Dev Tools · 20h ago
How to Build Production-Grade LLM Evaluation Pipelines
A team shares how they replaced manual 'vibe checks' with an automated pipeline that catches 92% of hallucinations before deployment. The system uses domain-specific judges, CI/CD integration, and regression detection. It includes a golden dataset and a judge ensemble for faithfulness and instruction following.
Meridian48 take
The article offers practical code and architecture, but the 92% figure lacks context on false positives and real-world deployment scale.
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Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics →
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