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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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Language Trivia 🤔

@languagetrivia · Post #549 · 12/28/2024, 03:28 PM

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🔴 What is the name of this ceramic glaze? A) Celadon B) Gamboge C) Sang de Boeuf D) Sepia @languagetrivia#image

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Tomoko RD

@tomoko_channel · Post #507 · 06/30/2024, 02:05 PM

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🔖 从零开始搭建你的免费图床系统 （Cloudflare R2 + WebP Cloud + PicGo） · Pseudoyu #pinboard#image 可以作为参考方案 https://www.pseudoyu.com/zh/2024/06/30/free_image_hosting_system_using_r2_webp_cloud_and_picgo/

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