Unverified50% confidenceFactExact time
模型基于前文预测后文，Prompt中任何一个字的变化都会改变后续生成概率，而标点符号的影响权重较小
1
Sources
50%
Confidence
Long-term
Relevance
7/9/2026
First Seen
Sources
提示词工程实战：程序员的Prompt调优核心方法论
bilibili大模型Agent搭建7/1/2026
Related Claims
Unverified用户输入的每个词都会成为模型的上下文，改变模型接收到的数学输入，进而影响解码阶段的概率分布和输出内容80% similarUnverifiedWhen a prompt is entered, the model predicts the most likely next token based on context, rather than truly understanding the semantics.76% similarVerifiedThe essence of large language models is learning the conditional probability distribution of what the next word is given the preceding text72% similarUnverified语言的语法结构越简单、惯用模式越统一，大模型在每一步预测中面临的困惑度越低，生成正确序列的概率越高72% similarUnverified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72% similar
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