A hallucination is an AI response that is plausible but factually wrong, produced with confidence by the model.
We speak of a hallucination when a model generates invented information while presenting it as true. The text seems credible, but it rests on no reliable source.
This phenomenon stems from how LLMs work, predicting a likely sequence of words without checking the truth of their statements.
RAG, human review and well-designed prompts help to sharply reduce the risk of hallucination.
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