Unverified50% confidenceFactExact time
语言建模将一段文本的联合概率分解为每个词在其前文条件下的条件概率之积
1
Sources
50%
Confidence
Long-term
Relevance
7/14/2026
First Seen
Sources
Prompt中一个词如何左右AI输出：可能性之井原理解析
Related Claims
UnverifiedWhen generating each token, large language models perform probabilistic sampling over all possible next words in the vocabulary, rather than deterministically selecting a unique answer.83% similarVerifiedThe essence of large language models is learning the conditional probability distribution of what the next word is given the preceding text83% similarUnverifiedLarge language models generate text in an autoregressive manner, where the production of each token depends on the context formed by all preceding tokens, following the chain rule of probability.79% similarUnverified大语言模型是概率性、随机性的，它根据之前出现的词元来预测下一个词元75% similarUnverifiedN-gram统计语言模型通过相邻词的条件概率捕捉局部上下文，受限于固定窗口大小，无法处理长距离依赖，参数量随词汇表指数膨胀73% similar
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