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DeepSpeed

DeepSpeed is an open-source deep learning optimization suite developed by Microsoft, focusing on improving efficiency in large-scale model training and inference. It offers innovative technologies like ZeRO, 3D-Parallelism, and DeepSpeed-MoE, supporting models with billions to trillions of parameters. DeepSpeed's strengths lie in its powerful performance optimization, flexible API, and broad community support. It has been widely used in training several large language models, such as MT-530B and BLOOM. However, users should note that despite its powerful features, some complex scenarios may require expert knowledge for fine-tuning.

DeepSpeed

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