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本書是為高等職業院校人工智能通識課程體系的"人工智能導論”課程全新設計的一本新形態教材。盡管"人工智能導論”是一門理論與實踐緊密結合的課程，但在科技迅速發展的當代，舊有技術可能迅速被新技術取代。因此，本書立足於人工智能時代的前沿，註重培養讀者的人工智能思維方式，拓寬知識視野，而非局限於某些技術細節的本書從基礎開始，由淺入深進行學習，可幫助讀者逐步理清人工智能的核心技術和發展趨勢。全書共設7個章節，從人工智能基礎知識切入，介紹了人工智能概述、人工智能的行業應用與分類及人工智能的缺點與行業法規。隨後，闡述了生成式人工智能（AIGC）體驗、Python 基礎編程與智能編程、感知交互式人工智能（AIPI）應用、AI 辦公應用與實踐、FastGPT 智能體開發、代碼審核助手等實操內容。深度講解。
目錄大綱
第 1 章 人工智能入門 ·······················································································.1
本章導學 ······································································································.1
學習目標 ······································································································.1
1.1
初識人工智能 ·························································································.1
1.1.1
人工智能概述 ················································································.2
1.1.2
1.1.3
1.2
人工智能發展史 ·············································································.3
人工智能學派與研究目標 ·································································.4
人工智能的行業應用與分類 ·······································································.6
1.2.1
人工智能行業應用與產業結構解析 ·····················································.6
1.2.2
1.3
人工智能分類與術語解釋 ································································.11
人工智能的缺點與行業法規 ······································································.15
1.3.1
人工智能的缺點與風險 ···································································.15
1.3.2
1.4
人工智能相關行業法規 ···································································.16
復習與挑戰 ···························································································.17
1.4.1
本章總結 ·····················································································.17
1.4.2
思考與練習 ··················································································.17
第 2 章 生成式人工智能體驗 ·············································································.20
本章導學 ·····································································································.20
學習目標 ·····································································································.20
2.1
大語言模型與提示詞 ···············································································.20
2.1.1
大語言模型基礎認知 ······································································.20
2.1.2
2.2
提示詞工程實用指南 ······································································.22
智能音頻生產線 ·····················································································.26
2.2.1
海綿音樂平臺基礎 ·········································································.26
2.2.2 AI 音樂生成技術原理 ·····································································.27
2.3
動態視覺生成系統 ··················································································.33
2.3.1
通義萬相平臺 ···············································································.33
2.3.2
AI 視頻生成原理 ···········································································.34
人工智能基礎與應用
2.4
2.5
多模態內容創作 ·····················································································.39
2.4.1
單模態與多模態 ············································································.39
2.4.2 Metaso 平臺 ·················································································.40
復習與挑戰 ···························································································.43
2.5.1
本章總結 ·····················································································.43
2.5.2
思考與練習 ··················································································.44
第 3 章 Python 基礎編程與智能編程 ···································································.47
本章導學 ·····································································································.47
學習目標 ·····································································································.47
3.1 Python 基礎語法 ·····················································································.47
3.1.1
變量與數據類型 ············································································.47
3.1.2
3.1.3
3.1.4
3.1.5
3.1.6
運算符 ························································································.49
流程控制 ·····················································································.52
數據結構 ·····················································································.55
函數 ···························································································.59
異常處理 ·····················································································.63
3.2 Python 進階應用 ·····················································································.66
3.2.1
標準庫：文件操作與數據序列化 ·······················································.66
3.2.2
3.3
第三方庫：網絡請求與數據處理 ·······················································.70
智能編程 ······························································································.80
3.3.1
通義靈碼平臺 ···············································································.80
3.3.2 VS Code 集成通義靈碼 ···································································.81
3.3.3
通義靈碼智能編程 ·········································································.83
3.4
復習與挑戰 ···························································································.85
3.4.1
本章總結 ·····················································································.85
3.4.2
本章檢測 ·····················································································.86
第 4 章 感知交互式人工智能應用 ·······································································.89
本章導學 ·····································································································.89
學習目標 ·····································································································.89
4.1
計算機視覺 ···························································································.89
4.1.1 AIPI 與 AIGC 的對比······································································.89
4.1.2
基於 Tesseract 和 EasyOCR 的車牌識別 ···············································.91
4.1.3
4.2
基於 OpenCV 的人臉識別門禁系統 ····················································.98
語音識別 ····························································································.105
4.2.1
環境搭建 ···················································································.106
4.2.2
4.2.3
語音識別的工作原理與步驟 ···························································.107
會議語音轉文字助手 ····································································.109
4.3
智能搜索 ····························································································.116
4.3.1
智能搜索及工作原理 ····································································.117
4.3.2
4.4
建立基於語義向量的本地知識庫智能搜索系統 ···································.117
復習與挑戰 ·························································································.127
4.4.1
本章總結 ···················································································.127
4.4.2
本章檢測 ···················································································.127
第 5 章 AI 辦公應用與實踐 ·············································································.130
本章導學 ···································································································.130
學習目標 ···································································································.130
5.1
AI 辦公全景圖：從理論到應用 ································································.130
5.1.1 WPS AI 強勢崛起：開啟 AI 辦公新紀元 ···········································.130
5.1.2 WPS AI 賦能文字處理：全方位智能辦公新體驗 ·································.133
5.1.3 WPS AI 賦能演示制作：智能 PPT 生成與優化 ···································.143
5.2
5.3
AI 數據可視化：從概念到實踐 ································································.156
5.2.1 WPS AI 賦能表格處理：智能數據分析與公式助手 ······························.156
5.2.2 WPS AI 賦能 PDF 處理：智能閱讀與深度解析 ···································.175
復習與挑戰 ·························································································.182
5.3.1
本章總結 ···················································································.182
5.3.2
本章檢測 ···················································································.183
第6章 FastGPT 智能體開發 ··········································································.186
本章導學 ···································································································.186
學習目標 ···································································································.186
6.1 FastGPT 平臺核心功能入門 ····································································.186
6.1.1
智能體：重新定義 AI 的“能力邊界” ·············································.187
6.1.2
從“大模型依賴”到“智能體革命” ···············································.188
6.1.3 FastGPT：開源智能體的“技術標桿” ·············································.189
6.2 FastGPT 智能體基礎開發 ·······································································.193
6.2.1
實時天氣查詢助手：插件實戰 ························································.193
6.2.2
6.2.3
教學資源智能檢索：知識庫應用 ·····················································.204
每日記賬智能助手：數據庫實戰 ·····················································.213
6.3 FastGPT 智能體進階實戰 ·······································································.216
6.3.1 FastGPT 正能量推送系統搭建 ························································.216
6.3.2
智能旅遊助手系統構建 ·································································.225
6.4
復習與挑戰 ·························································································.236
6.4.1
本章總結 ···················································································.236
6.4.2
本章檢測 ···················································································.236
第7章 代碼審核助手——跨應用協同開發助手 ···················································.239
本章導學 ···································································································.239
學習目標 ···································································································.239
7.1
項目概述 ····························································································.239
7.2
7.3
7.4
7.5
7.6
系統設計 ····························································································.240
環境準備 ····························································································.241
核心功能實現 ······················································································.241
7.4.1
獲取工作流 API 地址和 API_KEY ···················································.241
7.4.2 Laf 雲函數：事件轉發器 ·······························································.243
7.4.3
Gitee 倉庫：WebHooks 通信 ···························································.247
7.4.4 FastGPT 工作流：智能大腦 ···························································.249
驗證與測試 ·························································································.255
本章總結 ····························································································.258
