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      <title>Critical batch-size in deep learning</title>
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      <pubDate>Wed, 01 Nov 2023 11:30:03 +0000</pubDate>
      
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      <description>What batch-size should you use for your model? What does the batch-size tell you about your task? This post discusses one main aspects of the scaling law.</description>
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      <title>Mixture of Experts (MoE)</title>
      <link>https://scale-ml.org/posts/moe.html</link>
      <pubDate>Wed, 04 Oct 2023 11:30:03 +0000</pubDate>
      
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      <description>MoE are rumored to be a critical components in scaling up to a trillion parameter model. By routing tokens to specialized modular functions, it enables models to have representational power of a much larger model than what is used for prediction. We will be discussing how MoE works and its recent advances in this literature</description>
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      <title>Speculative decoding</title>
      <link>https://scale-ml.org/posts/speculative-decoding.html</link>
      <pubDate>Wed, 13 Sep 2023 00:00:00 +0000</pubDate>
      
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      <description>A brief overview of speculative decoding, detailing the roots of LLM inference slowdowns and how algorithmic level changes can improve generation speed!</description>
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