Let your LLM say I don't know instead of guessing

<p>Your user asks a factual question. The model returns a polished paragraph. Nothing in the stack threw an error. That is exactly when you are most exposed. A language model generates the most plausible next words, not the most true ones, so a wrong answer can look identical to a right one. That mechanism is what people call <a href="https://chainofthought.show/glossary/ai-hallucination/" rel="no

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