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: Training machine learning models often involves solving high-dimensional stochastic optimization problems, where stochastic gradient-based algorithms are hindered by slow convergence.
Abstract: Global navigation satellite system (GNSS) based bistatic synthetic aperture radar interferometry (InBSAR) system enables 3D deformation monitoring through the association of measurements ...
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