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Establishing Task Scaling Laws through Computationally Efficient Model Staircases

💡 原文英文，约100词，阅读约需1分钟。

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内容提要

本研究提出了一种新颖的两步预测方法，解决了预训练语言模型在过度训练环境下的任务表现预测问题。通过小规模的“阶梯”模型，成功预测目标模型的任务准确性，资源占用仅为1%。

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