Use a combination of: automated metrics (BLEU/ROUGE for summarisation, pass@k for code), LLM-as-judge (a second model scores outputs against a rubric), human preference rating, and task-specific golden-set tests. Track all three over time — no single metric is sufficient. Log all production inputs/outputs for offline analysis.
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Jun 9, 2026 3:23:57 PM
Jun 9, 2026 3:23:57 PM
How do I evaluate LLM outputs reliably?
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