#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
🪙EthGlobalNews | #BTC Corporate Holdings Update
📊 Michael Saylor’s MicroStrategy still tops the list with 640,808 BTC, yet its dominance has slipped to 60% as more companies join the treasury wave.
🟠企業持幣版圖持續擴張,越來越多上市公司將比特幣納入資產負債表,集中度正在下降。
⚡️ 機構化持幣結構轉向多元,顯示「企業級 FOMO」已開始蔓延。
#比特币#Institutions#Markets#Insight
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