Enterprises seeking to make good on the promise of agentic AI will need a platform for building, wrangling, and monitoring AI agents in purposeful workflows. In this quickly evolving space, myriad ...

Transformer Weekly: The AI Campaign Finance Tracker, DoD vs Anthropic, and Commerce vs White House ...

The history of technology is written not just in laboratories and corporate campuses, but in the moments when the people who built ...

Whether you are looking for an LLM with more safety guardrails or one completely without them, someone has probably built it.

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.

Editor's note: This is an automatically generated transcript. Please notify [email protected] if there are concerns regarding accuracy of the transcription. AI is a great emerging area, and obviously, ...

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 ...

IN 1942, science fiction writer Isaac Asimov published the short story Runaround and introduced what would become one of the most famous ideas in the history of robotics. The Three Laws of Robotics ...

Though new regulatory frameworks address fairness, accountability, and safety in AI systems, they often fail to directly mitigate the subtle communication bias in LLMs that can distort public ...

Google Research has proposed a training method that teaches large language models to approximate Bayesian reasoning by learning from the predictions of an optimal Bayesian system. The approach focuses ...

Mistral AI launches Forge, an enterprise AI training platform that lets companies build custom models on proprietary data and ...