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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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@revheadcrypto · Post #30 · 07/02/2024, 04:34 PM

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🔥🏁Koenigsegg Regera Breaks Rimac Nevera's Record in 0-400-0 Challenge 🏁🔥 🏆 The music didn't play for long: Rimac Nevera's record in the 0-400-0 km/h acceleration-braking challenge lasted only a month. The Croatian hypercar surpassed the previous record holder, Koenigsegg Regera, clocking in at 29.94 seconds. 🇸🇪 The Swedish brand shrugged and sent the Regera back onto the track. Guess what? 28.81 seconds. How do you like that, Mate Rimac? 🥇 The margin of victory was 1.13 seconds, which in such a discipline, it must be said, is quite impressive. Surely, Rimac will have to respond. Competing is possible, but it will definitely require some effort. 🏎️Interestingly enough, the Regera has already been discontinued, with the last unit delivered to its owner in 2022. So why set a record with a car that is no longer in production? Koenigsegg answers bluntly: "Because it can!" The Regera remains superior to any newcomer. And it has proven it once again. 💥To outperform a significant rival - an electric car that has just set 23 records - is both impressive and beautiful. 💥 #Koenigsegg#Regera#driving#car

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