Verified65% confidenceFactExact time
Model Distillation in machine learning refers to training a small student model using the outputs of a large teacher model, in order to compress model size while retaining capability.
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9/12/2026
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UnverifiedModel distillation uses the outputs of a powerful model as training data to train another model; mainstream model service terms of service generally prohibit using API outputs to train competing models.79% similarVerifiedModel distillation softens the teacher model's softmax outputs via temperature scaling, allowing information from low-probability classes to be transferred to the student model.75% similarVerified模型蒸馏是一种将大型教师模型能力迁移到更小学生模型的技术，可能被用于扩散危险能力75% similarVerifiedKnowledge Distillation is a technique for transferring the knowledge of a large model to a smaller, lightweight model, capable of retaining most of the performance while reducing the parameter count by tens of times.74% similarUnverifiedDistillation is a technique for training a small model to mimic the behavior of a large model.74% similar
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