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.
Artificial intelligence
AI Demystified Book by Antonio Weiss
Pearson FT published AI Demystified offers a gentle introduction for business leaders who want to understand how AI might impact their field.
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.
Synthesising a new framework for AI Transformation
I like bits of Brunig's and Mollick's AI frameworks, but neither quite works for me.
Error Analysis for Improving LLM Applications
A systematic approach to analysing and improving large language model applications through error analysis.