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 ...

When a standard large language model (LLM) is confronted with a problem, it tries to solve it by matching it to similar information it has seen before, and then give an answer based on those past ...

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 ...

With powerful video generation tools now in the hands of more people than ever, let's take a look at how they work. MIT Technology Review Explains: Let our writers untangle the complex, messy world of ...

This paper investigates the emergence of Theory-of-Mind (ToM) capabilities in large language models (LLMs) from a mechanistic perspective, focusing on the role of extremely sparse parameter patterns.

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 ...

The advent of large language models (LLMs) has started to reshape many technology development efforts and research roadmaps. Apart from transforming the space of natural language processing, LLMs have ...

You know what’s cheaper than large language models? Small language models, which are designed for specialized tasks and can ...