Dev Tools · 5h ago
Automated LLM Evaluation Pipeline Catches 92% of Hallucinations
A team built a production-grade evaluation pipeline for LLMs after a RAG-based customer support assistant hallucinated responses to 500+ users. The pipeline uses domain-specific judges, CI/CD integration, and golden datasets to catch 92% of hallucinations before deployment. It replaces manual 'vibe checks' with automated regression detection and metric tracking.
Meridian48 take
The 92% hallucination catch rate is impressive, but the real value is in the CI/CD integration that blocks degraded merges—a pattern every LLM team should adopt.
Read the full reporting
Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics →
DEV Community
llm-evaluationhallucination-detection