{
  "text": "你想把一本書快速增留成你個人的技能嗎?\n或者你想把你欣賞的某個博主的技能快速增留成Skill為你所用嗎?\n那麼請別錯過今天這期視頻,我會一步一步教會你如何增留。\n首先你要知道增留的意思就是製作Skill的過程。\n我們把它形象的比喻成了增留。Skill呢大家可能都聽說過,\n這裡我們就不再展開討論了。\n今天我們重點講兩項最值錢的技能。\n第一呢就是如何把一本書增留成Skill。\n為了讓這套流程更容易操作呢,\n我們製作了一個專門用於製作知識材料的Skill,\n取名叫做原子進化。\n可以通過免費的知識庫來獲取。\n大家呢可以在粉絲群裡或者聯繫我們來獲取知識庫的鏈接。\n在開始實際操作前呢,\n我們先看一下總結一本書和增留一本書的區別。\n總結呢是把一本很厚的書變短,\n而增留呢則是把書本裡的有效知識能夠提取出來。\n整理成以後可以反覆調用的方法。\n所以呢我們增留一本書的目的不是為了做出一份更短的\n讀書筆記,也不是為了證明自己已經讀過這本書。\n而是為了把作者的知識轉化成一種可以直接使用的能力。\n那在一本書裡面我們到底應該增留哪些內容呢?\n答案呢主要分為兩類。\n第一類呢是書中的方法論。\n第二類呢是作者的思維框架。\n比如說偏工具類的書,\n我們主要增留的就是其中的方法論。\n我們需要把其中的方法提取出來,\n整理成一套可以執行的流程。\n如果是非工具類的書呢,\n我們重點增留作者的思維框架。\n方法論呢幫助我們直接行動,\n思維框架呢幫助我們形成判斷。\n當然啦工具數和非工具數也不是完全對立的。\n這裡的分類呢只是為了幫助我們快速確定\n增留的重點。\n還有一點,\n增留的對象也不僅僅是書。\n只要一份材料呢能夠提供以下,\n比如論文啊,\n會議紀要啊,\n人物訪談啊,\n播客啊,\n项目覆盤等。\n這些材料的表現形式呢雖然不同,\n但蒸餾的邏輯是一樣的。\n所以呢後面我會把,\n如何蒸餾本書作為演示場景。\n但大家呢不需要把這個方法局限在讀書場景里面。\n回到我們剛剛提到的原子進化啊,\n它並不是叢林開發的,\n它是基於一個開源的倉颉Skill調整而來的。\n倉颉Skill呢本身更適合一類用户,\n就是你已經完全讀過這本書,\n並且對書中的主要觀點呢,\n知識結構和方法有了比較深入的了解。\n在這種情況下呢,\n你使用倉颉Skill\n進行蒸餾效果會很好。\n但對於我們新手來說呢,\n情況往往不是這樣。\n很多人上傳一本書的時候呢,\n甚至還沒有讀完,\n往往對書裡的內容不是特別的了解。\n這時候呢,\n如果直接進入Skill的環節呢,\n就容易出現兩個問題。\n第一個問題呢是蒸餾過程過重,\n第二個問題呢是缺少足夠的前置閱讀。\n特別是在Workbody這樣的工作環境當中呢,\n如果流程過於複雜,\n或者生成的內容太依賴使用者進行人工的判斷,\n新手的使用體驗就不會很好。\n所以呢我們在原有思路的基礎上,\n對整個結構進行了重新的設計。\n原子進化增加的重點呢,\n不只是最後生成一個Skill,\n而是加強了生成之前的閱讀和整理的過程。\n它會先讓AI對原材料進行系統的閱讀,\n識別材料的類型和主要的用途。\n接著呢,\nAI會梳理內容結構,\n完成這些前置工作以後呢,\nAI才會進入Skill的生成環節。\n整個使用過程呢也不複雜。\n首先呢進入我的知識庫,\n找到介紹原子進化的文檔,\n並下載對應的Skill文件。\n下載完成以後呢,\n打開 Workbody,\n把Skill文件呢,\n直接發送到對話窗口中。\n然後呢可以告訴他,\n請幫我安裝這個Skill。\nWorkbody 呢會根據文件中的內容進行安裝。\n安裝結束以後呢,\n你就可以上傳需要蒸餾的原材料了。\n上傳以後呢,\n你不需要自己把材料拆成很多段,\n也不需要提前整理完整的目錄和重點。\n原子進化呢,\n會按照既定的流程,\n幫助AI閱讀材料,\n識別結構,\n提取方法論,\n還原思維框架,\n並進一步判斷這些內容,\n應該如何被組織成Skill。\n處理完成以後呢,\n他就會把蒸餾結果交給你了。\n拿到結果以後呢,\n可以先檢查三個方面。\n第一呢,\n就是這個Skill到底幫你解決了什麼問題。\n第二呢,\n就是什麼情況下應該調用它。\n第三呢,\n就是調用之後呢,\n它按照什麼步驟來進行執行。\n如果這三個問題都有清楚的答案了,\n那麼它就不再是一份普通的讀書筆記了,\n而是一套具備實際使用價值的知識工具。\n以後遇到類似問題呢,\n你就不必再重頭開始閱讀原材料了。\n可以直接讓AI調用這個Skill,\n這才是蒸餾一本書真正的價值體現。\n還有第二項,\n如何把你欣賞的博主的某項技能蒸餾成Skill為你所用。\n這個我們下期再講。",
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      "text": "你想把一本書快速增留成你個人的技能嗎?",
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      "text": "或者你想把你欣賞的某個博主的技能快速增留成Skill為你所用嗎?",
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      "text": "那麼請別錯過今天這期視頻,我會一步一步教會你如何增留。",
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      "text": "首先你要知道增留的意思就是製作Skill的過程。",
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      "text": "我們把它形象的比喻成了增留。Skill呢大家可能都聽說過,",
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      "text": "這裡我們就不再展開討論了。",
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      "text": "今天我們重點講兩項最值錢的技能。",
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      "id": 7,
      "seek": 0,
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      "text": "第一呢就是如何把一本書增留成Skill。",
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      "id": 8,
      "seek": 0,
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      "text": "為了讓這套流程更容易操作呢,",
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      "text": "我們製作了一個專門用於製作知識材料的Skill,",
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      "text": "取名叫做原子進化。",
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    {
      "id": 11,
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      "text": "可以通過免費的知識庫來獲取。",
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      "text": "大家呢可以在粉絲群裡或者聯繫我們來獲取知識庫的鏈接。",
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    {
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      "text": "在開始實際操作前呢,",
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    {
      "id": 14,
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      "text": "我們先看一下總結一本書和增留一本書的區別。",
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    {
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      "text": "總結呢是把一本很厚的書變短,",
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      "text": "而增留呢則是把書本裡的有效知識能夠提取出來。",
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      "text": "整理成以後可以反覆調用的方法。",
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      "text": "所以呢我們增留一本書的目的不是為了做出一份更短的",
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      "text": "讀書筆記,也不是為了證明自己已經讀過這本書。",
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      "text": "而是為了把作者的知識轉化成一種可以直接使用的能力。",
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      "text": "那在一本書裡面我們到底應該增留哪些內容呢?",
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      "text": "答案呢主要分為兩類。",
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      "text": "第一類呢是書中的方法論。",
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      "text": "第二類呢是作者的思維框架。",
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      "text": "比如說偏工具類的書,",
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      "text": "我們主要增留的就是其中的方法論。",
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      "text": "我們需要把其中的方法提取出來,",
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      "text": "整理成一套可以執行的流程。",
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      "text": "如果是非工具類的書呢,",
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      "text": "我們重點增留作者的思維框架。",
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      "text": "方法論呢幫助我們直接行動,",
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      "text": "思維框架呢幫助我們形成判斷。",
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      "text": "當然啦工具數和非工具數也不是完全對立的。",
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      "text": "這裡的分類呢只是為了幫助我們快速確定",
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      "text": "增留的重點。",
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      "text": "還有一點,",
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      "text": "增留的對象也不僅僅是書。",
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      "text": "只要一份材料呢能夠提供以下,",
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      "text": "比如論文啊,",
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      "text": "會議紀要啊,",
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      "text_original": "會議制要啊,",
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      "text": "人物訪談啊,",
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      "text": "播客啊,",
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      "text": "项目覆盤等。",
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      "text": "這些材料的表現形式呢雖然不同,",
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      "text": "但蒸餾的邏輯是一樣的。",
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      "text_original": "但增留的邏輯是一樣的。",
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      "text": "所以呢後面我會把,",
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      "text": "如何蒸餾本書作為演示場景。",
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      "text": "但大家呢不需要把這個方法局限在讀書場景里面。",
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    {
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      "text": "回到我們剛剛提到的原子進化啊,",
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    {
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      "text": "它並不是叢林開發的,",
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      "text": "它是基於一個開源的倉颉Skill調整而來的。",
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      "text": "就是你已經完全讀過這本書,",
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      "text": "並且對書中的主要觀點呢,",
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      "text": "知識結構和方法有了比較深入的了解。",
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      "text": "在這種情況下呢,",
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      "text": "你使用倉颉Skill",
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      "text": "進行蒸餾效果會很好。",
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      "text": "但對於我們新手來說呢,",
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      "text": "情況往往不是這樣。",
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      "text": "很多人上傳一本書的時候呢,",
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      "text": "甚至還沒有讀完,",
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      "text": "往往對書裡的內容不是特別的了解。",
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      "text": "這時候呢,",
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      "text": "如果直接進入Skill的環節呢,",
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      "text": "就容易出現兩個問題。",
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      "text": "第一個問題呢是蒸餾過程過重,",
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      "text": "第二個問題呢是缺少足夠的前置閱讀。",
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      "text": "特別是在Workbody這樣的工作環境當中呢,",
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      "text": "如果流程過於複雜,",
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      "text": "或者生成的內容太依賴使用者進行人工的判斷,",
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      "text": "新手的使用體驗就不會很好。",
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      "text": "所以呢我們在原有思路的基礎上,",
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      "text": "對整個結構進行了重新的設計。",
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      "text": "原子進化增加的重點呢,",
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      "text": "不只是最後生成一個Skill,",
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      "text": "而是加強了生成之前的閱讀和整理的過程。",
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      "text": "它會先讓AI對原材料進行系統的閱讀,",
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      "text": "識別材料的類型和主要的用途。",
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      "text": "接著呢,",
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      "text": "AI會梳理內容結構,",
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      "text": "完成這些前置工作以後呢,",
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      "text": "AI才會進入Skill的生成環節。",
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      "compression_ratio": 1.3602150537634408,
      "no_speech_prob": 2.1780176620578295e-11,
      "source": "whisper"
    },
    {
      "id": 84,
      "seek": 16760,
      "start": 184.0,
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      "text": "整個使用過程呢也不複雜。",
      "tokens": [
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      "avg_logprob": -0.0990414907765943,
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      "no_speech_prob": 2.1780176620578295e-11,
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    {
      "id": 85,
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      "start": 185.6,
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      "text": "首先呢進入我的知識庫,",
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      "temperature": 0,
      "avg_logprob": -0.0990414907765943,
      "compression_ratio": 1.3602150537634408,
      "no_speech_prob": 2.1780176620578295e-11,
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    },
    {
      "id": 86,
      "seek": 16760,
      "start": 187.1,
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      "text": "找到介紹原子進化的文檔,",
      "tokens": [
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      "avg_logprob": -0.0990414907765943,
      "compression_ratio": 1.3602150537634408,
      "no_speech_prob": 2.1780176620578295e-11,
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    },
    {
      "id": 87,
      "seek": 16760,
      "start": 188.9,
      "end": 190.79999999999998,
      "text": "並下載對應的Skill文件。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.0990414907765943,
      "compression_ratio": 1.3602150537634408,
      "no_speech_prob": 2.1780176620578295e-11,
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    },
    {
      "id": 88,
      "seek": 16760,
      "start": 190.79999999999998,
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      "text": "下載完成以後呢,",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.0990414907765943,
      "compression_ratio": 1.3602150537634408,
      "no_speech_prob": 2.1780176620578295e-11,
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    },
    {
      "id": 89,
      "seek": 16760,
      "start": 191.79999999999998,
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      "text": "打開 Workbody,",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.0990414907765943,
      "compression_ratio": 1.3602150537634408,
      "no_speech_prob": 2.1780176620578295e-11,
      "source": "whisper",
      "text_original": "打開Workbody,",
      "correction_applied": true,
      "correction_source": "llm_correct_a_presegmentation"
    },
    {
      "id": 90,
      "seek": 16760,
      "start": 192.79999999999998,
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      "text": "把Skill文件呢,",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.0990414907765943,
      "compression_ratio": 1.3602150537634408,
      "no_speech_prob": 2.1780176620578295e-11,
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    },
    {
      "id": 91,
      "seek": 16760,
      "start": 193.79999999999998,
      "end": 195.6,
      "text": "直接發送到對話窗口中。",
      "tokens": [
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      "avg_logprob": -0.0990414907765943,
      "compression_ratio": 1.3602150537634408,
      "no_speech_prob": 2.1780176620578295e-11,
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    },
    {
      "id": 92,
      "seek": 19560,
      "start": 195.6,
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      "text": "然後呢可以告訴他,",
      "tokens": [
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      "avg_logprob": -0.12993152863388763,
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      "no_speech_prob": 1.4689810132195724e-11,
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    },
    {
      "id": 93,
      "seek": 19560,
      "start": 196.6,
      "end": 198.4,
      "text": "請幫我安裝這個Skill。",
      "tokens": [
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      "avg_logprob": -0.12993152863388763,
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      "no_speech_prob": 1.4689810132195724e-11,
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    },
    {
      "id": 94,
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      "text": "Workbody 呢會根據文件中的內容進行安裝。",
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      "temperature": 0,
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      "no_speech_prob": 1.4689810132195724e-11,
      "source": "whisper",
      "text_original": "Workbody呢會根據文件中的內容進行安裝。",
      "correction_applied": true,
      "correction_source": "llm_correct_a_presegmentation"
    },
    {
      "id": 95,
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      "text": "安裝結束以後呢,",
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      "avg_logprob": -0.12993152863388763,
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      "no_speech_prob": 1.4689810132195724e-11,
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    },
    {
      "id": 96,
      "seek": 19560,
      "start": 202.4,
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      "text": "你就可以上傳需要蒸餾的原材料了。",
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      "source": "whisper",
      "text_original": "你就可以上傳需要蒸留的原材料了。",
      "correction_applied": true,
      "correction_source": "llm_correct_a_presegmentation"
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    {
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      "text": "上傳以後呢,",
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      "temperature": 0,
      "avg_logprob": -0.12993152863388763,
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      "no_speech_prob": 1.4689810132195724e-11,
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    {
      "id": 98,
      "seek": 19560,
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      "text": "你不需要自己把材料拆成很多段,",
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      "temperature": 0,
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      "no_speech_prob": 1.4689810132195724e-11,
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    },
    {
      "id": 99,
      "seek": 19560,
      "start": 208.2,
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      "text": "也不需要提前整理完整的目錄和重點。",
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      "temperature": 0,
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      "no_speech_prob": 1.4689810132195724e-11,
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    },
    {
      "id": 100,
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      "text": "原子進化呢,",
      "tokens": [
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      "avg_logprob": -0.12993152863388763,
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      "no_speech_prob": 1.4689810132195724e-11,
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    },
    {
      "id": 101,
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      "start": 212.0,
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      "text": "會按照既定的流程,",
      "tokens": [
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      "temperature": 0,
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    },
    {
      "id": 102,
      "seek": 19560,
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      "text": "幫助AI閱讀材料,",
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    {
      "id": 103,
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      "text": "識別結構,",
      "tokens": [
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      "avg_logprob": -0.12993152863388763,
      "compression_ratio": 1.3710526315789473,
      "no_speech_prob": 1.4689810132195724e-11,
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    {
      "id": 104,
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      "text": "提取方法論,",
      "tokens": [
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      "no_speech_prob": 1.4689810132195724e-11,
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    },
    {
      "id": 105,
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      "start": 216.6,
      "end": 217.9,
      "text": "還原思維框架,",
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      "temperature": 0,
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    {
      "id": 106,
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      "start": 217.9,
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      "text": "並進一步判斷這些內容,",
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    },
    {
      "id": 107,
      "seek": 19560,
      "start": 219.7,
      "end": 221.79999999999998,
      "text": "應該如何被組織成Skill。",
      "tokens": [
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      "id": 108,
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      "text": "處理完成以後呢,",
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      "temperature": 0,
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      "no_speech_prob": 1.4689810132195724e-11,
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    {
      "id": 109,
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      "text": "他就會把蒸餾結果交給你了。",
      "tokens": [
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      "temperature": 0,
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      "source": "whisper",
      "text_original": "他就會把蒸留結果交給你了。",
      "correction_applied": true,
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    {
      "id": 110,
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      "text": "拿到結果以後呢,",
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      "temperature": 0,
      "avg_logprob": -0.12224133189131574,
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      "no_speech_prob": 1.4577001064552952e-11,
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    {
      "id": 111,
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      "text": "可以先檢查三個方面。",
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    },
    {
      "id": 112,
      "seek": 22460,
      "start": 226.9,
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      "text": "第一呢,",
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      "avg_logprob": -0.12224133189131574,
      "compression_ratio": 1.4482758620689655,
      "no_speech_prob": 1.4577001064552952e-11,
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    },
    {
      "id": 113,
      "seek": 22460,
      "start": 227.29999999999998,
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      "text": "就是這個Skill到底幫你解決了什麼問題。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.12224133189131574,
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      "no_speech_prob": 1.4577001064552952e-11,
      "source": "whisper"
    },
    {
      "id": 114,
      "seek": 22460,
      "start": 229.4,
      "end": 229.79999999999998,
      "text": "第二呢,",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.12224133189131574,
      "compression_ratio": 1.4482758620689655,
      "no_speech_prob": 1.4577001064552952e-11,
      "source": "whisper"
    },
    {
      "id": 115,
      "seek": 22460,
      "start": 229.79999999999998,
      "end": 231.7,
      "text": "就是什麼情況下應該調用它。",
      "tokens": [
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      "temperature": 0,
      "avg_logprob": -0.12224133189131574,
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      "no_speech_prob": 1.4577001064552952e-11,
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    },
    {
      "id": 116,
      "seek": 22460,
      "start": 231.7,
      "end": 232.1,
      "text": "第三呢,",
      "tokens": [
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      "avg_logprob": -0.12224133189131574,
      "compression_ratio": 1.4482758620689655,
      "no_speech_prob": 1.4577001064552952e-11,
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    },
    {
      "id": 117,
      "seek": 22460,
      "start": 232.1,
      "end": 233.1,
      "text": "就是調用之後呢,",
      "tokens": [
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      "no_speech_prob": 1.4577001064552952e-11,
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    },
    {
      "id": 118,
      "seek": 22460,
      "start": 233.1,
      "end": 235.1,
      "text": "它按照什麼步驟來進行執行。",
      "tokens": [
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      "text": "可以直接讓AI調用這個Skill,",
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      "text": "還有第二項,",
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      "text": "如何把你欣賞的博主的某項技能蒸餾成Skill為你所用。",
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      "text": "這個我們下期再講。",
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