#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
🐂🐂🐂🐂🐂🐂
According to analysts, a BTC-ETF called #iShares Bitcoin Trust from #BlackRock has surpassed #GTC from Grayscale in terms of the number of coins at its core. Accordingly, it is now the largest #BTC spot exchange-traded fund in the United States.
Bloomberg analyst Eric Balchunas confirmed the leadership of the #BlackRock iShares Bitcoin Trust (BUT) among spot BTC ETFs. Recall that this exchange-traded fund bypassed Grayscale's GTC based on the trading results for the last day.
As Eric noted, BlackRock is likely to occupy the top spot "for decades." The reason is a combination of low fees, serious liquidity and the excellent reputation of the iShares brand.
🐂🐂🐂🐂🐂🐂
🚀 Bitcoin ETFs See Strong Inflows as Market Interest Grows
US spot Bitcoin ETFs experienced significant net inflows exceeding $786 million last week, marking their most robust performance since February. According to NS3.AI, BlackRock's iShares Bitcoin Trust attracted approximately $612 million. Meanwhile, Morgan Stanley's newly launched MSBT fund garnered around $46 million within its initial three trading days.
#Bitcoin#ETFs#BlackRock#MorganStanley#CryptoInvestment#MarketInterest#MSBT#iShares#Inflow#BTC