Verified65% confidenceFactExact time
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
3
Sources
65%
Confidence
Long-term
Relevance
7/9/2026
First Seen
Sources
Related Claims
Unverified模型蒸馏是指用大型教师模型的输出训练更小的学生模型，仅需调用API获取输出，不涉及权重复制，其法律边界模糊，全球尚无先例性司法判决明确定性79% similarUnverifiedModel distillation transfers the knowledge of a large model to a smaller student model, resulting in significant speed improvements but with some capability loss.75% similarUnverifiedHard distillation refers to the student model directly learning the final output labels or generated text of the teacher model, while soft distillation requires the student model to learn the complete probability distribution (logits) output by the teacher model.74% similarUnverified通过蒸馏获得的学生模型往往只继承教师模型的能力，而无法复制其经过RLHF等方法植入的安全对齐机制73% similarUnverifiedModel distillation technology was proposed by Geoffrey Hinton's team in 2015, originally used for model compression, by having a student model fit the soft-label outputs of a teacher model.71% similar
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