Unverified50% confidenceFactExact time
少样本示例（Few-shot Prompting）的工作原理基于Transformer注意力机制，无需更新模型权重，被称为上下文学习（In-context Learning）
1
Sources
50%
Confidence
Long-term
Relevance
7/8/2026
First Seen
Sources
OpenCode完全指南：终端AI编程助手安装配置与实战
bilibili码士集团-琦琦7/6/2026
Related Claims
UnverifiedWhen a Skill is presented in the form of a few-shot example set, it essentially leverages the model's In-Context Learning capability without modifying the model weights.74% similarUnverifiedFew-shot prompting activates in-context learning capabilities by providing examples.74% similarUnverifiedCommon prompt techniques include Few-shot Learning, Chain of Thought, and the layered design of System Prompt and User Prompt.69% similarUnverifiedTransformer 架构的模型参数在训练完成后即被固定，除非进行微调或持续预训练否则无法获取新知识69% similarUnverifiedSkill本质上是通过模拟少样本学习效果，在不修改模型权重的前提下，通过提示模板约束模型的输出分布68% similar
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