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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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Addis Standard

@addisstandardeng · Post #21208 · 01/27/2026, 01:35 PM

#Afar: Delivering lifesaving nutrition across one of #Ethiopia’s harshest landscapes Once you leave the city of #Semera behind, the Ethiopian landscape quickly opens into vast stretches of dry earth that seem to run endlessly toward the horizon. Sparse green bushes dot the dusty ground, framed by distant mountains and volcanoes that define the Afari landscape. As our vehicles drive toward the town of Magenta to deliver nutrition to children through Doctors Without Borders/Médecins Sans Frontières (#MSF) outreach activities, a river runs alongside the road. One of the main challenges faced by local communities is right in front of our eyes: water. Afar, crossed by the Danakil Depression marking the northern end of the East African Rift Valley, is considered one of the hottest inhabited places on Earth. Water availability and quality in the region are strongly influenced by its..... https://www.facebook.com/AddisstandardEng/posts/pfbid02eyGnawFb7VhMHg63k8WpiMijY9FpwCawUmrdsKrtzRv4KyRYPzEBTN3ngQUxCZpEl