Introduction Hallucination in large language models (LLMs) refers to the generation of information that is factually incorrect, misleading, or fabricated. Despite their impressive capabilities in generating coherent and contextually relevant text, LLMs sometimes produce outputs that diverge from reality. This article explores the concept of hallucination in LLMs, its causes, implications, and potential solutions. What […]
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