From the source
This document curates the most common questions Shreya and I received while teaching 700+ engineers & PMs AI Evals. Warning: These are sharp opinions about what works in most cases. They are not universal truths. Use your judgment.
LLM Evals: Everything You Need to Know – Hamel’s Blog
Hamel’s guide to LLM evaluations emphasizes that effective evaluation is a continuous development process, beginning with rigorous error analysis performed by domain experts. It advocates for identifying and prioritizing real-world failure modes in application traces, using pragmatic binary pass/fail judgments. The article recommends integrating evaluation as a core part of development, focusing on understanding actual failures rather than solely optimizing for high pass rates.
