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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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@ekologuzenglish · Post #11754 · 02/28/2026, 04:59 AM

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📍 Road from Surum to Tashaul 📅 Video recorded on February 26 The village of Surum (Sur-um) is located in Tashkent Region, bordering the Sergeli and Yangihayot districts of Tashkent (about 9 km from the center of Sergeli). The video shows thick dust from operating crushers. According to local residents, this situation has been ongoing for a long time. Residents complain about: ▪️ constant loud noise; ▪️ dense dust in the air; ▪️ difficulty breathing and worsening living conditions. The community asks authorities to pay attention to the environmental situation and take measures to reduce dust and noise levels. ❗️ The situation requires inspection by responsible agencies and an assessment of its impact on the environment and public health. #Environment#TashkentRegion#Dust#Noise#EnvironmentalIssue ☘️ Follow the latest environmental news on @ekologuz. Send your suggestions and feedback via @eklguz_bot!

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