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@PyTorch

PyTorch releases include thousands of changes, and our Release Live Q&A gives you direct access to the maintainers and contributors behind them. In this clip from our PyTorch 2.11 webinar, Nikita Shulga explains why quantization support is moving from PyTorch core to TorchAO and what that means for developers. Have questions? Join @AndreyTalman, @albanDesmaison, and @joespeez, moderated by @Chris_AI_HPC, on May 20 at 10:00 AM PT for a live Q&A covering PyTorch 2.12 and answering questions from the community. šŸ”— Register now: https://t.co/bXsmIPJC7w

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