LLM Evals Course Lesson 6: Complex Pipelines and CI/CD
Notes from lesson 6 of Hamel and Shreya's LLM evaluation course - debugging agentic systems, handling complex data modalities, and implementing CI/CD for production LLM applications.
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LLM Evals Course Lesson 5: How to Evaluate Complex Architectures
Notes from lesson 5 of Hamel and Shreya's LLM evaluation course - evaluating retrieval quality, generation quality, and common pitfalls in RAG systems.
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Swyx argues for 2025-2035 as the decade of AI agents, backed by unprecedented infrastructure investment and converging technical definitions.
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LLM Evals Course Lesson 3: Building Automated Evaluators
Notes from lesson 3 of Hamel and Shreya's LLM evaluation course - implementing automated evaluators, building reliable LLM-as-judge systems, and avoiding common pitfalls.
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LLM Evals Lesson 2 Error Analysis
Notes from lesson 2 of Hamel and Shreya's LLM evaluation course - covering error analysis, open and axial coding, and systematic approaches to understanding where AI systems fail.