Unverified50% confidenceFactExact time
The Softmax function converts a set of real numbers into a probability distribution, computed by exponentiating each value and then dividing by the sum of all exponentiated values, ensuring the outputs are positive and sum to 1.
1
Sources
50%
Confidence
Long-term
Relevance
10/12/2026
First Seen
Sources
Related Entities
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180% 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73% similarUnverifiedThe 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.70% similarUnverifiedSmoothQuant (2022) smoothly transfers outliers in activations to weights through a mathematically equivalent transformation, enabling both activations and weights to be quantized using INT8.68% similarUnverifiedNext-word prediction and multi-class classification are highly similar in mathematical form, with the softmax output layer serving both.66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1010199API
curl https://kongchang.com/api/v1/knowledge/claims/1010199MCP
get_claim(id=1010199)