Unverified80% confidenceFactTime unknown
学习用户写作风格的主流技术路径包括基于历史邮件的少样本学习（Few-shot Learning）和个人化微调（Personalized Fine-tuning），目前大多数商业产品采用前者
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80%
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Long-term
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5/31/2026
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UnverifiedTraining data in the instruction tuning phase contains a large volume of creative writing, business email templates, and role-playing dialogue samples, enabling the model to master various textual formats73% similarUnverifiedCommon prompt techniques include Few-shot Learning, Chain of Thought, and the layered design of System Prompt and User Prompt.67% similarVerifiedPrompt engineering has developed several mature paradigms, including Chain-of-Thought, Few-Shot Learning, and Role Prompting.67% similarUnverified对比学习的核心思想来自SimCLR、MoCo等自监督学习工作，后被引入文本检索领域63% similar
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