The rise of large language models (LLMs) has revolutionized the capabilities of AI, allowing machines to generate human-like text, engage in conversations, and assist in decision-making processes.

Language isn’t always necessary. While it certainly helps in getting across certain ideas, some neuroscientists have argued that many forms of human thought and reasoning don’t require the medium of ...

What if we could truly understand the “thoughts” of artificial intelligence? Imagine peering into the intricate inner workings of a large language model (LLM) like GPT or Claude, watching as it crafts ...

World models are getting substantial funding. What is a world model, how does it compare to a large language model, and what ...

Mass General Brigham researchers studied 21 widely used AI chatbots and found they can identify the correct diagnosis over 90% of the time when given complete patient information, but struggle with ...

What the firm found challenges some basic assumptions about how this technology really works. The AI firm Anthropic has developed a way to peer inside a large language model and watch what it does as ...

New research finds that forcing Large Language Models to give shorter answers notably improves the accuracy and quality of their answers. Anyone who has tried to stop a chatbot from ‘rambling’ will ...

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...

How large is a large language model? Think about it this way. In the center of San Francisco there’s a hill called Twin Peaks from which you can view nearly the entire city. Picture all of it—every ...

There’s a paradox at the heart of modern AI: The kinds of sophisticated models that companies are using to get real work done and reduce head count aren’t the ones getting all the attention. Ever-more ...