Dev Tools · 11h ago
Build Production LLM Eval Pipelines to Catch 92% of Hallucinations
A team replaced manual 'vibe checks' with automated LLM evaluation pipelines, catching 92% of hallucinations before deployment. The system uses domain-specific judges, golden datasets, and CI/CD integration to detect regressions. It blocks merges that degrade quality, preventing incidents like the one where 500+ users saw hallucinated responses.
Meridian48 take
The article offers practical architecture for LLM evaluation, but the 92% figure likely depends on specific use cases and may not generalize.
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Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics →
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