OfficeChai

Yann LeCun Explains How Current LLMs Are Only Trained On As Much Data As A 4-Year-Old Child

Modern LLMs are trained on massive amounts of data, but this data pales in comparison to the data a human child is ...

Quantum Acceleration For Frontier AI: Does It Cut The Cost Of Training?

Where, exactly, could quantum hardware reduce end-to-end training cost rather than merely improve asymptotic complexity on a ...
SDxCentral

TensorOpera and Aethir Team Up to Advance Massive-Scale LLM Training on Decentralized Cloud

PALO ALTO, Calif.--(BUSINESS WIRE)--TensorOpera, the company providing “Your Generative AI Platform at Scale,” has partnered with Aethir, a distributed cloud infrastructure provider, to accelerate its ...
Business Wire

Red Hat Launches the llm-d Community, Powering Distributed Gen AI Inference at Scale

Forged in collaboration with founding contributors CoreWeave, Google Cloud, IBM Research and NVIDIA and joined by industry leaders AMD, Cisco, Hugging Face, Intel, Lambda and Mistral AI and university ...
Hosted on MSN

Anthropic study reveals it's actually even easier to poison LLM training data than first thought

Claude-creator Anthropic has found that it's actually easier to 'poison' Large Language Models than previously thought. In a recent blog post, Anthropic explains that as few as "250 malicious ...
Semiconductor Engineering

Detailed Study of Performance Modeling For LLM Implementations At Scale (imec)

A new technical paper titled “System-performance and cost modeling of Large Language Model training and inference” was published by researchers at imec. “Large language models (LLMs), based on ...
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 ...
Futurism

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

It’s no secret that large language models (LLMs) like the ones that power popular chatbots like ChatGPT are surprisingly fallible. Even the most advanced ones still have a nagging tendency to contort ...
PC Gamer

Anthropic reveals that as few as '250 malicious documents' are all it takes to poison an LLM's training data, regardless of model size

Don't sleep on this study. When you purchase through links on our site, we may earn an affiliate commission. Here’s how it works. Add us as a preferred source on Google Claude-creator Anthropic has ...
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 ...