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 ...
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 ...
Ars Technica

Researchers show that training on “junk data” can lead to LLM “brain rot”

On the surface, it seems obvious that training an LLM with “high quality” data will lead to better performance than feeding it any old “low quality” junk you can find. Now, a group of researchers is ...
Geeky Gadgets

Experiments Find LLMs Rely on Training Data & Lose Mid-Document Details

Large language models (LLMs) like ChatGPT and Claude have significantly influenced how we interact with artificial intelligence, offering advanced capabilities in text generation, summarization, and ...
Ars Technica

How a big shift in training LLMs led to a capability explosion

The more I read about the inner workings of the LLM AIs the more I fear that at some point the complexity will far exceed what anyone can understand what it is doing or its limitations. So it will be ...
VentureBeat

LLMs generate 'fluent nonsense' when reasoning outside their training zone

A new study from Arizona State University researchers suggests that the celebrated "Chain-of-Thought" (CoT) reasoning in Large Language Models (LLMs) may be more of a "brittle mirage" than genuine ...
CNET

How Smart Do We Want AI to Be? World Models May Understand Things Better Than We Do

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world. Barbara is a tech writer specializing in AI and emerging technologies. With a ...