Hallucinations occur when AI generates false or misleading information, often due to gaps in training data or overconfidence in predictions. They are used to test model limitations and improve accuracy. Developers, researchers, and businesses benefit by identifying flaws, refining algorithms, and ensuring reliable outputs for critical applications like healthcare and law.
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