Pre-deployment evaluation — golden datasets, automated scoring, regression testing for LLM applications.
Five passes over the same idea, each from a different angle. Do them in order, or jump to whichever you need.
Offline evaluations run before deployment against curated datasets. Key approaches: golden test sets with expected outputs, LLM-as-judge scoring, BLEU/ROUGE metrics, semantic similarity, and custom rubrics. CI integration ensures no regressions. Offline evals catch quality issues before they reach users.
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