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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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@truegames · Post #96 · 01/17/2025, 03:55 PM
🔥 The Second Semifinal: It will be difficult to choose 🔥 🐉 Haku: Can his wisdom (and maybe a good dentist) defeat "Toothless"? Or will he "Spirited away"? 🐲 Toothless: If he doesn’t bite Haku, his overwhelming cuteness might just win this battle. The final boss is waiting—a massive Smaug who fears hobbits and shiny gold rings. Who will take him on? Vote bellow! #DragonsCall#TrueLabGames
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@truegames · Post #120 · 01/31/2025, 03:08 PM
🔥1 week after Dragon's Call release and we got: 👾70,000players played 😮x1268max win In celebration of this we redesign game cover in different art styles🎨, try to guess what those styles are! #dragonscall#truelab#slots
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@truegames · Post #67 · 12/26/2024, 03:52 PM
It's all kind of foggy👀 Did you hear that? It sounds like a dragon's wing...🐲 #Truelabgames#slots#OnlineCasino#Dragonscall
@truegames · Post #119 · 01/30/2025, 04:52 PM
Our new column - Panda news from Dragon's Call📰 Today we discuss Colombia's tax hike in gambling💔 What do you think of this format?🐼 #news#pandanews#slots#dragonscall