
LLM Evals Course Lesson 4: Multi-turn and Collaborative Evaluation
Notes from lesson 4 of Hamel and Shreya's LLM evaluation course - handling multi-turn conversations and building evaluation criteria through collaboration.
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.
A few things from Evals Course office hrs following lesson 2 of Hamel and Shreya's LLM evaluation course.
Pearson FT published AI Demystified offers a gentle introduction for business leaders who want to understand how AI might impact their field.