A peer-reviewed paper about Chinese startup DeepSeek's models explains their training approach but not how they work through ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Learning a new language requires a lot of time, but not necessarily a lot of money. Whether you're traveling to a foreign country or studying for a class, these are the best free language learning ...

Whether you're looking to get ahead in your schoolwork, improve a business skill, edit video, or even master French pastry, the top online learning sites we've tested can help. I'm an expert in ...

We list the best language learning apps, to make it simple and easy to discover a new language or improve upon your existing skills with online resources. Are you finally ready to learn a new language ...

Abstract: Unmanned aerial vehicles, and special multirotor drones, have shown great relevance in a plethora of missions that require high affordance, field of view, and precision. Their limited ...

Abstract: Reinforcement Learning (RL) seeks to develop systems capable of autonomous decision-making by learning through interaction with their environment. Central to this process are reward ...

O thou pale orb that silent shines While care-untroubled mortals sleep! Thou seest a wretch who inly pines. And wanders here to wail and weep! With woe I nightly vigils keep, Beneath thy wan, ...

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.

RLinf is a flexible and scalable open-source infrastructure designed for post-training foundation models via reinforcement learning. The 'inf' in RLinf stands for Infrastructure, highlighting its role ...