The IBM team is combining three techniques within PyTorch – graph fusion, kernel optimizations, and parallel tensors – to achieve faster inference speeds.

PyTorch Hub comes with support for models in Google Colab and PapersWithCode. “Our goal is to curate high-quality, easily reproducible, maximally beneficial models for research reproducibility.

The logical place to train a new model is on a cloud-hosted platform, such as Azure’s Machine Learning studio. This can get expensive, requiring large virtual machines to host your models and a ...

Over the last half decade, Pytorch has grown to become a leading standard for the AI research community with Meta CEO Mark Zuckerberg noting in Monday’s press release that some 80 percent of ...

Machine Learning in Facebook AI Research and in production First off, PyTorch is now officially the one Facebook ML framework to rule them all. PyTorch 1.0 marks the unification of PyTorch and Caffe2.

AWS and Facebook today announced two new open-source projects around PyTorch, the popular open-source machine learning framework. The first of these is TorchServe, a model-serving framework for ...

At its F8 developer conference, Facebook today launched Ax and BoTorch, two new open-source AI tools. BoTorch, which, as the name implies, is based on PyTorch, is a library for Bayesian ...

Training of large-scale language models (LLMs), which can be said to be the main body of AI, is mostly done using PyTorch or Python, but a tool called ' llm.c ' has been released that implements ...