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Source channel @lambdaexpression · Post #299 · 1月17日

市中继好像和广州黄埔的中继撞下行频率了,我在我家能同时收到两个中继的下行 一个S4一个S2 #ham

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@githubtrending · Post #14958 · 2025/07/14 12:30

#python#agent#agentic_ai#grpo#kimi_ai#llms#lora#qwen#qwen3#reinforcement_learning#rl ART is a tool that helps you train smart agents for real-world tasks using reinforcement learning, especially with the GRPO method. The standout feature is RULER, which lets you skip the hard work of designing reward functions by using a large language model to automatically score how well your agent is doing—just describe your task, and RULER takes care of the rest. This makes building and improving agents much faster and easier, works for any task, and often performs as well as or better than hand-crafted rewards. You can install ART with a simple command and start training agents right away, even on your own computer or with cloud resources. https://github.com/OpenPipe/ART