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| 編輯推薦： |
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本教程聚焦旅游高校教学，深度融合语言理解、内容生成、图像创作、语音交互等生成式人工智能前沿技术。全书共九章，从基础理论入手，循序渐进，阐述如何运用AIGC为旅游服务实现智能化、个性化与高效化。通过丰富案例与实践指导，助力旅游从业者更新知识结构，培养适应行业发展的新技能 。本教程可作为高等院校旅游专业的教学用书，也可作为旅游从业人员的业务参考书及培训用书。
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| 內容簡介： |
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本教材系统探讨生成式人工智能（AIGC）的技术原理、实践应用及社会影响，为读者提供从基础认知到行业落地的全景式指南。全书共八章，以理论结合案例的形式，深入解析生成式人工智能相关内容。本书既可作为高校人工智能、数字媒体专业的教材，亦为从业者提供从技术落地到风险防控的完整方法论，助力读者在AIGC浪潮中把握机遇、应对挑战。
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| 關於作者： |
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侯衍捍，理学硕士，毕业于山东师范大学教育技术学专业。现任山东旅游职业学院旅游信息系副主任，副教授，主要研究方向为旅游信息传播，主持或参与山东省软科学办公室研究课题、山东省人文社科年度项目研究课题等十余个项目的研究工作；发表论文多篇；获得实用性专利2项，软件著作权1项。
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| 目錄：
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第一章 认识生成式人工智能 ··························································· 1
第一节 什么是人工智能 ······························································ 2
第二节 大语言模型 ···································································· 4
第三节 生成式人工智能 ······························································ 8
第二章 提示词和提示工程 ·····························································20
第一节 提示
词 ·········································································22
第二节 提示工程 ······································································23
第三节 提示工程的基本策略 ·······················································26
第三章 文本生成和创意写作 ··························································42
第一节 根据应用场景写作 ··························································44
第二节 为文章指定语言风格 ·······················································50
第三节 实现长篇内容的写作 ·······················································56
第四章 AIGC 视觉内容创作 ···························································64
第一节 AIGC 海报创作 ······························································65
第二节 AIGC 视频创作 ······························································72
第五章 语音合成和音乐生成 ··························································85
第一节 语音合成基础知
识 ··························································87
第二节 语音合成和音乐生成在旅游行业的应用 ·······························91
1 人工智能应用基础
2
第三节 语音合成和音乐生成的常用工具 ········································94
第六章 数字人·············································································99
第一节 数字人基本知识 ··························································· 101
第二节 数字人相关技术 ··························································· 106
第三节 数字人在旅游行业的应用 ··············································· 112
第七章 AI 智能体 ······································································· 122
第一节 AI 智能体概述 ····························································· 125
第二节 AI 智能体的分类 ·························································· 129
第三节 AI 智能体的核心技术 ···················································· 134
第四节 AI 智能体在旅游行业的应用 ··········································· 141
第五节 AI 智能体在旅游行业的典型案例分析 ······························· 152
第六节 搭建简单的 AI 智能体——以山东旅游咨询助手为例 ············· 155
第七节 AI 智能体的挑战与未来 ················································· 163
第八章 人工智能的法律道德伦理问题 ············································ 170
第一节 引言 ·········································································· 172
第二节 法律视角 ···································································· 173
第三节 伦理与道德视角 ··························································· 175
第四节 案例分析 ···································································· 177
第九章 生成式人工智能的发展趋势 ··············································· 182
第一节 技术发展趋势 ······························································ 184
第二节 旅游行业应用趋势 ························································ 187
第三节 挑战与应对策略 ··························································· 193
第四节 未来展望与教育实践 ····················································· 198
附 录······················································································· 203
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