Ways to Use Torch.compile(blog.ezyang.com)
27 points by mfiguiere | 3 comments
27 points by mfiguiere | 3 comments
66 points by smasher164 | 26 comments
426 points by bblcla | 78 comments
Blog post recounting how a training loss plateau turned out to be a PyTorch bug, traced through optimizer internals down to GPU kernels.
70 points by matt_d | 7 comments
695 points by bryanmikaelian | 227 comments
Blog post by David Crawshaw on exe.dev arguing that developer tools must be open source, starting from how engineers rarely wrote software for themselves.
360 points by jarbus | 42 comments
PyTorch blog post from Meta introducing Monarch, a framework moving beyond multi-controller SPMD for heterogeneous, asynchronous, fault-tolerant ML workflows.
372 points by 0bytematt | 25 comments
A visual, beginner-friendly tutorial introducing PyTorch, covering tensors, autograd, and building a simple neural network.
360 points by swyx | 92 comments
Yi Tay's blog post on the experience of training large language models from scratch at a startup (Reka), covering compute, infrastructure, and lessons learned.
549 points by chmaynard | 134 comments
Rachel Thomas blog post on how a high-profile Nature paper using a Transformer to predict enzyme functions contained many errors that received far less attention than the original result.
415 points by amrrs | 52 comments
GitHub repository for smolGPT, a minimal PyTorch implementation for training a small GPT-style language model from scratch.
343 points by saikatsg | 242 comments
Blog post by Ivan Turkovic arguing that AI tools make producing code easier while making the broader job of being a software engineer harder.