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Jun, 2024
增强受限带宽网络中大模型训练的稳定性
Enhancing Stability for Large Models Training in Constrained Bandwidth Networks
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Yun Dai, Tejas Dharamsi, Byron Hsu, Tao Song, Hamed Firooz
TL;DR
通过改进分区算法解决大规模语言模型训练中的收敛问题,提高分布式训练效率,并保持可靠的收敛性能。
Abstract
training
extremely
large language models
with billions of parameters is a computationally intensive task that pushes the limits of current data parallel
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