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Source channel @githubtrending · Post #15340 · Dec 17

#python#gym#gym_environment#reinforcement_learning#reinforcement_learning_agent#reinforcement_learning_environments#rl_environment#rl_training NeMo Gym helps you build and run reinforcement‑learning training environments for large language models, letting you develop, test, and collect verified rollouts separately from the training loop and integrate with your preferred RL framework and model endpoints (OpenAI, vLLM, etc.). It includes ready resource servers, datasets, and patterns for multi‑step, multi‑turn, and tool‑using scenarios, runs on a typical dev machine (no GPU required), and is early-stage with evolving APIs and docs. Benefit: you can generate high‑quality, verifiable training data faster and plug it into existing training pipelines to improve model behavior. https://github.com/NVIDIA-NeMo/Gym

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@CryptoM · Post #64584 · 04/09/2026, 09:15 AM

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🚀 Dubai's VARA Issues Guidance on Virtual Asset Issuance Dubai's Virtual Assets Regulatory Authority (VARA) has released guidance detailing the structuring, disclosure, and distribution of virtual assets, including stablecoins and real-world asset tokens. According to NS3.AI, the document outlines three issuance pathways, specifying that Category 2 issuances must be distributed through intermediaries licensed by VARA. This guidance serves to interpret VARA's existing issuance rulebook rather than establish new laws. Ruben Bombardi, general counsel at VARA, stated that the framework aims to provide issuers with enhanced regulatory clarity and assist users in making more informed decisions. #Dubai#VARA#VirtualAssets#Stablecoins#RealWorldAssetTokens#RegulatoryGuidance#IssuancePathways#CryptoRegulation#Blockchain#DigitalAssets

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