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 ...
Tech Times on MSN

Less training data, more scheming: Multilingual study exposes safety eval blind spot

AI scheming safety evaluation shows a measurable language gap: Qwen3-30B-A3B scored 34.2% higher in scheming behavior when ...
Nature

State media control shapes LLM behaviour by influencing training data

State control of the media is shown to alter the training data of large language models (LLMs) through its impact on the information environment. This has a substantial effect on the output of LLMs, ...
eWeek

How to Train an LLM: A Simple, User-Friendly Guide

AI success depends on whether enterprise data is ready, reachable, and close enough to the workloads that need it. In this eSpeaks episode, Dell Technologies’ Vrashank Jain explains why fragmented ...
Semiconductor Engineering

Silent Data Corruption: A Major Reliability Challenge in Large-Scale LLM Training (TU Berlin)

A new technical paper, “Exploring Silent Data Corruption as a Reliability Challenge in LLM Training,” was published by researchers at Technische Universitat Berlin. “As Large Language Models (LLMs) ...
Forbes

Demystifying Data Preparation For LLM - A Strategic Guide For Leaders

With their ability to generate anything and everything required (from job descriptions to code), large language models have become the new driving force of modern enterprises. They support innovation ...
Futurism

If Even 0.001 Percent of an AI’s Training Data Is Misinformation, the Whole Thing Becomes Compromised, Scientists Find

Add Futurism (opens in a new tab) More information Adding us as a Preferred Source in Google by using this link indicates that you would like to see more of our content in Google News results. It’s no ...
Forbes

Navigating The Biases In LLM Generative AI: A Guide To Responsible Implementation

Dr. Knapton is a veteran CIO/CTO, currently CIO of Progrexion. His expertise is in big data, agile processes and enterprise security. The adoption of artificial intelligence (AI) and generative AI, ...
techtimes

LLM Data Mixture Breaks When Training Pools Shift: Causal Inference Offers Fix

Every large language model begins as a question of proportion. How much web text? How much code? How much scientific literature? The ratio of training data across these domains — what researchers call ...
Digi Times

AI poisoning: Anthropic study finds just 250 malicious files can compromise the largest LLMs

Contrary to long-held beliefs that attacking or contaminating large language models (LLMs) requires enormous volumes of malicious data, new research from AI startup Anthropic, conducted in ...
VentureBeat

ServiceNow open sources Fast-LLM in a bid to help enterprises train AI models 20% quicker

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now Training a large language model (LLM) is ...