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Hallucinations in large language models are often blamed on bad data. But the deeper issue may be the architecture itself. These systems are designed to predict the most plausible next word, not to verify truth. If hallucinations are part of the design, the real challenge is learning where and how we can safely rely on them. https://t.co/c0OLuQ0M8y @TDataScience
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