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

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

Z.ai released GLM-4.7 ahead of Christmas, marking the latest iteration of its GLM large language model family. As open-source models move beyond chat-based applications and into production ...

This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...

As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that ...

For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...

Overview: Large language models in 2026 have evolved into multimodal, highly adaptive systems that deliver complex reasoning with real-time learning.Designed to ...

The release marks a significant strategic pivot for Google DeepMind and the Google AI Developers team. While the industry ...

Overview: Small language models excel in efficiency, deployability, and cost-effectiveness, despite their parameter size.Modern SLMs support reasoning, instruct ...

Dietary assessment has long been a bottleneck in nutrition research and public health. Common tools such as food frequency questionnaires, 24-hour recalls, and weighed food records rely heavily on ...

The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.

Gary Marcus, professor emeritus at NYU, explains the differences between large language models and "world models" — and why ...