Hallucination mechanisms refer to the cognitive or AI processes that generate false perceptions or outputs without external stimuli. In artificial intelligence, they describe how large language models fabricate plausible-sounding but inaccurate information. Developers use these insights to debug models and improve reliability, while researchers study them to understand human cognition. Ultimately, AI safety teams and users benefit by building more trustworthy systems.
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