Multi-Model Consensus LLM Evaluation: Near-Human Hallucination Detection at Sub-50ms Production Latency

Galileo AI·medium signal

Production agent monitoring pipelines now run multiple LLM judges in parallel to evaluate hallucination, factuality, and contextual appropriateness — achieving near-human accuracy where single-judge approaches fall short due to model-specific biases. Reliability is validated using Cronbach's alpha across multiple independent runs targeting 0.80+ Spearman correlation with human evaluators before deployment. The multi-model consensus approach operates at sub-50ms latency impact, making real-time inline evaluation of live agent traffic operationally viable at scale.