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DeepSpeed Compression: A composable library for extreme

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Large-scale models are revolutionizing deep learning and AI research, driving major improvements in language understanding, generating creative texts, multi-lingual translation and many more. But despite their remarkable capabilities, the models’ large size creates latency and cost constraints that hinder the deployment of applications on top of them. In particular, increased inference time and memory consumption […]

DeepSpeed Compression: A composable library for extreme compression and zero-cost quantization - Microsoft Research

Michel LAPLANE (@MichelLAPLANE) / X

DeepSpeed介绍- 知乎

DeepSpeed ZeRO++: A leap in speed for LLM and chat model training with 4X less communication - Microsoft Research

PDF] DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale

Gioele Crispo on LinkedIn: Discover ChatGPT by asking it: Advantages, Disadvantages and Secrets

DeepSpeed介绍_deepseed zero-CSDN博客

DeepSpeed介绍- 知乎

Shaden Smith op LinkedIn: DeepSpeed Data Efficiency: A composable library that makes better use of…

Scaling laws for very large neural nets — The Dan MacKinlay stable of variably-well-consider'd enterprises

Jean-marc Mommessin, Author at MarkTechPost

deepspeed - Python Package Health Analysis

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