Building Production ML Systems: MLOps Best Practices
Master the complete ML lifecycle from data engineering to model serving and monitoring in production
Complete guide to AI, machine learning, LLMs, and data science - from fundamentals to production systems
Master artificial intelligence, machine learning, large language models, and data science. From beginner foundations to production MLOps systems.
New to AI? Start with these foundational guides:
Create content with AI:
Understand how AI transforms different sectors:
Build intelligent agent systems:
Master LLM technologies:
Build production-grade ML systems:
Implement semantic search and RAG systems:
Build real-time prediction systems:
Run ML models in web browsers:
Essential tools and frameworks:
Core ML concepts and mathematics:
Start โ Building Real-Time AI Chat Applications โ Running AI Models in the Browser
Start โ Building Production ML Systems โ Model Deployment โ Real-time Inference
Start โ ML Fundamentals โ Fine-tuning LLMs โ Real-time Features
Start โ AI Across Industries โ AI in Your Domain โ Best AI Tools
Master the complete ML lifecycle from data engineering to model serving and monitoring in production
Master cost-effective fine-tuning of LLMs including parameter-efficient methods, distributed training, and optimization strategies
Comprehensive analysis comparing fine-tuning and prompt engineering for LLM applications. Learn when to invest in custom models vs optimize prompts.
Compare and implement vector databases for semantic search, RAG, and similarity matching at scale
Master advanced prompt engineering techniques to maximize LLM performance, quality, and cost efficiency
Deploy machine learning models at scale using TensorFlow Serving, TorchServe, and KServe with production-grade reliability
Optimize ML inference for real-time applications with sub-100ms latency at scale
Comprehensive guide comparing major LLM API providers across text, video, and audio modalities. Includes pricing breakdowns, capability analysis, and decision frameworks to help you choose the right AI service for your project.
Explore the best AI code generation tools for developers. Compare GitHub Copilot, Cursor, Claude Code, and more. Learn integration strategies and productivity tips.
Learn about AI safety principles, alignment techniques, risk mitigation, and how to build trustworthy AI systems that benefit humanity.
Learn how to build production-ready AI agents using LangGraph, implement state management, tool use, and complex workflow orchestration.
Learn how to fine-tune large language models for specific tasks. Cover LoRA, QLoRA, full fine-tuning, dataset preparation, and production deployment strategies.
Master advanced RAG patterns including hybrid search, reranking, query transformation, and multi-modal retrieval. Build production-ready AI systems with accurate, contextual responses.
Comprehensive guide to AI code editors - learn how Cursor, Windsurf, and other AI-powered IDEs work, features, pricing, and how to maximize your productivity with AI-assisted coding.
Comprehensive guide to AI-powered code review tools - learn about Devin, automated code review, GitHub Copilot Review, and how to integrate AI code review into your workflow.
Comprehensive guide to deep research AI agents - learn how systems like Manus, Claude Research, and Perplexity Deep Research work, architecture patterns, and how to build your own research automation.
Comprehensive guide to MCP (Model Context Protocol) - the new standard for connecting AI agents to tools, data sources, and applications. Learn server implementation, client patterns, and production deployment.
Comprehensive guide to multi-agent AI systems - learn agent architectures, communication protocols, collaboration patterns, and production implementation with AutoGen, CrewAI, and custom frameworks.
Complete comparison of LLM APIs: OpenAI, Anthropic, and open-source models. Learn pricing, performance, capabilities, and choosing the right model for your use case.
Master vector search at scale for semantic search. Learn embedding generation, vector databases, similarity search, and building production-grade semantic search systems.
Master AI pair programming in your terminal. Learn to use Claude Code, GitHub Copilot CLI, Ollama, and local LLMs for enhanced coding productivity.
Master local AI coding with GPT4All, LM Studio, and local IDE integrations. Run coding assistants offline, maintain privacy, and eliminate API costs.
Master external tool integration for AI agents. Learn how to connect Google Drive, Gmail, Dropbox, PDF, Calendar, and Ecommerce APIs to build powerful autonomous systems.
Discover why 2026 is the year of AI agents. Learn the fundamental difference between stateless LLM calls and stateful AI agents that can plan, use tools, and iterate on their work.
ideas and thinking about AI and LLMs, World Models
Explore how SAT solvers tackle AI planning problems and how modern LLMs with reasoning capabilities evolved from classical symbolic approaches. Understand the bridge between logic and neural networks.
A comprehensive guide to AI-powered coding in the terminal, exploring tools, workflows, and best practices for developers seeking efficiency and productivity.
Explore how Agentic AI is transforming industries with autonomous decision-making, real-world use cases from eBay to Uber, market projections to $199B by 2034, and best practices for enterprise adoption.
Explore how Agentic AI is transforming enterprises by enabling autonomous, goal-driven systems that act independently across IT, HR, finance, and more. Discover key trends, real-world use cases, adoption challenges, and the path to a $1 trillion market by 2040.
A comprehensive guide to the top agentic AI frameworks for building autonomous agents, with code examples, use cases, and comparisons to help developers choose the right tool.
A practical, technical guide to running open-source LLMs on CPU-only machines and small GPU servers โ tools, trade-offs, and quick-starts for startups.
A comprehensive guide to Search Engine APIs for building agentic AI systems, including Google Custom Search, Bing Web Search, Brave Search, SerpAPI, and Serper.dev with practical integration examples.
A comprehensive guide to learning agentic AI from foundational concepts to practical implementation. Learn the complete learning path, key concepts, resources, and strategies for integrating agentic AI into your products.
Master vibe codingโthe intent-driven approach to software development. Learn tools, workflows, and best practices for building apps with AI, whether you're a developer or complete beginner.
A practical introduction to Agentic AI: definitions, architecture, capabilities, use cases, risks, and best practices for builders and decision makers.
How to build production-ready recommendation systems using vector search: embeddings, indexes, vector DBs, evaluation, and optimization.
Compare leading AI agent frameworks - AutoGPT, LangChain, and CrewAI. Learn how to build autonomous agents, multi-agent systems, and implement agentic workflows.
Master AI model compression techniques including quantization, pruning, and knowledge distillation. Learn how to reduce model size while maintaining accuracy for efficient deployment.
Master AI agent architecture and autonomous systems. Learn how to build agents that can use tools, make decisions, and operate independently in production.
Complete guide to building production-grade LLM applications. Learn Retrieval-Augmented Generation (RAG), fine-tuning strategies, deployment patterns, and real-world implementation.
Compare leading data labeling platforms - Label Studio, Scale AI, and Snorkel. Learn about annotation workflows, active learning, and programmatic labeling for ML training data.
Compare feature store solutions for MLOps - Feast, Tecton, and Redis. Learn about offline/online stores, feature computation, and serving features for ML models in production.
Complete guide to optimizing LLM inference costs. Learn token reduction strategies, model selection, caching, batching, and real-world cost reduction techniques.
Master LLM fine-tuning techniques including LoRA, QLoRA, and RLHF. Learn how to efficiently adapt large language models with minimal computational resources.
Build comprehensive monitoring for LLM systems. Learn quality metrics, drift detection, cost tracking, and production observability for large language models.
Comprehensive guide to LLM security threats including prompt injection attacks, data privacy concerns, model poisoning, and defense strategies. Includes real-world examples and mitigation techniques.
A comprehensive comparison of leading MLOps platforms - MLflow, Kubeflow, and Weights & Biases. Learn when to use each tool for experiment tracking, model registry, and ML pipelines.
Compare leading LLM serving solutions - Triton Inference Server, vLLM, and Text Generation Inference. Learn about throughput optimization, batching strategies, and production deployment.
Compare leading LLM serving solutions - Triton Inference Server, vLLM, and Text Generation Inference. Learn about throughput optimization, batching strategies, and production deployment.
Master multi-model orchestration strategies for production systems. Learn how to combine GPT-4, Claude, Llama, and open source models for optimal cost, performance, and reliability.
Master production-grade prompt engineering techniques, prompt versioning, A/B testing, and optimization strategies for large-scale LLM deployments. Includes real-world examples and cost optimization.
Master advanced prompt engineering techniques including Chain of Thought, ReAct, and Tree of Thoughts. Learn how to structure prompts for complex reasoning and improved LLM outputs.
Learn how to evaluate Retrieval-Augmented Generation systems using RAGAs, TruLens, and Helicone. Measure retrieval quality, answer accuracy, and optimize your RAG pipeline.
Compare leading vector databases for AI applications - Pinecone, Milvus, and Qdrant. Learn about vector search, embeddings, and which database fits your RAG and semantic search needs.
Comprehensive guide to AI audio and voice tools. Discover the best platforms for transcription, text-to-speech, voice cloning, audio enhancement, and music generation.
Comprehensive comparison of leading AI image generation tools. Evaluate DALL-E 3, Midjourney, Stable Diffusion, Adobe Firefly, and others to choose the right platform for your needs.
Comprehensive guide to AI predictive analytics for business. Learn how to leverage machine learning for sales forecasting, customer behavior prediction, risk management, and strategic decision-making.
Explore how AI search engines are revolutionizing information discovery. Learn what they are, how they differ from traditional search, key features, current examples, and their impact on the future of online search.
Comprehensive guide to AI tools for academic writing. Discover tools for research, writing assistance, citation management, plagiarism detection, and editing to enhance your academic workflow.
Comprehensive guide to AI video generation tools. Compare leading platforms for text-to-video, image animation, and video editing to enhance your content creation workflow.
Comprehensive guide to popular AI tools across chatbots, image generation, video processing, and audio tools. Discover the best AI applications for work and creativity.
Explore how logical reasoning enables explainable AI systems, techniques for generating explanations, and the role of logic in AI transparency.
Comprehensive guide to knowledge graphs, exploring how to build and reason over large-scale structured knowledge for AI applications.
Explore neuro-symbolic AI systems that combine neural networks with symbolic reasoning, enabling both learning and interpretability.
Explore how large language models perform reasoning tasks, chain-of-thought prompting, and the logical capabilities and limitations of LLMs.
A comprehensive guide to dataset preparation, training processes, and deployment strategies for custom language models
A comprehensive guide to building production-ready LLM applications using chains, agents, tools, and memory patterns in LangChain and LlamaIndex
A comprehensive guide to real-time machine learning features and their applications in predictions, recommendations, and personalization systems
A comprehensive guide to deploying and serving Large Language Models using CPU infrastructure, including optimization techniques, performance considerations, and production strategies
Discover how artificial intelligence is transforming every industry from healthcare to manufacturing. Learn what AI can do, who can use it, why we need it, and how it's creating competitive advantages across sectors.
Comprehensive guide to AI agents, AutoGPT, and workflow automation. Learn core concepts, practical implementations, code examples, and best practices.
Comprehensive analysis of AI applications in finance, exploring algorithmic trading and fraud detection technologies reshaping financial services and market operations.
Balanced analysis of AI applications in healthcare, examining transformative opportunities and significant implementation challenges facing the medical industry.
Explore how artificial intelligence is revolutionizing medical practice through diagnostics, drug discovery, personalized treatment, and clinical decision support. Understand the benefits, challenges, and future of AI in healthcare.
A comprehensive guide to AI applications in legal practice, covering document review, legal research, contract analysis, e-discovery, and predictive analytics. Explore benefits, challenges, ethical considerations, and the future of AI in law.
Learn how to create professional AI-generated videos. Complete guide covering tools, techniques, best practices, and ethical considerations for video creation.
Comprehensive guide to open source AI models including Llama, Mistral, and Falcon. Compare specifications, use cases, and implications for the AI ecosystem.
Learn how to create responsive AI chat interfaces using JavaScript, Server-Sent Events (SSE), and modern LLM APIs.
A comprehensive guide to running large language models locally on your machine using Ollama and Open WebUI for privacy, cost savings, and complete control
A comprehensive guide to running AI models directly in web browsers using WebGPU and WebNN APIs. Learn how to leverage GPU acceleration and neural network APIs for client-side machine learning.
A comprehensive guide for beginners to start their journey in artificial intelligence and machine learning. Learn the essential skills, tools, and resources to build a career in AI.
A comprehensive guide to the best and most popular AI tools in 2025 across all categories including text generation, image creation, video editing, development, design, academic research, legal work, and more.
Explore the latest developments in Rust for AI and machine learning in 2025, including new libraries, performance improvements, and real-world applications.
A comprehensive guide on effective methodologies for mastering mathematics, emphasizing understanding, intuition, and practical application
Deep dive into reasoning models like DeepSeek V3.2, OpenAI o3. Learn about chain-of-thought, test-time compute, and how to leverage these models for complex tasks.
gpu install and setup
The core and summary of data analysis
A practical guide to command-line tools and utilities for computer vision and audio processing.
Data visualization principles and tools
A practical guide to learning math with confidence, inspired by Stanford's open course and personal experience.
Understanding Logistic Regression for classification tasks
Internet Public Data for Data Analysis
Reinforcement Learning Bellman equations
A comprehensive list of statistics courses and resources from top universities and platforms.
A curated list of essential machine learning tools and libraries.
A collection of online math tools, calculators, and resources useful for machine learning and data science.
Practical examples of using Numpy for array and matrix operations in Python.