Discover how Deepseek R2 is redefining AI with self-learning and advanced evaluation systems like GRM. The future of AI ...

verl is flexible and easy to use with: Easy extension of diverse RL algorithms: The hybrid-controller programming model enables flexible representation and efficient execution of complex Post-Training ...

While there are ways to bypass bias through Reinforcement Learning from Human Feedback (RLHF) and fine-tuning, the enterprise ...

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

The reasoning systems are based on a technology called large language models, or L.L.M.s. To build reasoning systems, ...

It seems that no matter the topic of conversation, online opinion around it will be split into two seemingly irreconcilable ...

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

Abstract: This letter presents a model-free deep reinforcement learning framework for informative path planning with heterogeneous fleets of autonomous surface vehicles to locate and collect plastic ...

In the ever-evolving world of artificial intelligence (AI), the ability to make effective decisions is a cornerstone of ...

The initial model lineup includes five base sizes: 3 billion, 8 billion, 14 billion, 32 billion, and 70 billion parameters.