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Large Language Models (LLMs) have achieved remarkable success in various fields, but their training and finetuning require massive computation and memory, necessitating parallelism which introduces heavy communication overheads. Driven by advances in
Externí odkaz:
http://arxiv.org/abs/2407.05784
Autor:
Huang, Zongle1 (AUTHOR), Sun, Wenting1 (AUTHOR), Sun, Zhipeng1 (AUTHOR) 502022340034@smail.nju.edu.cn, Ding, Rui1 (AUTHOR), Wang, Xuebin1 (AUTHOR) wangxb@nju.edu.cn
Publikováno v:
Materials (1996-1944). Jun2023, Vol. 16 Issue 12, p4449. 31p.
