Once a model is deployed, its internal structure is effectively frozen. Any real learning happens elsewhere: through retraining cycles, fine-tuning jobs or external memory systems layered on top. The ...

The U.S. military is working on ways to get the power of cloud-based, big-data AI in tools that can run on local computers, draw upon more focused data sets, and remain safe from spying eyes, ...

There is an all-out global race for AI dominance. The largest and most powerful companies in the world are investing billions in unprecedented computing power. The most powerful countries are ...

Although large language models (LLMs) have the potential to transform biomedical research, their ability to reason accurately across complex, data-rich domains remains unproven. To address this ...

When choosing a large language model (LLM) for use in a particular task, one of the first things that people often look at is the model's parameter count. A vendor might offer several different ...

Yann LeCun is a Turing Award recipient and a top AI researcher, but he has long been a contrarian figure in the tech world.

Researchers find large language models process diverse types of data, like different languages, audio inputs, images, etc., similarly to how humans reason about complex problems. Like humans, LLMs ...

A glimpse at how DeepSeek achieved its V3 and R1 breakthroughs, and how organizations can take advantage of model innovations when they emerge so quickly. The release of DeepSeek roiled the world of ...

As recently as 2022, just building a large language model (LLM) was a feat at the cutting edge of artificial-intelligence (AI) engineering. Three years on, experts are harder to impress. To really ...