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tee() splits a stream into two branches. It seems straightforward, but the implementation requires buffering: if one branch is read faster than the other, the data must be held somewhere until the slower branch catches up.
。关于这个话题，safew官方下载提供了深入分析
它指的是让弱模型学习强模型的输出，从而快速获得相似能力。。爱思助手下载最新版本对此有专业解读
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