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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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EKOLOG.UZ| ENG

@ekologuzenglish · Post #11165 · 01/12/2026, 08:02 AM

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🌱 Falsification in the “Green Space” Project and the Question of Responsibility! In the Yakkabog district of Qashqadaryo region, as part of the “Green Space 2025” project, unsown tree seedlings were entered into the electronic platform as planted, which distorts the official reports. Instead of fairly implementing the wise environmental policy of our respected President, some managers intimidated employees, artificially inflating the numbers: as a result, it appears that 70–80% more trees were added in the green area. According to the whistleblower, the head of the Yakkabog district ecology department handed over the electronic platform key to the municipal improvement employees, which allowed incorrect data about the trees to be entered. The actions of Y. Jumayev should be thoroughly investigated by the Committee on Ecology, and the managers involved in the falsification should be held accountable. 🌿 Protecting nature is the responsibility not only of employees but of society as a whole! #GreenSpace#Ecology#Qashqadaryo#Responsibility#Justice#SaveNature ☘️Read the latest environmental news on the @ekologuz page. Follow us and send your suggestions and wishes via @eklguz_bot Instagram | Facebook | Twitter | Sayt | Youtube

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