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

Tether Data announced the launch of QVAC Fabric LLM, a new LLM inference runtime and fine-tuning framework that makes it possible to execute, train and personalize large language models on hardware, ...

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 ...

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 ...

In 2025, large language models moved beyond benchmarks to efficiency, reliability, and integration, reshaping how AI is ...

A new kind of large language model, developed by researchers at the Allen Institute for AI (Ai2), makes it possible to control how training data is used even after a model has been built.

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 ...

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

Top AI researchers like Fei-Fei Li and Yann LeCun are developing world models, which don't rely solely on language.