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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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@storage_qi · Post #764 · 02/07/2024, 05:45 PM

#Clash#ClashMeta#WebUI#metacubexd#Yacd GH 页面自定义域:http://d.metacubex.one GH 页面:https://metacubex.github.io/metacubexd Cloudflare 页面:https://metacubexd.pages.dev 省流(个人认为体验优于Yacd): - 在Connections的功能相当丰富,功能体验最优(无法全部显示时,Shift+滚轮 可以横向滚动) - Proxies界面节点延迟可视化显示 - 还有一些其他Web UI所没有的功能 来源(ClashMeta官方支持)