How to Build AI Products That Work | LLM Evaluation Guide

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Build AI that works. In this video I show a practical, use-case-driven approach to LLM evaluation: error analysis, open/axial coding, binary pass/fail checks, when to use code evaluators vs LLM-as-judge - so your product meets real user goals and avoids costly failures.

Useful resources
Great blog about LLM Evals: https://hamel.dev/

Beyond Naive RAG: Practical Advanced Methods https://www.dropbox.com/scl/fi/t8d59wupeeb3bdldhbq6o/Beyond-Naive-RAG-Practical-Advanced-Methods.pdf?rlkey=y0aawyxocpadmq461h752xrg0&e=1&st=79ss1un4&dl=0

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