A developer encountered issues with a language model summarizing support tickets incorrectly but confidently, highlighting the challenge of evaluating models on edge cases not covered in typical benchmarks. To mitigate this, the developer constrained the output structure to discrete claims verifiable by a second model and added deterministic checks for factual accuracy, significantly reducing hallucinations in production outputs.
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