Hallucination

Hallucination is the AI industry's term for outputs generated by a large language model that are factually incorrect, fabricated, or unsupported by the model's training data or provided context — but are presented in confident, fluent, plausible-sounding form. Hallucinations are a fundamental property of how generative language models operate: the models are trained to produce probable continuations of text, not to verify factual claims, and they will produce confident continuations even when the underlying training data is sparse or absent.

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