Large language models (LLMs), specified as chatbots driven by generative AI, are occasionally prone to generating false information, a phenomenon known as AI hallucination. This occurs erstwhile the model identifies erroneous patterns or fabricates data entirely, possibly due to flawed training data, misinterpretation of input, or deficiency of clear logic in its response. In essence, the LLM provides a hallucinated answer.
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