Computerworld

Researchers tackle AI fact-checking failures with new LLM training technique

As the excitement about the immense potential of large language models (LLMs) dies down, now comes the hard work of ironing out the things they don’t do well. The word “hallucination” is the most ...
Opinion

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 ...
VentureBeat

Nvidia, Intel claim new LLM training speed records in new MLPerf 3.1 benchmark

Training AI models is a whole lot faster in 2023, according to the results from the MLPerf Training 3.1 benchmark released today. The pace of innovation in the generative AI space is breathtaking to ...
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 ...
Semiconductor Engineering

Optimizing LLM Training Under GPU Memory Constraints (Argonne, RIT)

A new technical paper titled “MLP-Offload: Multi-Level, Multi-Path Offloading for LLM Pre-training to Break the GPU Memory Wall” was published by researchers at Argonne National Laboratory and ...
ITWeb

Why data quality is non-negotiable for LLM training

A large language model (LLM), no matter its inherent architectural sophistication, is only as brilliant as the information it is fed. Businesses looking to take advantage of the potential of LLMs need ...
techtimes

NVIDIA Announces $9.6M Drop in Cost When Using Its GPUs for AI LLM Training

NVIDIA is now promoting how much people companies that want to train an AI LLM model can save when using the company's GPU. According to their estimates, the price of training their LLMs would drop ...