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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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#jupyter_notebook#ai#llm#llms#multi_modal#openai#python#rag
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pixiv

@pixiv · Post #308 · 09/26/2017, 02:10 PM

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#Dragon ポ～ン（出水ぽすか） pixiv.net/i/64963600

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@PTPPAction · Post #2352 · 09/18/2024, 06:44 AM

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#dragon#open 抢先体验版本不保证稳定性 feat：调整图表样式 commit 调整图表样式 * 调整图表样式 * Merge branch 'pt-plugins:dev' into dev * feat：调整图表样式 描述 * feat：调整图表样式 X轴日期格式保持一致

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@PTPPAction · Post #2325 · 09/11/2024, 08:04 AM

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#dragon#open 抢先体验版本不保证稳定性 feat：调整图表样式 commit feat：调整图表样式 描述 * feat：调整图表样式 X轴日期格式保持一致

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#dragon#open
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@PTPPAction · Post #2354 · 09/18/2024, 01:16 PM

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#dev#dragon#merged 推荐下载 feat：调整图表样式 (#1994) commit feat：调整图表样式 (#1994) * feat：调整图表样式

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#dev#dragon#merged
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