#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
Минус пара-тройка выходных — и вуаля! Мы наконец-то прошли проверку, и теперь у нас, как у взрослых разработчиков, есть своя страничка в Steam!
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Каждый ваш вишлист — на вес золота для нас! Он помогает в продвижении проекта и делает нас заметнее в этом жестоком мире геймдева. Ценим. Любим
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https://store.steampowered.com/app/3487760/Froggy_Jelly_Punch/
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A couple of weekends down the drain — and voilà! We finally passed the review, and now we have our very own Steam page, just like the grown-up devs do!
You can wishlist it and share the link with your friends
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Every single wishlist is pure gold for us! It helps boost the project’s visibility and makes us stand out in this tough world of gamedev. We appreciate it. We love you
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