://www.seldon.io/">Seldon</a></li></ul><p>Monitoring/visibility:</p><ul><li><a href="https://github.com/tensorflow/tensorboard">TensorBoard</a></li><li><a href="https://github.com/lutzroeder/netron">Netron</a></li><li><a href="https://github.com/huggingface/knockknock">Knock knock</a></li><li><a href="https://prometheus.io/">Prometheus</a></li><li><a href="https://www.elastic.co/">ElasticSearch</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Being that this is “practical” AI, we decided that it would be good to take time to discuss various aspects of AI infrastructure. In this full-connected episode, we discuss our personal/local infrastructure along with trends in AI, including infra for training, serving, and data management.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.dataengineeringpodcast.com?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">DataEngPodcast</a> – A podcast about data engineering and modern data infrastructure. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Our locally installed stuff:</p><ul><li><a href="https://jupyter.org/">Jupyter</a></li><li><a href="https://www.docker.com/">Docker</a></li><li><a href="https://www.python.org/">Python</a></li><li><a href="https://golang.org/">Go</a></li><li><a href="https://www.getpostman.com/">Postman</a></li></ul><p>Where we see AI workflows running:</p><ul><li><a href="https://aws.amazon.com/">AWS</a></li><li><a href="https://cloud.google.com/">GCP</a></li><li><a href="https://azure.microsoft.com/en-us/">Azure</a></li><li><a href="https://kubernetes.io/">Kubernetes</a> and <a href="https://www.kubeflow.org/">KubeFlow</a></li><li>On-prem workstations: <ul><li><a href="https://www.nvidia.com/en-us/data-center/dgx-systems/">NVIDIA</a></li><li><a href="https://lambdalabs.com/">Lambda Labs</a></li><li><a href="https://system76.com/">System76</a></li></ul></li></ul><p>Experimentation / model development:</p><ul><li><a href="https://github.com/jupyterlab/jupyterlab">JupyterLab</a></li><li><a href="https://colab.research.google.com">Google Colaboratory</a></li><li><a href="https://aws.amazon.com/sagemaker/">AWS SageMaker</a></li><li>Data Science platforms: <ul><li><a href="https://www.dominodatalab.com/">Domino</a></li><li><a href="https://databricks.com/">DataBricks</a></li><li><a href="https://www.datarobot.com/">DataRobot</a></li><li><a href="https://www.h2o.ai/">H2O.ai</a></li></ul></li></ul><p>Pipelining and automation:</p><ul><li><a href="https://pachyderm.io/">Pachyderm</a></li><li><a href="https://airflow.apache.org/">Airflow</a></li><li><a href="https://github.com/spotify/luigi">Luigi</a></li><li>Model optimization: <ul><li><a href="https://software.intel.com/en-us/openvino-toolkit">OpenVino</a></li><li><a href="https://developer.nvidia.com/tensorrt">TensorRT</a></li><li><a href="https://www.tensorflow.org/lite">TensorFlow Lite</a></li></ul></li></ul><p>Serving:</p><ul><li><a href="https://mxnet.apache.org/">MXNet</a></li><li><a href="https://www.tensorflow.org/tfx/guide/serving">TensorFlow serving</a></li><li><a href="https://www.seldon.io/">Seldon</a></li></ul><p>Monitoring/visibility:</p><ul><li><a href="https://github.com/tensorflow/tensorboard">TensorBoard</a></li><li><a href="https://github.com/lutzroeder/netron">Netron</a></li><li><a href="https://github.com/huggingface/knockknock">Knock knock</a></li><li><a href="https://prometheus.io/">Prometheus</a></li><li><a href="https://www.elastic.co/">ElasticSearch</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 02 Apr 2019 07:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/9b817c8f/d8aef692.mp3" length="74228909" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3093</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Being that this is “practical” AI, we decided that it would be good to take time to discuss various aspects of AI infrastructure. In this full-connected episode, we discuss our personal/local infrastructure along with trends in AI, including infra for training, serving, and data management.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.dataengineeringpodcast.com?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">DataEngPodcast</a> – A podcast about data engineering and modern data infrastructure. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Our locally installed stuff:</p><ul><li><a href="https://jupyter.org/">Jupyter</a></li><li><a href="https://www.docker.com/">Docker</a></li><li><a href="https://www.python.org/">Python</a></li><li><a href="https://golang.org/">Go</a></li><li><a href="https://www.getpostman.com/">Postman</a></li></ul><p>Where we see AI workflows running:</p><ul><li><a href="https://aws.amazon.com/">AWS</a></li><li><a href="https://cloud.google.com/">GCP</a></li><li><a href="https://azure.microsoft.com/en-us/">Azure</a></li><li><a href="https://kubernetes.io/">Kubernetes</a> and <a href="https://www.kubeflow.org/">KubeFlow</a></li><li>On-prem workstations: <ul><li><a href="https://www.nvidia.com/en-us/data-center/dgx-systems/">NVIDIA</a></li><li><a href="https://lambdalabs.com/">Lambda Labs</a></li><li><a href="https://system76.com/">System76</a></li></ul></li></ul><p>Experimentation / model development:</p><ul><li><a href="https://github.com/jupyterlab/jupyterlab">JupyterLab</a></li><li><a href="https://colab.research.google.com">Google Colaboratory</a></li><li><a href="https://aws.amazon.com/sagemaker/">AWS SageMaker</a></li><li>Data Science platforms: <ul><li><a href="https://www.dominodatalab.com/">Domino</a></li><li><a href="https://databricks.com/">DataBricks</a></li><li><a href="https://www.datarobot.com/">DataRobot</a></li><li><a href="https://www.h2o.ai/">H2O.ai</a></li></ul></li></ul><p>Pipelining and automation:</p><ul><li><a href="https://pachyderm.io/">Pachyderm</a></li><li><a href="https://airflow.apache.org/">Airflow</a></li><li><a href="https://github.com/spotify/luigi">Luigi</a></li><li>Model optimization: <ul><li><a href="https://software.intel.com/en-us/openvino-toolkit">OpenVino</a></li><li><a href="https://developer.nvidia.com/tensorrt">TensorRT</a></li><li><a href="https://www.tensorflow.org/lite">TensorFlow Lite</a></li></ul></li></ul><p>Serving:</p><ul><li><a href="https://mxnet.apache.org/">MXNet</a></li><li><a href="https://www.tensorflow.org/tfx/guide/serving">TensorFlow serving</a></li><li><a href="https://www.seldon.io/">Seldon</a></li></ul><p>Monitoring/visibility:</p><ul><li><a href="https://github.com/tensorflow/tensorboard">TensorBoard</a></li><li><a href="https://github.com/lutzroeder/netron">Netron</a></li><li><a href="https://github.com/huggingface/knockknock">Knock knock</a></li><li><a href="https://prometheus.io/">Prometheus</a></li><li><a href="https://www.elastic.co/">ElasticSearch</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Growing up to become a world-class AI expert</title>
      <itunes:episode>36</itunes:episode>
      <podcast:episode>36</podcast:episode>
      <itunes:title>Growing up to become a world-class AI expert</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/685</guid>
      <link>https://share.transistor.fm/s/7561b14c</link>
      <description>
        <![CDATA[<p>While at the NVIDIA GPU Technology Conference 2019 in Silicon Valley, Chris enjoyed an inspiring conversation with Anima Anandkumar. Clearly a role model - not only for women - but for anyone in the world of AI, Anima relayed how her lifelong passion for mathematics and engineering started when she was only 3 years old in India, and ultimately led to her pioneering deep learning research at Amazon Web Services, CalTech, and NVIDIA.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.dataengineeringpodcast.com?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">DataEngPodcast</a> – A podcast about data engineering and modern data infrastructure. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Anima Anandkumar – <a href="http://tensorlab.cms.caltech.edu/users/anima/">Website</a>, <a href="https://www.linkedin.com/in/anima-anandkumar">LinkedIn</a>, <a href="https://x.com/animaanandkumar">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://en.wikipedia.org/wiki/Anima_Anandkumar">Anima Anandkumar on Wikipedia</a></li><li><a href="https://gputechconf2019.smarteventscloud.com/connect/speakerDetail.ww?PERSON_ID=B9CC9DCACB363F0948CA74541A9A8B0C">NVIDIA GTC Speaker</a></li><li><a href="https://gputechconf2019.smarteventscloud.com/connect/sessionDetail.ww?SESSION_ID=272382">NVIDIA GTC Presentation: Role of Tensors in Machine Learning</a></li><li><a href="https://gputechconf2019.smarteventscloud.com/connect/sessionDetail.ww?SESSION_ID=279709">NVIDIA GTC Presentation: Infusing Physics into Deep Learning Algorithms with Applications to Stable Landing of Drones</a></li><li><a href="http://tensorlab.cms.caltech.edu/users/anima">CalTech CMS TensorLab</a></li><li><a href="https://scholar.google.com/citations?user=bEcLezcAAAAJ">Google Scholar</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>While at the NVIDIA GPU Technology Conference 2019 in Silicon Valley, Chris enjoyed an inspiring conversation with Anima Anandkumar. Clearly a role model - not only for women - but for anyone in the world of AI, Anima relayed how her lifelong passion for mathematics and engineering started when she was only 3 years old in India, and ultimately led to her pioneering deep learning research at Amazon Web Services, CalTech, and NVIDIA.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.dataengineeringpodcast.com?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">DataEngPodcast</a> – A podcast about data engineering and modern data infrastructure. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Anima Anandkumar – <a href="http://tensorlab.cms.caltech.edu/users/anima/">Website</a>, <a href="https://www.linkedin.com/in/anima-anandkumar">LinkedIn</a>, <a href="https://x.com/animaanandkumar">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://en.wikipedia.org/wiki/Anima_Anandkumar">Anima Anandkumar on Wikipedia</a></li><li><a href="https://gputechconf2019.smarteventscloud.com/connect/speakerDetail.ww?PERSON_ID=B9CC9DCACB363F0948CA74541A9A8B0C">NVIDIA GTC Speaker</a></li><li><a href="https://gputechconf2019.smarteventscloud.com/connect/sessionDetail.ww?SESSION_ID=272382">NVIDIA GTC Presentation: Role of Tensors in Machine Learning</a></li><li><a href="https://gputechconf2019.smarteventscloud.com/connect/sessionDetail.ww?SESSION_ID=279709">NVIDIA GTC Presentation: Infusing Physics into Deep Learning Algorithms with Applications to Stable Landing of Drones</a></li><li><a href="http://tensorlab.cms.caltech.edu/users/anima">CalTech CMS TensorLab</a></li><li><a href="https://scholar.google.com/citations?user=bEcLezcAAAAJ">Google Scholar</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 25 Mar 2019 17:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/7561b14c/b053ebc1.mp3" length="94454363" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3937</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>While at the NVIDIA GPU Technology Conference 2019 in Silicon Valley, Chris enjoyed an inspiring conversation with Anima Anandkumar. Clearly a role model - not only for women - but for anyone in the world of AI, Anima relayed how her lifelong passion for mathematics and engineering started when she was only 3 years old in India, and ultimately led to her pioneering deep learning research at Amazon Web Services, CalTech, and NVIDIA.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.dataengineeringpodcast.com?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=practicalai">DataEngPodcast</a> – A podcast about data engineering and modern data infrastructure. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Anima Anandkumar – <a href="http://tensorlab.cms.caltech.edu/users/anima/">Website</a>, <a href="https://www.linkedin.com/in/anima-anandkumar">LinkedIn</a>, <a href="https://x.com/animaanandkumar">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://en.wikipedia.org/wiki/Anima_Anandkumar">Anima Anandkumar on Wikipedia</a></li><li><a href="https://gputechconf2019.smarteventscloud.com/connect/speakerDetail.ww?PERSON_ID=B9CC9DCACB363F0948CA74541A9A8B0C">NVIDIA GTC Speaker</a></li><li><a href="https://gputechconf2019.smarteventscloud.com/connect/sessionDetail.ww?SESSION_ID=272382">NVIDIA GTC Presentation: Role of Tensors in Machine Learning</a></li><li><a href="https://gputechconf2019.smarteventscloud.com/connect/sessionDetail.ww?SESSION_ID=279709">NVIDIA GTC Presentation: Infusing Physics into Deep Learning Algorithms with Applications to Stable Landing of Drones</a></li><li><a href="http://tensorlab.cms.caltech.edu/users/anima">CalTech CMS TensorLab</a></li><li><a href="https://scholar.google.com/citations?user=bEcLezcAAAAJ">Google Scholar</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/animaanandkumar" img="https://img.transistorcdn.com/JHcNz4EI4J3H8RHb3_95mhyD2icZBgib5cwOl-ojoUA/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84NWEz/YjQ1ZDJhODIyZDZl/YjljZjg0YTE4MDFj/MjRkMC5qcGc.jpg">Anima Anandkumar</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
    </item>
    <item>
      <title>Social AI with Hugging Face</title>
      <itunes:episode>35</itunes:episode>
      <podcast:episode>35</podcast:episode>
      <itunes:title>Social AI with Hugging Face</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/678</guid>
      <link>https://share.transistor.fm/s/ac4fdee5</link>
      <description>
        <![CDATA[<p>Clément Delangue, the co-founder &amp; CEO of Hugging Face, joined us to discuss fun, social, and conversational AI. Clem explained why social AI is important, what products they are building (social AIs who learn to chit-chat, talk sassy and trades selfies with you), and how this intersects with the latest research in AI for natural language. He also shared his vision for how AI for natural language with develop over the next few years.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Clément Delangue – <a href="https://huggingface.co/">Website</a>, <a href="https://www.linkedin.com/in/clementdelangue">LinkedIn</a>, <a href="https://x.com/clementdelangue">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://huggingface.co/">Hugging Face</a></li><li><a href="https://medium.com/huggingface/our-new-app-voice-boloss-is-out-b7427d05da89">Voice Boloss</a></li><li>Transformer model episodes: <ul><li><a href="https://changelog.com/practicalai/22">BERT</a></li><li><a href="https://changelog.com/practicalai/32">GPT-2</a></li></ul></li><li><a href="https://github.com/huggingface/pytorch-pretrained-BERT">Hugging Face’s Pytorch pre-trained model repo</a></li><li><a href="https://rasa.com/">Rasa</a></li><li><a href="https://lyrebird.ai/">Lyrebird</a></li><li><a href="https://allenai.org/">Allen Institute for AI</a></li><li><a href="https://allennlp.org/">AllenNLP</a></li><li><a href="https://openai.com/">OpenAI</a></li><li><a href="https://www.fast.ai/">Fast.ai</a></li><li><a href="https://betaworksventures.com/camp">Betaworks Synthetic camp</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Clément Delangue, the co-founder &amp; CEO of Hugging Face, joined us to discuss fun, social, and conversational AI. Clem explained why social AI is important, what products they are building (social AIs who learn to chit-chat, talk sassy and trades selfies with you), and how this intersects with the latest research in AI for natural language. He also shared his vision for how AI for natural language with develop over the next few years.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Clément Delangue – <a href="https://huggingface.co/">Website</a>, <a href="https://www.linkedin.com/in/clementdelangue">LinkedIn</a>, <a href="https://x.com/clementdelangue">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://huggingface.co/">Hugging Face</a></li><li><a href="https://medium.com/huggingface/our-new-app-voice-boloss-is-out-b7427d05da89">Voice Boloss</a></li><li>Transformer model episodes: <ul><li><a href="https://changelog.com/practicalai/22">BERT</a></li><li><a href="https://changelog.com/practicalai/32">GPT-2</a></li></ul></li><li><a href="https://github.com/huggingface/pytorch-pretrained-BERT">Hugging Face’s Pytorch pre-trained model repo</a></li><li><a href="https://rasa.com/">Rasa</a></li><li><a href="https://lyrebird.ai/">Lyrebird</a></li><li><a href="https://allenai.org/">Allen Institute for AI</a></li><li><a href="https://allennlp.org/">AllenNLP</a></li><li><a href="https://openai.com/">OpenAI</a></li><li><a href="https://www.fast.ai/">Fast.ai</a></li><li><a href="https://betaworksventures.com/camp">Betaworks Synthetic camp</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 18 Mar 2019 13:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/ac4fdee5/8cf19093.mp3" length="56345953" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2347</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Clément Delangue, the co-founder &amp; CEO of Hugging Face, joined us to discuss fun, social, and conversational AI. Clem explained why social AI is important, what products they are building (social AIs who learn to chit-chat, talk sassy and trades selfies with you), and how this intersects with the latest research in AI for natural language. He also shared his vision for how AI for natural language with develop over the next few years.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – <strong>Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads.</strong> Get started for free with a $100 credit. Learn more at <a href="https://do.co/changelog">do.co/changelog</a>. </li><li><a href="https://www.pluralsight.com/product/flow">GitPrime</a> – <a href="https://resources.gitprime.com/books/20-patterns/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog(q1)">Download GitPrime’s 20 Patterns book</a>, a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Clément Delangue – <a href="https://huggingface.co/">Website</a>, <a href="https://www.linkedin.com/in/clementdelangue">LinkedIn</a>, <a href="https://x.com/clementdelangue">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://huggingface.co/">Hugging Face</a></li><li><a href="https://medium.com/huggingface/our-new-app-voice-boloss-is-out-b7427d05da89">Voice Boloss</a></li><li>Transformer model episodes: <ul><li><a href="https://changelog.com/practicalai/22">BERT</a></li><li><a href="https://changelog.com/practicalai/32">GPT-2</a></li></ul></li><li><a href="https://github.com/huggingface/pytorch-pretrained-BERT">Hugging Face’s Pytorch pre-trained model repo</a></li><li><a href="https://rasa.com/">Rasa</a></li><li><a href="https://lyrebird.ai/">Lyrebird</a></li><li><a href="https://allenai.org/">Allen Institute for AI</a></li><li><a href="https://allennlp.org/">AllenNLP</a></li><li><a href="https://openai.com/">OpenAI</a></li><li><a href="https://www.fast.ai/">Fast.ai</a></li><li><a href="https://betaworksventures.com/camp">Betaworks Synthetic camp</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/clementdelangue" img="https://img.transistorcdn.com/YMDijdFK8REnRMW46AdHQ7iv2LKVTHNzlD7Qu2Qwzaw/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82ZGUy/MWRlMjFiYWMwZmRh/YzdjZDZiMzA1OTdm/NTY3ZC5wbmc.jpg">Clément Delangue</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>The White House Executive Order on AI</title>
      <itunes:episode>34</itunes:episode>
      <podcast:episode>34</podcast:episode>
      <itunes:title>The White House Executive Order on AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/bcdc7f10</link>
      <description>
        <![CDATA[<p>The White House recently published an “Executive Order on Maintaining American Leadership in Artificial Intelligence.” In this fully connected episode, we discuss the executive order in general and criticism from the AI community. We also draw some comparisons between this US executive order and other national strategies for leadership in AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Relevant learning resources:</p><ul><li><a href="https://www.coursera.org/learn/ai-for-everyone">AI for Everyone</a></li><li><a href="https://www.intel.ai/ai-ethics-toolkits/?spredfast-trk-id=sf208505013#gs.bnKXWOcP">Intel AI list of Ethics toolkits</a></li><li>Government data <ul><li><a href="https://www.data.gov/">Federal data portal</a></li><li><a href="https://data.cityofchicago.org/">Chicago data portal</a></li></ul></li></ul><p>References / notes:</p><ul><li><a href="https://www.whitehouse.gov/presidential-actions/executive-order-maintaining-american-leadership-artificial-intelligence/">The White House Executive Order</a></li><li><a href="https://spectrum.ieee.org/tech-talk/robotics/artificial-intelligence/4-experts-respond-to-trumps-executive-order-on-ai">4 Experts Respond to Trump’s Executive Order on AI</a></li><li><a href="https://www.recode.net/2019/2/13/18222433/trump-executive-order-ai-explained">Trump’s executive order on AI, explained</a></li><li><a href="https://www.sciencemag.org/news/2019/02/trump-launch-artificial-intelligence-initiative-many-details-lacking">Trump to launch artificial intelligence initiative, but many details lacking (Science)</a></li><li><a href="https://medium.com/politics-ai/an-overview-of-national-ai-strategies-2a70ec6edfd">National AI strategies overview (Medium article)</a></li><li><a href="https://www.inc.com/lenovo/being-in-business-means-being-a-difference-maker.html">China Is Leading in Artificial Intelligence–and American Businesses Should Take Note</a></li><li><a href="https://multimedia.scmp.com/news/china/article/2166148/china-2025-artificial-intelligence/index.html">China plans to be a world leader in Artificial Intelligence by 2030</a></li><li><a href="http://www.jfgagne.ai/talent">Global AI talent Report</a></li><li><a href="https://media.defense.gov/2019/Feb/12/2002088963/-1/-1/1/SUMMARY-OF-DOD-AI-STRATEGY.PDF">SUMMARY OF THE 2018 DEPARTMENT OF DEFENSE ARTIFICIAL INTELLIGENCE STRATEGY: Harnessing AI to Advance Our Security and Prosperity</a></li><li><a href="https://www.nytimes.com/2018/08/26/technology/pentagon-artificial-intelligence.html">Artificial Intelligence Is Now a Pentagon Priority. Will Silicon Valley Help?</a></li><li><a href="https://www.defense.gov/explore/story/Article/1755991/dod-takes-strategic-approach-to-artificial-intelligence">DOD Takes Strategic Approach to Artificial Intelligence</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0358105587">“AI Superpowers” by Kai-Fu Lee</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>The White House recently published an “Executive Order on Maintaining American Leadership in Artificial Intelligence.” In this fully connected episode, we discuss the executive order in general and criticism from the AI community. We also draw some comparisons between this US executive order and other national strategies for leadership in AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Relevant learning resources:</p><ul><li><a href="https://www.coursera.org/learn/ai-for-everyone">AI for Everyone</a></li><li><a href="https://www.intel.ai/ai-ethics-toolkits/?spredfast-trk-id=sf208505013#gs.bnKXWOcP">Intel AI list of Ethics toolkits</a></li><li>Government data <ul><li><a href="https://www.data.gov/">Federal data portal</a></li><li><a href="https://data.cityofchicago.org/">Chicago data portal</a></li></ul></li></ul><p>References / notes:</p><ul><li><a href="https://www.whitehouse.gov/presidential-actions/executive-order-maintaining-american-leadership-artificial-intelligence/">The White House Executive Order</a></li><li><a href="https://spectrum.ieee.org/tech-talk/robotics/artificial-intelligence/4-experts-respond-to-trumps-executive-order-on-ai">4 Experts Respond to Trump’s Executive Order on AI</a></li><li><a href="https://www.recode.net/2019/2/13/18222433/trump-executive-order-ai-explained">Trump’s executive order on AI, explained</a></li><li><a href="https://www.sciencemag.org/news/2019/02/trump-launch-artificial-intelligence-initiative-many-details-lacking">Trump to launch artificial intelligence initiative, but many details lacking (Science)</a></li><li><a href="https://medium.com/politics-ai/an-overview-of-national-ai-strategies-2a70ec6edfd">National AI strategies overview (Medium article)</a></li><li><a href="https://www.inc.com/lenovo/being-in-business-means-being-a-difference-maker.html">China Is Leading in Artificial Intelligence–and American Businesses Should Take Note</a></li><li><a href="https://multimedia.scmp.com/news/china/article/2166148/china-2025-artificial-intelligence/index.html">China plans to be a world leader in Artificial Intelligence by 2030</a></li><li><a href="http://www.jfgagne.ai/talent">Global AI talent Report</a></li><li><a href="https://media.defense.gov/2019/Feb/12/2002088963/-1/-1/1/SUMMARY-OF-DOD-AI-STRATEGY.PDF">SUMMARY OF THE 2018 DEPARTMENT OF DEFENSE ARTIFICIAL INTELLIGENCE STRATEGY: Harnessing AI to Advance Our Security and Prosperity</a></li><li><a href="https://www.nytimes.com/2018/08/26/technology/pentagon-artificial-intelligence.html">Artificial Intelligence Is Now a Pentagon Priority. Will Silicon Valley Help?</a></li><li><a href="https://www.defense.gov/explore/story/Article/1755991/dod-takes-strategic-approach-to-artificial-intelligence">DOD Takes Strategic Approach to Artificial Intelligence</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0358105587">“AI Superpowers” by Kai-Fu Lee</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 11 Mar 2019 07:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/bcdc7f10/4496345a.mp3" length="58471869" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2436</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>The White House recently published an “Executive Order on Maintaining American Leadership in Artificial Intelligence.” In this fully connected episode, we discuss the executive order in general and criticism from the AI community. We also draw some comparisons between this US executive order and other national strategies for leadership in AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Relevant learning resources:</p><ul><li><a href="https://www.coursera.org/learn/ai-for-everyone">AI for Everyone</a></li><li><a href="https://www.intel.ai/ai-ethics-toolkits/?spredfast-trk-id=sf208505013#gs.bnKXWOcP">Intel AI list of Ethics toolkits</a></li><li>Government data <ul><li><a href="https://www.data.gov/">Federal data portal</a></li><li><a href="https://data.cityofchicago.org/">Chicago data portal</a></li></ul></li></ul><p>References / notes:</p><ul><li><a href="https://www.whitehouse.gov/presidential-actions/executive-order-maintaining-american-leadership-artificial-intelligence/">The White House Executive Order</a></li><li><a href="https://spectrum.ieee.org/tech-talk/robotics/artificial-intelligence/4-experts-respond-to-trumps-executive-order-on-ai">4 Experts Respond to Trump’s Executive Order on AI</a></li><li><a href="https://www.recode.net/2019/2/13/18222433/trump-executive-order-ai-explained">Trump’s executive order on AI, explained</a></li><li><a href="https://www.sciencemag.org/news/2019/02/trump-launch-artificial-intelligence-initiative-many-details-lacking">Trump to launch artificial intelligence initiative, but many details lacking (Science)</a></li><li><a href="https://medium.com/politics-ai/an-overview-of-national-ai-strategies-2a70ec6edfd">National AI strategies overview (Medium article)</a></li><li><a href="https://www.inc.com/lenovo/being-in-business-means-being-a-difference-maker.html">China Is Leading in Artificial Intelligence–and American Businesses Should Take Note</a></li><li><a href="https://multimedia.scmp.com/news/china/article/2166148/china-2025-artificial-intelligence/index.html">China plans to be a world leader in Artificial Intelligence by 2030</a></li><li><a href="http://www.jfgagne.ai/talent">Global AI talent Report</a></li><li><a href="https://media.defense.gov/2019/Feb/12/2002088963/-1/-1/1/SUMMARY-OF-DOD-AI-STRATEGY.PDF">SUMMARY OF THE 2018 DEPARTMENT OF DEFENSE ARTIFICIAL INTELLIGENCE STRATEGY: Harnessing AI to Advance Our Security and Prosperity</a></li><li><a href="https://www.nytimes.com/2018/08/26/technology/pentagon-artificial-intelligence.html">Artificial Intelligence Is Now a Pentagon Priority. Will Silicon Valley Help?</a></li><li><a href="https://www.defense.gov/explore/story/Article/1755991/dod-takes-strategic-approach-to-artificial-intelligence">DOD Takes Strategic Approach to Artificial Intelligence</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0358105587">“AI Superpowers” by Kai-Fu Lee</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Staving off disaster through AI safety research</title>
      <itunes:episode>33</itunes:episode>
      <podcast:episode>33</podcast:episode>
      <itunes:title>Staving off disaster through AI safety research</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/676</guid>
      <link>https://share.transistor.fm/s/1fb58384</link>
      <description>
        <![CDATA[<p>While covering Applied Machine Learning Days in Switzerland, Chris met El Mahdi El Mhamdi by chance, and was fascinated with his work doing AI safety research at EPFL. El Mahdi agreed to come on the show to share his research into the vulnerabilities in machine learning that bad actors can take advantage of. We cover everything from poisoned data sets and hacked machines to AI-generated propaganda and fake news, so grab your James Bond 007 kit from Q Branch, and join us for this important conversation on the dark side of artificial intelligence.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>El Mahdi El Mhamdi – <a href="https://scholar.google.ch/citations?user=kNA-WLQAAAAJ">Website</a>, <a href="https://x.com/L_badikho">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.linkedin.com/in/mahdielmhamdi">El Mahdi El Mhamdi on LinkedIn</a></li><li><a href="https://scholar.google.ch/citations?user=kNA-WLQAAAAJ">Google Scholar</a></li><li><a href="https://elmahdielmhamdi.com">Personal blog</a></li><li><a href="https://www.who.int/emergencies/ten-threats-to-global-health-in-2019">World Health Organization | Ten threats to global health in 2019</a></li><li><a href="https://github.com/LPD-EPFL/AggregaThor/blob/master/README.md">AggregaThor</a></li><li><a href="http://proceedings.mlr.press/v80/mhamdi18a.html">The Hidden Vulnerability of Distributed Learning in Byzantium</a></li><li><a href="http://papers.nips.cc/paper/6617-machine-learning-with-adversaries-byzantine-tolerant-gradient-descent.pdf">Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent</a></li><li><a href="https://arxiv.org/abs/1802.07928">Asynchronous Byzantine Machine Learning (the case of SGD)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>While covering Applied Machine Learning Days in Switzerland, Chris met El Mahdi El Mhamdi by chance, and was fascinated with his work doing AI safety research at EPFL. El Mahdi agreed to come on the show to share his research into the vulnerabilities in machine learning that bad actors can take advantage of. We cover everything from poisoned data sets and hacked machines to AI-generated propaganda and fake news, so grab your James Bond 007 kit from Q Branch, and join us for this important conversation on the dark side of artificial intelligence.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>El Mahdi El Mhamdi – <a href="https://scholar.google.ch/citations?user=kNA-WLQAAAAJ">Website</a>, <a href="https://x.com/L_badikho">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.linkedin.com/in/mahdielmhamdi">El Mahdi El Mhamdi on LinkedIn</a></li><li><a href="https://scholar.google.ch/citations?user=kNA-WLQAAAAJ">Google Scholar</a></li><li><a href="https://elmahdielmhamdi.com">Personal blog</a></li><li><a href="https://www.who.int/emergencies/ten-threats-to-global-health-in-2019">World Health Organization | Ten threats to global health in 2019</a></li><li><a href="https://github.com/LPD-EPFL/AggregaThor/blob/master/README.md">AggregaThor</a></li><li><a href="http://proceedings.mlr.press/v80/mhamdi18a.html">The Hidden Vulnerability of Distributed Learning in Byzantium</a></li><li><a href="http://papers.nips.cc/paper/6617-machine-learning-with-adversaries-byzantine-tolerant-gradient-descent.pdf">Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent</a></li><li><a href="https://arxiv.org/abs/1802.07928">Asynchronous Byzantine Machine Learning (the case of SGD)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 04 Mar 2019 13:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/1fb58384/8c265abc.mp3" length="73442053" type="audio/mpeg"/>
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      <itunes:duration>3060</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>While covering Applied Machine Learning Days in Switzerland, Chris met El Mahdi El Mhamdi by chance, and was fascinated with his work doing AI safety research at EPFL. El Mahdi agreed to come on the show to share his research into the vulnerabilities in machine learning that bad actors can take advantage of. We cover everything from poisoned data sets and hacked machines to AI-generated propaganda and fake news, so grab your James Bond 007 kit from Q Branch, and join us for this important conversation on the dark side of artificial intelligence.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>El Mahdi El Mhamdi – <a href="https://scholar.google.ch/citations?user=kNA-WLQAAAAJ">Website</a>, <a href="https://x.com/L_badikho">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.linkedin.com/in/mahdielmhamdi">El Mahdi El Mhamdi on LinkedIn</a></li><li><a href="https://scholar.google.ch/citations?user=kNA-WLQAAAAJ">Google Scholar</a></li><li><a href="https://elmahdielmhamdi.com">Personal blog</a></li><li><a href="https://www.who.int/emergencies/ten-threats-to-global-health-in-2019">World Health Organization | Ten threats to global health in 2019</a></li><li><a href="https://github.com/LPD-EPFL/AggregaThor/blob/master/README.md">AggregaThor</a></li><li><a href="http://proceedings.mlr.press/v80/mhamdi18a.html">The Hidden Vulnerability of Distributed Learning in Byzantium</a></li><li><a href="http://papers.nips.cc/paper/6617-machine-learning-with-adversaries-byzantine-tolerant-gradient-descent.pdf">Machine Learning with Adversaries: Byzantine Tolerant Gradient Descent</a></li><li><a href="https://arxiv.org/abs/1802.07928">Asynchronous Byzantine Machine Learning (the case of SGD)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/elmahdielmhamdi" img="https://img.transistorcdn.com/fGql70twLtXcoubKoblI95teYQ_F7fBv4yuF0Q7l8Y8/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mZTc4/YmQwNDJhMDFkNzBk/MGZiMzVmYWU0ZGJl/YjBjOC5qcGc.jpg">El Mahdi El Mhamdi</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
    </item>
    <item>
      <title>OpenAI's new "dangerous" GPT-2 language model</title>
      <itunes:episode>32</itunes:episode>
      <podcast:episode>32</podcast:episode>
      <itunes:title>OpenAI's new "dangerous" GPT-2 language model</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/671</guid>
      <link>https://share.transistor.fm/s/723c06be</link>
      <description>
        <![CDATA[<p>This week we discuss GPT-2, a new transformer-based language model from OpenAI that has everyone talking. It’s capable of generating incredibly realistic text, and the AI community has lots of concerns about potential malicious applications. We help you understand GPT-2 and we discuss ethical concerns, responsible release of AI research, and resources that we have found useful in learning about language models.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Relevant learning resources:</p><ul><li>Jay Alammar “Illustrated” blog articles: <ul><li><a href="https://jalammar.github.io/illustrated-transformer/">The illustrated transformer</a></li><li><a href="http://jalammar.github.io/illustrated-bert/">The illustrated BERT, elmo, and co</a></li></ul></li><li>Machine Learning Explained blog: <ul><li><a href="http://mlexplained.com/2019/01/30/an-in-depth-tutorial-to-allennlp-from-basics-to-elmo-and-bert/">An In-Depth Tutorial to AllenNLP (From Basics to ELMo and BERT)</a></li><li><a href="http://mlexplained.com/2019/01/07/paper-dissected-bert-pre-training-of-deep-bidirectional-transformers-for-language-understanding-explained/">Paper Dissected: “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding” Explained</a></li></ul></li></ul><p>References/notes:</p><ul><li><a href="https://blog.openai.com/better-language-models/">GPT-2 blog post from OpenAI</a></li><li><a href="https://d4mucfpksywv.cloudfront.net/better-language-models/language-models.pdf">GPT-2 Paper</a></li><li><a href="https://github.com/openai/gpt-2">GPT-2 GitHub Repo</a></li><li><a href="https://github.com/huggingface/pytorch-pretrained-BERT">GPT-2 PyTorch implementation</a></li><li><a href="https://changelog.com/practicalai/22">Episode 22 of Practical AI about BERT</a></li><li><a href="https://towardsdatascience.com/openais-gpt-2-the-model-the-hype-and-the-controversy-1109f4bfd5e8">OpenAI’s GPT-2: the model, the hype, and the controversy (towardsdatascience)</a></li><li><a href="https://www.wired.com/story/ai-text-generator-too-dangerous-to-make-public/">The AI Text Generator That’s Too Dangerous to Make Public (Wired)</a></li><li><a href="https://arxiv.org/pdf/1706.03762.pdf">Transformer paper</a></li><li><a href="https://blog.openai.com/preparing-for-malicious-uses-of-ai/">Preparing for malicious uses of AI (OpenAI blog)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>This week we discuss GPT-2, a new transformer-based language model from OpenAI that has everyone talking. It’s capable of generating incredibly realistic text, and the AI community has lots of concerns about potential malicious applications. We help you understand GPT-2 and we discuss ethical concerns, responsible release of AI research, and resources that we have found useful in learning about language models.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Relevant learning resources:</p><ul><li>Jay Alammar “Illustrated” blog articles: <ul><li><a href="https://jalammar.github.io/illustrated-transformer/">The illustrated transformer</a></li><li><a href="http://jalammar.github.io/illustrated-bert/">The illustrated BERT, elmo, and co</a></li></ul></li><li>Machine Learning Explained blog: <ul><li><a href="http://mlexplained.com/2019/01/30/an-in-depth-tutorial-to-allennlp-from-basics-to-elmo-and-bert/">An In-Depth Tutorial to AllenNLP (From Basics to ELMo and BERT)</a></li><li><a href="http://mlexplained.com/2019/01/07/paper-dissected-bert-pre-training-of-deep-bidirectional-transformers-for-language-understanding-explained/">Paper Dissected: “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding” Explained</a></li></ul></li></ul><p>References/notes:</p><ul><li><a href="https://blog.openai.com/better-language-models/">GPT-2 blog post from OpenAI</a></li><li><a href="https://d4mucfpksywv.cloudfront.net/better-language-models/language-models.pdf">GPT-2 Paper</a></li><li><a href="https://github.com/openai/gpt-2">GPT-2 GitHub Repo</a></li><li><a href="https://github.com/huggingface/pytorch-pretrained-BERT">GPT-2 PyTorch implementation</a></li><li><a href="https://changelog.com/practicalai/22">Episode 22 of Practical AI about BERT</a></li><li><a href="https://towardsdatascience.com/openais-gpt-2-the-model-the-hype-and-the-controversy-1109f4bfd5e8">OpenAI’s GPT-2: the model, the hype, and the controversy (towardsdatascience)</a></li><li><a href="https://www.wired.com/story/ai-text-generator-too-dangerous-to-make-public/">The AI Text Generator That’s Too Dangerous to Make Public (Wired)</a></li><li><a href="https://arxiv.org/pdf/1706.03762.pdf">Transformer paper</a></li><li><a href="https://blog.openai.com/preparing-for-malicious-uses-of-ai/">Preparing for malicious uses of AI (OpenAI blog)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 25 Feb 2019 15:15:00 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>2430</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>This week we discuss GPT-2, a new transformer-based language model from OpenAI that has everyone talking. It’s capable of generating incredibly realistic text, and the AI community has lots of concerns about potential malicious applications. We help you understand GPT-2 and we discuss ethical concerns, responsible release of AI research, and resources that we have found useful in learning about language models.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Relevant learning resources:</p><ul><li>Jay Alammar “Illustrated” blog articles: <ul><li><a href="https://jalammar.github.io/illustrated-transformer/">The illustrated transformer</a></li><li><a href="http://jalammar.github.io/illustrated-bert/">The illustrated BERT, elmo, and co</a></li></ul></li><li>Machine Learning Explained blog: <ul><li><a href="http://mlexplained.com/2019/01/30/an-in-depth-tutorial-to-allennlp-from-basics-to-elmo-and-bert/">An In-Depth Tutorial to AllenNLP (From Basics to ELMo and BERT)</a></li><li><a href="http://mlexplained.com/2019/01/07/paper-dissected-bert-pre-training-of-deep-bidirectional-transformers-for-language-understanding-explained/">Paper Dissected: “BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding” Explained</a></li></ul></li></ul><p>References/notes:</p><ul><li><a href="https://blog.openai.com/better-language-models/">GPT-2 blog post from OpenAI</a></li><li><a href="https://d4mucfpksywv.cloudfront.net/better-language-models/language-models.pdf">GPT-2 Paper</a></li><li><a href="https://github.com/openai/gpt-2">GPT-2 GitHub Repo</a></li><li><a href="https://github.com/huggingface/pytorch-pretrained-BERT">GPT-2 PyTorch implementation</a></li><li><a href="https://changelog.com/practicalai/22">Episode 22 of Practical AI about BERT</a></li><li><a href="https://towardsdatascience.com/openais-gpt-2-the-model-the-hype-and-the-controversy-1109f4bfd5e8">OpenAI’s GPT-2: the model, the hype, and the controversy (towardsdatascience)</a></li><li><a href="https://www.wired.com/story/ai-text-generator-too-dangerous-to-make-public/">The AI Text Generator That’s Too Dangerous to Make Public (Wired)</a></li><li><a href="https://arxiv.org/pdf/1706.03762.pdf">Transformer paper</a></li><li><a href="https://blog.openai.com/preparing-for-malicious-uses-of-ai/">Preparing for malicious uses of AI (OpenAI blog)</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>AI for social good at Intel</title>
      <itunes:episode>31</itunes:episode>
      <podcast:episode>31</podcast:episode>
      <itunes:title>AI for social good at Intel</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/668</guid>
      <link>https://share.transistor.fm/s/3cd50c4c</link>
      <description>
        <![CDATA[<p>While at Applied Machine Learning Days in Lausanne, Switzerland, Chris had an inspiring conversation with Anna Bethke, Head of AI for Social Good at Intel. Anna reveals how she started the AI for Social Good program at Intel, and goes on to share the positive impact this program has had - from stopping animal poachers, to helping the National Center for Missing &amp; Exploited Children. Through this AI for Social Good program, Intel clearly demonstrates how a for-profit business can effectively use AI to make the world a better place for us all.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Anna Bethke – <a href="https://www.linkedin.com/in/annabethke">LinkedIn</a>, <a href="https://x.com/data_beth">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.intel.ai/ai4socialgood">AI for Social Good at Intel</a></li><li><a href="http://missingkids.com">National Center for Missing &amp; Exploited Children</a></li><li><a href="https://datafordemocracy.org">Data for Democracy</a></li><li><a href="https://www.datakind.org">Data Kind</a></li><li><a href="http://www.deltanalytics.org">Delta Analytics</a></li><li><a href="https://www.drivendata.org">Driven Data</a></li><li><a href="https://www.partnershiponai.org">Partnership on AI</a></li><li><a href="https://www.techjobsforgood.com">Tech Jobs for Good</a></li><li><a href="https://www.appliedmldays.org">Applied Machine Learning Days</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>While at Applied Machine Learning Days in Lausanne, Switzerland, Chris had an inspiring conversation with Anna Bethke, Head of AI for Social Good at Intel. Anna reveals how she started the AI for Social Good program at Intel, and goes on to share the positive impact this program has had - from stopping animal poachers, to helping the National Center for Missing &amp; Exploited Children. Through this AI for Social Good program, Intel clearly demonstrates how a for-profit business can effectively use AI to make the world a better place for us all.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Anna Bethke – <a href="https://www.linkedin.com/in/annabethke">LinkedIn</a>, <a href="https://x.com/data_beth">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.intel.ai/ai4socialgood">AI for Social Good at Intel</a></li><li><a href="http://missingkids.com">National Center for Missing &amp; Exploited Children</a></li><li><a href="https://datafordemocracy.org">Data for Democracy</a></li><li><a href="https://www.datakind.org">Data Kind</a></li><li><a href="http://www.deltanalytics.org">Delta Analytics</a></li><li><a href="https://www.drivendata.org">Driven Data</a></li><li><a href="https://www.partnershiponai.org">Partnership on AI</a></li><li><a href="https://www.techjobsforgood.com">Tech Jobs for Good</a></li><li><a href="https://www.appliedmldays.org">Applied Machine Learning Days</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 20 Feb 2019 07:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/3cd50c4c/afb31493.mp3" length="54692061" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2278</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>While at Applied Machine Learning Days in Lausanne, Switzerland, Chris had an inspiring conversation with Anna Bethke, Head of AI for Social Good at Intel. Anna reveals how she started the AI for Social Good program at Intel, and goes on to share the positive impact this program has had - from stopping animal poachers, to helping the National Center for Missing &amp; Exploited Children. Through this AI for Social Good program, Intel clearly demonstrates how a for-profit business can effectively use AI to make the world a better place for us all.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Anna Bethke – <a href="https://www.linkedin.com/in/annabethke">LinkedIn</a>, <a href="https://x.com/data_beth">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.intel.ai/ai4socialgood">AI for Social Good at Intel</a></li><li><a href="http://missingkids.com">National Center for Missing &amp; Exploited Children</a></li><li><a href="https://datafordemocracy.org">Data for Democracy</a></li><li><a href="https://www.datakind.org">Data Kind</a></li><li><a href="http://www.deltanalytics.org">Delta Analytics</a></li><li><a href="https://www.drivendata.org">Driven Data</a></li><li><a href="https://www.partnershiponai.org">Partnership on AI</a></li><li><a href="https://www.techjobsforgood.com">Tech Jobs for Good</a></li><li><a href="https://www.appliedmldays.org">Applied Machine Learning Days</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/annabethke" img="https://img.transistorcdn.com/EJ3_Kt_zOddq0aJT9T5nO010enZcYTi6zneUcC3JKJA/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jNzIx/MmVkYjViYzk5ZjFk/YjY4YmMxOTI3ZTQ1/MTdjYi5qcGc.jpg">Anna Bethke</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
    </item>
    <item>
      <title>GirlsCoding.org empowers young women to embrace computer science</title>
      <itunes:episode>30</itunes:episode>
      <podcast:episode>30</podcast:episode>
      <itunes:title>GirlsCoding.org empowers young women to embrace computer science</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/666</guid>
      <link>https://share.transistor.fm/s/b701f20b</link>
      <description>
        <![CDATA[<p>Chris sat down with Marta Martinez-Cámara and Miranda Kreković to learn how GirlsCoding.org is inspiring 9–16-year-old girls to learn about computer science. The site is successfully empowering young women to recognize computer science as a valid career choice through hands-on workshops, role models, and by smashing prevalent gender stereotypes. This is an episode that you’ll want to listen to with your daughter!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Marta Martinez-Cámara – <a href="https://www.linkedin.com/in/marta-martinez-camara-84284bb4">Website</a></li><li>Miranda Kreković – <a href="https://www.linkedin.com/in/mirandakrekovic">Website</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="http://girlscoding.org">GirlsCoding.org</a></li><li><a href="https://twitter.com/Girls_Coding_">GirlsCoding.org on Twitter</a></li><li><a href="https://www.linkedin.com/company/girlscoding-org">GirlsCoding.org on LinkedIn</a></li><li><a href="https://www.facebook.com/allgirlscoding">GirlsCoding on Facebook</a></li><li><a href="https://youtu.be/OS_WGzUL_OY">GirlsCoding.org at Applied Machine Learning Days</a></li><li><a href="https://www.appliedmldays.org">Applied Machine Learning Days</a></li><li><a href="https://www.epfl.ch/en/home">École Polytechnique Fédérale de Lausanne</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Chris sat down with Marta Martinez-Cámara and Miranda Kreković to learn how GirlsCoding.org is inspiring 9–16-year-old girls to learn about computer science. The site is successfully empowering young women to recognize computer science as a valid career choice through hands-on workshops, role models, and by smashing prevalent gender stereotypes. This is an episode that you’ll want to listen to with your daughter!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Marta Martinez-Cámara – <a href="https://www.linkedin.com/in/marta-martinez-camara-84284bb4">Website</a></li><li>Miranda Kreković – <a href="https://www.linkedin.com/in/mirandakrekovic">Website</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="http://girlscoding.org">GirlsCoding.org</a></li><li><a href="https://twitter.com/Girls_Coding_">GirlsCoding.org on Twitter</a></li><li><a href="https://www.linkedin.com/company/girlscoding-org">GirlsCoding.org on LinkedIn</a></li><li><a href="https://www.facebook.com/allgirlscoding">GirlsCoding on Facebook</a></li><li><a href="https://youtu.be/OS_WGzUL_OY">GirlsCoding.org at Applied Machine Learning Days</a></li><li><a href="https://www.appliedmldays.org">Applied Machine Learning Days</a></li><li><a href="https://www.epfl.ch/en/home">École Polytechnique Fédérale de Lausanne</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 13 Feb 2019 11:11:16 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/b701f20b/23432ca9.mp3" length="58516369" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2437</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Chris sat down with Marta Martinez-Cámara and Miranda Kreković to learn how GirlsCoding.org is inspiring 9–16-year-old girls to learn about computer science. The site is successfully empowering young women to recognize computer science as a valid career choice through hands-on workshops, role models, and by smashing prevalent gender stereotypes. This is an episode that you’ll want to listen to with your daughter!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Marta Martinez-Cámara – <a href="https://www.linkedin.com/in/marta-martinez-camara-84284bb4">Website</a></li><li>Miranda Kreković – <a href="https://www.linkedin.com/in/mirandakrekovic">Website</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="http://girlscoding.org">GirlsCoding.org</a></li><li><a href="https://twitter.com/Girls_Coding_">GirlsCoding.org on Twitter</a></li><li><a href="https://www.linkedin.com/company/girlscoding-org">GirlsCoding.org on LinkedIn</a></li><li><a href="https://www.facebook.com/allgirlscoding">GirlsCoding on Facebook</a></li><li><a href="https://youtu.be/OS_WGzUL_OY">GirlsCoding.org at Applied Machine Learning Days</a></li><li><a href="https://www.appliedmldays.org">Applied Machine Learning Days</a></li><li><a href="https://www.epfl.ch/en/home">École Polytechnique Fédérale de Lausanne</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/martamartinezcamara" img="https://img.transistorcdn.com/vx72k94XvQgRkOzgq3N4tp3gcVzXY0xd6TwPn4p34eg/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lM2Y1/ZjY5ZjQyMDZlYjRm/MGJmZjQ0MTNmZjhk/YjBkMS5qcGc.jpg">Marta Martinez-Cámara</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/mirandakrekovic" img="https://img.transistorcdn.com/kCNrHRJQ9_QP6HQp2JBNITHjyk3G0o6d2_jjRVE1Fn4/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80NWRk/OWIzOWNiNDk0ZWNj/NzBlMDBlN2JjOWE4/NjI5My5qcGc.jpg">Miranda Kreković</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
    </item>
    <item>
      <title>How Microsoft is using AI to help the Earth</title>
      <itunes:episode>29</itunes:episode>
      <podcast:episode>29</podcast:episode>
      <itunes:title>How Microsoft is using AI to help the Earth</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/661</guid>
      <link>https://share.transistor.fm/s/4c8b3258</link>
      <description>
        <![CDATA[<p>Chris caught up with Jennifer Marsman, Principal Engineer on the AI for Earth team at Microsoft, right before her speech at Applied Machine Learning Days 2019 in Lausanne, Switzerland. She relayed how the team came into being, what they do, and some of the good deeds they have done for Mother Earth. They are giving away $50 million (US) in grants over five years! It was another excellent example of AI for good!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Jennifer Marsman – <a href="https://github.com/jennifermarsman">GitHub</a>, <a href="https://x.com/jennifermarsman">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://blogs.msdn.microsoft.com/jennifer">Jennifer Marsman’s blog</a></li><li><a href="https://www.microsoft.com/en-us/ai-for-earth">AI for Earth</a></li><li><a href="https://www.microsoft.com/en-us/research/project/project-premonition">Project Premonition (mosquitos/genomics)</a></li><li><a href="https://blogs.msdn.microsoft.com/jennifer/2017/05/01/precision-agriculture-with-iot-machine-learning-drones-and-networking-research">FarmBeats (agriculture)</a></li><li><a href="https://www.wildme.org">Wildbook (recognizing individual animals) #1</a></li><li><a href="https://www.wildbook.org">Wildbook (recognizing individual animals) #2</a></li><li><a href="http://lila.science">Repository of data sets</a></li><li><a href="https://twitter.com/microsoft_green">Microsoft Green Twitter</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Chris caught up with Jennifer Marsman, Principal Engineer on the AI for Earth team at Microsoft, right before her speech at Applied Machine Learning Days 2019 in Lausanne, Switzerland. She relayed how the team came into being, what they do, and some of the good deeds they have done for Mother Earth. They are giving away $50 million (US) in grants over five years! It was another excellent example of AI for good!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Jennifer Marsman – <a href="https://github.com/jennifermarsman">GitHub</a>, <a href="https://x.com/jennifermarsman">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://blogs.msdn.microsoft.com/jennifer">Jennifer Marsman’s blog</a></li><li><a href="https://www.microsoft.com/en-us/ai-for-earth">AI for Earth</a></li><li><a href="https://www.microsoft.com/en-us/research/project/project-premonition">Project Premonition (mosquitos/genomics)</a></li><li><a href="https://blogs.msdn.microsoft.com/jennifer/2017/05/01/precision-agriculture-with-iot-machine-learning-drones-and-networking-research">FarmBeats (agriculture)</a></li><li><a href="https://www.wildme.org">Wildbook (recognizing individual animals) #1</a></li><li><a href="https://www.wildbook.org">Wildbook (recognizing individual animals) #2</a></li><li><a href="http://lila.science">Repository of data sets</a></li><li><a href="https://twitter.com/microsoft_green">Microsoft Green Twitter</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 04 Feb 2019 13:06:16 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/4c8b3258/4c4f2fc4.mp3" length="64363167" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2681</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Chris caught up with Jennifer Marsman, Principal Engineer on the AI for Earth team at Microsoft, right before her speech at Applied Machine Learning Days 2019 in Lausanne, Switzerland. She relayed how the team came into being, what they do, and some of the good deeds they have done for Mother Earth. They are giving away $50 million (US) in grants over five years! It was another excellent example of AI for good!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Jennifer Marsman – <a href="https://github.com/jennifermarsman">GitHub</a>, <a href="https://x.com/jennifermarsman">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://blogs.msdn.microsoft.com/jennifer">Jennifer Marsman’s blog</a></li><li><a href="https://www.microsoft.com/en-us/ai-for-earth">AI for Earth</a></li><li><a href="https://www.microsoft.com/en-us/research/project/project-premonition">Project Premonition (mosquitos/genomics)</a></li><li><a href="https://blogs.msdn.microsoft.com/jennifer/2017/05/01/precision-agriculture-with-iot-machine-learning-drones-and-networking-research">FarmBeats (agriculture)</a></li><li><a href="https://www.wildme.org">Wildbook (recognizing individual animals) #1</a></li><li><a href="https://www.wildbook.org">Wildbook (recognizing individual animals) #2</a></li><li><a href="http://lila.science">Repository of data sets</a></li><li><a href="https://twitter.com/microsoft_green">Microsoft Green Twitter</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/jennifermarsman" img="https://img.transistorcdn.com/qphA7M7WvMLrcvPan_b2dgf_hOgB9ae6y78eLSoNwIY/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80ZjYx/MTkyYjBjOTJjODA3/MjYxMjIyNGU2Mzll/OWM5Yy5qcGc.jpg">Jennifer Marsman</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
    </item>
    <item>
      <title>New year’s resolution:  dive into deep learning!</title>
      <itunes:episode>28</itunes:episode>
      <podcast:episode>28</podcast:episode>
      <itunes:title>New year’s resolution:  dive into deep learning!</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/657</guid>
      <link>https://share.transistor.fm/s/f10e6bbc</link>
      <description>
        <![CDATA[<p><strong><em>Fully Connected</em></strong><em> – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.</em></p><p>If you’re anything like us, your New Year’s resolutions probably included an AI section, so this week we explore some of the learning resources available for artificial intelligence and deep learning. Where you go with it depends upon what you want to achieve, so we discuss academic versus industry career paths, and try to set you on the Practical AI path that will help you level up.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Courses</p><ul><li><a href="https://aws.amazon.com/training/learning-paths/machine-learning">Amazon Machine Learning with AWS</a></li><li><a href="https://developers.google.com/machine-learning/crash-course">Google Machine Learning Crash Course with TensorFlow APIs</a></li><li><a href="https://academy.microsoft.com/en-us/professional-program/tracks/artificial-intelligence">Microsoft Professional Program for Artificial Intelligence</a></li><li><a href="https://www.deeplearning.ai/deep-learning-specialization">Coursera / deeplearning.ai</a></li><li><a href="https://www.nvidia.com/en-us/deep-learning-ai/education">NVIDIA Deep Learning Institute</a></li><li><a href="https://www.techrepublic.com/article/google-amazon-microsoft-how-do-their-free-machine-learning-courses-compare">Google, Amazon, Microsoft: How do their free machine-learning courses compare?</a></li><li><a href="https://www.youtube.com/watch?v=PPLop4L2eGk&amp;list=PLLssT5z_DsK-h9vYZkQkYNWcItqhlRJLN">Stanford Machine Learning Videos on YouTube</a></li></ul><p>Books</p><ul><li><a href="http://www.deeplearningbook.org">“Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville</a></li><li><a href="https://www.amazon.com/dp/1491978236">“Natural Language Processing with PyTorch” by Delip Rao and Brian McMahan</a></li><li><a href="https://www.amazon.com/dp/1789619890">“Machine Learning With Go” by Daniel Whitenack and Janani Selvaraj</a></li></ul><p>(Daniel is too humble to put his own book in this list, so Chris inserted it above without Daniel’s knowledge - because it’s a damn fine book!)</p><p>Hybrid resources</p><p><a href="https://developers.google.com/machine-learning/crash-course">Machine learning with TensorFlow crash course</a><br> <a href="https://in.udacity.com/course/deep-learning-pytorch--ud188">Intro to deep learning with PyTorch</a><br> <a href="https://blog.openai.com/spinning-up-in-deep-rl">Spinning Up in Deep RL</a></p><p>Meetups</p><p><a href="https://www.meetup.com/pro/pydata">PyData</a><br> <a href="http://atlantadeeplearning.org">Atlanta Deep Learning Meetup</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong><em>Fully Connected</em></strong><em> – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.</em></p><p>If you’re anything like us, your New Year’s resolutions probably included an AI section, so this week we explore some of the learning resources available for artificial intelligence and deep learning. Where you go with it depends upon what you want to achieve, so we discuss academic versus industry career paths, and try to set you on the Practical AI path that will help you level up.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Courses</p><ul><li><a href="https://aws.amazon.com/training/learning-paths/machine-learning">Amazon Machine Learning with AWS</a></li><li><a href="https://developers.google.com/machine-learning/crash-course">Google Machine Learning Crash Course with TensorFlow APIs</a></li><li><a href="https://academy.microsoft.com/en-us/professional-program/tracks/artificial-intelligence">Microsoft Professional Program for Artificial Intelligence</a></li><li><a href="https://www.deeplearning.ai/deep-learning-specialization">Coursera / deeplearning.ai</a></li><li><a href="https://www.nvidia.com/en-us/deep-learning-ai/education">NVIDIA Deep Learning Institute</a></li><li><a href="https://www.techrepublic.com/article/google-amazon-microsoft-how-do-their-free-machine-learning-courses-compare">Google, Amazon, Microsoft: How do their free machine-learning courses compare?</a></li><li><a href="https://www.youtube.com/watch?v=PPLop4L2eGk&amp;list=PLLssT5z_DsK-h9vYZkQkYNWcItqhlRJLN">Stanford Machine Learning Videos on YouTube</a></li></ul><p>Books</p><ul><li><a href="http://www.deeplearningbook.org">“Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville</a></li><li><a href="https://www.amazon.com/dp/1491978236">“Natural Language Processing with PyTorch” by Delip Rao and Brian McMahan</a></li><li><a href="https://www.amazon.com/dp/1789619890">“Machine Learning With Go” by Daniel Whitenack and Janani Selvaraj</a></li></ul><p>(Daniel is too humble to put his own book in this list, so Chris inserted it above without Daniel’s knowledge - because it’s a damn fine book!)</p><p>Hybrid resources</p><p><a href="https://developers.google.com/machine-learning/crash-course">Machine learning with TensorFlow crash course</a><br> <a href="https://in.udacity.com/course/deep-learning-pytorch--ud188">Intro to deep learning with PyTorch</a><br> <a href="https://blog.openai.com/spinning-up-in-deep-rl">Spinning Up in Deep RL</a></p><p>Meetups</p><p><a href="https://www.meetup.com/pro/pydata">PyData</a><br> <a href="http://atlantadeeplearning.org">Atlanta Deep Learning Meetup</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 28 Jan 2019 07:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>2135</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong><em>Fully Connected</em></strong><em> – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.</em></p><p>If you’re anything like us, your New Year’s resolutions probably included an AI section, so this week we explore some of the learning resources available for artificial intelligence and deep learning. Where you go with it depends upon what you want to achieve, so we discuss academic versus industry career paths, and try to set you on the Practical AI path that will help you level up.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We move fast and fix things because of Rollbar.</strong> Resolve errors in minutes. Deploy with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>Courses</p><ul><li><a href="https://aws.amazon.com/training/learning-paths/machine-learning">Amazon Machine Learning with AWS</a></li><li><a href="https://developers.google.com/machine-learning/crash-course">Google Machine Learning Crash Course with TensorFlow APIs</a></li><li><a href="https://academy.microsoft.com/en-us/professional-program/tracks/artificial-intelligence">Microsoft Professional Program for Artificial Intelligence</a></li><li><a href="https://www.deeplearning.ai/deep-learning-specialization">Coursera / deeplearning.ai</a></li><li><a href="https://www.nvidia.com/en-us/deep-learning-ai/education">NVIDIA Deep Learning Institute</a></li><li><a href="https://www.techrepublic.com/article/google-amazon-microsoft-how-do-their-free-machine-learning-courses-compare">Google, Amazon, Microsoft: How do their free machine-learning courses compare?</a></li><li><a href="https://www.youtube.com/watch?v=PPLop4L2eGk&amp;list=PLLssT5z_DsK-h9vYZkQkYNWcItqhlRJLN">Stanford Machine Learning Videos on YouTube</a></li></ul><p>Books</p><ul><li><a href="http://www.deeplearningbook.org">“Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville</a></li><li><a href="https://www.amazon.com/dp/1491978236">“Natural Language Processing with PyTorch” by Delip Rao and Brian McMahan</a></li><li><a href="https://www.amazon.com/dp/1789619890">“Machine Learning With Go” by Daniel Whitenack and Janani Selvaraj</a></li></ul><p>(Daniel is too humble to put his own book in this list, so Chris inserted it above without Daniel’s knowledge - because it’s a damn fine book!)</p><p>Hybrid resources</p><p><a href="https://developers.google.com/machine-learning/crash-course">Machine learning with TensorFlow crash course</a><br> <a href="https://in.udacity.com/course/deep-learning-pytorch--ud188">Intro to deep learning with PyTorch</a><br> <a href="https://blog.openai.com/spinning-up-in-deep-rl">Spinning Up in Deep RL</a></p><p>Meetups</p><p><a href="https://www.meetup.com/pro/pydata">PyData</a><br> <a href="http://atlantadeeplearning.org">Atlanta Deep Learning Meetup</a></p><p><br>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>IBM's AI for detecting neurological state</title>
      <itunes:episode>27</itunes:episode>
      <podcast:episode>27</podcast:episode>
      <itunes:title>IBM's AI for detecting neurological state</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/458a9165</link>
      <description>
        <![CDATA[<p>Ajay Royyuru and Guillermo Cecchi from IBM Healthcare join Chris and Daniel to discuss the emerging field of computational psychiatry. They talk about how researchers at IBM are applying AI to measure mental and neurological health based on speech, and they give us their perspectives on things like bias in healthcare data, AI augmentation for doctors, and encodings of language structure.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Ajay Royyuru – <a href="https://www.linkedin.com/in/ajayroyyuru/">Website</a></li><li>Guillermo Cecchi – </li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.ibm.com/blogs/research/2017/01/ibm-5-in-5-our-words-will-be-the-windows-to-our-mental-health/">IBM 5 in 5: With AI, our words will be a window into our mental health</a></li><li><a href="http://www.scitepress.org/Papers/2018/67340/67340.pdf">Predicting Cognitive Impairments with a Mobile Application</a></li><li><a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5887598/">Automated analysis of recent-onset and prodromal schizophrenia</a></li><li><a href="https://onlinelibrary.wiley.com/doi/full/10.1002/wps.20491">Prediction of psychosis across protocols and risk cohorts using automated language analysis</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Ajay Royyuru and Guillermo Cecchi from IBM Healthcare join Chris and Daniel to discuss the emerging field of computational psychiatry. They talk about how researchers at IBM are applying AI to measure mental and neurological health based on speech, and they give us their perspectives on things like bias in healthcare data, AI augmentation for doctors, and encodings of language structure.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Ajay Royyuru – <a href="https://www.linkedin.com/in/ajayroyyuru/">Website</a></li><li>Guillermo Cecchi – </li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.ibm.com/blogs/research/2017/01/ibm-5-in-5-our-words-will-be-the-windows-to-our-mental-health/">IBM 5 in 5: With AI, our words will be a window into our mental health</a></li><li><a href="http://www.scitepress.org/Papers/2018/67340/67340.pdf">Predicting Cognitive Impairments with a Mobile Application</a></li><li><a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5887598/">Automated analysis of recent-onset and prodromal schizophrenia</a></li><li><a href="https://onlinelibrary.wiley.com/doi/full/10.1002/wps.20491">Prediction of psychosis across protocols and risk cohorts using automated language analysis</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 21 Jan 2019 07:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2504</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Ajay Royyuru and Guillermo Cecchi from IBM Healthcare join Chris and Daniel to discuss the emerging field of computational psychiatry. They talk about how researchers at IBM are applying AI to measure mental and neurological health based on speech, and they give us their perspectives on things like bias in healthcare data, AI augmentation for doctors, and encodings of language structure.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Ajay Royyuru – <a href="https://www.linkedin.com/in/ajayroyyuru/">Website</a></li><li>Guillermo Cecchi – </li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.ibm.com/blogs/research/2017/01/ibm-5-in-5-our-words-will-be-the-windows-to-our-mental-health/">IBM 5 in 5: With AI, our words will be a window into our mental health</a></li><li><a href="http://www.scitepress.org/Papers/2018/67340/67340.pdf">Predicting Cognitive Impairments with a Mobile Application</a></li><li><a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5887598/">Automated analysis of recent-onset and prodromal schizophrenia</a></li><li><a href="https://onlinelibrary.wiley.com/doi/full/10.1002/wps.20491">Prediction of psychosis across protocols and risk cohorts using automated language analysis</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/ajayr" img="https://img.transistorcdn.com/wuvtmI_TWO5kkLpnmNTwqSjrKvgAA0Q4p8C6EqDiAec/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83ZDAw/YTU4YzE1ZjhjOWE4/OGI1ZmI1NWQyZmMy/NmFjYi5qcGVn.jpg">Ajay Royyuru</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/guillermocecchi" img="https://img.transistorcdn.com/arEyr4YzvCEbCl9Tpko7OWaj1OCJOmWm2vC44UUOxig/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hZjky/NjliNzI2ZTQ1NWU4/NDI3MDBjYjM4YTM3/Y2I5OC5qcGc.jpg">Guillermo Cecchi</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>2018 in review and bold predictions for 2019</title>
      <itunes:episode>26</itunes:episode>
      <podcast:episode>26</podcast:episode>
      <itunes:title>2018 in review and bold predictions for 2019</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/1189adf8</link>
      <description>
        <![CDATA[<p><strong><em>Fully Connected</em></strong><em> – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.</em></p><p>This week we look back at 2018 - from the GDPR and the Cambridge Analytica scandal, to advances in natural language processing and new open source tools. Then we offer our predications for what we expect in the year ahead, touching on just about everything in the world of AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>2018 in Review</p><ul><li>Focus on more challenging ML problems</li><li>Semi-supervised learning</li><li>Domain adaptation</li><li>Generative models</li><li>Reinforcement learning</li><li>NLP</li><li>ELMO</li><li>BERT</li><li>Fear about AI</li><li>GDPR, trust and privacy</li><li>Cambridge analytica</li><li>Facial recognition</li><li>Tons of open sourced tooling, models</li></ul><p>Predictions for 2019</p><ul><li>Focus on trust and transparency</li><li>Bias</li><li>Regulation</li><li>GDPR and transparency, interpretability</li><li>What will other countries do regarding regulation?</li><li>AI for good</li><li>Better voice and conversational results</li><li>AI assistants</li><li>Voice interfaces</li><li>NLP advances</li><li>More focus on product development, less on research</li><li>Deep learning will explode in production product / service development</li><li>Computer vision, NLP, speech recognition will be table stakes</li><li>Increased accessibility of DL to software engineers / developers</li><li>More testing/tooling</li><li>Better training for data scientists</li><li>Better integrations and infrastructure</li><li>AutoML</li><li>Organizational / Cultural Shifts</li><li>New roles for data-based leadership - CDO, CAIO, etc.,</li><li>Strategy - AI becoming first-class concern</li><li>Competitive Analysis - AI and data assessments mandatory</li><li>Fragmentation into distinct subfields - AI, analytics, data science, prognostics</li><li>A changing relationship between humans and automation</li><li>AI + robotics - first steps</li><li>Pervasive AI + IoT - first steps</li><li>The importance of creative expertise for humans</li><li>How to school your child today to prep for tomorrow</li><li>Narrowly-scoped, highly-specific job functions at most risk</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong><em>Fully Connected</em></strong><em> – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.</em></p><p>This week we look back at 2018 - from the GDPR and the Cambridge Analytica scandal, to advances in natural language processing and new open source tools. Then we offer our predications for what we expect in the year ahead, touching on just about everything in the world of AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>2018 in Review</p><ul><li>Focus on more challenging ML problems</li><li>Semi-supervised learning</li><li>Domain adaptation</li><li>Generative models</li><li>Reinforcement learning</li><li>NLP</li><li>ELMO</li><li>BERT</li><li>Fear about AI</li><li>GDPR, trust and privacy</li><li>Cambridge analytica</li><li>Facial recognition</li><li>Tons of open sourced tooling, models</li></ul><p>Predictions for 2019</p><ul><li>Focus on trust and transparency</li><li>Bias</li><li>Regulation</li><li>GDPR and transparency, interpretability</li><li>What will other countries do regarding regulation?</li><li>AI for good</li><li>Better voice and conversational results</li><li>AI assistants</li><li>Voice interfaces</li><li>NLP advances</li><li>More focus on product development, less on research</li><li>Deep learning will explode in production product / service development</li><li>Computer vision, NLP, speech recognition will be table stakes</li><li>Increased accessibility of DL to software engineers / developers</li><li>More testing/tooling</li><li>Better training for data scientists</li><li>Better integrations and infrastructure</li><li>AutoML</li><li>Organizational / Cultural Shifts</li><li>New roles for data-based leadership - CDO, CAIO, etc.,</li><li>Strategy - AI becoming first-class concern</li><li>Competitive Analysis - AI and data assessments mandatory</li><li>Fragmentation into distinct subfields - AI, analytics, data science, prognostics</li><li>A changing relationship between humans and automation</li><li>AI + robotics - first steps</li><li>Pervasive AI + IoT - first steps</li><li>The importance of creative expertise for humans</li><li>How to school your child today to prep for tomorrow</li><li>Narrowly-scoped, highly-specific job functions at most risk</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 14 Jan 2019 07:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2544</itunes:duration>
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        <![CDATA[<p><strong><em>Fully Connected</em></strong><em> – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.</em></p><p>This week we look back at 2018 - from the GDPR and the Cambridge Analytica scandal, to advances in natural language processing and new open source tools. Then we offer our predications for what we expect in the year ahead, touching on just about everything in the world of AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>2018 in Review</p><ul><li>Focus on more challenging ML problems</li><li>Semi-supervised learning</li><li>Domain adaptation</li><li>Generative models</li><li>Reinforcement learning</li><li>NLP</li><li>ELMO</li><li>BERT</li><li>Fear about AI</li><li>GDPR, trust and privacy</li><li>Cambridge analytica</li><li>Facial recognition</li><li>Tons of open sourced tooling, models</li></ul><p>Predictions for 2019</p><ul><li>Focus on trust and transparency</li><li>Bias</li><li>Regulation</li><li>GDPR and transparency, interpretability</li><li>What will other countries do regarding regulation?</li><li>AI for good</li><li>Better voice and conversational results</li><li>AI assistants</li><li>Voice interfaces</li><li>NLP advances</li><li>More focus on product development, less on research</li><li>Deep learning will explode in production product / service development</li><li>Computer vision, NLP, speech recognition will be table stakes</li><li>Increased accessibility of DL to software engineers / developers</li><li>More testing/tooling</li><li>Better training for data scientists</li><li>Better integrations and infrastructure</li><li>AutoML</li><li>Organizational / Cultural Shifts</li><li>New roles for data-based leadership - CDO, CAIO, etc.,</li><li>Strategy - AI becoming first-class concern</li><li>Competitive Analysis - AI and data assessments mandatory</li><li>Fragmentation into distinct subfields - AI, analytics, data science, prognostics</li><li>A changing relationship between humans and automation</li><li>AI + robotics - first steps</li><li>Pervasive AI + IoT - first steps</li><li>The importance of creative expertise for humans</li><li>How to school your child today to prep for tomorrow</li><li>Narrowly-scoped, highly-specific job functions at most risk</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Finding success with AI in the enterprise</title>
      <itunes:episode>25</itunes:episode>
      <podcast:episode>25</podcast:episode>
      <itunes:title>Finding success with AI in the enterprise</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/636</guid>
      <link>https://share.transistor.fm/s/c4fc104b</link>
      <description>
        <![CDATA[<p>Susan Etlinger, an Industry Analyst at Altimeter, a Prophet company, joins us to discuss <em>The AI Maturity Playbook: Five Pillars of Enterprise Success</em>. This playbook covers trends affecting AI, and offers a maturity model that practitioners can use within their own organizations - addressing everything from strategy and product development, to culture and ethics.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Susan Etlinger – <a href="https://x.com/setlinger">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.microsoft.com/en-us/research/blog/machine-learning-for-fair-decisions">Machine Learning for fair decisions</a></li><li>Bias examples - programmer, black male</li><li><a href="https://arxiv.org/abs/1808.07261">Increasing Trust in AI Services through Supplier’s Declarations of Conformity</a></li><li><a href="https://www.ibm.com/blogs/research/2018/09/ai-fairness-360">Introducing AI Fairness 360</a></li><li><a href="https://marketing.prophet.com/acton/fs/blocks/showLandingPage/a/33865/p/p-011d/t/page/fm/0">The AI Maturity Playbook: Five Pillars of Enterprise Success</a></li><li><a href="https://ainowinstitute.org/aiareport2018.pdf">AI Now - Algorithmic Impact Assessments: A Practical Framework for Public Agency Accountability</a></li><li><a href="https://www.nytimes.com/2018/07/26/technology/amazon-aclu-facial-recognition-congress.html">Amazon’s Facial Recognition Wrongly Identifies 28 Lawmakers, A.C.L.U. Says</a></li><li><a href="https://eugdpr.org">General Data Protection Regulation</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Susan Etlinger, an Industry Analyst at Altimeter, a Prophet company, joins us to discuss <em>The AI Maturity Playbook: Five Pillars of Enterprise Success</em>. This playbook covers trends affecting AI, and offers a maturity model that practitioners can use within their own organizations - addressing everything from strategy and product development, to culture and ethics.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Susan Etlinger – <a href="https://x.com/setlinger">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.microsoft.com/en-us/research/blog/machine-learning-for-fair-decisions">Machine Learning for fair decisions</a></li><li>Bias examples - programmer, black male</li><li><a href="https://arxiv.org/abs/1808.07261">Increasing Trust in AI Services through Supplier’s Declarations of Conformity</a></li><li><a href="https://www.ibm.com/blogs/research/2018/09/ai-fairness-360">Introducing AI Fairness 360</a></li><li><a href="https://marketing.prophet.com/acton/fs/blocks/showLandingPage/a/33865/p/p-011d/t/page/fm/0">The AI Maturity Playbook: Five Pillars of Enterprise Success</a></li><li><a href="https://ainowinstitute.org/aiareport2018.pdf">AI Now - Algorithmic Impact Assessments: A Practical Framework for Public Agency Accountability</a></li><li><a href="https://www.nytimes.com/2018/07/26/technology/amazon-aclu-facial-recognition-congress.html">Amazon’s Facial Recognition Wrongly Identifies 28 Lawmakers, A.C.L.U. Says</a></li><li><a href="https://eugdpr.org">General Data Protection Regulation</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 17 Dec 2018 07:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>2442</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Susan Etlinger, an Industry Analyst at Altimeter, a Prophet company, joins us to discuss <em>The AI Maturity Playbook: Five Pillars of Enterprise Success</em>. This playbook covers trends affecting AI, and offers a maturity model that practitioners can use within their own organizations - addressing everything from strategy and product development, to culture and ethics.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Susan Etlinger – <a href="https://x.com/setlinger">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.microsoft.com/en-us/research/blog/machine-learning-for-fair-decisions">Machine Learning for fair decisions</a></li><li>Bias examples - programmer, black male</li><li><a href="https://arxiv.org/abs/1808.07261">Increasing Trust in AI Services through Supplier’s Declarations of Conformity</a></li><li><a href="https://www.ibm.com/blogs/research/2018/09/ai-fairness-360">Introducing AI Fairness 360</a></li><li><a href="https://marketing.prophet.com/acton/fs/blocks/showLandingPage/a/33865/p/p-011d/t/page/fm/0">The AI Maturity Playbook: Five Pillars of Enterprise Success</a></li><li><a href="https://ainowinstitute.org/aiareport2018.pdf">AI Now - Algorithmic Impact Assessments: A Practical Framework for Public Agency Accountability</a></li><li><a href="https://www.nytimes.com/2018/07/26/technology/amazon-aclu-facial-recognition-congress.html">Amazon’s Facial Recognition Wrongly Identifies 28 Lawmakers, A.C.L.U. Says</a></li><li><a href="https://eugdpr.org">General Data Protection Regulation</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/setlinger" img="https://img.transistorcdn.com/LGeQea6q-NJlLyvspzoNR5UJyjmf7GnHHtQBgq0NQr0/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zOWUy/YjRhMjdkYTUyZjhh/NDIyZDg0Mjc2M2Fm/NGVkNy5qcGc.jpg">Susan Etlinger</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>So you have an AI model, now what?</title>
      <itunes:episode>24</itunes:episode>
      <podcast:episode>24</podcast:episode>
      <itunes:title>So you have an AI model, now what?</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/634</guid>
      <link>https://share.transistor.fm/s/f54e5670</link>
      <description>
        <![CDATA[<p><strong><em>Fully Connected</em></strong><em> – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.</em></p><p>This week we discuss all things inference, which involves utilizing an already trained AI model and integrating it into the software stack. First, we focus on some new hardware from Amazon for inference and NVIDIA’s open sourcing of TensorRT for GPU-optimized inference. Then we talk about performing inference at the edge and in the browser with things like the recently announced ONNX JS.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>News:</p><ul><li><a href="https://news.developer.nvidia.com/nvidia-tensorrt-inference-server-now-open-source/">NVIDIA’s open sourcing of TensorRT</a></li><li>Amazon launches <a href="https://www.cnbc.com/2018/11/28/reuters-america-amazon-launches-machine-learning-chip-taking-on-nvidia-intel.html">a machine learning chip</a></li><li>The recently announced <a href="https://github.com/Microsoft/onnxjs">ONNX JS project</a></li><li><a href="https://developer.qualcomm.com/docs/snpe/overview.html">Snapdragon Neural Processing Engine SDK</a></li></ul><p>Learning resources:</p><ul><li><a href="https://medium.com/@vikati/the-rise-of-the-model-servers-9395522b6c58">Rise of the model servers</a></li><li><a href="https://devblogs.nvidia.com/nvidia-serves-deep-learning-inference/">TensorRT server tutorial</a></li><li><a href="https://github.com/Microsoft/onnxjs">ONNX JS</a> on GitHub</li><li><a href="https://js.tensorflow.org/tutorials/">TensorFlow JS tutorials</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong><em>Fully Connected</em></strong><em> – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.</em></p><p>This week we discuss all things inference, which involves utilizing an already trained AI model and integrating it into the software stack. First, we focus on some new hardware from Amazon for inference and NVIDIA’s open sourcing of TensorRT for GPU-optimized inference. Then we talk about performing inference at the edge and in the browser with things like the recently announced ONNX JS.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>News:</p><ul><li><a href="https://news.developer.nvidia.com/nvidia-tensorrt-inference-server-now-open-source/">NVIDIA’s open sourcing of TensorRT</a></li><li>Amazon launches <a href="https://www.cnbc.com/2018/11/28/reuters-america-amazon-launches-machine-learning-chip-taking-on-nvidia-intel.html">a machine learning chip</a></li><li>The recently announced <a href="https://github.com/Microsoft/onnxjs">ONNX JS project</a></li><li><a href="https://developer.qualcomm.com/docs/snpe/overview.html">Snapdragon Neural Processing Engine SDK</a></li></ul><p>Learning resources:</p><ul><li><a href="https://medium.com/@vikati/the-rise-of-the-model-servers-9395522b6c58">Rise of the model servers</a></li><li><a href="https://devblogs.nvidia.com/nvidia-serves-deep-learning-inference/">TensorRT server tutorial</a></li><li><a href="https://github.com/Microsoft/onnxjs">ONNX JS</a> on GitHub</li><li><a href="https://js.tensorflow.org/tutorials/">TensorFlow JS tutorials</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 10 Dec 2018 07:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/f54e5670/18a1bb99.mp3" length="57477149" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2394</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong><em>Fully Connected</em></strong><em> – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.</em></p><p>This week we discuss all things inference, which involves utilizing an already trained AI model and integrating it into the software stack. First, we focus on some new hardware from Amazon for inference and NVIDIA’s open sourcing of TensorRT for GPU-optimized inference. Then we talk about performing inference at the edge and in the browser with things like the recently announced ONNX JS.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>News:</p><ul><li><a href="https://news.developer.nvidia.com/nvidia-tensorrt-inference-server-now-open-source/">NVIDIA’s open sourcing of TensorRT</a></li><li>Amazon launches <a href="https://www.cnbc.com/2018/11/28/reuters-america-amazon-launches-machine-learning-chip-taking-on-nvidia-intel.html">a machine learning chip</a></li><li>The recently announced <a href="https://github.com/Microsoft/onnxjs">ONNX JS project</a></li><li><a href="https://developer.qualcomm.com/docs/snpe/overview.html">Snapdragon Neural Processing Engine SDK</a></li></ul><p>Learning resources:</p><ul><li><a href="https://medium.com/@vikati/the-rise-of-the-model-servers-9395522b6c58">Rise of the model servers</a></li><li><a href="https://devblogs.nvidia.com/nvidia-serves-deep-learning-inference/">TensorRT server tutorial</a></li><li><a href="https://github.com/Microsoft/onnxjs">ONNX JS</a> on GitHub</li><li><a href="https://js.tensorflow.org/tutorials/">TensorFlow JS tutorials</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Pachyderm's Kubernetes-based infrastructure for AI</title>
      <itunes:episode>23</itunes:episode>
      <podcast:episode>23</podcast:episode>
      <itunes:title>Pachyderm's Kubernetes-based infrastructure for AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/637</guid>
      <link>https://share.transistor.fm/s/cfbb1e52</link>
      <description>
        <![CDATA[<p>Joe Doliner (JD) joined the show to talk about productionizing ML/AI with Pachyderm, an open source data science platform built on Kubernetes (k8s). We talked through the origins of Pachyderm, challenges associated with creating infrastructure for machine learning, and data and model versioning/provenance. He also walked us through a process for going from a Jupyter notebook to a production data pipeline.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Joe Doliner – <a href="http://joedoliner.com/">Website</a>, <a href="https://github.com/jdoliner">GitHub</a>, <a href="https://x.com/jdoliner">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="http://pachyderm.io/">Pachyderm</a></li><li><a href="https://github.com/pachyderm/pachyderm">Pachyderm on GitHub</a></li><li><a href="https://pachyderm.readthedocs.io/en/latest/examples/README.html">Pachyderm tutorials</a></li><li><a href="http://xviewdataset.org/">DoD challenge built using Pachyderm</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Joe Doliner (JD) joined the show to talk about productionizing ML/AI with Pachyderm, an open source data science platform built on Kubernetes (k8s). We talked through the origins of Pachyderm, challenges associated with creating infrastructure for machine learning, and data and model versioning/provenance. He also walked us through a process for going from a Jupyter notebook to a production data pipeline.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Joe Doliner – <a href="http://joedoliner.com/">Website</a>, <a href="https://github.com/jdoliner">GitHub</a>, <a href="https://x.com/jdoliner">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="http://pachyderm.io/">Pachyderm</a></li><li><a href="https://github.com/pachyderm/pachyderm">Pachyderm on GitHub</a></li><li><a href="https://pachyderm.readthedocs.io/en/latest/examples/README.html">Pachyderm tutorials</a></li><li><a href="http://xviewdataset.org/">DoD challenge built using Pachyderm</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 03 Dec 2018 10:59:15 -0500</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2500</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Joe Doliner (JD) joined the show to talk about productionizing ML/AI with Pachyderm, an open source data science platform built on Kubernetes (k8s). We talked through the origins of Pachyderm, challenges associated with creating infrastructure for machine learning, and data and model versioning/provenance. He also walked us through a process for going from a Jupyter notebook to a production data pipeline.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Joe Doliner – <a href="http://joedoliner.com/">Website</a>, <a href="https://github.com/jdoliner">GitHub</a>, <a href="https://x.com/jdoliner">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="http://pachyderm.io/">Pachyderm</a></li><li><a href="https://github.com/pachyderm/pachyderm">Pachyderm on GitHub</a></li><li><a href="https://pachyderm.readthedocs.io/en/latest/examples/README.html">Pachyderm tutorials</a></li><li><a href="http://xviewdataset.org/">DoD challenge built using Pachyderm</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/jdoliner" img="https://img.transistorcdn.com/WqplwflQKN4iWgesezhH4JaOhMiw3S0h1Y7vqdub7dM/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kYWRm/YjJmZDM2NWRmODA4/OGQyM2MyZjI1MTk3/OTQxNy5qcGc.jpg">Joe Doliner</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>BERT: one NLP model to rule them all</title>
      <itunes:episode>22</itunes:episode>
      <podcast:episode>22</podcast:episode>
      <itunes:title>BERT: one NLP model to rule them all</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/632</guid>
      <link>https://share.transistor.fm/s/6bc0689d</link>
      <description>
        <![CDATA[<p><strong><em>Fully Connected</em></strong><em> – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.</em></p><p>This week we discuss BERT, a new method of pre-training language representations from Google for natural language processing (NLP) tasks. Then we tackle Facebook’s Horizon, the first open source reinforcement learning platform for large-scale products and services. We also address synthetic data, and suggest a few learning resources.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>News/Discussion:</p><ul><li><a href="https://www.christies.com/features/A-collaboration-between-two-artists-one-human-one-a-machine-9332-1.aspx">Is artificial intelligence set to become art’s next medium?</a></li><li>BERT (a new method for obtaining rich contextual language representations during pre-training): <ul><li><a href="https://ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html">Google research article</a></li><li><a href="https://github.com/google-research/bert">TensorFlow BERT</a></li><li><a href="https://arxiv.org/abs/1810.04805">BERT paper</a></li><li><a href="https://github.com/huggingface/pytorch-pretrained-BERT">PyTorch BERT</a></li><li><a href="https://www.nytimes.com/2018/11/18/technology/artificial-intelligence-language.html">NY Times article</a></li><li><a href="https://colab.research.google.com/github/tensorflow/tpu/blob/master/tools/colab/bert_finetuning_with_cloud_tpus.ipynb">Example Colab notebook</a></li><li><a href="https://towardsdatascience.com/bert-explained-state-of-the-art-language-model-for-nlp-f8b21a9b6270">BERT explained article</a></li><li><a href="https://arxiv.org/pdf/1706.03762.pdf">Transformer paper</a></li><li><a href="https://towardsdatascience.com/google-open-sources-bert-to-train-natural-language-models-without-breaking-the-bank-813ef38018fc">Google Open Sources BERT to Train Natural Language Models Without Breaking the Bank</a></li></ul></li><li><a href="https://code.fb.com/ml-applications/horizon">Horizon: The first open source reinforcement learning platform for large-scale products and services</a></li><li><a href="https://www.7wdata.be/business-leadership/does-synthetic-data-hold-the-secret-to-artificial-intelligence">Does Synthetic Data Hold The Secret To Artificial Intelligence?</a></li><li><a href="https://blogs.thomsonreuters.com/answerson/moving-forward-with-ai-likely-a-series-of-small-steps-not-giant-leaps">AI Experts: Moving forward with AI likely a series of small steps, not giant leaps</a></li></ul><p>Learning resources:</p><ul><li><a href="https://medium.com/@nathaliejeans7/the-backpropagation-algorithm-demystified-41b705229727">The Backpropagation Algorithm Demystified</a></li></ul><p>Books</p><ul><li><a href="https://github.com/iamtrask/Grokking-Deep-Learning">“Grokking Deep Learning” by Andrew Trask</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p><strong><em>Fully Connected</em></strong><em> – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.</em></p><p>This week we discuss BERT, a new method of pre-training language representations from Google for natural language processing (NLP) tasks. Then we tackle Facebook’s Horizon, the first open source reinforcement learning platform for large-scale products and services. We also address synthetic data, and suggest a few learning resources.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>News/Discussion:</p><ul><li><a href="https://www.christies.com/features/A-collaboration-between-two-artists-one-human-one-a-machine-9332-1.aspx">Is artificial intelligence set to become art’s next medium?</a></li><li>BERT (a new method for obtaining rich contextual language representations during pre-training): <ul><li><a href="https://ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html">Google research article</a></li><li><a href="https://github.com/google-research/bert">TensorFlow BERT</a></li><li><a href="https://arxiv.org/abs/1810.04805">BERT paper</a></li><li><a href="https://github.com/huggingface/pytorch-pretrained-BERT">PyTorch BERT</a></li><li><a href="https://www.nytimes.com/2018/11/18/technology/artificial-intelligence-language.html">NY Times article</a></li><li><a href="https://colab.research.google.com/github/tensorflow/tpu/blob/master/tools/colab/bert_finetuning_with_cloud_tpus.ipynb">Example Colab notebook</a></li><li><a href="https://towardsdatascience.com/bert-explained-state-of-the-art-language-model-for-nlp-f8b21a9b6270">BERT explained article</a></li><li><a href="https://arxiv.org/pdf/1706.03762.pdf">Transformer paper</a></li><li><a href="https://towardsdatascience.com/google-open-sources-bert-to-train-natural-language-models-without-breaking-the-bank-813ef38018fc">Google Open Sources BERT to Train Natural Language Models Without Breaking the Bank</a></li></ul></li><li><a href="https://code.fb.com/ml-applications/horizon">Horizon: The first open source reinforcement learning platform for large-scale products and services</a></li><li><a href="https://www.7wdata.be/business-leadership/does-synthetic-data-hold-the-secret-to-artificial-intelligence">Does Synthetic Data Hold The Secret To Artificial Intelligence?</a></li><li><a href="https://blogs.thomsonreuters.com/answerson/moving-forward-with-ai-likely-a-series-of-small-steps-not-giant-leaps">AI Experts: Moving forward with AI likely a series of small steps, not giant leaps</a></li></ul><p>Learning resources:</p><ul><li><a href="https://medium.com/@nathaliejeans7/the-backpropagation-algorithm-demystified-41b705229727">The Backpropagation Algorithm Demystified</a></li></ul><p>Books</p><ul><li><a href="https://github.com/iamtrask/Grokking-Deep-Learning">“Grokking Deep Learning” by Andrew Trask</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 27 Nov 2018 11:11:57 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/6bc0689d/ffdb90a9.mp3" length="56031719" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2334</itunes:duration>
      <itunes:summary>
        <![CDATA[<p><strong><em>Fully Connected</em></strong><em> – a series where Chris and Daniel keep you up to date with everything that’s happening in the AI community.</em></p><p>This week we discuss BERT, a new method of pre-training language representations from Google for natural language processing (NLP) tasks. Then we tackle Facebook’s Horizon, the first open source reinforcement learning platform for large-scale products and services. We also address synthetic data, and suggest a few learning resources.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Algolia</a> – <strong>Our search partner.</strong> Algolia’s full suite search APIs enable teams to develop unique search and discovery experiences across all platforms and devices. We’re using Algolia to power our site search here at Changelog.com. Get started for free and learn more at <a href="https://www.algolia.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">algolia.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>News/Discussion:</p><ul><li><a href="https://www.christies.com/features/A-collaboration-between-two-artists-one-human-one-a-machine-9332-1.aspx">Is artificial intelligence set to become art’s next medium?</a></li><li>BERT (a new method for obtaining rich contextual language representations during pre-training): <ul><li><a href="https://ai.googleblog.com/2018/11/open-sourcing-bert-state-of-art-pre.html">Google research article</a></li><li><a href="https://github.com/google-research/bert">TensorFlow BERT</a></li><li><a href="https://arxiv.org/abs/1810.04805">BERT paper</a></li><li><a href="https://github.com/huggingface/pytorch-pretrained-BERT">PyTorch BERT</a></li><li><a href="https://www.nytimes.com/2018/11/18/technology/artificial-intelligence-language.html">NY Times article</a></li><li><a href="https://colab.research.google.com/github/tensorflow/tpu/blob/master/tools/colab/bert_finetuning_with_cloud_tpus.ipynb">Example Colab notebook</a></li><li><a href="https://towardsdatascience.com/bert-explained-state-of-the-art-language-model-for-nlp-f8b21a9b6270">BERT explained article</a></li><li><a href="https://arxiv.org/pdf/1706.03762.pdf">Transformer paper</a></li><li><a href="https://towardsdatascience.com/google-open-sources-bert-to-train-natural-language-models-without-breaking-the-bank-813ef38018fc">Google Open Sources BERT to Train Natural Language Models Without Breaking the Bank</a></li></ul></li><li><a href="https://code.fb.com/ml-applications/horizon">Horizon: The first open source reinforcement learning platform for large-scale products and services</a></li><li><a href="https://www.7wdata.be/business-leadership/does-synthetic-data-hold-the-secret-to-artificial-intelligence">Does Synthetic Data Hold The Secret To Artificial Intelligence?</a></li><li><a href="https://blogs.thomsonreuters.com/answerson/moving-forward-with-ai-likely-a-series-of-small-steps-not-giant-leaps">AI Experts: Moving forward with AI likely a series of small steps, not giant leaps</a></li></ul><p>Learning resources:</p><ul><li><a href="https://medium.com/@nathaliejeans7/the-backpropagation-algorithm-demystified-41b705229727">The Backpropagation Algorithm Demystified</a></li></ul><p>Books</p><ul><li><a href="https://github.com/iamtrask/Grokking-Deep-Learning">“Grokking Deep Learning” by Andrew Trask</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>UBER and Intel’s Machine Learning platforms</title>
      <itunes:episode>21</itunes:episode>
      <podcast:episode>21</podcast:episode>
      <itunes:title>UBER and Intel’s Machine Learning platforms</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/27edd2af</link>
      <description>
        <![CDATA[<p>We recently met up with Cormac Brick (Intel) and Mike Del Balso (Uber) at O’Reilly AI in SF. As the director of machine intelligence in Intel’s Movidius group, Cormac is an expert in porting deep learning models to all sorts of embedded devices (cameras, robots, drones, etc.). He helped us understand some of the techniques for developing portable networks to maximize performance on different compute architectures.</p><p>In our discussion with Mike, we talked about the ins and outs of Michelangelo, Uber’s machine learning platform, which he manages. He also described why it was necessary for Uber to build out a machine learning platform and some of the new features they are exploring.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Cormac Brick – <a href="https://www.linkedin.com/in/cbrick/">Website</a>, <a href="https://x.com/cormacb">X</a></li><li>Mike Del Balso – <a href="https://www.linkedin.com/in/michaeldelbalso/">Website</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.movidius.com/">Intel’s Movidius Group</a></li><li><a href="https://software.intel.com/en-us/openvino-toolkit">OpenVINO Toolkit</a></li><li><a href="https://github.com/NervanaSystems/ngraph">ngraph</a></li><li><a href="https://eng.uber.com/michelangelo/">Uber’s Michelangelo</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We recently met up with Cormac Brick (Intel) and Mike Del Balso (Uber) at O’Reilly AI in SF. As the director of machine intelligence in Intel’s Movidius group, Cormac is an expert in porting deep learning models to all sorts of embedded devices (cameras, robots, drones, etc.). He helped us understand some of the techniques for developing portable networks to maximize performance on different compute architectures.</p><p>In our discussion with Mike, we talked about the ins and outs of Michelangelo, Uber’s machine learning platform, which he manages. He also described why it was necessary for Uber to build out a machine learning platform and some of the new features they are exploring.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Cormac Brick – <a href="https://www.linkedin.com/in/cbrick/">Website</a>, <a href="https://x.com/cormacb">X</a></li><li>Mike Del Balso – <a href="https://www.linkedin.com/in/michaeldelbalso/">Website</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.movidius.com/">Intel’s Movidius Group</a></li><li><a href="https://software.intel.com/en-us/openvino-toolkit">OpenVINO Toolkit</a></li><li><a href="https://github.com/NervanaSystems/ngraph">ngraph</a></li><li><a href="https://eng.uber.com/michelangelo/">Uber’s Michelangelo</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 19 Nov 2018 07:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/27edd2af/aa5fb407.mp3" length="41552979" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>1730</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We recently met up with Cormac Brick (Intel) and Mike Del Balso (Uber) at O’Reilly AI in SF. As the director of machine intelligence in Intel’s Movidius group, Cormac is an expert in porting deep learning models to all sorts of embedded devices (cameras, robots, drones, etc.). He helped us understand some of the techniques for developing portable networks to maximize performance on different compute architectures.</p><p>In our discussion with Mike, we talked about the ins and outs of Michelangelo, Uber’s machine learning platform, which he manages. He also described why it was necessary for Uber to build out a machine learning platform and some of the new features they are exploring.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Cormac Brick – <a href="https://www.linkedin.com/in/cbrick/">Website</a>, <a href="https://x.com/cormacb">X</a></li><li>Mike Del Balso – <a href="https://www.linkedin.com/in/michaeldelbalso/">Website</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.movidius.com/">Intel’s Movidius Group</a></li><li><a href="https://software.intel.com/en-us/openvino-toolkit">OpenVINO Toolkit</a></li><li><a href="https://github.com/NervanaSystems/ngraph">ngraph</a></li><li><a href="https://eng.uber.com/michelangelo/">Uber’s Michelangelo</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/cormacbrick" img="https://img.transistorcdn.com/tZROSs2u2s5mStRuHmd4S3KkPSFL_A-SYh3Ouhpm6rM/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yZDVh/YTVlZWI2YWI2ZWE2/NzNjMzU0Njk0YTE4/MjM3Yi5qcGVn.jpg">Cormac Brick</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/mikedelbalso" img="https://img.transistorcdn.com/AFb6O9YiImVJscEdSs5uPpxN5Gdf8lyxpeCl9QYmwNw/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTAy/OTFhNGI2MmNhNWUz/OWJiYTNkZWQyYmQ3/N2U5OC5qcGVn.jpg">Mike Del Balso</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Analyzing AI's impact on society through art and film</title>
      <itunes:episode>20</itunes:episode>
      <podcast:episode>20</podcast:episode>
      <itunes:title>Analyzing AI's impact on society through art and film</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/622</guid>
      <link>https://share.transistor.fm/s/6529119a</link>
      <description>
        <![CDATA[<p>Brett Gaylor joins Chris and Daniel to chat about the recently announced winners of Mozilla’s creative media awards, which focuses on exposing the impact of AI on society. These winners include a film that responds to the audience (via AI recognized emotions) and an interesting chatbot called Wanda.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Brett Gaylor – <a href="https://www.brettgaylor.com/">Website</a>, <a href="https://x.com/remixmanifesto">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://blog.mozilla.org/blog/2018/10/24/keeping-ai-accountable-with-science-fiction-documentaries-and-doodles-plus-225000/">Winners of the Creative Media Awards</a></li><li><a href="https://donottrack-doc.com/">Do not track movie</a></li><li><a href="https://www.gsb.stanford.edu/insights/science-behind-cambridge-analytica-does-psychological-profiling-work">The Science behind Cambridge Analytica</a></li><li><a href="https://www.mozilla.org/en-US/about/manifesto/">Mozilla manifesto</a></li><li><a href="https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing">Machine bias article from ProPublica</a></li><li><a href="https://changelog.com/practicalai/17">Practical AI episode from Lindsey Zuloaga about bias</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Brett Gaylor joins Chris and Daniel to chat about the recently announced winners of Mozilla’s creative media awards, which focuses on exposing the impact of AI on society. These winners include a film that responds to the audience (via AI recognized emotions) and an interesting chatbot called Wanda.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Brett Gaylor – <a href="https://www.brettgaylor.com/">Website</a>, <a href="https://x.com/remixmanifesto">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://blog.mozilla.org/blog/2018/10/24/keeping-ai-accountable-with-science-fiction-documentaries-and-doodles-plus-225000/">Winners of the Creative Media Awards</a></li><li><a href="https://donottrack-doc.com/">Do not track movie</a></li><li><a href="https://www.gsb.stanford.edu/insights/science-behind-cambridge-analytica-does-psychological-profiling-work">The Science behind Cambridge Analytica</a></li><li><a href="https://www.mozilla.org/en-US/about/manifesto/">Mozilla manifesto</a></li><li><a href="https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing">Machine bias article from ProPublica</a></li><li><a href="https://changelog.com/practicalai/17">Practical AI episode from Lindsey Zuloaga about bias</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 12 Nov 2018 07:00:00 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/6529119a/053bb01b.mp3" length="63479901" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2645</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Brett Gaylor joins Chris and Daniel to chat about the recently announced winners of Mozilla’s creative media awards, which focuses on exposing the impact of AI on society. These winners include a film that responds to the audience (via AI recognized emotions) and an interesting chatbot called Wanda.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Brett Gaylor – <a href="https://www.brettgaylor.com/">Website</a>, <a href="https://x.com/remixmanifesto">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://blog.mozilla.org/blog/2018/10/24/keeping-ai-accountable-with-science-fiction-documentaries-and-doodles-plus-225000/">Winners of the Creative Media Awards</a></li><li><a href="https://donottrack-doc.com/">Do not track movie</a></li><li><a href="https://www.gsb.stanford.edu/insights/science-behind-cambridge-analytica-does-psychological-profiling-work">The Science behind Cambridge Analytica</a></li><li><a href="https://www.mozilla.org/en-US/about/manifesto/">Mozilla manifesto</a></li><li><a href="https://www.propublica.org/article/machine-bias-risk-assessments-in-criminal-sentencing">Machine bias article from ProPublica</a></li><li><a href="https://changelog.com/practicalai/17">Practical AI episode from Lindsey Zuloaga about bias</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/brettgaylor" img="https://img.transistorcdn.com/rhtUo2WWe1d5VQDGtbEW63RvjSf4ZWpCdmwAyqEOTWc/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8wOTQ2/Y2MwNGM5MDA0OWNm/YjA1MmQ0ZTU1MWVk/YjkwNS5qcGc.jpg">Brett Gaylor</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Getting into data science and AI</title>
      <itunes:episode>19</itunes:episode>
      <podcast:episode>19</podcast:episode>
      <itunes:title>Getting into data science and AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/621</guid>
      <link>https://share.transistor.fm/s/f1d4db4c</link>
      <description>
        <![CDATA[<p>Himani Agrawal joins Daniel and Chris to talk about how she got into data science and artificial intelligence, and offers advice to others getting into these fields. She goes on to describe the role of artificial intelligence and machine learning within AT&amp;T and telecom in general.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Himani Agrawal – <a href="http://hagrawal.me.uh.edu/">Website</a>, <a href="https://github.com/HimaniAgrawal">GitHub</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://mlconf.com/events/mlconf-sf-2018">MLConf SF</a></li><li><a href="https://ghc.anitab.org">Grace Hopper Celebration</a></li><li><a href="https://www.galvanize.com">Galvanize</a></li><li><a href="https://www.fast.ai">Fast.ai</a></li><li><a href="https://www.thinkful.com">Thinkful bootcamp</a></li><li><a href="https://themagentaproject.org">Magenta project</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Himani Agrawal joins Daniel and Chris to talk about how she got into data science and artificial intelligence, and offers advice to others getting into these fields. She goes on to describe the role of artificial intelligence and machine learning within AT&amp;T and telecom in general.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Himani Agrawal – <a href="http://hagrawal.me.uh.edu/">Website</a>, <a href="https://github.com/HimaniAgrawal">GitHub</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://mlconf.com/events/mlconf-sf-2018">MLConf SF</a></li><li><a href="https://ghc.anitab.org">Grace Hopper Celebration</a></li><li><a href="https://www.galvanize.com">Galvanize</a></li><li><a href="https://www.fast.ai">Fast.ai</a></li><li><a href="https://www.thinkful.com">Thinkful bootcamp</a></li><li><a href="https://themagentaproject.org">Magenta project</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 05 Nov 2018 12:33:53 -0500</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/f1d4db4c/a709c577.mp3" length="43534247" type="audio/mpeg"/>
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      <itunes:duration>1812</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Himani Agrawal joins Daniel and Chris to talk about how she got into data science and artificial intelligence, and offers advice to others getting into these fields. She goes on to describe the role of artificial intelligence and machine learning within AT&amp;T and telecom in general.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Himani Agrawal – <a href="http://hagrawal.me.uh.edu/">Website</a>, <a href="https://github.com/HimaniAgrawal">GitHub</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://mlconf.com/events/mlconf-sf-2018">MLConf SF</a></li><li><a href="https://ghc.anitab.org">Grace Hopper Celebration</a></li><li><a href="https://www.galvanize.com">Galvanize</a></li><li><a href="https://www.fast.ai">Fast.ai</a></li><li><a href="https://www.thinkful.com">Thinkful bootcamp</a></li><li><a href="https://themagentaproject.org">Magenta project</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/himaniagrawal" img="https://img.transistorcdn.com/P8Z0yO9IIzrtRMqH4G3Cg7dT9yKDQnVq3beaMYasrys/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kZGZh/YjM4ZDY3NjZiZjJj/YmVlY2E3MzQxNDZm/NzVlNC5qcGVn.jpg">Himani Agrawal</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>AIs that look human and create portraits of humans</title>
      <itunes:episode>18</itunes:episode>
      <podcast:episode>18</podcast:episode>
      <itunes:title>AIs that look human and create portraits of humans</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/620</guid>
      <link>https://share.transistor.fm/s/03647f6d</link>
      <description>
        <![CDATA[<p>In this new and updates show, Daniel and Chris discuss, among other things, efforts to use AI in art and efforts to make AI interfaces look human. They also discuss some learning resources related to neural nets, AI fairness, and reinforcement learning.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>News from Daniel:</p><ul><li><a href="https://www.npr.org/2018/10/22/659680894/a-i-produced-portrait-will-go-up-for-auction-at-christie-s">AI portrait up for auction</a></li><li>Graph ML related things: <ul><li><a href="https://github.com/deepmind/graph_nets">Deepmind Graphnet library</a></li><li><a href="https://www.linkedin.com/pulse/knowledge-graphs-machine-learning-iswc-2018-trip-report-helena-deus/?published=t">Knowledge Graphs and ML</a></li><li><a href="https://allenai.org/semantic-scholar/">Semantic Scholar</a></li></ul></li><li><a href="https://csvconf.com/">CSV conf</a></li></ul><p>News from Chris:</p><ul><li><a href="https://www.cnn.com/2018/10/12/tech/magic-leap-ai-assistant/index.html">Magic Leap’s new AI assistant looks alarmingly human</a></li><li><a href="http://news.mit.edu/2018/mit-reshapes-itself-stephen-schwarzman-college-of-computing-1015">MIT Stephen A. Schwarzman College of Computing</a></li><li><a href="https://physicsworld.com/a/deep-learning-algorithm-identifies-dense-tissue-in-mammograms">Deep-learning algorithm identifies dense tissue in mammograms</a></li></ul><p>Learning resources:</p><ul><li><a href="https://playground.tensorflow.org/#activation=tanh&amp;batchSize=10&amp;dataset=circle&amp;regDataset=reg-plane&amp;learningRate=0.03&amp;regularizationRate=0&amp;noise=0&amp;networkShape=4,2&amp;seed=0.45791&amp;showTestData=false&amp;discretize=false&amp;percTrainData=50&amp;x=true&amp;y=true&amp;xTimesY=false&amp;xSquared=false&amp;ySquared=false&amp;cosX=false&amp;sinX=false&amp;cosY=false&amp;sinY=false&amp;collectStats=false&amp;problem=classification&amp;initZero=false&amp;hideText=false">Neural network playground</a></li><li><a href="http://aif360.mybluemix.net/">IBM AI Fairness 360</a></li><li><a href="https://towardsdatascience.com/machine-learning">Towards Data Science</a></li><li><a href="https://www.forbes.com/sites/bernardmarr/2018/10/22/artificial-intelligence-whats-the-difference-between-deep-learning-and-reinforcement-learning/#4aeda2c4271e">Artificial Intelligence: What’s The Difference Between Deep Learning And Reinforcement Learning?</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this new and updates show, Daniel and Chris discuss, among other things, efforts to use AI in art and efforts to make AI interfaces look human. They also discuss some learning resources related to neural nets, AI fairness, and reinforcement learning.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>News from Daniel:</p><ul><li><a href="https://www.npr.org/2018/10/22/659680894/a-i-produced-portrait-will-go-up-for-auction-at-christie-s">AI portrait up for auction</a></li><li>Graph ML related things: <ul><li><a href="https://github.com/deepmind/graph_nets">Deepmind Graphnet library</a></li><li><a href="https://www.linkedin.com/pulse/knowledge-graphs-machine-learning-iswc-2018-trip-report-helena-deus/?published=t">Knowledge Graphs and ML</a></li><li><a href="https://allenai.org/semantic-scholar/">Semantic Scholar</a></li></ul></li><li><a href="https://csvconf.com/">CSV conf</a></li></ul><p>News from Chris:</p><ul><li><a href="https://www.cnn.com/2018/10/12/tech/magic-leap-ai-assistant/index.html">Magic Leap’s new AI assistant looks alarmingly human</a></li><li><a href="http://news.mit.edu/2018/mit-reshapes-itself-stephen-schwarzman-college-of-computing-1015">MIT Stephen A. Schwarzman College of Computing</a></li><li><a href="https://physicsworld.com/a/deep-learning-algorithm-identifies-dense-tissue-in-mammograms">Deep-learning algorithm identifies dense tissue in mammograms</a></li></ul><p>Learning resources:</p><ul><li><a href="https://playground.tensorflow.org/#activation=tanh&amp;batchSize=10&amp;dataset=circle&amp;regDataset=reg-plane&amp;learningRate=0.03&amp;regularizationRate=0&amp;noise=0&amp;networkShape=4,2&amp;seed=0.45791&amp;showTestData=false&amp;discretize=false&amp;percTrainData=50&amp;x=true&amp;y=true&amp;xTimesY=false&amp;xSquared=false&amp;ySquared=false&amp;cosX=false&amp;sinX=false&amp;cosY=false&amp;sinY=false&amp;collectStats=false&amp;problem=classification&amp;initZero=false&amp;hideText=false">Neural network playground</a></li><li><a href="http://aif360.mybluemix.net/">IBM AI Fairness 360</a></li><li><a href="https://towardsdatascience.com/machine-learning">Towards Data Science</a></li><li><a href="https://www.forbes.com/sites/bernardmarr/2018/10/22/artificial-intelligence-whats-the-difference-between-deep-learning-and-reinforcement-learning/#4aeda2c4271e">Artificial Intelligence: What’s The Difference Between Deep Learning And Reinforcement Learning?</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Wed, 31 Oct 2018 13:43:27 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2093</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this new and updates show, Daniel and Chris discuss, among other things, efforts to use AI in art and efforts to make AI interfaces look human. They also discuss some learning resources related to neural nets, AI fairness, and reinforcement learning.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>News from Daniel:</p><ul><li><a href="https://www.npr.org/2018/10/22/659680894/a-i-produced-portrait-will-go-up-for-auction-at-christie-s">AI portrait up for auction</a></li><li>Graph ML related things: <ul><li><a href="https://github.com/deepmind/graph_nets">Deepmind Graphnet library</a></li><li><a href="https://www.linkedin.com/pulse/knowledge-graphs-machine-learning-iswc-2018-trip-report-helena-deus/?published=t">Knowledge Graphs and ML</a></li><li><a href="https://allenai.org/semantic-scholar/">Semantic Scholar</a></li></ul></li><li><a href="https://csvconf.com/">CSV conf</a></li></ul><p>News from Chris:</p><ul><li><a href="https://www.cnn.com/2018/10/12/tech/magic-leap-ai-assistant/index.html">Magic Leap’s new AI assistant looks alarmingly human</a></li><li><a href="http://news.mit.edu/2018/mit-reshapes-itself-stephen-schwarzman-college-of-computing-1015">MIT Stephen A. Schwarzman College of Computing</a></li><li><a href="https://physicsworld.com/a/deep-learning-algorithm-identifies-dense-tissue-in-mammograms">Deep-learning algorithm identifies dense tissue in mammograms</a></li></ul><p>Learning resources:</p><ul><li><a href="https://playground.tensorflow.org/#activation=tanh&amp;batchSize=10&amp;dataset=circle&amp;regDataset=reg-plane&amp;learningRate=0.03&amp;regularizationRate=0&amp;noise=0&amp;networkShape=4,2&amp;seed=0.45791&amp;showTestData=false&amp;discretize=false&amp;percTrainData=50&amp;x=true&amp;y=true&amp;xTimesY=false&amp;xSquared=false&amp;ySquared=false&amp;cosX=false&amp;sinX=false&amp;cosY=false&amp;sinY=false&amp;collectStats=false&amp;problem=classification&amp;initZero=false&amp;hideText=false">Neural network playground</a></li><li><a href="http://aif360.mybluemix.net/">IBM AI Fairness 360</a></li><li><a href="https://towardsdatascience.com/machine-learning">Towards Data Science</a></li><li><a href="https://www.forbes.com/sites/bernardmarr/2018/10/22/artificial-intelligence-whats-the-difference-between-deep-learning-and-reinforcement-learning/#4aeda2c4271e">Artificial Intelligence: What’s The Difference Between Deep Learning And Reinforcement Learning?</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Fighting bias in AI (and in hiring)</title>
      <itunes:episode>17</itunes:episode>
      <podcast:episode>17</podcast:episode>
      <itunes:title>Fighting bias in AI (and in hiring)</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/614</guid>
      <link>https://share.transistor.fm/s/2150f5d5</link>
      <description>
        <![CDATA[<p>Lindsey Zuloaga joins us to discuss bias in hiring, bias in AI, and how we can fight bias in hiring with AI. Lindsey tells us about her experiences fighting bias at HireVue, where she is director of data science, and she gives some practical advice to AI practitioners about fairness in models and data.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Lindsey Zuloaga – <a href="https://www.linkedin.com/in/ljeanderson/">Website</a>, <a href="https://x.com/LindseyZuloaga">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm">Compas recidivism model</a></li><li><a href="https://www.hirevue.com/">HireVue</a></li><li><a href="https://www.ibm.com/blogs/research/2018/09/ai-fairness-360/">IBM fairness 360</a></li><li><a href="https://research.google.com/bigpicture/attacking-discrimination-in-ml/">Attacking discrimination with smarter machine learning</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Lindsey Zuloaga joins us to discuss bias in hiring, bias in AI, and how we can fight bias in hiring with AI. Lindsey tells us about her experiences fighting bias at HireVue, where she is director of data science, and she gives some practical advice to AI practitioners about fairness in models and data.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Lindsey Zuloaga – <a href="https://www.linkedin.com/in/ljeanderson/">Website</a>, <a href="https://x.com/LindseyZuloaga">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm">Compas recidivism model</a></li><li><a href="https://www.hirevue.com/">HireVue</a></li><li><a href="https://www.ibm.com/blogs/research/2018/09/ai-fairness-360/">IBM fairness 360</a></li><li><a href="https://research.google.com/bigpicture/attacking-discrimination-in-ml/">Attacking discrimination with smarter machine learning</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 22 Oct 2018 07:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/2150f5d5/e0a4edb7.mp3" length="59156083" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2464</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Lindsey Zuloaga joins us to discuss bias in hiring, bias in AI, and how we can fight bias in hiring with AI. Lindsey tells us about her experiences fighting bias at HireVue, where she is director of data science, and she gives some practical advice to AI practitioners about fairness in models and data.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Lindsey Zuloaga – <a href="https://www.linkedin.com/in/ljeanderson/">Website</a>, <a href="https://x.com/LindseyZuloaga">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.propublica.org/article/how-we-analyzed-the-compas-recidivism-algorithm">Compas recidivism model</a></li><li><a href="https://www.hirevue.com/">HireVue</a></li><li><a href="https://www.ibm.com/blogs/research/2018/09/ai-fairness-360/">IBM fairness 360</a></li><li><a href="https://research.google.com/bigpicture/attacking-discrimination-in-ml/">Attacking discrimination with smarter machine learning</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/lindseyzuloaga" img="https://img.transistorcdn.com/Sw0QhFOZJl2IObzzWhQjjt-c2rp1eAx4FG6fZP5BoNc/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS82ZTRj/ZDA3OTBlNmM5N2Iy/YmYwOGMzNTEzMzZj/OTBmYS5qcGc.jpg">Lindsey Zuloaga</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>PyTorch 1.0 vs TensorFlow 2.0</title>
      <itunes:episode>16</itunes:episode>
      <podcast:episode>16</podcast:episode>
      <itunes:title>PyTorch 1.0 vs TensorFlow 2.0</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/609</guid>
      <link>https://share.transistor.fm/s/b9e3dac8</link>
      <description>
        <![CDATA[<p>Chris and Daniel are back together in another news/updates show. They discuss PyTorch v1.0, some disturbing uses of AI for tracking social credit, and learning resources to get you started with machine learning.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><strong>News from Daniel:</strong></p><ul><li><a href="https://cloud.google.com/blog/products/ai-machine-learning/introducing-pytorch-across-google-cloud">Introducing PyTorch across Google cloud</a></li><li><a href="https://venturebeat.com/2018/10/02/facebook-launches-pytorch-1-0-integrations-for-google-cloud-aws-and-azure-machine-learning">VentureBeat article about PyTorch v1.0</a></li><li><a href="https://ai.google/education/responsible-ai-practices">Google’s general recommended practices for AI</a></li><li><a href="https://blog.fastforwardlabs.com/2018/09/17/deep-learning-is-easy-an-introduction-to-transfer-learning.html">Deep learning made easier with transfer learning</a></li><li><a href="http://explained.ai/decision-tree-viz/index.html">Decision tree visualization</a></li><li><a href="https://anatomyof.ai/">Anatomy of an AI system</a></li><li><a href="https://hacktoberfest.digitalocean.com/">It’s hacktoberfest!</a></li><li>Conference calls: <ul><li><a href="https://www.appliedmldays.org/calls.html">AMLD</a></li><li><a href="https://conferences.oreilly.com/artificial-intelligence/ai-ny/public/cfp/675">O’Reilly AI NY</a></li><li><a href="http://www.guide2research.com/conference/cvpr-2019-2">CPVR </a></li></ul></li></ul><p><strong>News from Chris:</strong></p><ul><li><a href="https://www.tensorflow.org/community/roadmap">TensorFlow RoadMap, TensorFlow 2</a></li><li><a href="http://amp.abc.net.au/article/10200278">Leave No Dark Corner</a></li><li><a href="https://www.forbes.com/sites/nvidia/2018/08/17/the-5-steps-to-build-a-businesss-deep-learning-workflow-1/#4fabbcc54a65">The 5 Steps To Build A Business’s Deep Learning Workflow</a></li><li><a href="https://money.cnn.com/2018/09/07/technology/darpa-artificial-intelligence">The Pentagon is investing $2 billion into artificial intelligence</a></li><li><a href="https://toolbox.google.com/datasetsearch">Google Dataset Search</a></li><li><a href="https://hackernoon.com/what-do-you-get-when-you-mix-sugar-water-3d-printing-and-deep-learning-39de7b3f5f0e">What do you get when you mix sugar water, 3D printing and deep learning?</a></li></ul><p><strong>Learning resources:</strong></p><ul><li><a href="https://www.udacity.com/course/machine-learning--ud262">Udacity Machine Learning Course by GA Tech</a></li><li><a href="https://github.com/afshinea/stanford-cs-229-machine-learning">Machine learning cheat sheets</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Chris and Daniel are back together in another news/updates show. They discuss PyTorch v1.0, some disturbing uses of AI for tracking social credit, and learning resources to get you started with machine learning.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><strong>News from Daniel:</strong></p><ul><li><a href="https://cloud.google.com/blog/products/ai-machine-learning/introducing-pytorch-across-google-cloud">Introducing PyTorch across Google cloud</a></li><li><a href="https://venturebeat.com/2018/10/02/facebook-launches-pytorch-1-0-integrations-for-google-cloud-aws-and-azure-machine-learning">VentureBeat article about PyTorch v1.0</a></li><li><a href="https://ai.google/education/responsible-ai-practices">Google’s general recommended practices for AI</a></li><li><a href="https://blog.fastforwardlabs.com/2018/09/17/deep-learning-is-easy-an-introduction-to-transfer-learning.html">Deep learning made easier with transfer learning</a></li><li><a href="http://explained.ai/decision-tree-viz/index.html">Decision tree visualization</a></li><li><a href="https://anatomyof.ai/">Anatomy of an AI system</a></li><li><a href="https://hacktoberfest.digitalocean.com/">It’s hacktoberfest!</a></li><li>Conference calls: <ul><li><a href="https://www.appliedmldays.org/calls.html">AMLD</a></li><li><a href="https://conferences.oreilly.com/artificial-intelligence/ai-ny/public/cfp/675">O’Reilly AI NY</a></li><li><a href="http://www.guide2research.com/conference/cvpr-2019-2">CPVR </a></li></ul></li></ul><p><strong>News from Chris:</strong></p><ul><li><a href="https://www.tensorflow.org/community/roadmap">TensorFlow RoadMap, TensorFlow 2</a></li><li><a href="http://amp.abc.net.au/article/10200278">Leave No Dark Corner</a></li><li><a href="https://www.forbes.com/sites/nvidia/2018/08/17/the-5-steps-to-build-a-businesss-deep-learning-workflow-1/#4fabbcc54a65">The 5 Steps To Build A Business’s Deep Learning Workflow</a></li><li><a href="https://money.cnn.com/2018/09/07/technology/darpa-artificial-intelligence">The Pentagon is investing $2 billion into artificial intelligence</a></li><li><a href="https://toolbox.google.com/datasetsearch">Google Dataset Search</a></li><li><a href="https://hackernoon.com/what-do-you-get-when-you-mix-sugar-water-3d-printing-and-deep-learning-39de7b3f5f0e">What do you get when you mix sugar water, 3D printing and deep learning?</a></li></ul><p><strong>Learning resources:</strong></p><ul><li><a href="https://www.udacity.com/course/machine-learning--ud262">Udacity Machine Learning Course by GA Tech</a></li><li><a href="https://github.com/afshinea/stanford-cs-229-machine-learning">Machine learning cheat sheets</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 15 Oct 2018 13:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/b9e3dac8/f2639655.mp3" length="63852949" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2660</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Chris and Daniel are back together in another news/updates show. They discuss PyTorch v1.0, some disturbing uses of AI for tracking social credit, and learning resources to get you started with machine learning.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p><strong>News from Daniel:</strong></p><ul><li><a href="https://cloud.google.com/blog/products/ai-machine-learning/introducing-pytorch-across-google-cloud">Introducing PyTorch across Google cloud</a></li><li><a href="https://venturebeat.com/2018/10/02/facebook-launches-pytorch-1-0-integrations-for-google-cloud-aws-and-azure-machine-learning">VentureBeat article about PyTorch v1.0</a></li><li><a href="https://ai.google/education/responsible-ai-practices">Google’s general recommended practices for AI</a></li><li><a href="https://blog.fastforwardlabs.com/2018/09/17/deep-learning-is-easy-an-introduction-to-transfer-learning.html">Deep learning made easier with transfer learning</a></li><li><a href="http://explained.ai/decision-tree-viz/index.html">Decision tree visualization</a></li><li><a href="https://anatomyof.ai/">Anatomy of an AI system</a></li><li><a href="https://hacktoberfest.digitalocean.com/">It’s hacktoberfest!</a></li><li>Conference calls: <ul><li><a href="https://www.appliedmldays.org/calls.html">AMLD</a></li><li><a href="https://conferences.oreilly.com/artificial-intelligence/ai-ny/public/cfp/675">O’Reilly AI NY</a></li><li><a href="http://www.guide2research.com/conference/cvpr-2019-2">CPVR </a></li></ul></li></ul><p><strong>News from Chris:</strong></p><ul><li><a href="https://www.tensorflow.org/community/roadmap">TensorFlow RoadMap, TensorFlow 2</a></li><li><a href="http://amp.abc.net.au/article/10200278">Leave No Dark Corner</a></li><li><a href="https://www.forbes.com/sites/nvidia/2018/08/17/the-5-steps-to-build-a-businesss-deep-learning-workflow-1/#4fabbcc54a65">The 5 Steps To Build A Business’s Deep Learning Workflow</a></li><li><a href="https://money.cnn.com/2018/09/07/technology/darpa-artificial-intelligence">The Pentagon is investing $2 billion into artificial intelligence</a></li><li><a href="https://toolbox.google.com/datasetsearch">Google Dataset Search</a></li><li><a href="https://hackernoon.com/what-do-you-get-when-you-mix-sugar-water-3d-printing-and-deep-learning-39de7b3f5f0e">What do you get when you mix sugar water, 3D printing and deep learning?</a></li></ul><p><strong>Learning resources:</strong></p><ul><li><a href="https://www.udacity.com/course/machine-learning--ud262">Udacity Machine Learning Course by GA Tech</a></li><li><a href="https://github.com/afshinea/stanford-cs-229-machine-learning">Machine learning cheat sheets</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Artificial intelligence at NVIDIA</title>
      <itunes:episode>15</itunes:episode>
      <podcast:episode>15</podcast:episode>
      <itunes:title>Artificial intelligence at NVIDIA</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/0559fa43</link>
      <description>
        <![CDATA[<p>NVIDIA Chief Scientist Bill Dally joins Daniel Whitenack and Chris Benson for an in-depth conversation about ‘everything AI’ at NVIDIA. As the leader of NVIDIA Research, Bill schools us on GPUs, and then goes on to address everything from AI-enabled robots and self-driving vehicles, to new AI research innovations in algorithm development and model architectures. This episode is so packed with information, you may want to listen to it multiple times.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Bill Dally – <a href="https://www.linkedin.com/in/billdally/">Website</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.nvidia.com/en-us/research">NVIDIA Research</a></li><li><a href="http://nvdla.org">NVIDIA Deep Learning Accelerator (NVDLA)</a></li><li><a href="https://developer.nvidia.com/cuda-zone">CUDA</a></li><li><a href="https://www.nvidia.com/en-us/self-driving-cars">AI-Powered Self-Driving Cars</a></li><li><a href="https://research.nvidia.com/publication/2017-10_Progressive-Growing-of">Progressive GANs</a></li><li><a href="https://research.nvidia.com/publication/2018-02_PWC-Net%3A-CNNs-for">Optical Flow and Deep Learning</a></li><li><a href="https://developer.nvidia.com/tensorrt">TensorRT</a></li><li><a href="https://developer.nvidia.com/rtx/ngx">Deep Learning Super Sampling</a></li><li><a href="https://www.nvidia.com/en-us/data-center/dgx-2">NVIDIA DGX2</a></li><li><a href="https://www.nvidia.com/en-us/data-center/nvlink">NVSwitch and NVLink</a></li><li><a href="https://www.nvidia.com/en-us/data-center/nvlink">NVIDIA Deep Learning Institute</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>NVIDIA Chief Scientist Bill Dally joins Daniel Whitenack and Chris Benson for an in-depth conversation about ‘everything AI’ at NVIDIA. As the leader of NVIDIA Research, Bill schools us on GPUs, and then goes on to address everything from AI-enabled robots and self-driving vehicles, to new AI research innovations in algorithm development and model architectures. This episode is so packed with information, you may want to listen to it multiple times.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Bill Dally – <a href="https://www.linkedin.com/in/billdally/">Website</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.nvidia.com/en-us/research">NVIDIA Research</a></li><li><a href="http://nvdla.org">NVIDIA Deep Learning Accelerator (NVDLA)</a></li><li><a href="https://developer.nvidia.com/cuda-zone">CUDA</a></li><li><a href="https://www.nvidia.com/en-us/self-driving-cars">AI-Powered Self-Driving Cars</a></li><li><a href="https://research.nvidia.com/publication/2017-10_Progressive-Growing-of">Progressive GANs</a></li><li><a href="https://research.nvidia.com/publication/2018-02_PWC-Net%3A-CNNs-for">Optical Flow and Deep Learning</a></li><li><a href="https://developer.nvidia.com/tensorrt">TensorRT</a></li><li><a href="https://developer.nvidia.com/rtx/ngx">Deep Learning Super Sampling</a></li><li><a href="https://www.nvidia.com/en-us/data-center/dgx-2">NVIDIA DGX2</a></li><li><a href="https://www.nvidia.com/en-us/data-center/nvlink">NVSwitch and NVLink</a></li><li><a href="https://www.nvidia.com/en-us/data-center/nvlink">NVIDIA Deep Learning Institute</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 08 Oct 2018 07:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/0559fa43/e979afae.mp3" length="64462681" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2686</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>NVIDIA Chief Scientist Bill Dally joins Daniel Whitenack and Chris Benson for an in-depth conversation about ‘everything AI’ at NVIDIA. As the leader of NVIDIA Research, Bill schools us on GPUs, and then goes on to address everything from AI-enabled robots and self-driving vehicles, to new AI research innovations in algorithm development and model architectures. This episode is so packed with information, you may want to listen to it multiple times.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Bill Dally – <a href="https://www.linkedin.com/in/billdally/">Website</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.nvidia.com/en-us/research">NVIDIA Research</a></li><li><a href="http://nvdla.org">NVIDIA Deep Learning Accelerator (NVDLA)</a></li><li><a href="https://developer.nvidia.com/cuda-zone">CUDA</a></li><li><a href="https://www.nvidia.com/en-us/self-driving-cars">AI-Powered Self-Driving Cars</a></li><li><a href="https://research.nvidia.com/publication/2017-10_Progressive-Growing-of">Progressive GANs</a></li><li><a href="https://research.nvidia.com/publication/2018-02_PWC-Net%3A-CNNs-for">Optical Flow and Deep Learning</a></li><li><a href="https://developer.nvidia.com/tensorrt">TensorRT</a></li><li><a href="https://developer.nvidia.com/rtx/ngx">Deep Learning Super Sampling</a></li><li><a href="https://www.nvidia.com/en-us/data-center/dgx-2">NVIDIA DGX2</a></li><li><a href="https://www.nvidia.com/en-us/data-center/nvlink">NVSwitch and NVLink</a></li><li><a href="https://www.nvidia.com/en-us/data-center/nvlink">NVIDIA Deep Learning Institute</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/billdally" img="https://img.transistorcdn.com/qCsQg3Rg1aBah9RES40-zE9TFioyyMDplVNdCaanRzY/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS80Nzhm/MDhhOWZjODVmYjU3/NzgwMTQxM2I2MDQ0/MWI0OS5qcGVn.jpg">Bill Dally</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>OpenAI, reinforcement learning, robots, safety</title>
      <itunes:episode>14</itunes:episode>
      <podcast:episode>14</podcast:episode>
      <itunes:title>OpenAI, reinforcement learning, robots, safety</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/599</guid>
      <link>https://share.transistor.fm/s/85a03199</link>
      <description>
        <![CDATA[<p>We met up with Wojciech Zaremba at the O’Reilly AI conference in SF. He took some time to talk to us about some of his recent research related to reinforcement learning and robots. We also discussed AI safety and the hype around OpenAI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Wojciech Zaremba – <a href="http://wojzaremba.com/">Website</a>, <a href="https://github.com/wojzaremba">GitHub</a>, <a href="https://x.com/woj_zaremba">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://conferences.oreilly.com/artificial-intelligence/ai-ca/public/schedule/detail/71237">Woj’s talk at O’Reilly AI</a></li><li><a href="https://openai.com/">OpenAI</a></li><li><a href="https://blog.openai.com/">OpenAI blog</a></li><li><a href="https://blog.openai.com/openai-five/">The Dota playing team of AIs from OpenAI</a></li><li><a href="https://en.wikipedia.org/wiki/Tay_(bot)">Microsoft Tay Chatbot</a></li><li><a href="https://en.wikipedia.org/wiki/Reinforcement_learning">Reinforcement learning Wikipedia</a></li><li><a href="http://rail.eecs.berkeley.edu/deeprlcourse/">Berkeley course CS294-112 on Reinforcement learning</a>. Includes pdf notes and <a href="https://www.youtube.com/playlist?list=PLkFD6_40KJIxJMR-j5A1mkxK26gh_qg37">YouTube videos</a> of the lectures.</li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0262035618">“Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville</a></li><li><a href="https://www.amazon.com/dp/0262039249">“Reinforcement Learning: An Introduction” by Richard S. Sutton and Andrew G. Barto</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>We met up with Wojciech Zaremba at the O’Reilly AI conference in SF. He took some time to talk to us about some of his recent research related to reinforcement learning and robots. We also discussed AI safety and the hype around OpenAI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Wojciech Zaremba – <a href="http://wojzaremba.com/">Website</a>, <a href="https://github.com/wojzaremba">GitHub</a>, <a href="https://x.com/woj_zaremba">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://conferences.oreilly.com/artificial-intelligence/ai-ca/public/schedule/detail/71237">Woj’s talk at O’Reilly AI</a></li><li><a href="https://openai.com/">OpenAI</a></li><li><a href="https://blog.openai.com/">OpenAI blog</a></li><li><a href="https://blog.openai.com/openai-five/">The Dota playing team of AIs from OpenAI</a></li><li><a href="https://en.wikipedia.org/wiki/Tay_(bot)">Microsoft Tay Chatbot</a></li><li><a href="https://en.wikipedia.org/wiki/Reinforcement_learning">Reinforcement learning Wikipedia</a></li><li><a href="http://rail.eecs.berkeley.edu/deeprlcourse/">Berkeley course CS294-112 on Reinforcement learning</a>. Includes pdf notes and <a href="https://www.youtube.com/playlist?list=PLkFD6_40KJIxJMR-j5A1mkxK26gh_qg37">YouTube videos</a> of the lectures.</li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0262035618">“Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville</a></li><li><a href="https://www.amazon.com/dp/0262039249">“Reinforcement Learning: An Introduction” by Richard S. Sutton and Andrew G. Barto</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 01 Oct 2018 11:30:55 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/85a03199/0f6577ef.mp3" length="47756645" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>1988</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>We met up with Wojciech Zaremba at the O’Reilly AI conference in SF. He took some time to talk to us about some of his recent research related to reinforcement learning and robots. We also discussed AI safety and the hype around OpenAI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Wojciech Zaremba – <a href="http://wojzaremba.com/">Website</a>, <a href="https://github.com/wojzaremba">GitHub</a>, <a href="https://x.com/woj_zaremba">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://conferences.oreilly.com/artificial-intelligence/ai-ca/public/schedule/detail/71237">Woj’s talk at O’Reilly AI</a></li><li><a href="https://openai.com/">OpenAI</a></li><li><a href="https://blog.openai.com/">OpenAI blog</a></li><li><a href="https://blog.openai.com/openai-five/">The Dota playing team of AIs from OpenAI</a></li><li><a href="https://en.wikipedia.org/wiki/Tay_(bot)">Microsoft Tay Chatbot</a></li><li><a href="https://en.wikipedia.org/wiki/Reinforcement_learning">Reinforcement learning Wikipedia</a></li><li><a href="http://rail.eecs.berkeley.edu/deeprlcourse/">Berkeley course CS294-112 on Reinforcement learning</a>. Includes pdf notes and <a href="https://www.youtube.com/playlist?list=PLkFD6_40KJIxJMR-j5A1mkxK26gh_qg37">YouTube videos</a> of the lectures.</li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/0262035618">“Deep Learning” by Ian Goodfellow, Yoshua Bengio and Aaron Courville</a></li><li><a href="https://www.amazon.com/dp/0262039249">“Reinforcement Learning: An Introduction” by Richard S. Sutton and Andrew G. Barto</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/wojzaremba" img="https://img.transistorcdn.com/TfWUPdEkEAHu9Y8fLpFtcliEsACM0RboM20s7uLC1aA/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZjMz/Y2I0Mjg4OTBkZDU3/YmZiYmZhMjgwNzJm/NDc1My5qcGc.jpg">Wojciech Zaremba</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Answering recent AI questions from Quora</title>
      <itunes:episode>13</itunes:episode>
      <podcast:episode>13</podcast:episode>
      <itunes:title>Answering recent AI questions from Quora</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/596</guid>
      <link>https://share.transistor.fm/s/8565dc57</link>
      <description>
        <![CDATA[<p>An amazing panel of AI innovators joined us at the O’Reilly AI conference to answer the most pressing AI questions from Quora. We also discussed trends in the industry and some exciting new advances in FPGA hardware.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Wes Jensen – <a href="https://www.linkedin.com/in/wejensen/">Website</a></li><li>Peter Ma – <a href="https://www.linkedin.com/in/nyceane/">Website</a></li><li>David Ojika – <a href="https://x.com/DaveOjika">X</a></li><li>Vinay Rao – <a href="https://rocketml.net">Website</a>, <a href="https://x.com/vrstartup">X</a></li><li>Osamah Mohammed Ali – <a href="https://www.linkedin.com/in/osamah-mohammed-ali-34a85436/">Website</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://software.intel.com/en-us/ai-academy">Intel AI Academy</a></li><li><a href="https://software.intel.com/en-us/ai-academy/devcloud">Intel DevCloud</a></li><li><a href="https://developer.movidius.com/">Movidius Neural Compute Stick</a></li><li><a href="https://cloud.google.com/automl/">Cloud AutoML</a></li><li><a href="http://www.fast.ai/2018/07/23/auto-ml-3/">Google’s AutoML: Cutting Through the Hype</a></li><li><a href="https://mlperf.org/">MLPerf</a></li><li><a href="https://software.intel.com/en-us/openvino-toolkit">OpenVino, OpenCV SDK</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>An amazing panel of AI innovators joined us at the O’Reilly AI conference to answer the most pressing AI questions from Quora. We also discussed trends in the industry and some exciting new advances in FPGA hardware.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Wes Jensen – <a href="https://www.linkedin.com/in/wejensen/">Website</a></li><li>Peter Ma – <a href="https://www.linkedin.com/in/nyceane/">Website</a></li><li>David Ojika – <a href="https://x.com/DaveOjika">X</a></li><li>Vinay Rao – <a href="https://rocketml.net">Website</a>, <a href="https://x.com/vrstartup">X</a></li><li>Osamah Mohammed Ali – <a href="https://www.linkedin.com/in/osamah-mohammed-ali-34a85436/">Website</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://software.intel.com/en-us/ai-academy">Intel AI Academy</a></li><li><a href="https://software.intel.com/en-us/ai-academy/devcloud">Intel DevCloud</a></li><li><a href="https://developer.movidius.com/">Movidius Neural Compute Stick</a></li><li><a href="https://cloud.google.com/automl/">Cloud AutoML</a></li><li><a href="http://www.fast.ai/2018/07/23/auto-ml-3/">Google’s AutoML: Cutting Through the Hype</a></li><li><a href="https://mlperf.org/">MLPerf</a></li><li><a href="https://software.intel.com/en-us/openvino-toolkit">OpenVino, OpenCV SDK</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 18 Sep 2018 11:09:57 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/8565dc57/9f812b23.mp3" length="70415329" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2934</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>An amazing panel of AI innovators joined us at the O’Reilly AI conference to answer the most pressing AI questions from Quora. We also discussed trends in the industry and some exciting new advances in FPGA hardware.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – DigitalOcean is simplicity at scale. Whether your business is running one virtual machine or ten thousand, DigitalOcean gets out of your way so your team can build, deploy, and scale faster and more efficiently. New accounts get $100 in credit to use in your first 60 days. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Wes Jensen – <a href="https://www.linkedin.com/in/wejensen/">Website</a></li><li>Peter Ma – <a href="https://www.linkedin.com/in/nyceane/">Website</a></li><li>David Ojika – <a href="https://x.com/DaveOjika">X</a></li><li>Vinay Rao – <a href="https://rocketml.net">Website</a>, <a href="https://x.com/vrstartup">X</a></li><li>Osamah Mohammed Ali – <a href="https://www.linkedin.com/in/osamah-mohammed-ali-34a85436/">Website</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://software.intel.com/en-us/ai-academy">Intel AI Academy</a></li><li><a href="https://software.intel.com/en-us/ai-academy/devcloud">Intel DevCloud</a></li><li><a href="https://developer.movidius.com/">Movidius Neural Compute Stick</a></li><li><a href="https://cloud.google.com/automl/">Cloud AutoML</a></li><li><a href="http://www.fast.ai/2018/07/23/auto-ml-3/">Google’s AutoML: Cutting Through the Hype</a></li><li><a href="https://mlperf.org/">MLPerf</a></li><li><a href="https://software.intel.com/en-us/openvino-toolkit">OpenVino, OpenCV SDK</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/wesjensen" img="https://img.transistorcdn.com/PG0AxRuuFamrKJd0kiN5mF_Q9porbcV1jsqB7lzEHY4/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zYTVm/OWQyNmE5Y2EzMWYw/MzhhMjg2YmIyYjMz/ZDhmZC5qcGVn.jpg">Wes Jensen</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/peterma" img="https://img.transistorcdn.com/rd9ZWY8fZIpXekmg6ri5NIxtmKSktnig6LIJGuJQW2Y/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xNjE2/OTg4ZThhNWFhMDAz/YWIyNjY5ZTE0Y2U5/YzE5MC5qcGVn.jpg">Peter Ma</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/davidojika" img="https://img.transistorcdn.com/e9qgD7Y4FARLbUn6tta97JRCh6aysjJdax9z3qz_QPM/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lODJm/OWU5M2U0M2Y5Y2Y3/NDU4YjFlM2RhNmZm/ZTEyOC5qcGc.jpg">David Ojika</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/vinayrao" img="https://img.transistorcdn.com/-BFTeOIR9jMEdrqanIvOdQrscrouwFlaGgZY2flXaLY/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9kNDUx/ZDFiYjZlMzk5Mzlm/OThjODYyY2ExZjcw/MTE0Mi5qcGVn.jpg">Vinay Rao</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/oali" img="https://img.transistorcdn.com/u-QJLj6lWi5WutxVJvHGO5oKGXUH-rN63E3CZGmczF4/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xYzMw/YzUwZjE5YTk5NDAx/ZTExNWUwYzhkZjQy/OTUzYS5qcGVn.jpg">Osamah Mohammed Ali</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>AI in healthcare, synthesizing dance moves, hardware acceleration</title>
      <itunes:episode>12</itunes:episode>
      <podcast:episode>12</podcast:episode>
      <itunes:title>AI in healthcare, synthesizing dance moves, hardware acceleration</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/587</guid>
      <link>https://share.transistor.fm/s/cec26cda</link>
      <description>
        <![CDATA[<p>Chris and Daniel discuss new advances in AI research (including a creepy dancing video), how AI is creating opportunity for new chip startups, and uses of deep learning in healthcare. They also share some great learning resources, including one of Chris’s favorite online courses.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – Enjoy CPU optimized droplets with dedicated hyper-threads from best in class Intel CPUs for all your machine learning and batch processing needs. Easily spin up a one-click Machine Learning and AI application image and get immediate access to Python3, R, Jupyter Notebook, TensorFlow, SciKit, and PyTorch. Our listeners get $100 in credit! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>News/Updates:</p><ul><li><a href="https://twitter.com/PyTorch/status/1033881797841575936">New seq2seq architecture without explicit encoder/decoder</a></li><li><a href="https://twitter.com/hardmaru/status/1032762806796312576">Dancing video synthesis</a></li><li><a href="https://conferences.oreilly.com/artificial-intelligence/ai-ca">O’Reilly AI SF</a></li><li><a href="https://venturebeat.com/2018/08/16/how-ai-is-decommoditizing-the-chip-industry">How AI is decommoditizing the chip industry</a></li><li><a href="https://www.healthcareitnews.com/news/johns-hopkins-researchers-use-deep-learning-combat-pancreatic-cancer">Johns Hopkins researchers use deep learning to combat pancreatic cancer</a></li><li><a href="https://phys.org/news/2018-07-artificial-intelligence-drugs.html">Artificial intelligence system designs drugs from scratch</a></li></ul><p>Learning Resources:</p><ul><li><a href="https://anvaka.github.io/greview/hands-on-ml/1/">Hands on ML books dataviz</a></li><li><a href="https://www.udemy.com/complete-guide-to-tensorflow-for-deep-learning-with-python">Udemy - Complete Guide to TensorFlow for Deep Learning with Python</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1492032646">“Hands-On Machine Learning” by Aurélien Géron</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Chris and Daniel discuss new advances in AI research (including a creepy dancing video), how AI is creating opportunity for new chip startups, and uses of deep learning in healthcare. They also share some great learning resources, including one of Chris’s favorite online courses.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – Enjoy CPU optimized droplets with dedicated hyper-threads from best in class Intel CPUs for all your machine learning and batch processing needs. Easily spin up a one-click Machine Learning and AI application image and get immediate access to Python3, R, Jupyter Notebook, TensorFlow, SciKit, and PyTorch. Our listeners get $100 in credit! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>News/Updates:</p><ul><li><a href="https://twitter.com/PyTorch/status/1033881797841575936">New seq2seq architecture without explicit encoder/decoder</a></li><li><a href="https://twitter.com/hardmaru/status/1032762806796312576">Dancing video synthesis</a></li><li><a href="https://conferences.oreilly.com/artificial-intelligence/ai-ca">O’Reilly AI SF</a></li><li><a href="https://venturebeat.com/2018/08/16/how-ai-is-decommoditizing-the-chip-industry">How AI is decommoditizing the chip industry</a></li><li><a href="https://www.healthcareitnews.com/news/johns-hopkins-researchers-use-deep-learning-combat-pancreatic-cancer">Johns Hopkins researchers use deep learning to combat pancreatic cancer</a></li><li><a href="https://phys.org/news/2018-07-artificial-intelligence-drugs.html">Artificial intelligence system designs drugs from scratch</a></li></ul><p>Learning Resources:</p><ul><li><a href="https://anvaka.github.io/greview/hands-on-ml/1/">Hands on ML books dataviz</a></li><li><a href="https://www.udemy.com/complete-guide-to-tensorflow-for-deep-learning-with-python">Udemy - Complete Guide to TensorFlow for Deep Learning with Python</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1492032646">“Hands-On Machine Learning” by Aurélien Géron</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 03 Sep 2018 07:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>1254</itunes:duration>
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        <![CDATA[<p>Chris and Daniel discuss new advances in AI research (including a creepy dancing video), how AI is creating opportunity for new chip startups, and uses of deep learning in healthcare. They also share some great learning resources, including one of Chris’s favorite online courses.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – Enjoy CPU optimized droplets with dedicated hyper-threads from best in class Intel CPUs for all your machine learning and batch processing needs. Easily spin up a one-click Machine Learning and AI application image and get immediate access to Python3, R, Jupyter Notebook, TensorFlow, SciKit, and PyTorch. Our listeners get $100 in credit! </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>News/Updates:</p><ul><li><a href="https://twitter.com/PyTorch/status/1033881797841575936">New seq2seq architecture without explicit encoder/decoder</a></li><li><a href="https://twitter.com/hardmaru/status/1032762806796312576">Dancing video synthesis</a></li><li><a href="https://conferences.oreilly.com/artificial-intelligence/ai-ca">O’Reilly AI SF</a></li><li><a href="https://venturebeat.com/2018/08/16/how-ai-is-decommoditizing-the-chip-industry">How AI is decommoditizing the chip industry</a></li><li><a href="https://www.healthcareitnews.com/news/johns-hopkins-researchers-use-deep-learning-combat-pancreatic-cancer">Johns Hopkins researchers use deep learning to combat pancreatic cancer</a></li><li><a href="https://phys.org/news/2018-07-artificial-intelligence-drugs.html">Artificial intelligence system designs drugs from scratch</a></li></ul><p>Learning Resources:</p><ul><li><a href="https://anvaka.github.io/greview/hands-on-ml/1/">Hands on ML books dataviz</a></li><li><a href="https://www.udemy.com/complete-guide-to-tensorflow-for-deep-learning-with-python">Udemy - Complete Guide to TensorFlow for Deep Learning with Python</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1492032646">“Hands-On Machine Learning” by Aurélien Géron</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
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    <item>
      <title>Robot Perception and Mask R-CNN</title>
      <itunes:episode>11</itunes:episode>
      <podcast:episode>11</podcast:episode>
      <itunes:title>Robot Perception and Mask R-CNN</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/585</guid>
      <link>https://share.transistor.fm/s/2acde001</link>
      <description>
        <![CDATA[<p>Chris DeBellis, a lead AI data scientist at Honeywell, helps us understand what Mask R-CNN is and why it’s useful for robot perception. We also explore how this method compares with other convolutional neural network approaches and how you can get started with Mask R-CNN.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – Enjoy CPU optimized droplets with dedicated hyper-threads from best in class Intel CPUs for all your machine learning and batch processing needs. Easily spin up a one-click Machine Learning and AI application image and get immediate access to Python3, R, Jupyter Notebook, TensorFlow, SciKit, and PyTorch. Our listeners get $100 in credit! </li><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li></ul><p>Featuring:</p><ul><li>Chris DeBellis – <a href="https://www.linkedin.com/in/chrisdebellis/">Website</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/matterport/Mask_RCNN">Matterport R-CNN</a></li><li><a href="https://arxiv.org/abs/1703.06870">Mask R-CNN paper</a></li><li><a href="http://cocodataset.org/#home">COCO dataset</a></li><li><a href="http://cs231n.stanford.edu/">Stanford CNN course</a></li><li><a href="http://cs230.stanford.edu/">Stanford Deep Learning course</a></li><li><a href="https://github.com/facebookresearch/Detectron">Facebook’s Detectron</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Chris DeBellis, a lead AI data scientist at Honeywell, helps us understand what Mask R-CNN is and why it’s useful for robot perception. We also explore how this method compares with other convolutional neural network approaches and how you can get started with Mask R-CNN.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – Enjoy CPU optimized droplets with dedicated hyper-threads from best in class Intel CPUs for all your machine learning and batch processing needs. Easily spin up a one-click Machine Learning and AI application image and get immediate access to Python3, R, Jupyter Notebook, TensorFlow, SciKit, and PyTorch. Our listeners get $100 in credit! </li><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li></ul><p>Featuring:</p><ul><li>Chris DeBellis – <a href="https://www.linkedin.com/in/chrisdebellis/">Website</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/matterport/Mask_RCNN">Matterport R-CNN</a></li><li><a href="https://arxiv.org/abs/1703.06870">Mask R-CNN paper</a></li><li><a href="http://cocodataset.org/#home">COCO dataset</a></li><li><a href="http://cs231n.stanford.edu/">Stanford CNN course</a></li><li><a href="http://cs230.stanford.edu/">Stanford Deep Learning course</a></li><li><a href="https://github.com/facebookresearch/Detectron">Facebook’s Detectron</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 27 Aug 2018 07:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/2acde001/5003d34e.mp3" length="67285937" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2803</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Chris DeBellis, a lead AI data scientist at Honeywell, helps us understand what Mask R-CNN is and why it’s useful for robot perception. We also explore how this method compares with other convolutional neural network approaches and how you can get started with Mask R-CNN.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – Enjoy CPU optimized droplets with dedicated hyper-threads from best in class Intel CPUs for all your machine learning and batch processing needs. Easily spin up a one-click Machine Learning and AI application image and get immediate access to Python3, R, Jupyter Notebook, TensorFlow, SciKit, and PyTorch. Our listeners get $100 in credit! </li><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li></ul><p>Featuring:</p><ul><li>Chris DeBellis – <a href="https://www.linkedin.com/in/chrisdebellis/">Website</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://github.com/matterport/Mask_RCNN">Matterport R-CNN</a></li><li><a href="https://arxiv.org/abs/1703.06870">Mask R-CNN paper</a></li><li><a href="http://cocodataset.org/#home">COCO dataset</a></li><li><a href="http://cs231n.stanford.edu/">Stanford CNN course</a></li><li><a href="http://cs230.stanford.edu/">Stanford Deep Learning course</a></li><li><a href="https://github.com/facebookresearch/Detectron">Facebook’s Detectron</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/chrisdebellis" img="https://img.transistorcdn.com/bqWcORR3yc0MSczLxPRsY-dx_nTvYQOIl0TtV63JG84/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jMDU1/NDY0YzZkNWMxNjAx/MjY3Nzg3M2UxZTUz/ZjZjOC5qcGVn.jpg">Chris DeBellis</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Open source tools, AI for Dota, and enterprise ML adoption</title>
      <itunes:episode>10</itunes:episode>
      <podcast:episode>10</podcast:episode>
      <itunes:title>Open source tools, AI for Dota, and enterprise ML adoption</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <description>
        <![CDATA[<p>This week, Daniel and Chris talk about playing Dota at OpenAI, O’Reilly’s machine learning survey, AI-oriented open source (Julia, AutoKeras, Netron, PyTorch), robotics, and even the impact AI strategy has on corporate and national interests. Don’t miss it!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – Enjoy CPU optimized droplets with dedicated hyper-threads from best in class Intel CPUs for all your machine learning and batch processing needs. Easily spin up a one-click Machine Learning and AI application image and get immediate access to Python3, R, Jupyter Notebook, TensorFlow, SciKit, and PyTorch. Our listeners get $100 in credit! </li><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.oreilly.com/ideas/5-findings-from-oreilly-machine-learning-adoption-survey-companies-should-know">The State of Machine Learning Adoption in the Enterprise</a></li><li><a href="https://towardsdatascience.com/autokeras-the-killer-of-googles-automl-9e84c552a319">AutoKeras: The Killer of Google’s AutoML</a></li><li><a href="https://github.com/lutzroeder/Netron">Netron NN visualizer</a></li><li><a href="https://hbr.org/2018/08/whats-the-purpose-of-companies-in-the-age-of-ai">What’s the Purpose of Companies in the Age of AI?</a></li><li><a href="https://julialang.org/blog/2018/08/one-point-zero">Julia 1.0</a></li><li><a href="https://www.ianhogarth.com/blog/2018/6/13/ai-nationalism">AI Nationalism</a></li><li><a href="https://t.co/hZd1XZmuZy">OpenAI and Dota</a></li><li><a href="https://pytorch.org/tutorials">PyTorch Tutorials</a></li><li><a href="https://lifehacker.com/how-to-get-started-in-machine-learning-and-robotics-1828084842">How to Get Started in Machine Learning and Robotics</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>This week, Daniel and Chris talk about playing Dota at OpenAI, O’Reilly’s machine learning survey, AI-oriented open source (Julia, AutoKeras, Netron, PyTorch), robotics, and even the impact AI strategy has on corporate and national interests. Don’t miss it!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – Enjoy CPU optimized droplets with dedicated hyper-threads from best in class Intel CPUs for all your machine learning and batch processing needs. Easily spin up a one-click Machine Learning and AI application image and get immediate access to Python3, R, Jupyter Notebook, TensorFlow, SciKit, and PyTorch. Our listeners get $100 in credit! </li><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.oreilly.com/ideas/5-findings-from-oreilly-machine-learning-adoption-survey-companies-should-know">The State of Machine Learning Adoption in the Enterprise</a></li><li><a href="https://towardsdatascience.com/autokeras-the-killer-of-googles-automl-9e84c552a319">AutoKeras: The Killer of Google’s AutoML</a></li><li><a href="https://github.com/lutzroeder/Netron">Netron NN visualizer</a></li><li><a href="https://hbr.org/2018/08/whats-the-purpose-of-companies-in-the-age-of-ai">What’s the Purpose of Companies in the Age of AI?</a></li><li><a href="https://julialang.org/blog/2018/08/one-point-zero">Julia 1.0</a></li><li><a href="https://www.ianhogarth.com/blog/2018/6/13/ai-nationalism">AI Nationalism</a></li><li><a href="https://t.co/hZd1XZmuZy">OpenAI and Dota</a></li><li><a href="https://pytorch.org/tutorials">PyTorch Tutorials</a></li><li><a href="https://lifehacker.com/how-to-get-started-in-machine-learning-and-robotics-1828084842">How to Get Started in Machine Learning and Robotics</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Tue, 21 Aug 2018 11:09:18 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/c991de23/018b21a7.mp3" length="45922489" type="audio/mpeg"/>
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      <itunes:duration>1912</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>This week, Daniel and Chris talk about playing Dota at OpenAI, O’Reilly’s machine learning survey, AI-oriented open source (Julia, AutoKeras, Netron, PyTorch), robotics, and even the impact AI strategy has on corporate and national interests. Don’t miss it!</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://do.co/changelog">DigitalOcean</a> – Enjoy CPU optimized droplets with dedicated hyper-threads from best in class Intel CPUs for all your machine learning and batch processing needs. Easily spin up a one-click Machine Learning and AI application image and get immediate access to Python3, R, Jupyter Notebook, TensorFlow, SciKit, and PyTorch. Our listeners get $100 in credit! </li><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.oreilly.com/ideas/5-findings-from-oreilly-machine-learning-adoption-survey-companies-should-know">The State of Machine Learning Adoption in the Enterprise</a></li><li><a href="https://towardsdatascience.com/autokeras-the-killer-of-googles-automl-9e84c552a319">AutoKeras: The Killer of Google’s AutoML</a></li><li><a href="https://github.com/lutzroeder/Netron">Netron NN visualizer</a></li><li><a href="https://hbr.org/2018/08/whats-the-purpose-of-companies-in-the-age-of-ai">What’s the Purpose of Companies in the Age of AI?</a></li><li><a href="https://julialang.org/blog/2018/08/one-point-zero">Julia 1.0</a></li><li><a href="https://www.ianhogarth.com/blog/2018/6/13/ai-nationalism">AI Nationalism</a></li><li><a href="https://t.co/hZd1XZmuZy">OpenAI and Dota</a></li><li><a href="https://pytorch.org/tutorials">PyTorch Tutorials</a></li><li><a href="https://lifehacker.com/how-to-get-started-in-machine-learning-and-robotics-1828084842">How to Get Started in Machine Learning and Robotics</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>Behavioral economics and AI-driven decision making</title>
      <itunes:episode>9</itunes:episode>
      <podcast:episode>9</podcast:episode>
      <itunes:title>Behavioral economics and AI-driven decision making</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/577</guid>
      <link>https://share.transistor.fm/s/21c4be99</link>
      <description>
        <![CDATA[<p>Mike Bugembe teaches us how to build a culture of data-driven decision making within a company, leverage behavioral economics, and identify high value use cases for AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Mike Bugembe – <a href="https://x.com/mikebugembe">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.justgiving.com/">JustGiving</a></li><li><a href="http://www.growthengineering.co.uk/bj-foggs-behavior-model/">BJ Fogg’s Behavioral Model</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1781333335">“Cracking The Data Code” by Mike Bugembe</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Mike Bugembe teaches us how to build a culture of data-driven decision making within a company, leverage behavioral economics, and identify high value use cases for AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Mike Bugembe – <a href="https://x.com/mikebugembe">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.justgiving.com/">JustGiving</a></li><li><a href="http://www.growthengineering.co.uk/bj-foggs-behavior-model/">BJ Fogg’s Behavioral Model</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1781333335">“Cracking The Data Code” by Mike Bugembe</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 13 Aug 2018 07:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/21c4be99/2bdfd762.mp3" length="36373155" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>3026</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Mike Bugembe teaches us how to build a culture of data-driven decision making within a company, leverage behavioral economics, and identify high value use cases for AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Mike Bugembe – <a href="https://x.com/mikebugembe">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.justgiving.com/">JustGiving</a></li><li><a href="http://www.growthengineering.co.uk/bj-foggs-behavior-model/">BJ Fogg’s Behavioral Model</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1781333335">“Cracking The Data Code” by Mike Bugembe</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/mikebugembe" img="https://img.transistorcdn.com/yovGSsBXIvDH41GdxrEks9PFzN9x9EWjotTwtWyvvb4/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9mZjE3/NTRkMzdhMTRiZDM2/ODVjMTU4M2ZhMGZk/OWQxNy5qcGVn.jpg">Mike Bugembe</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Eye tracking, Henry Kissinger on AI, Vim</title>
      <itunes:episode>8</itunes:episode>
      <podcast:episode>8</podcast:episode>
      <itunes:title>Eye tracking, Henry Kissinger on AI, Vim</itunes:title>
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      <link>https://share.transistor.fm/s/a8f33aaa</link>
      <description>
        <![CDATA[<p>Chris and Daniel help us wade through the week’s AI news, including open ML challenges from Intel and National Geographic, Henry Kissinger’s views on AI, and a model that can detect personality based on eye movements. They also point out some useful resources to learn more about pandas, the vim editor, and AI algorithms.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>News:</p><ul><li><a href="https://www.nationalgeographic.org/grants/grant-opportunities/ai-earth-innovation/">RFP for National Geographic AI earth innovation</a></li><li><a href="http://aichallenge.intel.com/space">Intel - AI Interplanetary challenge</a></li><li><a href="https://www.fastcompany.com/90202730/this-clever-app-lets-amazon-alexa-read-sign-language">App that lets Alexa read sign language</a></li><li><a href="https://queue.acm.org/detail.cfm?id=3241340">The mythos of model interpretability</a></li><li><a href="https://neurosciencenews.com/ai-personality-9621/amp/?__twitter_impression=true">Artificial Intelligence Can Predict Your Personality By Simply Tracking Your Eyes</a></li><li><a href="https://www-forbes-com.cdn.ampproject.org/c/s/www.forbes.com/sites/jasonbloomberg/2018/07/07/think-you-know-how-disruptive-artificial-intelligence-is-think-again/amp">Think You Know How Disruptive Artificial Intelligence Is? Think Again.</a></li><li><a href="https://www.theatlantic.com/magazine/archive/2018/06/henry-kissinger-ai-could-mean-the-end-of-human-history/559124">How the Enlightenment Ends</a></li></ul><p>Learning resources:</p><ul><li><a href="https://realpython.com/fast-flexible-pandas/">Pandas tips and tricks</a></li><li><a href="https://jovicailic.org/mastering-vim-quickly/">Mastering vim quickly</a></li><li><a href="https://medium.com/@montjoile/an-introduction-to-gradient-descent-algorithm-34cf3cee752b">An introduction to Gradient Descent Algorithm</a></li><li><a href="https://www.oreilly.com/ideas/introducing-capsule-networks">Introducing capsule networks</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Chris and Daniel help us wade through the week’s AI news, including open ML challenges from Intel and National Geographic, Henry Kissinger’s views on AI, and a model that can detect personality based on eye movements. They also point out some useful resources to learn more about pandas, the vim editor, and AI algorithms.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>News:</p><ul><li><a href="https://www.nationalgeographic.org/grants/grant-opportunities/ai-earth-innovation/">RFP for National Geographic AI earth innovation</a></li><li><a href="http://aichallenge.intel.com/space">Intel - AI Interplanetary challenge</a></li><li><a href="https://www.fastcompany.com/90202730/this-clever-app-lets-amazon-alexa-read-sign-language">App that lets Alexa read sign language</a></li><li><a href="https://queue.acm.org/detail.cfm?id=3241340">The mythos of model interpretability</a></li><li><a href="https://neurosciencenews.com/ai-personality-9621/amp/?__twitter_impression=true">Artificial Intelligence Can Predict Your Personality By Simply Tracking Your Eyes</a></li><li><a href="https://www-forbes-com.cdn.ampproject.org/c/s/www.forbes.com/sites/jasonbloomberg/2018/07/07/think-you-know-how-disruptive-artificial-intelligence-is-think-again/amp">Think You Know How Disruptive Artificial Intelligence Is? Think Again.</a></li><li><a href="https://www.theatlantic.com/magazine/archive/2018/06/henry-kissinger-ai-could-mean-the-end-of-human-history/559124">How the Enlightenment Ends</a></li></ul><p>Learning resources:</p><ul><li><a href="https://realpython.com/fast-flexible-pandas/">Pandas tips and tricks</a></li><li><a href="https://jovicailic.org/mastering-vim-quickly/">Mastering vim quickly</a></li><li><a href="https://medium.com/@montjoile/an-introduction-to-gradient-descent-algorithm-34cf3cee752b">An introduction to Gradient Descent Algorithm</a></li><li><a href="https://www.oreilly.com/ideas/introducing-capsule-networks">Introducing capsule networks</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 06 Aug 2018 15:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>1739</itunes:duration>
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        <![CDATA[<p>Chris and Daniel help us wade through the week’s AI news, including open ML challenges from Intel and National Geographic, Henry Kissinger’s views on AI, and a model that can detect personality based on eye movements. They also point out some useful resources to learn more about pandas, the vim editor, and AI algorithms.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><p>News:</p><ul><li><a href="https://www.nationalgeographic.org/grants/grant-opportunities/ai-earth-innovation/">RFP for National Geographic AI earth innovation</a></li><li><a href="http://aichallenge.intel.com/space">Intel - AI Interplanetary challenge</a></li><li><a href="https://www.fastcompany.com/90202730/this-clever-app-lets-amazon-alexa-read-sign-language">App that lets Alexa read sign language</a></li><li><a href="https://queue.acm.org/detail.cfm?id=3241340">The mythos of model interpretability</a></li><li><a href="https://neurosciencenews.com/ai-personality-9621/amp/?__twitter_impression=true">Artificial Intelligence Can Predict Your Personality By Simply Tracking Your Eyes</a></li><li><a href="https://www-forbes-com.cdn.ampproject.org/c/s/www.forbes.com/sites/jasonbloomberg/2018/07/07/think-you-know-how-disruptive-artificial-intelligence-is-think-again/amp">Think You Know How Disruptive Artificial Intelligence Is? Think Again.</a></li><li><a href="https://www.theatlantic.com/magazine/archive/2018/06/henry-kissinger-ai-could-mean-the-end-of-human-history/559124">How the Enlightenment Ends</a></li></ul><p>Learning resources:</p><ul><li><a href="https://realpython.com/fast-flexible-pandas/">Pandas tips and tricks</a></li><li><a href="https://jovicailic.org/mastering-vim-quickly/">Mastering vim quickly</a></li><li><a href="https://medium.com/@montjoile/an-introduction-to-gradient-descent-algorithm-34cf3cee752b">An introduction to Gradient Descent Algorithm</a></li><li><a href="https://www.oreilly.com/ideas/introducing-capsule-networks">Introducing capsule networks</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
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    <item>
      <title>Understanding the landscape of AI techniques</title>
      <itunes:episode>7</itunes:episode>
      <podcast:episode>7</podcast:episode>
      <itunes:title>Understanding the landscape of AI techniques</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
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      <link>https://share.transistor.fm/s/a2c1cf77</link>
      <description>
        <![CDATA[<p>Jared Lander, the organizer of NYHackR and general data science guru, joined us to talk about the landscape of AI techniques, how deep learning fits into that landscape, and why you might consider using R for ML/AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Jared Lander – <a href="https://www.jaredlander.com/">Website</a>, <a href="https://github.com/jaredlander">GitHub</a>, <a href="https://x.com/jaredlander">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.landeranalytics.com/">Lander Analytics</a></li><li><a href="https://www.rstats.nyc/">New York R Conference</a></li><li><a href="https://nyhackr.org/">New York Open Statistical Programming Meetup</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/013454692X">“R for Everyone” by Jared Lander</a></li><li><a href="https://www.amazon.com/dp/1461468485">“Applied Predictive Modeling” by Max Kuhn and Kjell Johnson</a></li><li><a href="https://www.manning.com/books/deep-learning-with-r-second-edition">“Deep Learning with R” by Francois Chollet and J. J. Allaire</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Jared Lander, the organizer of NYHackR and general data science guru, joined us to talk about the landscape of AI techniques, how deep learning fits into that landscape, and why you might consider using R for ML/AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Jared Lander – <a href="https://www.jaredlander.com/">Website</a>, <a href="https://github.com/jaredlander">GitHub</a>, <a href="https://x.com/jaredlander">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.landeranalytics.com/">Lander Analytics</a></li><li><a href="https://www.rstats.nyc/">New York R Conference</a></li><li><a href="https://nyhackr.org/">New York Open Statistical Programming Meetup</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/013454692X">“R for Everyone” by Jared Lander</a></li><li><a href="https://www.amazon.com/dp/1461468485">“Applied Predictive Modeling” by Max Kuhn and Kjell Johnson</a></li><li><a href="https://www.manning.com/books/deep-learning-with-r-second-edition">“Deep Learning with R” by Francois Chollet and J. J. Allaire</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 30 Jul 2018 07:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2686</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Jared Lander, the organizer of NYHackR and general data science guru, joined us to talk about the landscape of AI techniques, how deep learning fits into that landscape, and why you might consider using R for ML/AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Jared Lander – <a href="https://www.jaredlander.com/">Website</a>, <a href="https://github.com/jaredlander">GitHub</a>, <a href="https://x.com/jaredlander">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.landeranalytics.com/">Lander Analytics</a></li><li><a href="https://www.rstats.nyc/">New York R Conference</a></li><li><a href="https://nyhackr.org/">New York Open Statistical Programming Meetup</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/013454692X">“R for Everyone” by Jared Lander</a></li><li><a href="https://www.amazon.com/dp/1461468485">“Applied Predictive Modeling” by Max Kuhn and Kjell Johnson</a></li><li><a href="https://www.manning.com/books/deep-learning-with-r-second-edition">“Deep Learning with R” by Francois Chollet and J. J. Allaire</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/jaredlander" img="https://img.transistorcdn.com/GbdpoQqmZxfwuagYWja8XLgtc3zHwoyJzXcrEu5M8OA/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS83NmYw/YTQxOTliNGZjYTFl/NjE2YjhjOWU1Yjc1/NzRhMC5qcGc.jpg">Jared Lander</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Government use of facial recognition and AI at Google</title>
      <itunes:episode>6</itunes:episode>
      <podcast:episode>6</podcast:episode>
      <itunes:title>Government use of facial recognition and AI at Google</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/559</guid>
      <link>https://share.transistor.fm/s/37d37fd8</link>
      <description>
        <![CDATA[<p>In this episode, Chris and Daniel discuss the latest news, including an article about Google’s AI principles, and they highlight some useful resources to help you level up.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://techcrunch.com/2018/07/13/aclu-calls-for-a-moratorium-on-government-use-of-facial-recognition-technologies/">ACLU calls for a moratorium on government use of facial recognition technologies – TechCrunch</a></li><li><a href="https://www.oreilly.com/ideas/doing-good-data-science">Doing good data science - O’Reilly Media</a></li><li><a href="https://medium.com/politics-ai/an-overview-of-national-ai-strategies-2a70ec6edfd">An Overview of National AI Strategies – Politics + AI – Medium</a></li><li><a href="https://www.space.com/41041-artificial-intelligence-cimon-space-exploration.html">Meet CIMON, the 1st Robot with Artificial Intelligence to Fly in Space</a></li><li><a href="https://blog.google/technology/ai/ai-principles/">AI at Google: our principles</a></li><li><a href="https://bloomberg.github.io/foml/#home">Foundations of Machine Learning</a></li><li><a href="https://developers.google.com/machine-learning/crash-course/">Machine Learning Crash Course  |  Google Developers</a></li><li><a href="https://www.youtube.com/watch?v=dtFZrFKMiPI">Best Laptop for Machine Learning - YouTube</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this episode, Chris and Daniel discuss the latest news, including an article about Google’s AI principles, and they highlight some useful resources to help you level up.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://techcrunch.com/2018/07/13/aclu-calls-for-a-moratorium-on-government-use-of-facial-recognition-technologies/">ACLU calls for a moratorium on government use of facial recognition technologies – TechCrunch</a></li><li><a href="https://www.oreilly.com/ideas/doing-good-data-science">Doing good data science - O’Reilly Media</a></li><li><a href="https://medium.com/politics-ai/an-overview-of-national-ai-strategies-2a70ec6edfd">An Overview of National AI Strategies – Politics + AI – Medium</a></li><li><a href="https://www.space.com/41041-artificial-intelligence-cimon-space-exploration.html">Meet CIMON, the 1st Robot with Artificial Intelligence to Fly in Space</a></li><li><a href="https://blog.google/technology/ai/ai-principles/">AI at Google: our principles</a></li><li><a href="https://bloomberg.github.io/foml/#home">Foundations of Machine Learning</a></li><li><a href="https://developers.google.com/machine-learning/crash-course/">Machine Learning Crash Course  |  Google Developers</a></li><li><a href="https://www.youtube.com/watch?v=dtFZrFKMiPI">Best Laptop for Machine Learning - YouTube</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 23 Jul 2018 11:15:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/37d37fd8/9a9ecfef.mp3" length="13261867" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>1097</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this episode, Chris and Daniel discuss the latest news, including an article about Google’s AI principles, and they highlight some useful resources to help you level up.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li></ul><p>Featuring:</p><ul><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://techcrunch.com/2018/07/13/aclu-calls-for-a-moratorium-on-government-use-of-facial-recognition-technologies/">ACLU calls for a moratorium on government use of facial recognition technologies – TechCrunch</a></li><li><a href="https://www.oreilly.com/ideas/doing-good-data-science">Doing good data science - O’Reilly Media</a></li><li><a href="https://medium.com/politics-ai/an-overview-of-national-ai-strategies-2a70ec6edfd">An Overview of National AI Strategies – Politics + AI – Medium</a></li><li><a href="https://www.space.com/41041-artificial-intelligence-cimon-space-exploration.html">Meet CIMON, the 1st Robot with Artificial Intelligence to Fly in Space</a></li><li><a href="https://blog.google/technology/ai/ai-principles/">AI at Google: our principles</a></li><li><a href="https://bloomberg.github.io/foml/#home">Foundations of Machine Learning</a></li><li><a href="https://developers.google.com/machine-learning/crash-course/">Machine Learning Crash Course  |  Google Developers</a></li><li><a href="https://www.youtube.com/watch?v=dtFZrFKMiPI">Best Laptop for Machine Learning - YouTube</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Detecting planets with deep learning</title>
      <itunes:episode>5</itunes:episode>
      <podcast:episode>5</podcast:episode>
      <itunes:title>Detecting planets with deep learning</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/556</guid>
      <link>https://share.transistor.fm/s/8799f3fe</link>
      <description>
        <![CDATA[<p>Andrew Vanderburg of UT Austin and Christ Shallue of Google Brain join us to talk about their deep learning collaboration, which involved searching through a crazy amount of space imagery to find new planets.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Andrew Vanderburg – <a href="https://www.cfa.harvard.edu/~avanderb/index.html">Website</a></li><li>Chris Shallue – <a href="https://www.linkedin.com/in/cshallue/">Website</a>, <a href="https://github.com/cshallue">GitHub</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://ai.googleblog.com/2018/03/open-sourcing-hunt-for-exoplanets.html">Google AI Blog: Open Sourcing the Hunt for Exoplanets</a></li><li><a href="https://www.nasa.gov/press-release/artificial-intelligence-nasa-data-used-to-discover-eighth-planet-circling-distant-star">Artificial Intelligence, NASA Data Used to Discover Exoplanet | NASA</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Andrew Vanderburg of UT Austin and Christ Shallue of Google Brain join us to talk about their deep learning collaboration, which involved searching through a crazy amount of space imagery to find new planets.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Andrew Vanderburg – <a href="https://www.cfa.harvard.edu/~avanderb/index.html">Website</a></li><li>Chris Shallue – <a href="https://www.linkedin.com/in/cshallue/">Website</a>, <a href="https://github.com/cshallue">GitHub</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://ai.googleblog.com/2018/03/open-sourcing-hunt-for-exoplanets.html">Google AI Blog: Open Sourcing the Hunt for Exoplanets</a></li><li><a href="https://www.nasa.gov/press-release/artificial-intelligence-nasa-data-used-to-discover-eighth-planet-circling-distant-star">Artificial Intelligence, NASA Data Used to Discover Exoplanet | NASA</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 16 Jul 2018 07:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/8799f3fe/8ac108a5.mp3" length="32663764" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2717</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Andrew Vanderburg of UT Austin and Christ Shallue of Google Brain join us to talk about their deep learning collaboration, which involved searching through a crazy amount of space imagery to find new planets.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Andrew Vanderburg – <a href="https://www.cfa.harvard.edu/~avanderb/index.html">Website</a></li><li>Chris Shallue – <a href="https://www.linkedin.com/in/cshallue/">Website</a>, <a href="https://github.com/cshallue">GitHub</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://ai.googleblog.com/2018/03/open-sourcing-hunt-for-exoplanets.html">Google AI Blog: Open Sourcing the Hunt for Exoplanets</a></li><li><a href="https://www.nasa.gov/press-release/artificial-intelligence-nasa-data-used-to-discover-eighth-planet-circling-distant-star">Artificial Intelligence, NASA Data Used to Discover Exoplanet | NASA</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/avanderburg" img="https://img.transistorcdn.com/DtayWXOUKUnFnIua4FGjOsyEDf_toPpAQGbHsSWX5ac/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8xYmIy/NWRkNTU3YzFlMTk4/MmM3MjQ1ODVjNWY0/NDM2Ny5wbmc.jpg">Andrew Vanderburg</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/cshallue" img="https://img.transistorcdn.com/QmZLhahaltm9Praj0lz5-OKb9i37lCkN_J-lN_a01FY/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zMDQx/YTVlMmU1ZDNhNWZm/YjQxMzFhODk3NGNh/ZjE3ZC5qcGVn.jpg">Chris Shallue</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Data management, regulation, the future of AI</title>
      <itunes:episode>4</itunes:episode>
      <podcast:episode>4</podcast:episode>
      <itunes:title>Data management, regulation, the future of AI</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/551</guid>
      <link>https://share.transistor.fm/s/0744ac6b</link>
      <description>
        <![CDATA[<p>Matthew Carroll and Andrew Burt of Immuta talked with Daniel and Chris about data management for AI, how data regulation will impact AI, and schooled them on the finer points of the General Data Protection Regulation (GDPR).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Matthew Carroll – <a href="https://www.immuta.com/">Website</a>, <a href="https://x.com/mcarroll_">X</a></li><li>Andrew Burt – <a href="http://www.andrewdburt.com/">Website</a>, <a href="https://x.com/AndBurt">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.immuta.com/">Introducing the world’s first data management platform for data science. - Immuta</a></li><li><a href="https://en.wikipedia.org/wiki/General_Data_Protection_Regulation">General Data Protection Regulation - Wikipedia</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Matthew Carroll and Andrew Burt of Immuta talked with Daniel and Chris about data management for AI, how data regulation will impact AI, and schooled them on the finer points of the General Data Protection Regulation (GDPR).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Matthew Carroll – <a href="https://www.immuta.com/">Website</a>, <a href="https://x.com/mcarroll_">X</a></li><li>Andrew Burt – <a href="http://www.andrewdburt.com/">Website</a>, <a href="https://x.com/AndBurt">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.immuta.com/">Introducing the world’s first data management platform for data science. - Immuta</a></li><li><a href="https://en.wikipedia.org/wiki/General_Data_Protection_Regulation">General Data Protection Regulation - Wikipedia</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 09 Jul 2018 07:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/0744ac6b/e7be66fc.mp3" length="34928650" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2906</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Matthew Carroll and Andrew Burt of Immuta talked with Daniel and Chris about data management for AI, how data regulation will impact AI, and schooled them on the finer points of the General Data Protection Regulation (GDPR).</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Matthew Carroll – <a href="https://www.immuta.com/">Website</a>, <a href="https://x.com/mcarroll_">X</a></li><li>Andrew Burt – <a href="http://www.andrewdburt.com/">Website</a>, <a href="https://x.com/AndBurt">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://www.immuta.com/">Introducing the world’s first data management platform for data science. - Immuta</a></li><li><a href="https://en.wikipedia.org/wiki/General_Data_Protection_Regulation">General Data Protection Regulation - Wikipedia</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/mcarroll" img="https://img.transistorcdn.com/-svhE5JKTJvKiUcaHnVzzAtBhnLIe0WD7qjxOsIRKHw/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9hYzQx/N2E0YWI0NWU3NTBk/OTBkZTlmNjcwNTk4/YWIxNS5qcGc.jpg">Matthew Carroll</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/andrewburt" img="https://img.transistorcdn.com/c827jFp4cUqUy8BnNS-VU_-7a8vtGnpG-ZAT79I594o/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9lMWVl/OWQ3YTA2YTFiMjdk/N2I4YTE1NmI3ZDhh/ZjViZC5wbmc.jpg">Andrew Burt</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
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    <item>
      <title>Helping African farmers with TensorFlow</title>
      <itunes:episode>3</itunes:episode>
      <podcast:episode>3</podcast:episode>
      <itunes:title>Helping African farmers with TensorFlow</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/548</guid>
      <link>https://share.transistor.fm/s/88bfc628</link>
      <description>
        <![CDATA[<p>Amanda Ramcharan, Latifa Mrisho, and Peter McCloskey joined Daniel and Chris to talk about how Penn State University are collaborating to help African farmers increase their yields via a TensorFlow powered mobile app.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Amanda Ramcharan – <a href="http://amramcharan.com/">Website</a>, <a href="https://github.com/aramcharan">GitHub</a>, <a href="https://x.com/amram_1987">X</a></li><li>Latifa Mrisho – <a href="https://x.com/tifa_mrisho">X</a></li><li>Peter McCloskey – </li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://arxiv.org/abs/1805.08692">Assessing a mobile-based deep learning model for plant disease surveillance</a></li><li><a href="https://news.psu.edu/story/513236/2018/04/02/research/penn-state-developed-plant-disease-app-recognized-google">Penn State-developed plant-disease app recognized by Google</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Amanda Ramcharan, Latifa Mrisho, and Peter McCloskey joined Daniel and Chris to talk about how Penn State University are collaborating to help African farmers increase their yields via a TensorFlow powered mobile app.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Amanda Ramcharan – <a href="http://amramcharan.com/">Website</a>, <a href="https://github.com/aramcharan">GitHub</a>, <a href="https://x.com/amram_1987">X</a></li><li>Latifa Mrisho – <a href="https://x.com/tifa_mrisho">X</a></li><li>Peter McCloskey – </li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://arxiv.org/abs/1805.08692">Assessing a mobile-based deep learning model for plant disease surveillance</a></li><li><a href="https://news.psu.edu/story/513236/2018/04/02/research/penn-state-developed-plant-disease-app-recognized-google">Penn State-developed plant-disease app recognized by Google</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 02 Jul 2018 15:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:duration>2560</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Amanda Ramcharan, Latifa Mrisho, and Peter McCloskey joined Daniel and Chris to talk about how Penn State University are collaborating to help African farmers increase their yields via a TensorFlow powered mobile app.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Amanda Ramcharan – <a href="http://amramcharan.com/">Website</a>, <a href="https://github.com/aramcharan">GitHub</a>, <a href="https://x.com/amram_1987">X</a></li><li>Latifa Mrisho – <a href="https://x.com/tifa_mrisho">X</a></li><li>Peter McCloskey – </li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://arxiv.org/abs/1805.08692">Assessing a mobile-based deep learning model for plant disease surveillance</a></li><li><a href="https://news.psu.edu/story/513236/2018/04/02/research/penn-state-developed-plant-disease-app-recognized-google">Penn State-developed plant-disease app recognized by Google</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/aramcharan" img="https://img.transistorcdn.com/DIPNRWhF6lYT2Ridl4x6j8hQlixT3F00oE8kH5x0h4A/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85OTI2/MjlhYzhiYzExNjVm/NzcyMzA5NDk2ODdk/YjYzMi5qcGc.jpg">Amanda Ramcharan</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/lmrisho" img="https://img.transistorcdn.com/0sFDnqnVPfCI9nnSpuaPHAxDCmcaQbCNjyIe71Xv5Yg/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81OTg0/MjM3ODMyMjE1YWFm/OGE4MmZmYmRjYzIy/YzkxNi5qcGc.jpg">Latifa Mrisho</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/petermccloskey" img="https://img.transistorcdn.com/s8TKZb6Dngn-v9OcQPsXMvfI8j3vXe7JoraKOfmblIg/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS81YTRi/MDZlOTI0YmQ4MmEz/M2UxMzIzZmFjMjMx/MDljNy5qcGc.jpg">Peter McCloskey</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
      <podcast:person role="Host" href="https://changelog.com/person/dwhitena" img="https://img.transistorcdn.com/d4MME7A1gRu51V8uC1oWmq3K3Rh82nxG-cd3ef6FEAU/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS84ZmQ2/ZWNkZTlhYmM1N2I5/MjU3NjIxOTVhOGNk/ZDIzYi5qcGc.jpg">Daniel Whitenack</podcast:person>
    </item>
    <item>
      <title>Putting AI in a box at MachineBox</title>
      <itunes:episode>2</itunes:episode>
      <podcast:episode>2</podcast:episode>
      <itunes:title>Putting AI in a box at MachineBox</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/547</guid>
      <link>https://share.transistor.fm/s/50e38a16</link>
      <description>
        <![CDATA[<p>Mat Ryer and David Hernandez joined Daniel and Chris to talk about MachineBox, building a company around AI, and democratizing AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Mat Ryer – <a href="http://matryer.com/">Website</a>, <a href="https://github.com/matryer">GitHub</a>, <a href="https://www.linkedin.com/in/matryer">LinkedIn</a>, <a href="https://x.com/matryer">X</a></li><li>David Hernandez – <a href="https://github.com/dahernan">GitHub</a>, <a href="https://x.com/dahernan">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://machinebox.io/">MachineBox</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1786468948">“Go Programming Blueprints” by Mat Ryer</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>Mat Ryer and David Hernandez joined Daniel and Chris to talk about MachineBox, building a company around AI, and democratizing AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Mat Ryer – <a href="http://matryer.com/">Website</a>, <a href="https://github.com/matryer">GitHub</a>, <a href="https://www.linkedin.com/in/matryer">LinkedIn</a>, <a href="https://x.com/matryer">X</a></li><li>David Hernandez – <a href="https://github.com/dahernan">GitHub</a>, <a href="https://x.com/dahernan">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://machinebox.io/">MachineBox</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1786468948">“Go Programming Blueprints” by Mat Ryer</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 02 Jul 2018 14:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
      <enclosure url="https://media.transistor.fm/50e38a16/a0c87509.mp3" length="32516648" type="audio/mpeg"/>
      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2704</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>Mat Ryer and David Hernandez joined Daniel and Chris to talk about MachineBox, building a company around AI, and democratizing AI.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Mat Ryer – <a href="http://matryer.com/">Website</a>, <a href="https://github.com/matryer">GitHub</a>, <a href="https://www.linkedin.com/in/matryer">LinkedIn</a>, <a href="https://x.com/matryer">X</a></li><li>David Hernandez – <a href="https://github.com/dahernan">GitHub</a>, <a href="https://x.com/dahernan">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://machinebox.io/">MachineBox</a></li></ul><p>Books</p><ul><li><a href="https://www.amazon.com/dp/1786468948">“Go Programming Blueprints” by Mat Ryer</a></li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
      <podcast:person role="Guest" href="https://changelog.com/person/matryer" img="https://img.transistorcdn.com/Qt61k9S2R9skOcvjJeaSZjMLefD-zzptNFd-3g8GlxY/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8yN2Q3/ZmQ3MWZmNWNlN2E1/MTg5MjNkMTMwN2Qw/MTA5NC5qcGc.jpg">Mat Ryer</podcast:person>
      <podcast:person role="Guest" href="https://changelog.com/person/dahernan" img="https://img.transistorcdn.com/XTNCt8Cv2Hz7gtVY9wx8pwRDU83cSwNAag1EpvSqWi4/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS8zZjgz/MTExNTg3ZTBjOTU2/MTY1YWIxZWI2NmVk/MzgzZC5qcGc.jpg">David Hernandez</podcast:person>
      <podcast:person role="Host" href="https://chrisbenson.com" img="https://img.transistorcdn.com/MY-GtguRq1Nz1Zs65Nc_A_nII1nsmPAflYA4aZKbT5k/rs:fill:0:0:1/w:800/h:800/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS85ZTRm/ODljMDI1YTgwMzRi/ZmZkMWY4NDYyOTA1/M2I5Ny5wbmc.jpg">Chris Benson</podcast:person>
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    <item>
      <title>Meet your Practical AI hosts</title>
      <itunes:episode>1</itunes:episode>
      <podcast:episode>1</podcast:episode>
      <itunes:title>Meet your Practical AI hosts</itunes:title>
      <itunes:episodeType>full</itunes:episodeType>
      <guid isPermaLink="false">changelog.com/7/514</guid>
      <link>https://share.transistor.fm/s/7565e5bb</link>
      <description>
        <![CDATA[<p>In this inaugural episode of Practical AI — Adam Stacoviak and Jerod Santo sit down with Daniel Whitenack and Chris Benson to discuss their experiences in Artificial Intelligence, Machine Learning, and Data Science and what they hope to accomplish as hosts of this podcast.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Adam Stacoviak – <a href="https://adamstacoviak.com/">Website</a>, <a href="https://github.com/adamstac">GitHub</a>, <a href="https://www.linkedin.com/in/adamstacoviak">LinkedIn</a>, <a href="https://changelog.social/@adam">Mastodon</a>, <a href="https://x.com/adamstac">X</a></li><li>Jerod Santo – <a href="https://github.com/jerodsanto">GitHub</a>, <a href="https://www.linkedin.com/in/jerodsanto">LinkedIn</a>, <a href="https://changelog.social/@jerod">Mastodon</a>, <a href="https://x.com/jerodsanto">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence">Symbolic artificial intelligence</a></li><li><a href="https://en.wikipedia.org/wiki/Deep_learning">Deep learning</a></li><li><a href="https://en.wikipedia.org/wiki/Machine_learning">Machine learning</a></li><li><a href="https://www.nvidia.com/en-us/gtc/">NVIDIA’s GPU Technology Conference (GTC)</a> - the premier AI and deep learning event from NVIDIA.</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </description>
      <content:encoded>
        <![CDATA[<p>In this inaugural episode of Practical AI — Adam Stacoviak and Jerod Santo sit down with Daniel Whitenack and Chris Benson to discuss their experiences in Artificial Intelligence, Machine Learning, and Data Science and what they hope to accomplish as hosts of this podcast.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Adam Stacoviak – <a href="https://adamstacoviak.com/">Website</a>, <a href="https://github.com/adamstac">GitHub</a>, <a href="https://www.linkedin.com/in/adamstacoviak">LinkedIn</a>, <a href="https://changelog.social/@adam">Mastodon</a>, <a href="https://x.com/adamstac">X</a></li><li>Jerod Santo – <a href="https://github.com/jerodsanto">GitHub</a>, <a href="https://www.linkedin.com/in/jerodsanto">LinkedIn</a>, <a href="https://changelog.social/@jerod">Mastodon</a>, <a href="https://x.com/jerodsanto">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence">Symbolic artificial intelligence</a></li><li><a href="https://en.wikipedia.org/wiki/Deep_learning">Deep learning</a></li><li><a href="https://en.wikipedia.org/wiki/Machine_learning">Machine learning</a></li><li><a href="https://www.nvidia.com/en-us/gtc/">NVIDIA’s GPU Technology Conference (GTC)</a> - the premier AI and deep learning event from NVIDIA.</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </content:encoded>
      <pubDate>Mon, 02 Jul 2018 13:00:00 -0400</pubDate>
      <author>Practical AI LLC</author>
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      <itunes:author>Practical AI LLC</itunes:author>
      <itunes:duration>2128</itunes:duration>
      <itunes:summary>
        <![CDATA[<p>In this inaugural episode of Practical AI — Adam Stacoviak and Jerod Santo sit down with Daniel Whitenack and Chris Benson to discuss their experiences in Artificial Intelligence, Machine Learning, and Data Science and what they hope to accomplish as hosts of this podcast.</p><p><br></p><p>Sponsors:</p><ul><li><a href="https://hired.com/practicalai">Hired</a> – <strong>Salary and benefits upfront? Yes please.</strong> Our listeners get <em>a double hiring bonus</em> of $600! Or, refer a friend and get a check for $1,337 when they accept a job. On Hired companies send you offers with salary, benefits, and even equity upfront. You are in full control of the process. Learn more at <a href="https://hired.com/practicalai">hired.com/practicalai</a>. </li><li><a href="https://rollbar.com/changelog">Rollbar</a> – <strong>We catch our errors before our users do because of Rollbar.</strong> Resolve errors in minutes, and deploy your code with confidence. Learn more at <a href="https://rollbar.com/changelog">rollbar.com/changelog</a>. </li><li><a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">Fastly</a> – <strong>Our bandwidth partner.</strong> Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at <a href="https://www.fastly.com/?utm_source=changelog&amp;utm_medium=podcast&amp;utm_campaign=changelog-sponsorship">fastly.com</a>. </li><li><a href="https://linode.com/changelog">Linode</a> – <strong>Our cloud server of choice.</strong> Deploy a fast, efficient, native SSD cloud server for only $5/month. Get 4 months free using the code changelog2018. Start your server - head to <a href="https://linode.com/changelog">linode.com/changelog</a></li></ul><p>Featuring:</p><ul><li>Daniel Whitenack – <a href="https://www.datadan.io/">Website</a>, <a href="https://github.com/dwhitena">GitHub</a>, <a href="https://x.com/dwhitena">X</a></li><li>Chris Benson – <a href="https://chrisbenson.com">Website</a>, <a href="https://github.com/chrisbenson">GitHub</a>, <a href="https://www.linkedin.com/in/chrisbenson">LinkedIn</a>, <a href="https://x.com/chrisbenson">X</a></li><li>Adam Stacoviak – <a href="https://adamstacoviak.com/">Website</a>, <a href="https://github.com/adamstac">GitHub</a>, <a href="https://www.linkedin.com/in/adamstacoviak">LinkedIn</a>, <a href="https://changelog.social/@adam">Mastodon</a>, <a href="https://x.com/adamstac">X</a></li><li>Jerod Santo – <a href="https://github.com/jerodsanto">GitHub</a>, <a href="https://www.linkedin.com/in/jerodsanto">LinkedIn</a>, <a href="https://changelog.social/@jerod">Mastodon</a>, <a href="https://x.com/jerodsanto">X</a></li></ul><p>Show Notes:</p><ul><li><a href="https://en.wikipedia.org/wiki/Symbolic_artificial_intelligence">Symbolic artificial intelligence</a></li><li><a href="https://en.wikipedia.org/wiki/Deep_learning">Deep learning</a></li><li><a href="https://en.wikipedia.org/wiki/Machine_learning">Machine learning</a></li><li><a href="https://www.nvidia.com/en-us/gtc/">NVIDIA’s GPU Technology Conference (GTC)</a> - the premier AI and deep learning event from NVIDIA.</li></ul><p>Upcoming Events: </p><ul><li>Register for <a href="https://practicalai.fm/webinars">upcoming webinars here</a>!</li></ul>]]>
      </itunes:summary>
      <itunes:keywords>changelog, ai, machine learning, deep learning, artificial intelligence, neural networks, computer vision</itunes:keywords>
      <itunes:explicit>No</itunes:explicit>
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