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PyTorch, the popular open-source ML framework, has continued to evolve rapidly since the introduction of PyTorch 1.0, which brought an accelerated workflow from research to production.

In this video, take a deep dive on some of the most important new advances, including model parallel distributed training, model optimization and on device deployment as well as the latest libraries that support production scale deployment working in concert with MLFlow.

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