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Source channel @githubtrending · Post #15340 · Dec 17

#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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@CryptoM · Post #64954 · 04/10/2026, 12:08 PM

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🚀 Fed's Daly: Risks to Achieving Full Employment and Inflation Goals Are Balanced The Federal Reserve is currently assessing the risks associated with achieving its dual mandate of full employment and stable inflation. According to Jin10, Mary Daly, President of the Federal Reserve Bank of San Francisco, stated that these risks are essentially balanced. Daly's comments come amid ongoing discussions about the U.S. economic outlook and the Federal Reserve's monetary policy strategy. The central bank continues to monitor economic indicators closely to ensure that its policy measures effectively support the economy's recovery and growth. Daly emphasized the importance of maintaining a balanced approach to address potential challenges in meeting the Fed's objectives. #Fed#Daly#FederalReserve#Inflation#Employment#MonetaryPolicy#EconomicOutlook#USEconomy#DualMandate#InterestRates

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