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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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Crypto M - Crypto News

@CryptoM · Post #65120 · 04/11/2026, 05:33 AM

🚀 AI TRENDS | Baidu Smart Cloud Launches Embodied Intelligence Data Marketplace On April 11, Baidu Smart Cloud announced the launch of its Embodied Intelligence Data Marketplace (Beta version) in collaboration with several embodied intelligence companies, including Ling Sheng Technology, Fourier, Wei Tai Technology, Tuo Yuan Wisdom, Shu Tu Technology, and Song Ying Technology. According to Jin10, this marketplace introduces a pioneering hierarchical and scalable data labeling system designed to accelerate the large-scale implementation of embodied intelligence. Currently, Baidu Smart Cloud is providing services to over 30 embodied intelligence enterprises, including Zhi Yuan and Yu Shu. #AI#BaiduSmartCloud#EmbodiedIntelligence#DataMarketplace#LingShengTechnology#Fourier#WeiTaiTechnology#TuoYuanWisdom#ShuTuTechnology#SongYingTechnology#DataLabeling#TechCollaboration#Jin10#ZhiYuan#YuShu