@aadaili · Post #14323 · 04/15/2026, 01:33 PM
#LSPatch#工具 _0.8 以LSPosed为基础的 免root的Xposed框架 作用: 免root内置xp模块的打包工具 更新日志:支持Android17!
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Source channel @githubtrending · Post #14993 · Jul 24
#jupyter_notebook Retrieval Augmented Generation (RAG) helps large language models (LLMs) answer questions using up-to-date or private information by connecting them to external data sources, unlike fine-tuning which retrains the model on specific data. RAG is useful when you need current, dynamic information without costly retraining, making it ideal for tasks like customer support or knowledge management. Fine-tuning is better for deep expertise in a specialized field but requires more data and effort. Using RAG lets you get accurate, relevant answers quickly by combining the model’s language skills with fresh, specific data, improving usefulness and reliability. https://github.com/langchain-ai/rag-from-scratch
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@aadaili · Post #14323 · 04/15/2026, 01:33 PM
#LSPatch#工具 _0.8 以LSPosed为基础的 免root的Xposed框架 作用: 免root内置xp模块的打包工具 更新日志:支持Android17!
@hanzichen · Post #1400 · 11/28/2025, 12:25 AM
AnghamiPlus AnghamiPlus is a sophisticated Xposed module that enhances your Anghami music streaming experience by unlocking plus-like features directly on the client side. Built with a modular and safe hooking architecture, it provides plus functionality without modifying server behavior or compromising your account security. 🔗 Links: - Download - Features - How to use - Support group and channel - Source code Developer: Kero309x ❤️ Support the Project If this project makes your life easier, here are a few quick ways to show some love: ⭐ Star the repo/app ☕ Buy a coffee for the developer 🛠 Contribute code, issues, or pull-requests ⚠️ This app might be breaking copyright laws, use at your own risk. We are not responsible for anything. We are just sharing open source software. 🏷 Tags: #Android#Music#Xposed#LSPatch#Modules