
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.
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.
How to connect Chrome DevTools to your FastHTML applications for fast CSS and HTML debugging and iteration during development.
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.
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.