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Source channel @githubtrending · Post #15340 · Dec 17

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#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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@limnosdsstation · Post #11040 · 04/09/2026, 07:50 PM

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#VRchat https://x.com/PURA_GE/status/2042156883835023466 プラスチックくらげ : 「ねぇ…実は…💕 ずらしギミックを入れたの…💕」 ──？？？？どこをずらすの？？？ 「照準。」 * 「呐……那个……其实我把扒开那个的功能给装上了哦……💕」 ──？？？？具体是指把什么扒开？？？ 「准星。」 **“我最多陪你玩7分钟”——威斯克

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