You don’t typically build a machine without understanding how it works. But for artificial intelligence researchers building large language models, understanding is about the one thing they haven’t ...

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 ...

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

What if you could demystify one of the most fantastic technologies of our time—large language models (LLMs)—and build your own from scratch? It might sound like an impossible feat, reserved for elite ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.

Move over large language models — the new frontier in AI is world models that can understand and simulate reality. Why it matters: Models that can navigate the way the world works are key to creating ...

A new community-driven initiative evaluates large language models using Italian-native tasks, with AI translation among the ...

The supply chain industry is undergoing a transformation, thanks to advances in generative artificial intelligence and large language models (LLMs). These cutting-edge technologies are enhancing ...

These days, large language models can handle increasingly complex tasks, writing complex code and engaging in sophisticated ...