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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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@cosplayuploadtest2 · Post #102118 · 03/23/2025, 03:01 AM
Title: Mao_Imaizumi_今泉まお,_Minisuka.tv_Regular_Gallery_02.03 Authors: #None Tags: #None#Mao_Imaizumi_今泉まお#Minisuka#tv#Mao#Imaizumi#今泉まお#Minisuka#tv#Regular#Gallery #02 #03 recommendation: None TelegraphLinks:page-0-55
@cosplayuploadtest2 · Post #102231 · 03/23/2025, 03:07 AM
Title: Mao_Imaizumi_今泉まお,_Minisuka.tv_Secret_Gallery_Stage1_Set_01 Authors: #None Tags: #None#Mao_Imaizumi_今泉まお#Minisuka#tv#Mao#Imaizumi#今泉まお#Minisuka#tv#Secret#Gallery#Stage1#Set #01 recommendation: None TelegraphLinks:page-0-37
@limnosdsstation · Post #10256 · 02/26/2026, 05:25 AM
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