PRIME-RL is a framework for large-scale asynchronous reinforcement learning. It is designed to be easy-to-use and hackable, yet capable of scaling to 1000+ GPUs. Beyond that, here is why we think you ...
Ready to unlock your full math potential? 🎓Follow for clear, fun, and easy-to-follow lessons that will boost your skills, build your confidence, and help you master math like a genius—one step at a ...
Abstract: Automatic transistor sizing is a challenging problem in circuit design due to the large design space, complex performance tradeoffs, and fast technology advancements. Although there have ...
"Learn how to set up and analyze an RC circuit using the PhET Simulator! In this tutorial, I’ll guide you through the step-by-step process of building a simple resistor-capacitor circuit, explaining ...
Abstract: The presence of axial nonuniformity poses challenges in the modelling of induction machines (IMs) by disrupting the machine cross-sectional consistency. To tackle these challenges, this ...
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.