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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 #65388 · 04/13/2026, 04:14 AM

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🚀 AINFT Platform Surpasses 700,000 Users, Advances in Web3 AI The AINFT platform has officially exceeded 700,000 users, according to official data. According to Odaily, the growing user base and the continuous enhancement of AI model capabilities are propelling it to become a leading AI platform in the Web3 sector. AINFT currently offers users AI models ready for production and fully supports the execution of on-chain automated workflows, facilitating a rapid transition from creative ideas to on-chain implementation. Leveraging its expanding community and open technical architecture, AINFT aims to lower the barriers to using Web3 AI, enabling more efficient deployment of innovative applications. #AINFT#700000Users#Web3#AIPlatform#AI#Blockchain#OnChain#AutomatedWorkflows#Web3AI#Innovation#Technology#Community

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