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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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Google Facts™ [ ️@googlefactss🌎]

@googlefactss · Post #40824 · 03/18/2026, 08:32 PM

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Only about 30 locations worldwide feature singing dunes, primarily crescent-shaped barchans, found in deserts like the Gobi, Mojave, and Taklamakan. These dunes produce deep hums or musical notes when sand avalanches slide down their slopes. The sound happens as grains of sand rub together, creating vibrations amplified by the dune’s structure, much like a violin or cello. The sand must be dry, with grains that are uniform in size and spherical, allowing for optimal vibration transfer. Acting like a natural instrument, the dune resonates and amplifies the sound, which can be heard up to 10 km away. This unique phenomenon can last for minutes, depending on the dune. Not all dunes sing, as specific conditions—like dry sand and the right grain size—are required for the sound. 🎶🏜️🎵 [Read and hear more] [Read and see more] @googlefactss #SingingDunes#DesertSounds#NatureScience#GeologicalWonders#MusicalDunes#Dune

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