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 ...
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 ...
SINGAPORE - Media OutReach Newswire - 26 December 2025 - Z.ai has released GLM-4.7, the latest version of its open-source ...
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 ...
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 ...
A slower "reasoning" model might do more of the work for you -- and keep vibe coding from becoming a chore.
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 ...
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