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Source channel @githubtrending · Post #14909 · Jul 3

#other#agent#llm#rag Happy-LLM is a free, open-source learning project that helps you deeply understand large language models (LLMs) from basics to advanced training and applications. It teaches you key concepts like NLP, Transformer architecture, pretraining, and how to build and train your own LLaMA2 model step-by-step. You also learn practical skills like fine-tuning and using cutting-edge techniques such as Retrieval-Augmented Generation (RAG) and intelligent agents. This project is ideal if you know some Python and deep learning, and it offers both theory and hands-on code to help you master LLM development and apply it in real-world AI tasks. This can boost your skills and confidence in AI model building and research. https://github.com/datawhalechina/happy-llm

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@tribebrook · Post #469 · 10/04/2025, 03:47 PM

#Mac#清理#GitHub#CleanMyMac#Lemon 🦡 像鼹鼠一样深入挖掘来清理您的 Mac 一;亮点 🐦深度系统清理- 一次性删除隐藏的缓存、日志和临时文件 📦彻底卸载- 清理了 22 个以上位置,而标准卸载只有 1 个,优于 CleanMyMac/Lemon ⚡️快速且轻量- 基于终端,零膨胀,带分页的箭头键导航 🧹海量空间恢复- 回收 100GB 以上的浪费磁盘空间 二;安装 curl -fsSL curl -fsSL https://raw.githubusercontent.com/tw93/mole/main/install.sh | bash 或者通过 Homebrew: brew install tw93/tap/mole GitHub地址:官方 🔔提示:限免,兑换码具有时效性,打开本频道通知,第一时间获取全网资讯!!! 🏠本消息Via:小小溪 📰群组:homeBrook 📢频道:Home_brook 🤖其他问题(投稿)请Bot:@xia0_bot