#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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Reports say a staff mistake during an airdrop sent 2,000 $BTC($133M) instead of a small KRW reward.
Some users sold it right away, causing the price to drop fast.
JUST IN : 💰🚨Bitcoin on #Bithumb suddenly dropped, trading over 10% below other markets.
Reports say a staff mistake during an airdrop sent 2,000 $BTC($133M) instead of a small KRW reward.
Some users sold it right away, causing the price to drop fast.
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