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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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Lsposed Modules Updates Tracker

@lsposed_Modules_Updates_Trackers · Post #6829 · 04/28/2026, 02:02 AM

#Disable#tehcneko 模块:io.github.tehcneko.applinkverify 简介:Disable app link verify / 禁用应用链接验证 版本:1-1.0.0 更新时间:2022/01/25 18:02:29 更新日志: @lsposed_Modules_Updates_Trackers | @lsposed_Geeks_Bot

Libreware

@libreware · Post #897 · 02/13/2021, 01:53 PM

Modified perl script of @ robertoprubio to use the local file perl disable-trackers-from-recovery.pl --exodus-trackers-pathname <pathname> where <pathname> refers to pathname of the local exodus file that you've downloaded from https://etip.exodus-privacy.eu.org/trackers/export #disablebadservices#disable#blocker#watt#mat#block#ifw#intents#services#ads#tracking