Scaling AI Model Training and Inferencing Efficiently with PyTorch

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IBM Company Meta Company Meta AI Tool AI Coding Vertical AI Code Generation Use Case AI Developer Audience Intermediate Level
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Learn more about PyTorch → https://ibm.biz/BdSx57 Learn more about Llama → https://ibm.biz/BdSx53 LLaMa Recipes on Github → https://ibm.biz/BdSx5Q Foundation Model Stack on GitHub → https://ibm.biz/foundation-model-stack PyTorch is an open source Python based framework for AI model training and inferencing, but it's still a resource intensive task. In this video, Raghu Kiran Ganti from IBM Research and Suraj Subramanian from Meta discuss how to increase efficiencies in both cost and time for AI workloads using PyTorch features like fully sharded data parallel (FSDP) and TorchDynamo. Get started for free on IBM Cloud → https://ibm.biz/sign-up-now Subscribe to see more videos like this in the future → http://ibm.biz/subscribe-now #PyTorchConf #pytorch #ai

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