LLM evaluation: evals that catch regressions, and when to trust LLM-as-a-judge
Without evals, every prompt change is a guess. You fix the example in front of you and quietly break three you aren't looking at. An eval set turns that guess into a number you can watch. Start from real failures The best eval cases come from real inputs, especially the ones that went wrong. Collec…
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- 2026-10-16 06:59 · DEV Community — Machine Learning
LLM evaluation: evals that catch regressions, and when to trust LLM-as-a-judge