Unverified50% confidenceFactExact time
The control signal of autoregressive models can only be applied at the beginning of the sequence, that is, prefix prompting or prefix fine-tuning.
1
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50%
Confidence
Long-term
Relevance
10/14/2026
First Seen
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Unverified系统提示词是一种零样本引导方式，在推理阶段调控模型行为，不同于微调会改变模型的权重参数70% similarUnverified调试时每次只改一个系数并记录行为变化，才能建立参数到行为的直觉映射67% similarUnverifiedFew-shot prompting does not modify model weights; it constrains the output distribution through context only at inference time, unlike fine-tuning in traditional machine learning.66% similarUnverifiedSystem prompt adherence is not a hard constraint but a probabilistic tendency; models may ignore system instructions when user input creates a semantic conflict with the system prompt.66% similarUnverifiedDecision models do not generate text; instead, given an input state and a set of named questions, they return typed answers with probabilities in a single forward pass.65% similar
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