Brown University

Do AI language models ‘understand’ the real world? On a basic level, they do, a new study finds

New research shows that AI language models can develop a mathematical “understanding” that differentiates between events that ...

Cross-Modal Data Understanding Advances Through Bukun Ren’s Review of Visual Language Models

A study on visual language models explores how shared semantic frameworks improve image–text understanding across ...

AI World Models: What Are They And Why Should You Care

World models are getting substantial funding. What is a world model, how does it compare to a large language model, and what ...

Data Lineage for Large Language Model (LLM) Training Market Report 2026 - Total Revenue Set to More Than Double During 2026-2030 as AI Investments and Compli…

The "Data Lineage for Large Language Model (LLM) Training Market Report 2026" has been added to ResearchAndMarkets.com's ...
techtimes

Large Language Model Limitations: Why Generative AI Still Has a Long Way to Go, Researchers Say

As great as generative AI looks, researchers at Harvard, MIT, the University of Chicago, and Cornell concluded that LLMs are not as reliable as we believe. Even a big company like Nintendo did not ...

Don't Default To The Biggest AI Model: Agentic Systems Deserve Better

This isn't about rejecting large models; it's about having the engineering discipline to use smaller, specialized models ...

Taiwan Banks to Build Own AI Model to Rival Global Giants

Taiwan is launching a project to develop a large language model for its finance sector, seeking to strengthen its local firms ...

New framework lets AI agents rewrite their own skills without retraining the underlying model

Memento-Skills lets AI agents rewrite their own skills using reinforcement learning, hitting 80% task success vs. 50% for ...
Semiconductor Engineering

Small Language Models: A Solution To Language Model Deployment At The Edge?

While Large Language Models (LLMs) like GPT-3 and GPT-4 have quickly become synonymous with AI, LLM mass deployments in both training and inference applications have, to date, been predominately cloud ...