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在AI领域的发展长河中，有一个看似不起眼但极其重要的技术环节——标准化层，它就像是烹饪过程中必不可少的调料，帮助神经网络保持稳定训练。然而，来自普林斯顿大学、纽约大学和卡内基梅隆大学的研究团队却在2024年12月发表了一项突破性研究，彻底改写了这一传 ...

A：Derf是普林斯顿大学团队开发的一种新技术，用来替代AI训练中的标准化层。它基于数学中的误差函数，加上了可学习的参数，就像给一把万能钥匙配上不同齿形，能适应各种任务需求，而且比传统方法效果更好。