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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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@seeker_rc · Post #19997 · 05/08/2026, 02:25 PM

二次创作的 tab-out:即是 Tab 标签清理管理,也是导航、收藏! 之前用过 Zara 做的 tab-out ,理念很对:把新标签页变成一个仪表盘,所有打开的标签按域名分组展示,点一下就能跳转,关一组还有音效和彩纸特效。用起来很爽,但用了一段时间后,我发现自己每次打开新标签页,还是会切换到我的导航页。 于是我想:能不能把这一步也省了? 于是乎这个 Evan 版的 Tab Out 的 Chrome 扩展在 Zara 做的 tab-out 的基础上做了一些功能上面的优化。 让这个仪表盘可以设置为起始页,同时里面还能收藏网址,也保留的原有的功能!一举三得! <https://github.com/EvanTop/TabOut> via V2EX 分享创造 标签: #标签#tab#out ⚡️探索号频道 ⚡️探索者频道 ⚡️探索者交流群 ⚡️ Youtube 频道:科技探索者 每天推荐有趣内容,欢迎订阅、转发。