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GIFT: Geometry-Informed Low-precision Gradient Communication for LLM Pretraining
提出GIFT方法，利用梯度几何信息实现低精度通信，在不牺牲模型精度的前提下显著降低LLM预训练通信开销。
arXiv:2607.07494v1 Announce Type: cross Abstract: Gradient communication is a primary scaling bottleneck in large language model (LLM) pretraining. Co…