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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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@emagzinewspars · Post #9463 · 11/03/2025, 03:27 AM

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#The_National_Geographic🇺🇸📕[PDF]⬇️ #November2025 #Monthly_Magazines For learning, for free(dom). @backupofmagazines This issue tours big frontiers: a colossal #NuclearFusion tokamak in France promises star power on Earth; botanists curate the world’s deadliest garden; a teenage Sherpa resets who belongs on alpine peaks; macro art peers through a bug’s eye; new science reframes adult #ADHD; crested gibbons show robotlike dances; wildfire imagery from the #SierraNevada; archaeologists ink themselves to decode ancient tattoos; and medics test human hibernation for deep-space care. Essential reading for explorers and pragmatists alike. #NationalGeographic#Climate#Energy#Biodiversity#Wildfire#Photography#Neuroscience#Space#Innovation#Science#Sustainability#Tokamak#Fusion amid accelerating #AI research and #GlobalTrends, shaping tomorrow’s decisions.