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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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TONlines – News

@tonlines · Post #7271 · 05/19/2025, 09:08 AM

Enhance Your tsTON Earnings with Tonstakers #tsTON#DeFi Tonstakers channel highlights the versatility of tsTON, which retains the liquidity and value of staked TON while maximizing rewards. Leveraging tsTON in DeFi protocols can yield additional APRs, ranging from 3.8% to 39%, and offers opportunities for diversified strategies and advanced staking techniques. Source: link @tonlines

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TONlines – News

@tonlines · Post #7098 · 05/08/2025, 09:44 AM

⚡️Tonstakers: Introducing the First tsTON/TON Stableswap Pool #STON#tsTON Tonstakers announces the launch of the first tsTON/TON stableswap pool on STON.fi. This pool features significantly reduced slippage and ultra-low fees, alongside incentives for liquidity providers, offering a current reward rate of 15% APR. Source: link @tonlines

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