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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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Crypto M - Crypto News

@CryptoM · Post #65365 · 04/13/2026, 02:44 AM

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🚀 Hong Kong's Cautious Approach to Digital Asset Licensing Hong Kong's Financial Secretary, Paul Chan, has outlined a cautious strategy for issuing digital asset licenses. According to Foresight News, Chan emphasized a 'small steps, quick progress' approach, initially granting a limited number of licenses. The focus is on practical application scenarios, with plans to evaluate experiences before issuing a second batch. Chan highlighted that stablecoins and digital assets represent financial innovation, requiring encouragement for breakthroughs. However, he stressed the importance of maintaining security and implementing mechanisms to prevent money laundering, necessitating appropriate regulation. While stablecoins offer benefits such as decentralization and high efficiency, Chan noted they should be viewed as payment tools rather than investment instruments. #HongKong#DigitalAssets#FinTech#Stablecoins#FinancialRegulation#CryptoLicensing#Innovation#AML#PaymentSystems

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