Product Evals in Three Simple Steps
Read OriginalThis technical article outlines a three-step framework for evaluating LLM products: 1) labeling a small dataset with binary pass/fail or win/lose/tie labels, 2) aligning LLM evaluators with this human-labeled data, and 3) running experiments with an evaluation harness for each configuration change. It provides practical advice on dataset creation, label types, and the importance of focusing on failure cases.
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