Verified80% confidenceFactTime unknown
Large language models are based on the Transformer architecture, and their output is essentially a probabilistic sampling process, with the Temperature parameter controlling the randomness of sampling.
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6/1/2026
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Unverified大语言模型输出的非确定性源于 Transformer 解码阶段的随机采样机制，采样温度、Top-P 等参数决定每次生成内容可能不同82% similarVerifiedThe randomness of AI large language model outputs stems from the temperature parameter and sampling strategy; when generating each token, the model is essentially performing probabilistic sampling.80% similarVerifiedLarge language models are essentially probability prediction systems based on the Transformer architecture, generating text by predicting the next most likely word.77% similarVerifiedWhen a large language model generates each token, it samples from a probability distribution; the temperature parameter controls the degree of randomness—higher temperature produces more diverse outputs, while lower temperature produces more deterministic ones.77% similarVerifiedCurrent mainstream large language models are essentially probabilistic prediction systems based on the Transformer architecture, generating content by predicting the next most likely token.77% similar
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