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.
Machine learning
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.
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.
LLM Evals Course: Lesson 2b (office hrs)
A few things from Evals Course office hrs following lesson 2 of Hamel and Shreya's LLM evaluation course.
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.
Hamel & Shreya's LLM Evals Course: Lesson 1
Notes from the first lesson of Parlance Lab's Maven course on evaluating LLM applications - covering the Three Gulfs model and why eval is where most people get stuck.