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Source channel @githubtrending · Post #15539 · Mar 5

#python#agent#llm#llm_agent#llm_reasoning#machine_learning_systems#mlsys#reinforcement_learning#rl AReaL is a free, open-source system for fast asynchronous reinforcement learning to train large AI models in math, coding, search, and agents. It decouples generation and training for up to 2.77x speedup, stable performance, and easy setup on single or 1000+ GPUs with algorithms like GRPO/PPO. Install via git/pip, run examples like GSM8K math instantly. You benefit by building top AI agents affordably and quickly, reproducing results with shared data/models, saving time/money vs. slow synchronous tools. https://github.com/inclusionAI/AReaL

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KIUT | Namangan rasmiy

@kiut_nm · Post #5409 · 01/31/2026, 10:29 AM

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🇺🇸🤝🇺🇿 At the initiative of the Vice-Rector for International Cooperation of Kimyo International University in Tashkent, Mr. Rod Clark, an event was held in cooperation with representatives of the U.S. organization OSAC, focusing on one of the issues that is becoming increasingly relevant today — artificial intelligence and cybersecurity. The event brought together representatives of various U.S. companies and organizations operating in Tashkent, who shared their practical experience in implementing modern technologies, ensuring digital security, and current developments in these fields. 🇺🇿🇬🇧🇷🇺: www.kiut.uz #KIUT #OSAC #ArtificialIntelligence

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