The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.

Learn how to train large language models (LLMs) effectively with long context inputs. Techniques, examples, and tips included ...

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

Is the inside of a vision model at all like a language model? Researchers argue that as the models grow more powerful, they ...

I discuss what open-source means in the realm of AI and LLMs. There are efforts to devise open-source LLMs for mental health guidance. An AI Insider scoop.

Nvidia unveiled Alpamayo at CES 2026, which includes a reasoning vision language action model that allows an autonomous ...

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

A poor night's sleep portends a bleary-eyed next day, but it could also hint at diseases that will strike years down the road ...

DeepSeek has released new research showing that a promising but fragile neural network design can be stabilised at scale, ...

Scale AI, Surge AI, and the billion-dollar gig-work industry shaping everything from chatbots to self-driving cars.

Best-selling authors Michael and Kathleen Gear had 60 of their books illegally downloaded and used as training tools for an ...

Chinese AI company Deepseek has unveiled a new training method, Manifold-Constrained Hyper-Connections (mHC), which will make it possible to train large language models more efficiently and at lower ...