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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 #64538 · 04/09/2026, 06:45 AM

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🚀 Satoshi Protocol Layer2 Settlement Network Launches with Upgrades The Satoshi Protocol Layer2 settlement network officially launched on April 6, introducing enhancements in on-chain data statistics and computational capabilities. According to ChainCatcher, the Layer2 network now supports deep cumulative calculations on-chain, allowing for a more accurate reflection of team sizes and business data, thereby improving processing efficiency in complex scenarios. In terms of governance, the protocol has transferred core permissions to a multi-signature contract and adopted a dual-track governance model, with developers and core community members each holding 50% of the decision-making power. The execution threshold is set at 65%, further enhancing decentralization. This upgrade marks the protocol's transition towards community autonomy, providing a reference for technology and governance in the DeFi sector. #SatoshiProtocol#Layer2#Blockchain#DeFi#Governance#Decentralization#OnChainData#NetworkLaunch#Crypto#MultiSignature#ProtocolUpgrade#CommunityAutonomy

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