Unverified50% confidenceSolutionExact time
Enterprises can use the outputs of closed-source models to build training datasets, and then transfer large model capabilities to private small models through knowledge distillation.
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50%
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Long-term
Relevance
9/12/2026
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Unverified微调技术允许企业在原有模型基础上用私有数据进行二次训练以定制模型行为80% similarUnverifiedKnowledge distillation guides the training of a smaller model using soft labels from a larger model, whereas pruning directly inherits knowledge from the weights of the larger model.76% similarUnverifiedA private knowledge base enables large models to combine proprietary data in order to produce more precise and business-relevant answers.75% similarUnverifiedFine-tuning involves taking an existing large model and further training it with a specially prepared proprietary dataset, thereby changing the model's weight values74% similar
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