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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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SLEX NEWS

@slex_io · Post #163 · 02/23/2024, 09:21 AM

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🤝New Exciting Partnership: SLEX Exchange Has Joined the Syscoin Ecosystem🥳 ☄️We're thrilled to announce that SLEX Exchange is now a member of the Syscoin ecosystem. It supports low-cost transactions, high throughput, and a variety of decentralized finance (DeFi) applications, making it an attractive ecosystem for developers and users alike✨ 📊Joining the Syscoin ecosystem is part of our broader initiative to support a diverse range of blockchains, enhancing the trading experience for our users. We're excited to support the following blockchains, each bringing unique strengths to the table: 🔗Scroll 🔗Zora 🔗Arbitrum 🔗Optimism 🔗zkSync 🔗Linea 🔗Base 🔥Stay tuned for more updates as SLEX will continue to grow and evolve, providing new exciting features for efficient trading! #SLEXExchange#SyscoinEcosystem#BlockchainDiversity#CryptoTrading#Innovation#FutureFinance

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