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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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Marwa Osman/MidEaStream

@Marwa_OsmanLB · Post #4170 · 03/17/2025, 12:02 PM

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Yemeni Media reported that approximately 40 U.S. airstrikes targeting the capital, #Sanaa, as well as Saada and Al-Bayda, have resulted in an initial toll of 32 dead and over 100 wounded, the majority of whom are women and children. The strikes are expected to continue for weeks. Four airstrikes hit the Al-Jeraf neighborhood in northern Sanaa, killing ten people and injuring 13 others. Additional strikes targeted the Attan and Jarban areas in the Sanhan district of Sanaa province. In #Saada, reports indicate that airstrikes on two homes in the Qahza area, north of the city, led to a rising casualty count of ten dead and 13 wounded. Meanwhile, the U.S. Central Command (#CENTCOM) confirmed that it had carried out a series of airstrikes against "Ansarullah" targets across #Yemen. CENTCOM stated that the operations involved precision strikes, justifying them as measures to defend U.S. interests, deter adversaries, and restore freedom of maritime navigation. #RedSea#DonaldTrump

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