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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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DSR Corporation News

@dsr_news · Post #1036 · 06/19/2025, 09:18 AM

❓Интересуешься внедрением DI в Kotlin-скрипты и хочешь избежать tight coupling? Мы подробно разобрали это в свежей статье на Medium — ‘Keep your scripts decoupled: flexible and safe dependency injection for Kotlin Scripts’! Наши инженеры: Игорь Покотило, Senior Software Engineer, и Константин Некрасов, Principal Software Engineer рассказывают: ✅ как внедрить DI в скрипты так, чтобы не переписывать их при развитии приложения ✅ как использовать Spring IoC ✅ и как при этом не завязать бизнес-логику на инфраструктуру 📖 Читать: ссылка ✍️ Статья на английском языке #Kotlin#DependencyInjection#BackendDevelopment

Repositorio data science

@repo_science · Post #4259 · 12/08/2025, 03:46 AM

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