What do people mean when they say “generative AI,” and why are these systems finding their way into practically every application imaginable? MIT AI experts help break down the ins and outs of this increasingly popular, and ubiquitous, technology.
The Book of News is designed to be your guide to all our announcements, making it easy for you to navigate the latest information and provide key details on the topics in which you are most interested. We are excited to share some groundbreaking new products and critical updates that help make work and life easier and more productive.
Outstanding reporting on the current situation at OpenAI from Karen Hao and Charlie Warzel, informed by Karen's research for a book she is currently writing. There are all sorts of fascinating details in here that I haven't seen reported anywhere, and it strongly supports the theory that this entire situation (Sam Altman being fired by the board of the OpenAI non-profit) resulted from deep disagreements within OpenAI concerning speed to market and commercialization of their technology v.s. safety research and cautious progress towards AGI.
Microsoft’s Azure AI Studio empowers AI developers with end-to-end platform to explore, build, test, and deploy solutions at scale
This post is the first 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 of how these features can be combined to see how far we can push PyTorch native performance.
As the scale of available data continues to grow, so does the need for scalable and intelligent data processing systems to swiftly harness useful knowledge. Especially in high-stakes domains such as…
At Microsoft Ignite 2023, we are announcing Microsoft Copilot Studio and new innovations in Copilot for Microsoft 365. Learn more.