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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
Search: #traceroute
@hanzichen · Post #941 · 08/10/2025, 07:17 AM
🔖 Trippy | 把 traceroute + ping 一锅端的网络诊断利器 将traceroute 和 ping 合体融合成一张图，支持实时可视化、延迟统计、路径分析，还能显示AS 信息、地理位置、节点状态，适配Windows/macOS/Linux，而且安装简单，体验上直接把传统命令行甩开两条街 别再盯着一堆毫秒输出发呆了，这玩意儿直接画图给你看 🌐官方网站 🐙Trippy | 📃Releases下载 标签：#Trippy#网络诊断#traceroute#ping#可视化工具#跨平台工具 📮频道 | 🪧群聊 | ✨中文包
@githubtrending · Post #14986 · 07/22/2025, 12:00 PM
#rust#cli#command_line_interface#command_line_tool#dns#icmp#linux#macos#mtr#netbsd#network#networking#ping#ratatui#rust#rustlang#tool#traceroute#tui#tui_rs#windows Trippy is a powerful tool that combines traceroute and ping functions to help you analyze network problems easily. It works on Linux, BSD, macOS, and Windows, and you can install it through many package managers or directly with commands like `cargo install trippy`. Running a simple trace is as easy as typing `sudo trip example.com`. Trippy offers detailed network tracing with features like multipath strategies and unprivileged modes, making it flexible for different needs. Using Trippy helps you quickly find where network issues occur, saving time and improving troubleshooting efficiency. Full guides and documentation are available online to get you started smoothly. https://github.com/fujiapple852/trippy