Tech Xplore on MSN

AI overly affirms users asking for personal advice, study finds

In a new study published in Science, Stanford computer scientists showed that artificial intelligence large language models ...
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 ...
Tech Xplore on MSN

A better method for identifying overconfident large language models

Large language models (LLMs) can generate credible but inaccurate responses, so researchers have developed uncertainty quantification methods to check the reliability of predictions. One popular ...
Officer

How Law Enforcement Is Using Large Language Models (LLMs)

Support for AI among public safety professionals rose to 90% in 2024, with agencies rapidly adopting large language models (LLMs) to streamline operations and improve engagement. LLMs are being used ...
TweakTown

The iPhone 17 Pro can run a 400B parameter Large Language Model on-device by streaming weights from the SSD

While the speed remains impractical for daily use, this proof of concept demonstrates how new inference engines are ...
MIT Technology Review

Anthropic can now track the bizarre inner workings of a large language model

What the firm found challenges some basic assumptions about how this technology really works. The AI firm Anthropic has developed a way to peer inside a large language model and watch what it does as ...
Defense One

For DOD, the future of large language models is smaller

The U.S. military is working on ways to get the power of cloud-based, big-data AI in tools that can run on local computers, draw upon more focused data sets, and remain safe from spying eyes, ...
Semiconductor Engineering

Small Vs. Large Language Models

The proliferation of edge AI will require fundamental changes in language models and chip architectures to make inferencing and learning outside of AI data centers a viable option. The initial goal ...