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    # 智慧助教來襲:使用Code Assist與RAG引爆程式開發與學習體驗 - 陳琮文 & 劉昱志 {%hackmd @HWDC/BJOE4qInR %} >#### 》[議程介紹](https://hwdc.ithome.com.tw/2024/session-page/3246) >#### 》[填寫議程滿意度問卷|回饋建言給辛苦的講者](https://forms.gle/n6TRWqGnbx7ano8E7) ## AI? - 圖書館長 - 包含一切的知識 - 擁有處理資訊、學習、解決問題的能力 1. 第一次工業革命 蒸氣時代 2. 第二次工業革命 電器時代 electricity 3. 第三次科技革命 資訊時代 information 4. 第四次科技革命 人工智慧 A.I. ## tech innovation & iteration acceleration 達到一億用戶所花的時間: - ChatGPT < 2 個月 - Tiktok 9 個月 - IG 30 個月 ## Popular AI tools NL - Speech Recognition - Language Translation Recommendation Tool - Product Recomm - Amazon - Content Recomm - Youtube Video Recomm ## AI Development Assistant GenAI x LLM - Librarian - Know it All - Search Engine Code Quality Test Automation and Documentation 提升開發效率 理解程式碼 實際開發場景的測試 - 未符合公司環境 - 過度簡化 - 仍有先備知識 ## 導入銀行前要先討論什麼? 行內的資安議題 - Log 是否可看到詳細提示詞? - 如何確認使用者上傳的資料部會用來訓練模型?以及是否會落地? ### 開始 Gemini Code Assist 實驗 #### 實驗項目 - 程式碼生成 - 產生單元測試 - 程式碼註解 - 程式碼解釋 - Java & .NET #### 個人生產力差距 - 初階開發人員 +26% - 資深開發人員 +15% - 新進人員 2.85倍 - SD人員 不明顯 #### 程式開發速度差異 - 有用AI - 快 12.4% - 有用AI - 減少 0.8 小時 #### 單元測試 - 快 58 % - 請 ChatGPT 產生測試計畫腳本 -> 修訂測試計畫 -> 產生單元測試程式碼 #### 原廠案例教你怎麼問 - 提示詞應更詳細,不應該只是寫出參考內容 - 直接點出要參考的檔案名稱 - 提示詞中提及的關鍵字,會在下方明確列出,讓AI更可以偵測到 - 部分詞彙可使用英文 開發互動 AI Chatbot 工商:5月 Java 開發 ## LLM 的風險與挑戰 風險 - 訓練資料中存在的偏見歧視 - 生成惡意內容仇恨or假新聞 挑戰 - 決策 難解釋 ## RAG(檢索+生成式模型) - 精準地找到我們想要的內容 - AI 幻覺 - 一本正經胡說八道 - 擴展知識範圍,提升應用靈活性 - 提升回答準確性,豐富回答內容 - 實時更新資料庫,減少訓練成本 ## AI Chatbot x Bank 知識管理系統 - 使用知識管理系統現有架構,結合程式設計規範等內部資料 ## AI Chatbot 在培訓人員的應用案例 - 重複性問題的回答 未來趨勢與挑戰

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