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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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The 2ndDim: That was I talking about!

@The2ndDim · Post #1506 · 07/28/2021, 08:18 PM

#WantThis#SBC#RaspberryPi https://www.youtube.com/watch?v=huAKEbyPcBc https://forum.radxa.com/t/introduce-the-radxa-zero/6550 有点厉害 性能吊打树莓派ZeroW 可惜视频只走MicroHDMI CPU: AmLogic S905Y2 (4核心 Cortex-A53 1.8 GHz, 12nm制程) GPU: Mali G31 MP2 RAM: LPDDR4 512MB/1GB/2GB/4GB 存储: 板载eMMC 5.1 8/16/32/64/128GB + MicroSD扩展 HDMI: Micro HDMI, HDMI 2.1, 4K@60 HDR 硬件解码: H265/VP9 decode 4Kx2K@60 无线: WiFi4/BT4 或 WiFi5/BT5 USB: 1x USB 2.0 Type C OTG (数据+供电), 1x USB 3.0 Type C host GPIO: 40Pin GPIO, ADC/UART/SPI/PWM 其他: Crypto Engine, 支持外置天线, 一个硬件按钮 系统: 目前有 Android 9, TwisterOS (基于Armbian的Ubuntu 20.04分支), Manjaro, EmuELEC