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Source channel @githubtrending · Post #15340 · Dec 17

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#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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@android_mod_featured · Post #1147 · 11/01/2024, 06:46 PM

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Drops - 点滴学语言 版本：38.47 外语学习高效轻松上手 德语西班牙语意大利语法语土耳其语俄语小语种词汇入门神器 • 解锁 Pro 高级版 • 去除广告 🔗 点击下载 #Drops#教育

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@kejiqu · Post #3648 · 07/19/2025, 01:01 AM

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谷歌推出“Gemini Drops”，新增生产力规划师 Gem 谷歌宣布推出“Gemini Drops”功能更新，效仿Pixel和Workspace，为其生成式人工智能模型带来新功能。此次更新的重点是“生产力规划师 Gem”，旨在提升用户的工作效率。此次更新标志着Gemini正式加入了定期功能更新的行列。9to5Google 🏷#Gemini#Drops#生产力规划师#Gem#更新 📢频道👥群组📝投稿

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