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 ...
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 ...
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 ...
Forbes

Exploring Practical LLM Research In Class At MIT

To many who are looking closely at where technology is going, it’s a bewildering landscape – there’s a lot of complexity, and quite a lot of uncertainty, as we move forward. One thing that many people ...
MIT Technology Review

Forcing LLMs to be evil during training can make them nicer in the long run

New Anthropic research shows that undesirable LLM traits can be detected—and even prevented—by examining and manipulating the model’s inner workings. A new study from Anthropic suggests that traits ...