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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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@gemscrypto100x · Post #1927 · 11/11/2025, 10:50 AM
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@binancebigpumpsignalsfuture · Post #2676 · 05/05/2025, 06:03 AM
It might look a little confusing at first, but pay attention. On this chart we have DXY, GOLD and BTC. DXY, which is a representative chart of the USD, has an inverse relationship with GOLD and BTC. This is because when the dollar is strong, big money moves into high interest bonds that are safe. When the dollar weakens, big money moves into safe havens and riskier assets. What we can firstly see on the chart is that every time DXY drops, GOLD almost instantly moves higher. Secondly, we can see that BTC also moves higher, but it lags behind GOLD. But that’s not the most interesting thing… The most interesting thing here is that every single time DXY has entered a down trend, BTC has began its move between 133 days and 140 days later. This time, that gives us an end of May date as to when BTC will begin its next true move higher. It’s just facts, right there for you to see. #CryptoSignal#Binance#PumpAlert#FuturesTrade
@binancebigpumpsignalsfuture · Post #2720 · 05/07/2025, 12:32 PM
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