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 ...
2UrbanGirls on MSN

10 data collection techniques for NLP & LLM training

NLP and LLM teams often grow their training corpuses to improve model performance but they still do not always obtain ...
TechRepublic

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

In this TechRepublic interview, Cisco researcher Amy Chang details the decomposition method and shares how organizations can protect themselves from LLM data extraction. Cisco Talos AI security ...
Cult of Mac

How Apple gets AI training data without violating anyone’s privacy

Apple’s AI efforts don’t have to be hampered by its commitment to user privacy. A blog post published Monday explains how the company can generate the data needed to train its large language models ...
VentureBeat

Researchers warn of 'catastrophic overtraining' in LLMs

A new academic study challenges a core assumption in developing large language models (LLMs), warning that more pre-training data may not always lead to better models. Researchers from some of the ...
IEEE Spectrum on MSN

Large tabular models excel where LLMs fail

Startup’s foundation model NEXUS tackles spreadsheets, AI’s surprising final frontier ...
Ars Technica

LLMs believe false statements even after explicit warnings that they’re false

Imagine a kid who grows up reading history books where every page is stamped “WARNING: THIS BOOK IS LYING.” You’d expect them to come away skeptical, or at least uncertain. New research on so-called ...