Unverified60% confidenceFactExact time
The core mechanism of large model inference is the continuous prediction of the probability of the next word, converting raw scores into a probability distribution summing to 1 via the Softmax function.
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60%
Confidence
Long-term
Relevance
7/22/2026
First Seen
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Related Claims
Unverified模型对所有Token计算原始得分Logit后，通过Softmax函数将得分归一化为概率分布，所有Token的概率之和等于181% similarVerifiedThe core mechanism of large model inference is probability-based Next Token Prediction, generating complete output word by word.81% similarUnverifiedLLM在每个生成步骤输出的是词汇表上的完整概率分布，通常通过softmax函数计算79% similarVerifiedLarge language models are fundamentally performing probabilistic predictions of the next most likely token in a sequence.79% similarUnverifiedEach of Jev's answers comes with a confidence probability, which is essentially the softmax output value of the model for each option.77% similar
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