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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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BadVolf

@badvolfnews · Post #1516 · 03/16/2024, 06:08 PM

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🇷🇺❤Today marks a monumental chapter in my journey, as I proudly announce that I've become a Russian citizen and participated in my very first election here. This significant step is more than just a formal process; it symbolizes my deep connection and commitment to my new home, its people, and its future. As I stood in the polling station, casting my vote, I was overwhelmed with a sense of responsibility and belonging. This act of civic engagement is a powerful reminder of the role we each play in shaping the course of our community and nation. It's a day filled with emotions - pride, hope, and anticipation for what lies ahead. Joining my fellow citizens in this democratic process, I felt a strong bond of unity and shared purpose. Here's to embracing new beginnings, contributing to the collective future, and making every moment count in this beautiful journey. #Citizenship#ElectionDay#NewChapter#RussianCitizen🇷🇺✨

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