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 ...

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

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

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

Google announced a breakthrough technology called CALM that speeds up large language models (like GPT-3 and LaMDA) without compromising performance levels. Larger Training Data Is Better But Comes ...

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

Large language models evolved alongside deep-learning neural networks and are critical to generative AI. Here's a first look, including the top LLMs and what they're used for today. Large language ...

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

And that's a problem. Figuring it out is one of the biggest scientific puzzles of our time and a crucial step towards controlling more powerful future models. Two years ago, Yuri Burda and Harri ...