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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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@DansGN · Post #4856 · 07/29/2022, 04:15 PM

Analogue 公布了 openFPGA 开发者计划,旨在通过 FPGA 技术在 Analogue Pocket 上支持更多硬件设备的模拟,从而更好地保存这些硬件。Analogue Pocket 现已支持 PDP-1,并可以运行《太空大战》。尽管任意一台 Analogue Pocket 设备都可以被当作开发平台,Analogue 还是生产了少量的 Analogue Developer Kits 发给特定的开发者 https://www.analogue.co/developer #Analogue#Pocket