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.

Abstract: The traditional electric carbon emission assessment model can no longer meet the increasingly complex and changeable needs of enterprises. Based on big data analysis and big data technology, ...

This paper proposes a concept of a global currency and introduces a “global currency pricing” (GCP) specification into a standard N-country open economy macroeconomic model. A global currency is ...

Physics-Informed Reinforcement Learning for Large-Scale EV Smart Charging Considering Distribution Network Voltage Constraints arXiv https://github.com/StavrosOrf ...

Abstract: Trust is a critical issue in the field of human-vehicle interaction. In order to improve the efficiency of co-driving system while ensuring the safety and comfort of autonomous vehicles (AVs ...

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI Here we are in a time when the world has discarded previous ...