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.
Notes from lesson 5 of Hamel and Shreya's LLM evaluation course - evaluating retrieval quality, generation quality, and common pitfalls in RAG systems.
Swyx argues for 2025-2035 as the decade of AI agents, backed by unprecedented infrastructure investment and converging technical definitions.
Notes from lesson 4 of Hamel and Shreya's LLM evaluation course - handling multi-turn conversations and building evaluation criteria through collaboration.
How Isaac Flath built a medical flashcard annotation tool for AnkiHub using FastHTML, and why custom annotation tools beat generic ones for complex domains.
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.
Three thigns I learned about voice agent architecture, context limitations, and latency trade-offs.