DeepSpeed Ulysses: 极端长序列Transformer模型训练的系统优化

from AI Podcast · host weedge

本播客深入探讨了DeepSpeed Ulysses，一种用于训练具有极长序列长度的Transformer模型的创新方法，它通过优化序列并行性和通信效率，显著提升了训练速度和可扩展性。我们将讨论其核心设计、通信分析、内存效率以及与现有方法的比较。

Episode metadata supplied by the publisher feed · Published Jan 4, 2025

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DeepSpeed Ulysses: 极端长序列Transformer模型训练的系统优化

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