Verified65% confidenceFactExact time
Setting the temperature parameter too high in decoding strategies leads to increased sampling randomness, which is associated with hallucination generation
3
Sources
65%
Confidence
Long-term
Relevance
8/12/2026
First Seen
Sources
Related Claims
UnverifiedSimply increasing the temperature parameter carries the risk of logical incoherence and factual errors.77% similarVerifiedThe lower the Temperature parameter, the more it tends to select the highest-probability words for more conservative output; the higher it is, the more creative the output but the more prone to hallucinations.74% similarUnverifiedAn LLM outputs a probability distribution when generating each word, and the higher the temperature the more random the sampling; even if two assistants recall the same information sources, different temperature settings can lead to different wording or even a different order of companies mentioned.74% similarVerifiedLarge model outputs are stochastic (controlled by the Temperature parameter), so a single comparison is not conclusive and requires multiple sampling and statistical comparisons.73% similar
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