TLDR Web Dev · MISCELLANEOUS

FREQUENTLY ASKED QUESTIONS (AND ANSWERS) ABOUT AI EVALS

hamel.dev30 min read

Summary from the TLDR Web Dev newsletter

This is a comprehensive overview of how to evaluate LLMs, with practical advice and opinions. For example, it's better to build custom annotation tools for faster iteration instead of using off-the-shelf options. Also, it's better to use binary pass/fail evaluations over Likert scales for clearer LLM thinking.