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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 […]

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Michel LAPLANE (@MichelLAPLANE) / X

Gioele Crispo on LinkedIn: GitHub - gioelecrispo/chunkipy: chunkipy is an extremely useful tool for…

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

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GitHub - microsoft/DeepSpeed: DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.

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

Michel LAPLANE (@MichelLAPLANE) / X

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

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