Unverified70% confidenceFactExact time
The teacher model in distillation does not have to be larger than the student model; it can be a domain expert model of comparable size.
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9/12/2026
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Verified知识蒸馏由Hinton等人在2015年提出，核心思想是让小型学生模型模仿大型教师模型的输出分布76% similarUnverifiedTraditional distillation or teacher-student frameworks require two separate models: the teacher generates high-quality signals, and the student learns from them.76% similarUnverifiedThe distillation in this project treats unstructured expert human experience as the teacher, converting tacit knowledge into explicit executable rules via LLM, which differs from traditional model distillation (large model teaching a small model).75% similarUnverifiedTeacher-student distillation pipeline: use a cloud large model to label edge cases, then distill into a small on-device model, and manually review samples where the two disagree.73% similarUnverifiedThe core difference between self-distillation and traditional knowledge distillation is that the teacher and student can be the same model, or outputs produced by the model itself at different training stages or from different perspectives.73% similar
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