Dev Tools · 20h ago
Build Production-Grade LLM Evaluation Pipelines to Catch Hallucinations
A team shares how they replaced manual 'vibe checks' with automated evaluation, catching 92% of hallucinations before deployment. The pipeline uses domain-specific judges, CI/CD integration, and golden dataset management. It blocks merges that degrade quality and provides regression detection.
Meridian48 take
The article offers practical architecture for LLM evaluation, but the 92% figure needs independent verification and may not generalize across all use cases.
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Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics →
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llm-evaluationhallucination-detection