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Accelerating Generative AI with PyTorch II: GPT, Fast

This post is the second part of a multi-series blog focused on how to accelerate generative AI models with pure, native PyTorch. We are excited to share a breadth of newly released PyTorch performance features alongside practical examples to see how far we can push PyTorch native performance. In part one, we showed how to accelerate Segment Anything over 8x using only pure, native PyTorch. In this blog weโ€™ll focus on LLM optimization.
Andrej Karpathy Team Pytorch Segment Anything Pytorch Developer Conference Model Bandwidth Utilization Using Tensor

PyTorch 1.13 release, including beta versions of functorch and improved support for Apple's new M1 chips.

We are excited to announce the release of PyTorchยฎ 1.13 (release note)! This includes Stable versions of BetterTransformer. We deprecated CUDA 10.2 and 11.3 and completed migration of CUDA 11.6 and 11.7. Beta includes improved support for Apple M1 chips and functorch, a library that offers composable vmap (vectorization) and autodiff transforms, being included in-tree with the PyTorch release. This release is composed of over 3,749 commits and 467 contributors since 1.12.1. We want to sincerely...
Pytorch Apis Pytorch Torchtext Mlperf Bert Pytorch Bettertransformer Autocast Apis Prototype Limited Python

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