Courtesy of PyTorch/XLA (a now generally available Python library), Google's Cloud TPUs can better support Facebook's PyTorch machine learning framework.

Google Cloud on Tuesday launched a managed data science notebook environment, dubbed Colab Enterprise, to help data scientists customize and tune large language models (LLMs) for their enterprises.

This is where Google Colab Pro, a cloud-based platform, steps in to offer a solution. This guide provides a step-by-step process on how to store stable diffusion using Google Colab Pro.

Using PyTorch to streamline machine-learning projects A platform that lets surgeons browse videos of past operations has found a way to make its machine learning more effective.

Google Colab, a platform that has been facilitating Python programming since 2017, is set to introduce AI coding features utilizing Google’s advanced code models, Codey. Codey, built on the PaLM ...

Soumith Chintala from Facebook AI Research, PyTorch project lead, talks about the thinking behind its creation, and the design and usability choices made. Facebook is now unifying machine learning ...