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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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@PTPPAction · Post #2399 · 10/19/2024, 12:10 PM

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#Rhilip#open 抢先体验版本不保证稳定性 feat: add lemonhd commit Merge branch 'dev' into dev * feat: add lemonhd 描述屏幕截图 2024-10-19 193700 屏幕截图 2024-10-19 193218

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@PTPPAction · Post #1982 · 05/10/2024, 02:05 PM

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#Rhilip:dev_full_vite #Rhilip#open 抢先体验版本不保证稳定性 build: full use vite to build pkg deps: use vite plugin to provide node polyfills 移除webpack构建部分，全部转为vite构建。普通用户请勿在生产环境中使用本pr的相关action构建。

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@PTPPAction · Post #1970 · 05/08/2024, 03:50 PM

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#Rhilip:dev_full_vite #Rhilip#open build: full use vite to build pkg

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@PTPPAction · Post #1967 · 05/08/2024, 03:45 PM

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#Rhilip:dev_full_vite #Rhilip#open build: full use vite to build pkg