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 ...
This article talks about how Large Language Models (LLMs) delve into their technical foundations, architectures, and uses in ...
SINGAPORE - Media OutReach Newswire - 26 December 2025 - Z.ai has released GLM-4.7, the latest version of its open-source ...
For IT and HR teams, SLMs can reduce the burden of repetitive tasks by automating ticket handling, routing, and approvals, ...
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Enabling small language models to solve complex reasoning tasks
As language models (LMs) improve at tasks like image generation, trivia questions, and simple math, you might think that ...
The release marks a significant strategic pivot for Google DeepMind and the Google AI Developers team. While the industry ...
Overview: Large language models in 2026 have evolved into multimodal, highly adaptive systems that deliver complex reasoning with real-time learning.Designed to ...
Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.
Overview: Small language models excel in efficiency, deployability, and cost-effectiveness, despite their parameter size.Modern SLMs support reasoning, instruct ...
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 ...
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