VentureBeat

Forget data labeling: Tencent’s R-Zero shows how LLMs can train themselves

A new training framework developed by researchers at Tencent AI Lab and Washington University in St. Louis enables large language models (LLMs) to improve themselves without requiring any ...
VentureBeat

Researchers find you don’t need a ton of data to train LLMs for reasoning tasks

Large language models (LLMs) can learn complex reasoning tasks without relying on large datasets, according to a new study by researchers at Shanghai Jiao Tong University. Their findings show that ...
TechRepublic

Cisco Talos Researcher Reveals Method That Causes LLMs to Expose Training Data

Cisco Talos Researcher Reveals Method That Causes LLMs to Expose Training Data Your email has been sent In this TechRepublic interview, Cisco researcher Amy Chang details the decomposition method and ...

How Narrow LLMs Are Powering Agentic AI Systems

Just as general-purpose models opened the era of practical AI, narrow, orchestrated models could define the economics and ...
Hosted on MSN

Test-time training could lead to LLMs that are better at complex reasoning

For all their impressive capabilities, large language models (LLMs) often fall short when given challenging new tasks that require complex reasoning skills. Subscribe to our newsletter for the latest ...
InfoWorld

AI coding assistants are on a downward spiral

When established technologies take up the most space in training data sets, what’s to make LLMs recommend new technologies (even if they’re better)? We’re living in a strange time for software ...