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Large Language Model Hallucinations: Causes, Consequences, and Mitigation Strategies
Large language models, while convenient, frequently produce hallucinations—fabricating information or contradicting input. This issue manifests in factual errors and context inconsistencies, affecting reliability and highlighting the need for user verification. A study revealed error rates of 30-90%...
Large Language Model Hallucinations: Causes, Consequences, and Mitigation Strategies
Large language models, while convenient, frequently produce hallucinations—fabricating information or contradicting input. This issue manifests in factual errors and context inconsistencies, affecting reliability and highlighting the need for user verification. A study revealed error rates of 30-90%...
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