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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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Talabalarimiz "CanSat Uzbekistan - 2025" musobaqasida g'olib bo'lishdi 💥 "O'zbekkosmos" agentligi tashabbusi bilan o'tkazilgan CanSat musobaqasida 250 nafarga yaqin o'quvchi va talabalardan iborat 10 ta jamoa o'zlarining mikrosputniklarini balandlikka uchirdi. ✅ Kichik sputniklar havo harorati, masofa va bosim kabi ma'lumotlarni talabalar o'zlari ishlab chiqqan dasturga yubordi. ✨ Talabalarimiz yaratgan CanSat qurilmasi boshqalardan bir qancha tomonlama mukammalligi e'tirof etilib, musobaqa tashkilotchilari tomonidan faxrli 1-o'ringa munosib ko'rildi. ⚡️Talabalarimizni ushbu yutuq bilan tabriklaymiz va xalqara miqyosda o'tkazilishi rejalashtirilgan CanSat musobaqasida ham g'alaba qozonishlariga ishonamiz. 🔁English ➖➖➖➖➖➖➖➖➖➖ #CanSat#musobaqa ⬇️ Biz ijtimoiy tarmoqlarda: Veb-sayt | Telegram | Instagram | Facebook

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@githubtrending · Post #14878 · 06/28/2025, 02:00 PM

#cplusplus#arduino#cansat#csv#embedded#graph#ground_station#iot#microcontroller#network#projects#qt#serial#serial_studio Serial Studio is a free, easy-to-use tool that lets you visualize real-time data from devices like microcontrollers via serial ports, Bluetooth, or network connections. It works on Windows, macOS, and Linux, and offers customizable dashboards with various widgets to monitor sensor data, debug info, or telemetry. You can quickly plot data, export it as CSV for analysis, and even use advanced features like checksum validation and JavaScript data processing. It supports hobbyists, educators, and professionals by simplifying data monitoring and debugging, saving you time and effort in understanding your device’s output. Pro versions add commercial use and extra features[1][4][5]. https://github.com/Serial-Studio/Serial-Studio