The original title is "Building Production-Grade LLM Evaluation Pipelines: From Vibes to Metrics"

Short summary

A practical guide to building production-grade LLM evaluation pipelines, motivated by a real incident where a RAG support assistant hallucinated policies to 500+ users. Covers domain-specific judge ensembles (faithfulness, instruction following, JSON schema validation, safety, domain expert), golden dataset management, and CI/CD integration to block merges that degrade quality. The system catches 92% of hallucinations before deployment.

• •Real-world post-mortem: RAG assistant hallucinated to 500+ users with zero automated evaluation
• •Judge ensemble architecture with five evaluator types and configurable thresholds
• •CI/CD integration blocks merges that degrade LLM quality, catching 92% of hallucinations pre-deployment

Generated with AI, which can make mistakes.