#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
⚡️Los Rays en sus últimas 4 series:
Barreda de 3-0 contra los Twins
Victoria de la serie de 2-1 contra los Guardians
Barreda de 3-0 contra los Giants
Barreda de 3-0 contra los Blue Jays
Tampa Bay está en una racha ganadora ☀️
#Rays
🗞 | t.me/MLB_Daily
⚡️🦐 Según se informa, el lanzador derecho Nick Martinez y los Rays han llegado a un acuerdo de contrato por un año.
#️⃣#Rays#NMartínez
🗞 | t.me/MLB_Daily
💥💱 𝑻𝑹𝑨𝑫𝑬 𝑨𝑳𝑬𝑹𝑻 💱💥
🦤 Orioles reciben a:
⚡️ RHP Shane Baz
⚡️ Rays reciben a:
⚾️ OF Slater de Brun (Prospecto #6 de Orioles)
⚾️ C Caden Bodine (Prospecto #10 de Orioles)
🧢 RHP Michael Forret (Prospecto #11 de Orioles)
⚾️ OF Austin Overn (Prospecto #30 de Orioles)
- una selección de la Ronda A de Equilibrio Competitivo
#️⃣#Trade#Orioles#Rays#Baz#DeBrun#Bodine#Forret#Overn
🗞 | t.me/MLB_Daily