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    ## 爲什麼要做筆記: - 彌補時間差 [00:54](https://youtu.be/iYb3O2MockQ?t=54) - 注意力的投資:只要花一次時間注意力 [02:07](https://youtu.be/iYb3O2MockQ?t=127) - 建立個人知識庫 [03:11](https://youtu.be/iYb3O2MockQ?t=191) ## 做筆記的4步驟 CODE - Capture: 列出自己有興趣的問題,以此爲中心來捕捉資訊 [04:42](https://youtu.be/iYb3O2MockQ?t=282) - Organize: PARA :行動導向的方式來分類筆記 - project - area - resource - archive [05:53](https://youtu.be/iYb3O2MockQ?t=353) - Distill 精煉:Progressive Summarization 階層式摘要 [09:43](https://youtu.be/iYb3O2MockQ?t=583) - Express: 輸出內容: intermediate packets: 中間知識包 [11:11](https://youtu.be/iYb3O2MockQ?t=671) ## markdown :輕量級標記式語言 > 專注於文字內容、而不是排版 - 簡單 demo [你還在用 Word 打簡單的文件嗎?改用 Markdown,你的人生會更美好! - Wiwi.Video 好和弦聯播網](https://wiwi.video/w/p/11tSj6c5rkb6gwtV7jAnKh?playlistPosition=5&resume=true) ## 自己的筆記可以帶著走 - 什麼是不能帶着走? evernote, one note, ... - 文件就是純文字,開放格式,所有筆記軟體都能讀取 - 傳統資料夾結構,一篇就是一個 .md 檔案 ### [github 上有個 yarle 工具可以把 evernote 匯出的檔案轉成 .md ](/dV5904PIQ-SrXXJXE4s-2g) ## 推薦2個支援 markdown 的軟體 - hackMD (連線/ 協作) - obsidian, 不需要協作,本機端 ## Obsidian ### obsidian 是什麼 是一種 [[markdown]] 優先的筆記軟體 爲了要脫離 evernote, 從 devonThink, oneNote 一路嘗試, 直到 2020/11 找到 obsidian ,使用到今天,超好用來開始傳教。 ##### [github 上有個 yarle 工具可以把 evernote 匯出的檔案轉成 .md ](/dV5904PIQ-SrXXJXE4s-2g) ### 特點 - metadata, YAML - 要持續寫、蒐集,量大,obsidian 強大功效就會出來。 #### 樹狀資料夾 #### 雙向連結 [[卡片盒筆記法]] #### tag ### 優點 - 本地端,任何操作都快速爽快 - markdown first,開放格式 - 雙向連接,視窗 - - 強大各種第三方 plugin - [Day 23 : 插件篇 02 — 如何在 Obsidian 中自動彙整筆記?使用 Dataview 查詢與呈現符合條件的筆記 - iT 邦幫忙::一起幫忙解決難題,拯救 IT 人的一天](https://ithelp.ithome.com.tw/articles/10279262) - [使用 imgur 當成 obsidian 圖床 - HackMD](https://hackmd.io/79MpoZsBRpyYHaIE9jC6ow) - 免費 - 內容, 軟體設定(config, css) 完全可以使用 git 版控 - https://youtu.be/HNFF_EeFr9Y?t=284 ### 缺點 - https://youtu.be/HNFF_EeFr9Y?t=371 - 同步技術知識較高(git) - mobile 不友善(建議不要在手機平板上使用) - 用法千百種,太自由。剛開始要做點功課學習如何使用 ### plugin #### dataview [Notion vs Obsidian // Databases vs Dataview - YouTube](https://www.youtube.com/watch?v=AhhFLXfldJQ) #### Projects 這個太強大,取代掉許多外掛了 ##### use case: - 把 IMDB_rating.csv --> 個別電影.md, metadata --> Obsidian Projects 呈現 完整教學:[Spreadsheet to Obsidian Project: CSV to MD Files Script (Python) · marcusolsson/obsidian-projects · Discussion #581](https://github.com/marcusolsson/obsidian-projects/discussions/581) #blog #### [使用 imgur 當成 obsidian 圖床](/79MpoZsBRpyYHaIE9jC6ow) #### [github 上有個 yarle 工具可以把 evernote 匯出的檔案轉成 .md ](/dV5904PIQ-SrXXJXE4s-2g) #### canvas - 輸入 url,card 就是一個小型瀏覽器視窗👍 - group 物件 - canvas 裡面可以有 nested canvas - Bulk create cards from folder, 超讚👍 ##### use case  - react 的 component 結構 - 食譜步驟,圖片、影片 ### 好用小技巧 - 拖拉 outline 視窗的標題,快速調整上下文順序! 當需要找建議、資料,幫助自己思考的好方法: - 覺得有趣的想法、文章 通通先記錄下來 - 全域搜尋關鍵字 - 拖拉搜尋結果到文章,會產生連接,再利用 `^` 產生關鍵字連接 - 完成 - 現在許多影片逐字搞 [[whisper demo]]:可以 copy 文字,之後好搜尋 ## HQ&A 筆記法 Jamie Miles 提出的 [HQ&A 筆記法](https://ithelp.ithome.com.tw/articles/10275705),這個筆記的好處是簡單又具有延展性 ### [Day 28 : 應用篇 — 如何透過 Obsidian 幫助知識工作者寫作 ? 分享我的 Obsidian 寫作流程 - iT 邦幫忙::一起幫忙解決難題,拯救 IT 人的一天](https://ithelp.ithome.com.tw/articles/10281142) 在寫每一張卡片時,將畫線重點放在 Highlight #### 思考「==如果 Highlight 的內容是答案,那它的問題是什麼==」 #### 再對自己的提出的問題寫下自己說出口的答案。 這個過程其實也運用到了「費曼學習法」的原理,我們花一點點的腦力,思考如何用直白、自己能理解的語言回答問題,幫助自己對畫線重點記得更熟、甚至延伸出新的想法。 ## 卡片盒筆記法 ### 方法 to 20:25 https://youtu.be/gLINYmK-g7k?t=1070 - Note types: - 靈感筆記:fleeting note - 文獻筆記 Literature notes:思考完,用自己的話寫下來 - 永久筆記 Permanent notes:對知識的理解到了一定程度 ### 概念圖: [Heptabase x Zettelkasten (Shared)](https://whimsical.com/heptabase-x-zettelkasten-shared-SEWewS5Yf5KAKQZkA2Uq4m) ### 原理: to 4:50 [如何使用卡片盒筆記法? - YouTube](https://youtu.be/UOSUili5Z9g?si=YOXS0DezhtpwIgB5&t=114) to 4:50 - [Twitter 上的 P.J. Wu 吳秉儒:"【Heptabase vs Notion vs Obsidian】(內文有中文版) 這篇文章很讚,三者的優點以及適合的使用場景與受眾都有提到,我自己有一陣子是三者都用,最近比較少用 Obsidian 了,但一直都覺得這三者都是很棒的產品。 節錄裡面的重點段落: -…" / X](https://twitter.com/wupingju/status/1690380844001808384?s=12&t=u-EhC2NGMcIJSSypxkHDtw) - [162: 《卡片盒筆記》:看似簡單,其實需要刻意練習(ft. 小朱) - Podcast on Firstory](https://open.firstory.me/story/cl6dx7tda00dt01xjctpve83o) - [164: 思考本身比寫下什麼更重要:卡片盒筆記實戰經驗分享(ft. 小朱) - Podcast on Firstory](https://open.firstory.me/story/cl6dx7tda00dr01xj8333h0we) ## whisper demo Whisper 是由一家公司叫OpenAI 在2022年的9月推出的一個新的東西 OpenAI就是做那個 超強聊天機器人ChatGPT的那家公司 但是Whisper跟ChatGPT不一樣 因為==Whisper是一個自由軟體 它是一個完全免費 而且授權完全自由 每個人都可以自己下載回來跑的自由軟體== Whisper 是最近由 OpenAI 所發表的自動語音辨識(ASR)系統,他透過大量的語音資料所訓練而來,而且他的模型也是開源的,所以大家可以自己來訓練一個模型 ### (全部批次轉檔成 wav) `find ./ -name "*.m4a" | parallel 'ffmpeg -i {} -ar 16000 -ac 1 -c:a pcm_s16le ./wav/{.}.wav'` ### 辨識一個檔案 `./main -osrt --language zh -m models/ggml-medium.bin -f /Users/Roro/Desktop/whisperTest/wav/洪玉珊_吃的台灣史/洪玉珊_吃的台灣史13.wav ` ### 批次辨識所有 wav 檔案 (不使用 parallel ) - 當指令執行完畢,帶入下一個檔案路徑,執行同樣的指令 `find /Users/Roro/Desktop/whisperTest/晨曦早安子夜/wav -name "*.wav" -exec ./main -osrt --language zh -m models/ggml-medium.bin -f {} \;` ### 總幹事日本旅遊暢談 逐字稿 [總幹事日本旅遊暢談 - YouTube](https://www.youtube.com/playlist?list=PL8LLS2r5eflptMZUrA4LT5NAloBVZj9dK) [逐字稿文檔](https://drive.google.com/file/d/1nmMFTrKwhuvGz68n5CXxqXgxhq4sU-Ux/view?usp=sharing) #### 台語?! - 地下鐵山手線2 ``` 00:03:18,000 --> 00:03:20,000 以前我們那種==黑頭車== 00:05:36,000 --> 00:05:38,000 你人可以哪去 #### 語助詞會自動忽略 00:06:44,000 --> 00:06:46,000 如果是我的方法的話就是 ``` ## 小曹python課程 https://docs.google.com/forms/d/1FI4hKvZpBHernC0mEAmH8DZMNUa3FPjIoXRaeXB5Yn4/viewform?fbclid=IwAR1eJQgxG08I03UsjHPMYZud5vb0-EWxDhu1U4jQGw5mI9t2jXa9cO5pvAg_aem_AeS7SoyQaWz5gfNW7u2YdYgZ106hJ5JXbilu7Hc4tf1FzhkDPcuqLk7HTO93xXOW8Nc&edit_requested=true&mibextid=9R9pXO

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