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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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Green University CA | Official

@centralasian_greenuniversity · Post #468 · 12/05/2025, 10:07 AM

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Co-creation Workshop on Climate and Air Quality 💬On December 4, Green University, together with Clean Air Asia and with the support from MOEJ, hosted a workshop in Tashkent focused on developing projects to improve air quality and reduce emissions. The workshop highlighted the JCM, project idea development, and knowledge exchange with international experts. The workshop: ⚪️Helped to explore the co-benefits of clean air and climate mitigation 🔵Introduced the Joint Crediting Mechanism (JCM) as a financing tool for low-carbon projects 🔴Developed Project Idea Notes (PINs) with city officials and experts 🟢Facilitated knowledge exchange with specialists from Japan and Asia #GreenUniversity#AirQuality#ClimateAction#SustainableCities#CleanAirAsia#JCM#Uzbekistan#EnvironmentalLeadership ✉️[email protected] ☎️ +998 55 512 00 77 📍Location 🌐Website | 📱Telegram | 📱Instagram | 📱LinkedIn | 🟥YouTube

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