#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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Direction: SHORT 📉
#MOVE/USDT Take-Profit Target 3🎯
Profit : 25.71% with 10x Leverage
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Long or short doesn’t matter. What matters is we win.
t.me/BULLSTAR_ADMIN
We are excited to announce that @HaedalProtocol has officially completed the Sui smart contract audit conducted by @MoveBit_ , an expert and leading security firm on the #Move ecosystem.
https://twitter.com/HaedalProtocol/status/1696100358735733089?s=20
@everyone
#move#usdc
🎉 В Movement объявили о запуске собственного стейблкоина USDCx – анонс
USDCx обеспечен USDC в соотношении 1:1.
Ранее: L1-блокчейн от Movement
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📊 گزارش داده:
🚨 برترین #آزادسازی توکن ها در روز های آتی:
📌 بیشترین آزاد سازی ها:
🥇#SUI (۲۶۹ میلیون دلار)
🥈#OP (۵۸ میلیون دلار)
🥉#MOVE (۴۹ میلیون دلار)
🔽 آزاد سازیِ توکن در حجم هایِ بالا میتواند باعثِ کاهشِ قیمت و یا در بلند مدت مانع از رشدِ قیمت شود.
@ScorpionX_Co☑️