#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
🇪🇦#Spagna, elezioni in Castiglia e León: i popolari guidati dal presidente Alfonso Fernandez #Mañueco riconfermano il governo regionale. Sia i socialisti che Vox tengono a discapito dei provincialisti, oltre a Podemos e Ciudadanos che escono dal consiglio.
#PP (centrodestra): 35,5% (33 seggi)
#PSOE (centrosinistra): 30,7% (30)
#Vox (destra): 18,9% (14)
#UPL (regionalisti di León): 4,4% (3)
#XAV (provincialisti di Ávila): 0,9% (1)
#SY (provincialisti di Soria): 0,7% (1)
Affluenza: 59,7% (+0,9)