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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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ChatGPT AI Technology News

@chatgpt_officialnews · Post #184 · 07/08/2025, 03:53 PM

🧠AI Robot Chef Learns 200+ Recipes by Watching YouTube At the University of Cambridge, researchers trained a robot chef to learn over 200 cooking recipes—just by watching YouTube videos! 📸 ❓Here’s how it works: 👀 The robot watches cooking videos 🧠 Uses AI to identify ingredients, tools, and steps 🧑‍🍳 Replicates the recipes on its own in a real kitchen! Even better? It rated the dishes and improved its skills over time—just like a real chef! 👨‍🍳📈 🎯Why it matters: AI is evolving from text and speech to physical interaction—blending computer vision, robotics, and deep learning to understand and act in the real world. NeuralHubAI might not cook your dinner (yet)… but we’re already helping you build, think, and create faster every day. What will you teach AI next? ✨ ➖➖➖➖🔻 🧠 BOT: @Chatgpt_OfficialBOT 💎@Chatgpt_OfficialNews #️⃣#AIrobot#NeuralHubAI#FutureTech#CookingWithAI ➖➖➖➖🔺