Unverified50% confidenceOpinionExact time
调高Temperature只是在概率分布中引入更多噪声，更接近随机性而非真正的创造性
1
Sources
50%
Confidence
Long-term
Relevance
8/4/2026
First Seen
Sources
Related Claims
UnverifiedIn few-shot prompting, simply changing the order of examples can cause dramatic fluctuations in accuracy, ranging from near-random to near-optimal.74% 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.72% similarUnverifiedSetting the temperature parameter too high in decoding strategies leads to increased sampling randomness, which is associated with hallucination generation72% similarVerifiedThe results of AI image expansion differ each time, and this randomness stems from the diffusion model starting from different random noise each time71% similarUnverifiedThe higher the temperature parameter, the flatter the probability distribution output by Softmax, and the more creative and diverse the output; the lower the temperature, the sharper the distribution and the more deterministic and conservative the output.69% similar
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