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 ...
IFLScience on MSN

AI models can pass on bad habits through training data, even when there are no obvious signs in the data itself

Large language models can transmit harmful behavior to one another through training data, even when that data lacks any ...

AI labs shift focus to global language coverage as English data sources reach saturation

AI models are rapidly improving in rare languages through shared learning patterns ...

large language models

Find the latest large language models news from Fast company. See related business and technology articles, photos, ...
Opinion

AI learns language from skewed sources. That could change how we humans speak – and think

Large language models aren’t trained on real-life conversations. As we encounter their language, it could affect our own ...
Forbes

Small Language Models, Big Possibilities: The Future Of AI At The Edge

The AI landscape is taking a dramatic turn, as small language and multimodal models are approaching the capabilities of larger, cloud-based systems. This acceleration reflects a broader shift toward ...
The Conversation

Large language models: how the AI behind the likes of ChatGPT actually works

The arrival of AI systems called large language models (LLMs), like OpenAI’s ChatGPT chatbot, has been heralded as the start of a new technological era. And they may indeed have significant impacts on ...
Forbes

The Rise Of Small Language Models

Cody Pierce is the CEO and founder of Neon Cyber. He has 25 years of experience in cybersecurity and a passion for innovation. Large language models (LLMs) have captured the world’s imagination since ...
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 ...

Frontier models are failing one in three production attempts — and getting harder to audit

Stanford's 2026 AI Index: frontier models fail one in three attempts, lab transparency is declining, and benchmarks are ...