In AI, the hallucination problem occurs when models generate confident but false or nonsensical information. It is used to assess reliability in chatbots, content generation, and research tools. Developers, data scientists, and businesses benefit by identifying flaws to improve accuracy, reduce misinformation, and build trust in AI-driven systems.
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