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Source channel @githubtrending · Post #14826 · Jun 12

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#jupyter_notebook#ai#llm#llms#multi_modal#openai#python#rag Retrieval-Augmented Generation (RAG) is a technique that helps improve the accuracy of large language models by fetching relevant information from databases or documents. This approach ensures that the model's responses are based on up-to-date and accurate data, reducing errors and "hallucinations" where the model might provide false information. For users, RAG offers more reliable and trustworthy responses, allowing them to verify the sources used to generate those responses. This method also saves resources by avoiding the need to retrain models with new data. https://github.com/FareedKhan-dev/all-rag-techniques

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@PTPPAction · Post #2058 · 06/02/2024, 02:55 AM

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#hui-shao:dev #hui-shao #open 抢先体验版本不保证稳定性 fix(pig): HnR count. fix(pig): HnR count. 修复 H&R 计数 测试截图： !2024-06-02_104700

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@PTPPAction · Post #1475 · 12/25/2023, 03:15 PM

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#hui-shao:dev #hui-shao #open fix(u2): 修复非简体中文语言环境下上传量和下载量获取的问题

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@bubbletealuv · Post #2572 · 10/09/2024, 06:37 AM

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ᝬ 🤩𖠵 ゛ (( 🐰) new post by bubbletealuv ↝ #Hui ➛ #Pentagon.. ✨ …( emoji ) 💭 взяли? буду рада увидеть плюсы и реакции!!

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