🤖 How to evaluate LLMs before production

Practical LLM evaluation lessons from GitHub secret scanning: define product goals and guardrails first, treat offline evaluation as repeatable integration testing, keep eval data close to production, audit labels, use error analysis, and apply LLM-as-judge for human review triage.

https://github.blog/ai-and-ml/llms/how-to-evaluate-llms-before-production

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