Tech Xplore on MSN

Lowering barriers to explainable AI: Control technique for LLMs reduces resource demands by over 90%

Large language models (LLMs) such as GPT and Llama are driving exceptional innovations in AI, but research aimed at improving ...
JD Supra

Chambers Guidance: Using AI Large Language Models (LLMs) Wisely and Ethically

[EDRM Editor’s Note: The opinions and positions are those of Craig Ball. This article is republished with permission and was first published on June 19, 2025.] Tomorrow, I’m delivering a talk to the ...
Hosted on MSN

LLMs use grammar shortcuts that undermine reasoning, creating reliability risks

Large language models (LLMs) sometimes learn the wrong lessons, according to an MIT study. Rather than answering a query based on domain knowledge, an LLM could respond by leveraging grammatical ...

After LLMs and agents, the next AI frontier: video language models

The next step in the evolution of generative AI technology will rely on ‘world models’ to improve physical outcomes in the real world.
Forbes

The Role Of Specialized Models In Expanding LLMs To The Corporate World

Cofounder and CEO of Nurdle AI, which generates privacy-safe custom datasets on demand that make building AI faster, cheaper and easier. In a previous article, I spoke about the challenges of rolling ...
Traders Magazine

Mind Over Model – Getting LLMs Right in a Regulated Industry

Large Language Models (LLMs) have now become widely adopted across industries – and financial services is no exception. From personalizing customer experiences to enhancing compliance and surveillance ...
American Enterprise Institute

Using Large Language Models to Understand Ordinary Meanings in Legal Texts: Some Early Judicial and Scholarly Experiments

Courts and scholars are experimenting with artificial intelligence tools to help establish the ordinary meaning of words and phrases in statutes and contracts. A tone of cautious optimism—one ...
Dark ReadingOpinion

In Cybersecurity, Claude Leaves Other LLMs in the Dust

LLMs can be fairly resistant to abuse. Most developers are either incapable of building safer tools, or unwilling to invest ...