最近幫別人改寫老舊Excel上的VBA，讓使用者能直接從輸入資料到彙整成可以列印的格式，而避免大量的複製、貼上操作。寫是寫完了，但內心真是五味雜陳。
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PDF的註解功能可以允許我們在原始檔案上添增額外的文字、標亮、線條、筆記。而且這些註解還可以刪除、修改，讓原始檔案保持它原本的樣子。不過如果有大量註解需要移除的話，手動操作其實非常繁瑣。這時候你可以用我開發的PDF Annotation Remover，讓PDF檔案的註解全部移除吧。
PDF's annotation feature allows us to add additional text, highlights, lines, and notes directly onto the original file. These annotations can also be deleted or modified, preserving the original document's integrity. However, manually removing a large number of annotations can be quite tedious. For this, you can use my PDF Annotation Remover to remove all annotations from your PDF file.
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由於我會在越來越地方使用Stable Diffusion繪圖，所以我花了一些時間用AppSheet做了提示詞管理工具。這篇就來聊一下我做了那些東西。
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列印、簽名、拍照、轉換成PDF、上傳，這是現在很多證明文件的處理手續。處理後的PDF檔案只是圖片的封裝，不能直接選取與複製，只能作為證明文件留存，這已經是最基本的資安防護手段。然而，如果可以將數位文件直接轉換成彷彿掃描檔一樣的檔案，那不就可以省下列印與掃描的繁雜手續了嗎？也許這時候Docker APP ScanSim PDF就能夠派上用場了。
Printing, signing, taking a photo, converting it to PDF, and uploading it—this is the procedure for processing many verification documents nowadays. The processed PDF file is merely a container for the image; the text cannot be directly selected or copied. It can only serve as an archive of the verification document, which is a basic security measure. However, if digital documents could be directly converted into files that resemble scanned documents, wouldn't that eliminate the tedious printing and scanning steps? Perhaps the Docker APP ScanSim PDF could be useful in this situation.
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畢竟是免費的AI功能，真的不能要求太多。
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隨著在Dify使用的知識庫越來越多，傳統的用相似度來計算權重分數的做法已經不敷使用，而使用重排序模型來排序檢索結果順序的做法也越來越受歡迎。這次我們來架設HuggingFace推出的Text Embeddings Inference，並讓Dify能用它來做重排序吧。
As the knowledge base used in Dify grows, the traditional method of calculating weight scores based on similarity is becoming inadequate. Using reranking models to reorder retrieval results is gaining popularity. Let's set up HuggingFace's Text Embeddings Inference and integrate it into Dify for reranking.
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