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什么是蒸馏？ 模型蒸馏是机器学习（ML）中一种将知识从大型、复杂模型（通常称为教师模型）转移到较小、较简单模型（称为学生模型）的技术。 目标是创建一个较小的模型，在保持较大模型大部分性能的同时，在计算资源、内存使用和推理速度方面更加高效。