Tag Archives: Model Reliability

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Hallucinations and Accuracy – A Structural Limitation

LLMs can produce false but convincing statements because they aim to appear plausible, not to tell the truth. The phenomenon of hallucination in large language models represents not a bug to be fixed, but a fundamental characteristic that emerges from the optimization objective itself. When we train...

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