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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 #64721 · 04/09/2026, 04:04 PM

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🚀 U.S. Treasury Launches Cybersecurity Initiative for Digital Assets The U.S. Treasury's Office of Cybersecurity and Critical Infrastructure Protection (OCCIP) announced a new initiative on April 9 aimed at bolstering cybersecurity within the digital asset sector. According to BlockBeats, this initiative will provide eligible U.S. digital asset companies and industry organizations with timely and actionable cybersecurity information. The goal is to enhance their ability to identify, prevent, and respond to cyber threats targeting their customers and networks. This action implements a key recommendation from the President's Working Group on Financial Markets report titled 'Strengthening U.S. Leadership in Digital Financial Technology.' #USTreasury#Cybersecurity#DigitalAssets#OCCIP#CriticalInfrastructure#FinancialMarkets#CyberThreats#DigitalFinancialTechnology

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