{ "text": "最近很多AI大公司\n他們都推出了他們新的AI agent工具\n好像是XAI就推出了GraphBolt\nGoogle就出了GMI Spark\n那一些傳統的AI大公司就好像OpenAI\n他們一直都用Codex\n那Enthropec的話就有Codecode\n而且他們推出的AI agent工具都越來越簡單\n不像是我們一開始的時候\n去使用Code又或者是Codex那樣子\n能不能拿上手了\n所以我們在這個AI agent的時代裡面\n我覺得大家首先需要了解\n又或者是學會的一件事情就是\nSkill\n但是如果大家連AIA券都不知道是什麼的話呢\n我在這邊也非常快的先跟大家介紹一下什麼是AIA券\n簡單來說呢我們平時使用的那些Gemina或者是TrackGPT\n那些就是一個普通的代語言模型\n他們是不能夠直接幫我們去做事情的\n充其讓他就是一個比較聰明一點的Google\n所以我們在使用TrackGPT 優惡者是Gemina的時候\n還是停留在一個疑問一答的一個情況裡面\n但是如果我們是使用AIA券\n他就可以幫我們直接做好一件事情\n比如說我跟AI Agent招待了一件事情\n跟他做好了我的目標\n他就可以直接幫我們去做好\n他也可以操作我們的電腦\n看我們電腦裡面的檔案\n根據這些檔案的資料\n直接幫我們去做事情\n如果他遇到不會不懂的事情\n他也可以直接上網去查\n查好了之後\n再去幫我們去做\n所以最後我們只需要檢查一下\nAI Agent他幫我們做出來的成果\n成品好不好就可以了\n這一個就是我們使用一般的大語言\n模型還有AI Agent最大的一個區別\n那我們在使用AI Agent的時候\n我們必須要學會一件事情就是Skill\n比如這個例子\n我想讓AI Agent自己去搜尋一下\n最近十幾天的一個新聞\n之後就根據他搜尋到的這些新聞\n配合我想要的題目的架構\n來幫我做一批新的題目\n給學生們他們去做練習\n那我在這整個過程當中\n我就只是很簡單的跟他說\n運行了這個Skill\n之後他就會幫我做好題目還有答案\n然後還幫我把所有的東西\n整理放好了在GlueDrop上面\n那我们在GlueDrop上面就可以看到\n他究竟是用了哪些的行为\n然后他是参考了我\n放在GlueDrop上面里面的资料\n来模拟这些题目的架构\n又或者是字体的一个风格的\n之后AI就会帮我做好了不同的选择题\n还有相关题目的一些的答案\n还有评分的参考\n那我弄这一整份\n练习院的一个过程当中\n其实我就只是简单的跟他说了\n运行这个skill\n其他什么东西都没有\n他就可以做好一份\n这么好的一个答案给我们了\n那这个就是使用了skill\n还有没有使用skill的一个区别\n如果我们没有使用skill的话呢\n我们可能需要一开始的时候\n先给到一个指令给到AI\n就是让他帮我上网\n去查一下最新的一个新闻\n查好了这些新闻之后呢\n我们还需要自己检查这些新闻\n合不合适\n当我们筛选好了这些新闻之后呢\n我还要告诉AI\n你就参考之前我上传给他的\n那个题目的风格\n帮我再根据刚刚的新闻创建一批新的题目\n当它做好了题目之后呢\n我还要自己把这些题目复制贴上\n放到Google Doc上面\n中间很多都需要我们手动的\n去把AI给我们的成品\n自己去串联在一起\n但是如果我们是用了Skill的话呢\n每一个步骤我们都可以很清楚的\n告诉AI到底什么的新闻是适合用来做题目的\n也些是不适合的\n我们已经可以把这个筛选的一个指标\n事先给到AI agent\n他就可以自己通過這些的新聞\n然後自己去做上一個步驟了\n所以每一個步驟\nAI都可以根據我們事件\n給到他的規則準則\n自己去做好\n我們只需要做最後的\n驗獸的這個步驟就可以了\n那根據這個模式\n其實不僅僅是\n好像我剛剛那個例子\n你也可以讓AI上網\n去查各種你需要的資料\n然後根據你公司優惠者是\n你想要的一個需求規則\n去篩選分析\n然後讓AI自己去檢查一下\n他弄出來的成品\n的效果是好或者是不好\n弄好了之後再把這些資料儲存在你想要的地方\n又或者可以讓AI\n再去發一個郵件通知給其他的部門\n又或者是發給其他公司通通都沒有問題\n那大家基本理解了什麼是SKILL之後呢?\n接下來我們今天這一條影片\n就會跟著具體的跟大家解釋一下\n到底SKILL是什麼\n它跟Prom就是\n之前我們常使用的提示詞\n差別是在哪裡\n應該怎麼樣去找\n怎麼樣去安裝\n還有需要注意的一些事項\n怎麽樣可以把其他人的Skill變成我們自己的Skill\n其實我們之前用的這些提示詞就是Prom還有Skill\n他們的差別是在哪裏呢\n我覺得Skill其實就是一個進階版進化版的一個Prom\n所有Prom有的東西Skill它都會有\n比如這個資料夾裡面就是我用來分析YouTube影片的Skill\n大家可以看它其實它當中是包括了非常多各種不同的東西的\n但當中最重要的話就是這個Skill.MD\n就是一個給AI agent他看的一個說明書\n讓AI agent知道什麼情況他應該怎麼樣去處理\n所以一個Skill呢\n其實他是有一整個資料夾在裡面的\n他不僅僅會有一份的說明書\n那這個說明書其實就會是好像\nHome一樣也是一段文字\n但是呢在這個Skill的資料夾裡面\n就會有其他一些參考的資料\n讓AI agent知道他做出來的一個效果\n應該是跟你這些給他的一些參考資料\n要是差不多的一個品質的\n還有會有一些的找本\n是告訴AI Agent\n當他接觸到\n比如說是A這個情況的時候\n就需要用到A這個找本\nB這個情況就需要用到B這個找本\n而且我們在使用Skill的時候呢\n正常來說AI他就會自動的去判斷\n什麼樣的情況他會觸發到這個Skill\n所以我們不需要很刻意的告訴AI Agent\n我需要用什麼什麼樣的Skill\n不需要這樣子\n而是我們可以直接給到一個任務\n給到AI Agent\n然後AI Agent他會自動的去判斷\n他應該用到哪個Skill的\n所以當我們弄好一個Skill之後呢\n他就可以不斷的重複幫我們去處理\n同一個類型的任務了\n比如說你每天或者是每週\n都有一個差不多的任務是需要做的\n那我們就可以把整個過程打包成為一個Skill\n讓AI每天幫我們去做了\n它每一步都會根據我們定的一個規則去行動\n所以當我們用了Skill之後\nAI做出來的成品就會更加一致性了\n就會更加的規模化了\n如果我們沒有用Skill的話\n有可能AI做出來的東西\n它做出來的成品\n每一次做出來的樣子都是不一樣的\n如果它每一次做出來的樣子都是不一樣的話呢\n我們就很難在公司裡面去使用了\n但是我們用了Skill之後\n可以把我們公司的那一套的規則\n又或者是規矩交給AI Agent\n就變成了AI Agent\n他做出来的成品\n是真正可以放在你们公司上面可以使用\n当大家理解了skill是什么之后呢\n我们接下来再来说一下\n我们可以去什么地方找到这些skill\n最简单的方法呢\n其实就是直接让AI\n去GitHub上面帮我们去查一下\n有没有一些可以帮我们解决这个需求的一些的skill\n好像我这个例子\n我就跟AI说\n我想要处理的事情就是\n我想要一个可以记录学生层次表现\n还有他们的行为的记录分析的一个工具\n所以就讓他幫我上網去查一下\n有沒有一些成品的Skill\n可以做到這件事情\n那當他幫我找到這個Skill之後呢\n就不要馬上幫我安裝\n我需要先知道\n這個Skill裡面是包括了什麼樣的東西\n使他可以幫我們做到什麼樣的效果\n適合什麼情況\n又或者是不適合什麼情況去使用的\n我就要一個非常詳細的一個報告\n所以呢\n我就讓AI Agent上網去幫我們去查一下\n之後呢\n他就會直接幫我們去上網\n特別就是針對GekHub上面\n因為在GekHub上面有非常多\n免費的一些開源的工具\n或者是skill\n我們就可以參考一下\n然後好像這一個\nAI它就會幫我們查到\nAnthroby官方\n它就會在GekHub上面\n他就會在Github上面\n就會有這一個skill\n那當AI幫我們找到了一些skill之後\n我們就可以自己點進去\nGithub的網站上面\n去看一下到底這個項目\n他的星星的數量是多少的\n那這個星星的數量代表什麼呢\n就是代表這一個項目的熱門的程度\n越多星星的話就代表它是越受歡迎的\n另外呢我們也是要看一下這一個\nLast Week 它在這邊呢就會顯示一下\n它之前更新的時間是多久之前\n那如果這一個項目\n它可能是半年或者是一年之前弄出來的\n那我們就可能選擇其他比較新的一些的項目\n之後呢我們可以再看一下這個 Week Meet\n就是這個Skill的一個說明書\n那如果你對這些Skill\n又或者是這些內容不太了解的話呢\n我們其實也可以回到你的AI Agent上面\n我們可以讓他針對他幫我們研究到的某一個Skill\n你可以跟他說再給你一份更加具體更加詳細的一個研究報告\n那在他這邊他首先給過的就是一個清淡而已\n那如果你看了之後\n有一些Skill你是有興趣的\n你想要進一步了解的\n你就可以直接跟他說你想要進一步了解什麼樣的Skill\n讓他再幫你去做一個進一步的演奏\n這個也完全沒有問題\n那我們就可以通過這個方法很方便很簡單的\n就可以讓AI agent找到一些符合我們需求的Skill\n但是當大家找到了這些Skill之後呢\n不要新奇不要馬上的去安裝這些Skill\n因為其實Skill不僅僅只是一個文字來的\n它是有可能在這個Skill裡面\n可能會隱藏了一些有惡意的一些指令的\n所以當我們找到一些可能覺得合用的一些skills之後呢\n我們在安裝之前可以讓AI agent信頒我們\n仔細的針對這些skills\n看一下以下這五件事情\n就是我們需要了解一下這個skills會碰我哪些的答案\n會不會自動的把我上去中置呢\n會不會把我的資料傳到其他的地方呢\n裡面會不會有一些我看不到的一些執行的指令\n又或者其實他會幫我偷偷的安裝這些的套件\n又或者會不會跟功能官專門寫給AI看的一些隱藏的指令\n他會不會讀我的API IQ或者是環境變數呢\n其實的問題我們都需要先讓AI Agent幫我們了解清楚\n之後我們再去安裝\n那我們安裝的方法其實也非常的簡單\n就只是在AI Agent裡面跟他說一句\n幫我安裝這個Skill\nAI Agent就會自動幫你安裝了\n當我們安裝好了一個Skill之後呢\n我們就可以運作這個Skill\n試試看它可不可以成功的運作\n又或者我們可以看一下\n檢查一下\n用了這個Skill弄出來的成品\n是不是符合我們期望的\n之後呢就來到這一條影片最重要的一步了\n就是怎麼樣可以把其他人的Skill\n變成你自己的Skill\n為什麼要這樣子做呢\n大家可以想像一下\n其實我們在Gateoff上面\n下角下來其他人的Skill\n就好像一台新的手機\n那你買了一台新手機回去之後\n肯定很多東西都是他們原廠的東西\n你可能需要修改一下你的封面\n然後下載一下新的APP\n又或者是把一些帳戶都需要登入進去\n把整台手機變成你自己的手機\n那我們在使用Skill的情況其實也是一樣的\n我們可以想像成為剛剛下載的其他弄好的Skill\n其實都是一些原廠的Skill\n它不會對你的行為\n不會對你自己的個人的數據\n又或者你的情況有任何的了解\n所以我們接下來呢\n就需要把你自己的情況\n你的資料\n給到 AI Agent\n讓他寫在這個 SKILL 裡面\n之後呢這個 SKILL\n出來的東西\n就會更加符合你自己的需求\n就變成了一個\n屬於你自己\n定制化的 SKILL 呢\n這樣子用起來的時候呢\n就會更加的方便有效率了\n所以我們把這個 SKILL 安裝好之後呢\n可以讓 AI Agent\n先運作這個 SKILL 一遍\n之後呢\n我們再來看一下\n他做出來的效果如何\n如果有問題的話呢\n我們可以再跟AI Agent講清楚這幾件事情\n比如說你想要AI Agent\n通過這個Skill做出來的作品\n成果應該是長什麼樣子的\n也要非常具體的告訴他\n而且你要告訴AI Agent\n你弄好了這個成果之後\n你要拿去做什麼的\n或者說有沒有一些限制的\n還有這一份文件是給誰看的\n那除了剛剛跟AI文字上的溝通之外呢\n還有一個更加好的做法就是\n給一個參考物給到AI agent\n因為我們跟AI說\n或者是跟AI溝通的時候呢\n可能很有可能很多人都會用一個好的這個字\n去跟AI去溝通的\n但是你自己心裡面覺得好的定義\n跟AI覺得好的定義很有可能是不一樣的\n可能你覺得好的意思就是\n面板需要再乾淨一點\n至少一點\n需要增加更加多的圖片\n但是AI就可能會覺得\n好一點的意思就是\n內容要更加豐富一點\n所以它就會更加多的文字了\n所以我們需要用一個實物\n去告訴AI\n怎麼樣是好的\n我們可以把我們之前做好的一些成品\n直接上傳給到AI\n因為這一份成品是你之前已經做好\n你覺得好的東西\n所以這個就是你的標準了\n又或者我們可以把其他人\n你覺得好的一些例子\n也可以上傳給到AI\n除了一些你覺得好\n又或者你已經做好的成品之外呢\n我們也可以給到AI一些的反例\n我們可以直接上傳\n然後跟AI說\n這一個就是我不想要的樣子\n你可以讓AI從一些反面的造財裡面\n也可以學習到你想要的風格如何\n那我們除了丟這些的參考物給到AI之外呢\n我們也需要告訴AI\n希望AI可以從這個參考物裡面\n學習到什麼樣的東西\n比如說是學習到它的結構嗎\n還是語氣還是排版\n除非你是想要所有东西都是让AI学习好的\n要不然的话呢\n你就需要非常具体的告诉AI\n需要学的东西是什么\n那如果你完全没有一些参考物给到他怎么办呢\n也没有关系\n我们可以让AI先给我们弄几个不同的版本\n之后你再从一个你觉得比较好的一个版本里面去选择一个\n之后呢\n再把每一个不满意的地方\n很具体的跟AI说\n哪个地方是不好的\n怎么说呢\n我們需要跟AI說\n這個位置、方向還有程度\n比如說你可以跟他說\n第幾段太長了\n需要壓到幾句以內\n重點是把\n重点是把握什么什么样的地方\n那如果一个不好的一个沟通\n又或者是一个不好的一个例子\n就是跟AI说再好一点\n这个感觉不太好\n你自己再去想象\n如果我们是这样子\n跟AI说话的话呢\n才有可能他改個四五遍給我們\n都做不到我們想要的一個效果\n那根據我們剛剛的那個方法去變AI溝通之後呢\n我們就可以讓AI再幫我們去弄一個成品出來\n就不斷重複這個過程\nAI弄好的一個成品給我們\n我們就跟他說問題在哪\n之後AI就會再去改善\n如果我們看到了問題之後\n再讓AI改\n就一直重複這個步驟\n但AI他真正可以弄到一份\n我們覺得OK沒有問題的一個成品之後呢\n我們就可以跟AI說\n根據我們剛才說的討論的修正\n優化好這個Skill\n之後呢\nAI他就會直接把你剛剛下載的那個Skill改良好了\n他就會根據你們對話的這個紀錄\n然後就看一下有什麼需要低字化的地方\n把這個Skill變成屬於你自己的Skill\n所以我們想要用好AI Agent\n用好Skill\n並不是說安裝很多其他人覺得好的這些Skill\n然後就是用的好了\n其實你想要用好Skill用好AI Agent\n是真正的把這些skills融合到你自己平時使用的情況\n又或者是融合到你公司的一個實際的情況\n把這些skills變成定製化\n有你個人風格有你公司風格的這些skills\n所以通過這個方法不斷的調照AI agent\n不斷的調教這些skills之後呢\nAI做主要的效果就會越來越符合你的期望了\n總結來說只需要做到以下四個步驟\n你就可以擁有一個屬於你自己的skills了\n第一個步驟就是讓AI上網去幫你查一下\n有什麼現成一些skill\n但你找到一個你覺得不錯的skill之後呢\n記得要讓AI幫我們去進行一個安全的檢查\n查一下這個skill有沒有一些風險的問題\n之後再讓AI去安裝\n當AI安裝好之後呢\n我們就可以先讓AI跑一遍\n然後再告訴AI它給你的成品的問題是在哪裡\n我們記得需要具體的跟AI說問題在哪\n還有給到一些參考物給到AI\n慢慢這樣子重複這個過程\n最後就可以優化這個Skill變成屬於你自己定制化的Skill了\n那如果說\n你要也要上網查的Skill其實都並不符合你的期望的\n你只想要從零開始自己重新設置好這個Skill\n那又要怎麼樣去做呢\n因為這個步驟就會比較複雜一點\n所以我之後就會另外拍一條影片\n再去跟大家去講解\n那這一條的影片就先到這裡了\n如果大家有任何問題的話呢\n都可以在這一條影片上面留言\n那如果大家想要拿到這一條影片裡面\n给大家展示的这个PPT的话呢\n就可以加入我的AI自动画学习中心\n就可以下载这份的PPT了\n而且里面还有很多其他有关AI学习的一些的心得\n或者是各种不同工具的使用方法\n在右的链接呢\n我就放在影片说明栏那里\n如果大家觉得这一条影片对你有帮助的话呢\n记得帮我点个赞\n还有订阅我的频道\n那我们下一条影片再见\n拜拜", "language": "multilingual", "duration": 1057.251, "segments": [ { "start": 0.0, "end": 1.54, "text": "最近很多AI大公司", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 1.54, "end": 3.9, "text": "他們都推出了他們新的AI agent工具", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 3.9, "end": 6.04, "text": "好像是XAI就推出了GraphBolt", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 6.04, "end": 7.7, "text": "Google就出了GMI Spark", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 7.7, "end": 10.58, "text": "那一些傳統的AI大公司就好像OpenAI", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 10.58, "end": 11.84, "text": "他們一直都用Codex", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 11.84, "end": 13.48, "text": "那Enthropec的話就有Codecode", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 13.48, "end": 16.88, "text": "而且他們推出的AI agent工具都越來越簡單", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 16.88, "end": 18.32, "text": "不像是我們一開始的時候", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 18.32, "end": 20.48, "text": "去使用Code又或者是Codex那樣子", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 20.48, "end": 21.58, "text": "能不能拿上手了", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 21.58, "end": 24.02, "text": "所以我們在這個AI agent的時代裡面", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 24.02, "end": 25.96, "text": "我覺得大家首先需要了解", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 25.96, "end": 28.22, "text": "又或者是學會的一件事情就是", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 28.22, "end": 29.1, "text": "Skill", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 29.1, "end": 32.5, "text": "但是如果大家連AIA券都不知道是什麼的話呢", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 32.5, "end": 36.6, "text": "我在這邊也非常快的先跟大家介紹一下什麼是AIA券", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 36.6, "end": 41.4, "text": "簡單來說呢我們平時使用的那些Gemina或者是TrackGPT", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 41.4, "end": 44.1, "text": "那些就是一個普通的代語言模型", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 44.1, "end": 47.1, "text": "他們是不能夠直接幫我們去做事情的", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 47.1, "end": 49.7, "text": "充其讓他就是一個比較聰明一點的Google", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 49.7, "end": 52.8, "text": "所以我們在使用TrackGPT 優惡者是Gemina的時候", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 52.8, "end": 55.8, "text": "還是停留在一個疑問一答的一個情況裡面", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 55.8, "end": 58.5, "text": "但是如果我們是使用AIA券", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 58.5, "end": 61.44, "text": "他就可以幫我們直接做好一件事情", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 61.44, "end": 63.9, "text": "比如說我跟AI Agent招待了一件事情", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 63.9, "end": 65.3, "text": "跟他做好了我的目標", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 65.3, "end": 67.04, "text": "他就可以直接幫我們去做好", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 67.04, "end": 68.7, "text": "他也可以操作我們的電腦", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 68.7, "end": 70.3, "text": "看我們電腦裡面的檔案", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 70.3, "end": 71.9, "text": "根據這些檔案的資料", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 71.9, "end": 73.5, "text": "直接幫我們去做事情", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 73.5, "end": 75.9, "text": "如果他遇到不會不懂的事情", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 75.9, "end": 77.6, "text": "他也可以直接上網去查", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 77.6, "end": 78.6, "text": "查好了之後", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 78.6, "end": 79.8, "text": "再去幫我們去做", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 79.8, "end": 82.1, "text": "所以最後我們只需要檢查一下", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 82.1, "end": 84.5, "text": "AI Agent他幫我們做出來的成果", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 84.5, "end": 85.9, "text": "成品好不好就可以了", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 85.9, "end": 88.2, "text": "這一個就是我們使用一般的大語言", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 88.2, "end": 90.96, "text": "模型還有AI Agent最大的一個區別", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 90.96, "end": 92.68, "text": "那我們在使用AI Agent的時候", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 92.68, "end": 95.44, "text": "我們必須要學會一件事情就是Skill", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 95.44, "end": 96.28, "text": "比如這個例子", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 96.28, "end": 98.72, "text": "我想讓AI Agent自己去搜尋一下", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 98.72, "end": 100.52, "text": "最近十幾天的一個新聞", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 100.52, "end": 102.84, "text": "之後就根據他搜尋到的這些新聞", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 102.84, "end": 105.08, "text": "配合我想要的題目的架構", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 105.08, "end": 106.56, "text": "來幫我做一批新的題目", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 106.56, "end": 108.12, "text": "給學生們他們去做練習", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 108.12, "end": 109.76, "text": "那我在這整個過程當中", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 109.76, "end": 111.8, "text": "我就只是很簡單的跟他說", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 111.8, "end": 113.2, "text": "運行了這個Skill", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 113.2, "end": 116.12, "text": "之後他就會幫我做好題目還有答案", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 116.12, "end": 118.0, "text": "然後還幫我把所有的東西", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 118.0, "end": 120.1, "text": "整理放好了在GlueDrop上面", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 120.1, "end": 122.34, "text": "那我们在GlueDrop上面就可以看到", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 122.34, "end": 124.2, "text": "他究竟是用了哪些的行为", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 124.2, "end": 125.9, "text": "然后他是参考了我", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 125.9, "end": 128.14, "text": "放在GlueDrop上面里面的资料", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 128.14, "end": 130.34, "text": "来模拟这些题目的架构", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 130.34, "end": 132.14, "text": "又或者是字体的一个风格的", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 132.14, "end": 135.06, "text": "之后AI就会帮我做好了不同的选择题", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 135.06, "end": 137.26, "text": "还有相关题目的一些的答案", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 137.26, "end": 139.06, "text": "还有评分的参考", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 139.06, "end": 140.38, "text": "那我弄这一整份", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 140.38, "end": 142.32, "text": "练习院的一个过程当中", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 142.32, "end": 145.0, "text": "其实我就只是简单的跟他说了", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 145.0, "end": 146.02, "text": "运行这个skill", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 146.02, "end": 147.36, "text": "其他什么东西都没有", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 147.36, "end": 148.5, "text": "他就可以做好一份", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 148.5, "end": 150.36, "text": "这么好的一个答案给我们了", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 150.36, "end": 152.0, "text": "那这个就是使用了skill", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 152.0, "end": 153.9, "text": "还有没有使用skill的一个区别", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 153.9, "end": 156.06, "text": "如果我们没有使用skill的话呢", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 156.06, "end": 157.8, "text": "我们可能需要一开始的时候", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 157.8, "end": 160.1, "text": "先给到一个指令给到AI", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 160.1, "end": 161.9, "text": "就是让他帮我上网", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 161.9, "end": 164.12, "text": "去查一下最新的一个新闻", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 164.12, "end": 165.92, "text": "查好了这些新闻之后呢", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 165.92, "end": 168.38, "text": "我们还需要自己检查这些新闻", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 168.38, "end": 169.22, "text": "合不合适", "language": "zh", "chunk": 0, "local_language_run": 0, "language_run": 0 }, { "start": 169.22, "end": 171.66, "text": "当我们筛选好了这些新闻之后呢", "language": "zh", "chunk": 0, 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"text": "之後呢", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 926.051, "end": 931.491, "text": "AI他就會直接把你剛剛下載的那個Skill改良好了", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 931.491, "end": 933.731, "text": "他就會根據你們對話的這個紀錄", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 933.731, "end": 936.291, "text": "然後就看一下有什麼需要低字化的地方", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 936.291, "end": 938.811, "text": "把這個Skill變成屬於你自己的Skill", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 938.811, "end": 940.971, "text": "所以我們想要用好AI Agent", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 940.971, "end": 941.931, "text": "用好Skill", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 941.931, "end": 945.371, "text": 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"但你找到一個你覺得不錯的skill之後呢", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 982.651, "end": 986.611, "text": "記得要讓AI幫我們去進行一個安全的檢查", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 986.611, "end": 989.851, "text": "查一下這個skill有沒有一些風險的問題", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 989.851, "end": 992.051, "text": "之後再讓AI去安裝", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 992.051, "end": 993.751, "text": "當AI安裝好之後呢", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 993.751, "end": 996.271, "text": "我們就可以先讓AI跑一遍", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 996.271, "end": 999.471, "text": "然後再告訴AI它給你的成品的問題是在哪裡", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 999.471, "end": 1002.671, "text": "我們記得需要具體的跟AI說問題在哪", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 1002.671, "end": 1004.871, "text": "還有給到一些參考物給到AI", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 1004.871, "end": 1006.571, "text": "慢慢這樣子重複這個過程", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 1006.571, "end": 1010.791, "text": "最後就可以優化這個Skill變成屬於你自己定制化的Skill了", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 1010.791, "end": 1011.631, "text": "那如果說", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 1011.631, "end": 1015.651, "text": "你要也要上網查的Skill其實都並不符合你的期望的", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 1015.651, "end": 1019.891, "text": "你只想要從零開始自己重新設置好這個Skill", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 1019.891, "end": 1021.551, "text": "那又要怎麼樣去做呢", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 1021.551, "end": 1023.671, "text": "因為這個步驟就會比較複雜一點", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 1023.671, "end": 1025.651, "text": "所以我之後就會另外拍一條影片", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 1025.651, "end": 1027.111, "text": "再去跟大家去講解", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 1027.111, "end": 1029.051, "text": "那這一條的影片就先到這裡了", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 1029.051, "end": 1030.591, "text": "如果大家有任何問題的話呢", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 1030.591, "end": 1032.511, "text": "都可以在這一條影片上面留言", "language": "zh", "chunk": 2, "local_language_run": 0, "language_run": 0 }, { "start": 1032.511, "end": 1034.751, "text": "那如果大家想要拿到這一條影片裡面", "language": "zh", "chunk": 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