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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 #64885 · 04/10/2026, 06:54 AM

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🚀 Tria Integrates Aptos Network for Enhanced Global Transactions Tria, a non-custodial financial operating system, has announced the integration of its global trading engine with the Aptos network. According to ChainCatcher, this integration allows over 500,000 users across more than 150 countries to directly access and trade Aptos assets. Users can now perform cross-chain exchanges and asset interactions within a single application without the need for cross-chain bridges. The collaboration aims to leverage Aptos's sub-second confirmation and parallel execution technology to provide users with a seamless transaction experience. Additionally, it seeks to further connect traditional finance, Web2, and on-chain infrastructure. #Tria#AptosNetwork#GlobalTransactions#NonCustodial#FinancialOperatingSystem#CrossChainExchanges#AssetInteractions#Blockchain#Web2#OnChainInfrastructure#Aptos#Crypto#DecentralizedFinance#Fintech#APT

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