A hallucination occurs when an AI model generates information that sounds plausible but is factually incorrect, fabricated, or unsupported by its training data. Hallucinations are a fundamental challenge in language models because they produce confident-sounding text regardless of whether the underlying facts are accurate.
When asked "Who wrote the novel 'The Silicon Path'?", the model might confidently respond with a specific author name, publication date, and plot summary for a book that does not actually exist.
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