Unverified50% confidenceFactExact time
微调是指在已具备通用语言理解能力的基础模型之上，用特定领域的专业数据进行二次训练，使模型在保留通用能力的同时对特定任务表现出更高的专业精度
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50%
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Long-term
Relevance
7/24/2026
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Verified微调（Fine-tuning）是指在通用文本预训练完毕的基础模型之上，使用特定领域标注数据进行二次训练以调整模型参数80% similarUnverified模型的工具调用能力来自专门的微调训练，而非通用语言模型的自然涌现79% similarUnverifiedIn-context learning was first observed in large language models, and its capability fundamentally stems from the diversity of pretraining data.76% similarUnverifiedFine-tuning involves taking an existing large model and further training it with a specially prepared proprietary dataset, thereby changing the model's weight values75% similar
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