#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
TON — LIVE: Telegram Rises in Popularity Rankings
#Telegram#apps
The channel TON — LIVE reports that Telegram has moved up one rank in the list of the most popular apps for 2025.
Source: link
@tonlines
⚡️Trending Apps: New Voting System in Telegram Apps Center
#Telegram#Apps
Trending Apps announces that users can now influence the ranking of Mini Apps through a new voting system in the Telegram Apps Center. Active participants will be rewarded with exclusive SBTs and Telegram Gifts.
Source: link
@tonlines
⚡️Trending Apps: Upcoming Feature in Apps Center
#Telegram#Apps
Trending Apps announced a new feature in the Apps Center, aiming to enhance user engagement by allowing users to influence developments directly. This innovative approach is set to launch within the next 30 days, with more details to be revealed gradually.
Source: link
@tonlines
A partir de hoy amigos, estaré entregando #apps, recursos, plataformas y tips para usar la tecnología a su favor y mejorar las condiciones de #empleo📄📈