As large language models (LLMs) gain momentum worldwide, there’s a growing need for reliable ways to measure their performance. Benchmarks that evaluate LLM outputs allow developers to track ...

These new models are specially trained to recognize when an LLM is potentially going off the rails. If they don’t like how an interaction is going, they have the power to stop it. Of course, every ...

To stay up to date and work forward in their fields, scientists must have at their fingertips and in their minds thousands of published studies. Large language models (LLMs) show promise as a tool for ...

A meta-analysis suggests that large language model-simplified radiology reports improve patient understanding and readability ...

Lossfunk, an AI lab founded by Paras Chopra, created a prompting method that helps large language models produce Tulu text without prior training. Using grammar rules and negative constraints, ...

AI produces language without the memory, experience, or stakes of a human mind. Anti-intelligence describes language generated without a life behind it. The real shift isn’t smarter machines, it’s ...

Anthropic's latest Claude model assigned itself a 15% – 20% probability of being conscious during internal testing. Claude is the company's large language model that generates text in response to ...

Powered by Gensonix AI DB, Scientel ‘s LLM solution supports multiple DB nodes in a single LLM application Our ...

Explore how vision-language-action models like Helix, GR00T N1, and RT-1 are enabling robots to understand instructions and act autonomously.