verl is a flexible, efficient and production-ready RL training library for large language models (LLMs). verl is the open-source version of HybridFlow: A Flexible and Efficient RLHF Framework paper.

The paper's author, Ashish Reddy Kumbham, presents an innovative system that moves beyond traditional defense mechanisms. In ...

A new agentic approach called 'streams' will let AI models learn from the experience of the environment without human ...

Machine learning is no longer just a tech buzzword. Businesses face constant pressure to stay competitive in an ever-changing digital environment. Many feel overwhelmed by the rapid pace of change […] ...

The collaboration unlocks advanced simulation tools, real-time edge computing, and reinforcement learning to significantly ...

ORLANDO, FL, UNITED STATES, April 15, 2025 /EINPresswire.com/ -- Thor Dynamics, a leading developer of directed energy systems, today announced a major upgrade to its flagship product, Laser Armor™, ...

Two projects looking to develop ways of safely deploying artificial intelligence are being led by University of Oxford researchers.

In the fast-paced world of online transactions, fraud prevention is a critical challenge for businesses. As fraud tactics ...

The capabilities of the SenseNova V6 model have been greatly enhanced, with strong advantages in long CoT, reasoning, ...

It achieved an 8.0% higher win rate over DeepSeek R1, suggesting that its strengths generalize beyond just logic or math-heavy challenges.

Understanding intelligence and creating intelligent machines are grand scientific challenges of our times. The ability to learn from experience is a cornerstone of intelligence for machines and living ...

collaborated with researchers from the Beijing institution on a paper detailing a novel approach to reinforcement learning to make models more efficient.