Large language models (LLMs) that drive generative artificial intelligence apps, such as ChatGPT, have been proliferating at lightning speed and have improved to the point
Category: Updates
Research Published 19 July 2024 Exploring AGI, the challenges of scaling and the future of multimodal generative AI Next week the artificial intelligence (AI) community
Machine-learning models can fail when they try to make predictions for individuals who were underrepresented in the datasets they were trained on. For instance, a
Acknowledgements We thank the International Mathematical Olympiad organization for their support. AlphaProof development was led by Thomas Hubert, Rishi Mehta and Laurent Sartran; AlphaGeometry 2
One might argue that one of the primary duties of a physician is to constantly evaluate and re-evaluate the odds: What are the chances of
Technologies Published 31 July 2024 Authors Language Model Interpretability team Announcing a comprehensive, open suite of sparse autoencoders for language model interpretability. To create an
If someone advises you to “know your limits,” they’re likely suggesting you do things like exercise in moderation. To a robot, though, the motto represents
Responsibility & Safety Published 2 August 2024 Authors Nahema Marchal and Rachel Xu New research analyzes the misuse of multimodal generative AI today, in order
In a two-part series, MIT News explores the environmental implications of generative AI. In this article, we look at why this technology is so resource-intensive. A
Company Published 5 August 2024 Authors Obum Ekeke OBE, Head of Education Partnerships Food security, healthcare and exploring the cosmos are among the ways students