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Scalable and Efficient Systems for Large Deep Learning Models

Zheng, Lianmin
eScholarship · Papers
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compilerscomputer-sciencelarge-language-modelsparallel-computing
Recent advancements in machine learning have primarily been driven by large-scale deep learning models, particularly large language models. The large scale and new capabilities of these models present challenges in designing infrastructure systems to support their entire lifecycle, from training and
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