EXPLORE THE TAG
Measuring and managing the risk of unsupported LLM answers: build test questions and labeling rules, examine results by slice, then use release gates, staged rollout, monitoring and rollback to manage remaining production risk.
Showing · #AI Safety
To evaluate an LLM application for hallucinations, test it on real questions with agreed reference answers, check every claim against its sources, score retrieval and answers separately and read the results by slice, not as one average.
Testing cannot remove hallucinations entirely, so production safety depends on what surrounds each release: a gate agreed in advance, staged rollout, monitoring of live answers, incident containment and a rehearsed rollback.
