人工智能應用技術基礎教程

付祥

  • 出版商: 電子工業
  • 出版日期: 2026-02-01
  • 售價: $294
  • 語言: 簡體中文
  • 頁數: 208
  • ISBN: 7121522438
  • ISBN-13: 9787121522437
  • 相關分類: AI Coding
  • 下單後立即進貨 (約4週~6週)

商品描述

本書分10章,第1~2章構建人工智能技術原理與生成式人工智能發展脈絡的知識底座和倫理守護能力;第3~8章聚焦七大工作場景展開AIGC實踐,涵蓋文本生成、思維導圖、數據統計、演示文稿、跨媒介創作(AI繪畫、視頻、音頻、數字人)、人工智能輔助編程等模塊化任務,每章均配備了真實的產業案例與操作指引,第9章介紹人工智能的未來趨勢,第10章特別設計了本地部署AIGC大模型的進階內容,培養學生技術自主可控意識與私有化部署能力。本書主要面向職業教育非計算機專業的學生,既可以作為人工智能通識課程的教學用書,也可以作為廣大人工智能技術使用愛好者的入門參考書。

目錄大綱

第 1 章 人工智能技術 ···················································································.1
1.1 人工智能技術概述 ··············································································.1
1.2 人工智能的發展歷程 ···········································································.4
1.3 人工智能核心技術原理 ········································································.8
1.3.1 機器學習 ···················································································.8
1.3.2 深度學習 ·················································································.10
1.3.3 技術局限性 ··············································································.11
1.4 人工智能技術的應用場景 ···································································.12
1.5 人工智能技術的發展趨勢 ···································································.14
課後習題 ·······························································································.17
第 2 章 生成式人工智能技術 ·········································································.19
2.1 生成式人工智能技術的發展和歷史 ·······················································.19
2.1.1 生成式人工智能的起源與發展脈絡 ················································.19
2.1.2 生成式人工智能的關鍵技術 ·························································.20
2.1.3 生成式人工智能的應用領域 ·························································.21
2.1.4 生成式人工智能面臨的挑戰與展望 ················································.22
2.2 國內主流 AIGC 平臺 ·········································································.22
2.2.1 AI 搜索領域 ·············································································.23
2.2.2 聊天對話領域 ···········································································.25
2.2.3 長文本處理領域 ········································································.26
2.2.4 演示文稿生成領域 ·····································································.27
2.2.5 圖片生成領域 ···········································································.29 2
.2.6 音樂生成領域 ···········································································.31
2.2.7 視頻生成領域 ···········································································.33
2.2.8 數字人生成領域 ········································································.35
2.2.9 思維導圖生成領域 ·····································································.37
2.2.10 AI 輔助編程領域 ······································································.39
2.3 生成式人工智能真偽辨析 ···································································.40
2.3.1 時效問題 ·················································································.41
2.3.2 真實性問題 ··············································································.42
2.3.3 邏輯陷阱問題 ···········································································.44
2.4 我國的人工智能生成內容標識管理辦法 ·················································.45
課後習題 ·······························································································.46
第 3 章 文字工作 AIGC 創作 ········································································.48
3.1 大語言模型和文本生成 ······································································.48
3.1.1 大語言模型的定義與架構 ····························································.49
3.1.2 文本生成的內容類型 ··································································.49
3.1.3 文本生成的機制與過程 ·······························································.49
3.1.4 文本生成的質量與挑戰 ·······························································.50
3.2 高效對話和交流(AI 提示詞) ····························································.50
3.2.1 提示詞的定義與作用 ··································································.51
3.2.2 提示詞的類型與設計 ··································································.51
3.2.3 提示詞的設計原則 ·····································································.52
3.2.4 提示詞公式 ··············································································.52
3.2.5 通用提示詞參考 ········································································.59
3.2.6 提示詞的優化與改進 ··································································.59
3.3 AIGC 文本生成實踐 ··········································································.60
3.3.1 定式任務一 中篇小說的創作 ······················································.60
3.3.2 定式任務二 學術論文的創作 ······················································.65
3.3.3 人設任務 ·················································································.74
課後習題 ·······························································································.74
第 4 章 思維導圖 AIGC 創作 ········································································.77
4.1 創新思維與思維導圖 ·········································································.77
4.2 邏輯思維與表達 ···············································································.78
4.3 人機協作思維 ··················································································.79
4.4 AIGC 思維導圖生成實踐 ····································································.80
4.4.1 定式任務一 電子書閱讀的思維導圖創作 ·······································.80
4.4.2 定式任務二 課程知識點的圖譜創作 ·············································.83
課後習題 ·······························································································.86
第 5 章 數據統計工作 AIGC 創作 ··································································.88
5.1 數據分析與 AIGC ·············································································.88
5.2 AIGC 統計和分析數據實踐 ·································································.89
5.2.1 定式任務一 數據集分析及統計圖創作 ··········································.89
5.2.2 定式任務二 數據收集和數據可視化創作 ·······································.96
課後習題 ·······························································································.98
第 6 章 演示文稿 AIGC 創作 ······································································.101
6.1 演示文稿與表達 ··············································································.101
6.2 AIGC 生成演示文稿實踐 ···································································.104
6.2.1 定式任務一 工作匯報 PPT 創作 ·················································.104
6.2.2 定式任務二 專業課程相關 PPT 創作 ···········································.109
課後習題 ······························································································.112
第 7 章 融媒體 AIGC 創作 ···········································································114
7.1 AI 繪畫簡介 ···················································································.114
7.2 AI 繪畫作品賞析 ·············································································.115
7.3 AI 生成圖片實踐 ·············································································.117
7.3.1 定式任務一 微信頭像創作 ························································.117
7.3.2 定式任務二 大幅寫真創作 ························································.122
7.3.3 定式任務三 靈感圖像創作 ························································.125
7.3.4 人設任務 ················································································.127
7.4 AI 生成視頻簡介 ·············································································.131
7.5 AI 生成視頻實踐 ·············································································.131
7.5.1 定式任務一 文生視頻創作 ························································.131
7.5.2 定式任務二 圖生視頻創作 ························································.133
7.6 AI 生成音頻簡介 ·············································································.136
7.7 AI 生成音頻實踐 ·············································································.136
7.8 AI 生成數字人簡介 ··········································································.138
7.9 AI 生成數字人實踐 ··········································································.139
課後習題 ······························································································.141
第 8 章 人工智能輔助編程 ··········································································.144
8.1 人工智能輔助編程簡介 ·····································································.144
8.2 編程作品賞析 ·················································································.145
8.3 AI 生成程序代碼實踐 ·······································································.146
8.3.1 定式任務一 HTML 程序開發 ·····················································.146
8.3.2 定式任務二 貪吃蛇遊戲開發 ·····················································.147
8.3.3 定式任務三 數學函數圖像生成軟件開發 ······································.159
8.3.4 人設任務 ················································································.164
課後習題 ······························································································.165
第 9 章 人工智能的未來趨勢 ·······································································.167
9.1 AIGC 帶來的工作方式變革 ································································.167
9.2 超級個體和個人工作室 ·····································································.168
9.3 用 AI 和天賦成為超級個體 ································································.170
9.3.1 成為超級個體的基礎 ·································································.170
9.3.2 商業成長途徑 ··········································································.174
9.3.3 回歸品牌和個人 IP ····································································.176
課後習題 ······························································································.177
第 10 章 本地部署 AIGC 大模型 ·································································.179
10.1 Ollama 是什麼 ···············································································.179
10.2 Cherry Studio 是什麼 ·······································································.180
10.3 基礎軟硬件需求 ············································································.180
10.4 操作實踐:本地部署大語言模型和應用 ··············································.181
課後習題 ······························································································.186
參考文獻 ···································································································.188
附錄 ·········································································································.190
附錄 A 國產大模型 DeepSeek-R1 各版本解釋 ·············································.190
附錄 B 課程相關平臺和軟件資源清單——PC 篇 ·········································.193
附錄 C 人工智能生成合成內容標識辦法 ····················································.194
附錄 D 教材授課學員參考人設清單 ··························································.196