LLM evaluation

LLM evaluation is the practice of measuring how well a language model or AI feature performs on defined tasks, using datasets, automated metrics and human review. In QA it works like regression testing for AI: run the same evals on every change and block releases that score worse.

Read the full guide: How to Test LLM Applications 2026 — Complete Guide for QA Engineers