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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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@PTPPAction · Post #2058 · 06/02/2024, 02:55 AM

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#hui-shao:dev #hui-shao #open 抢先体验版本不保证稳定性 fix(pig): HnR count. fix(pig): HnR count. 修复 H&R 计数 测试截图： !2024-06-02_104700

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@PTPPAction · Post #1475 · 12/25/2023, 03:15 PM

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#hui-shao:dev #hui-shao #open fix(u2): 修复非简体中文语言环境下上传量和下载量获取的问题

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@bubbletealuv · Post #2572 · 10/09/2024, 06:37 AM

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ᝬ 🤩𖠵 ゛ (( 🐰) new post by bubbletealuv ↝ #Hui ➛ #Pentagon.. ✨ …( emoji ) 💭 взяли? буду рада увидеть плюсы и реакции!!

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