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: This study aimed to investigate the potential human-computer interaction factors (HCI) affecting students’ behavioural intentions (BI) to use the e-learning system and perceive success. This ...
Abstract: In recent years, deep learning methodologies have been increasingly applied to the intricate challenges of visual-inertial odometry (VIO), especially in scenarios with rapid movements and ...
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