Hallucination detection identifies when AI generates false or misleading information. It works by cross-referencing outputs with verified data sources or using confidence scoring. Developers, researchers, and businesses deploying large language models benefit by ensuring reliability, reducing misinformation risks, and maintaining user trust in automated systems.
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