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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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@githubtrending · Post #15261 · 11/02/2025, 11:30 AM

#javascript#123pan#139_cloud#189_cloud#ali_netdisk#aliyun_drive#aria2#baidu#baidu_netdisk#baidunetdisk#baiduyun#motrix#quark_netdisk#tampermonkey#tampermonkey_script#tampermonkey_userscript#tianyi_netdisk#uc_netdisk#userscript#xunlei_netdisk#yidong_netdisk LinkSwift is a browser script that helps you quickly get direct download links for files stored on popular Chinese cloud services like Baidu, Alibaba, 123, and others—saving you time and making downloads easier without needing to visit each service’s website separately. It also improves the look of these cloud storage pages and adds extra features, such as support for different download tools and customizable themes. The main benefit is convenience: you can manage and download your cloud files faster, with a nicer interface, all from your browser. Just install the script using a tool like Tampermonkey, and it works on Chrome, Edge, and other major browsers. https://github.com/hmjz100/LinkSwift