|
关于我们
 新书资讯 新书推荐 |
AI认知与应用通识教程 
定 价：69.8 元
9 7 5 8 3 7 4 1 6 2 6 1 9 读者对象:普通学习者、职业院校学生和职场人士 
本书通过生活化类比、场景化任务和图示化解释，系统讲解人工智能与大模型的基本原理、能力边界、安全风险、提示词设计、RAG与知识库、个人知识管理以及Agent与OpenClaw应用实践。全书沿着“看懂 AI—说清任务一让AI有据可査一让AI真正做事”的路径展开，帮助读者构建清醒、实用、可迁移的AI素养，掌握与 AI高效协作的方法，最终将AI从“聊天工具”转化为辅助学习、工作和创新的智能伙伴。
薛东升，清华大学软件工程专业硕士，中国电子科技集团高级工程师，现任360数智化集团高级解决方案专家、人工智能行业研究专家。深耕信息技术行业26年，兼具技术研发、系统集成与政府项目实战经验。长期关注人工智能在应急、广电、农业等行业的落地应用，擅长将复杂技术转化为通识性知识。具备跨领域资源整合能力，致力于推动AI技术在大政务、社会治理等场景中的普及与推广。熟悉AI在行业中的可行性与边界，善于从用户、政策、技术三重视角梳理人工智能应用路径，擅长通过贴近实际、通俗易懂的语言讲解AI通识类技术。
第一篇 AI认知与大模型基础
第1章 人工智能通识：从“神秘”到“日常” …………………………………………002 1.1 你已经在用AI了——生活中无处不在的人工智能 ···········································002 1.2 到底什么是人工智能？——理解AI的三个角度 ··············································004 1.3 AI的“能力范围”——专用与通用 ·······························································006 1.4 AI技术体系——主要分支速览 ······································································007 第2章 大模型基础：从“识字”到“懂意” …………………………………………014 2.1 大模型如何“读”你的话——从文字到数字 ···················································014 2.2 大模型如何“抓重点”——注意力机制与上下文 ··················································019 2.3 大模型的“记忆”——它记得什么、忘了什么 ················································020 2.4 大模型是怎么“炼成”的——训练的三个阶段 ················································023 2.5 主流大模型一览——它们有什么不同 ·····························································025 第3章 大模型能力：从“听懂”到“创造” …………………………………………029 3.1 模型的“五官”：多模态 ·············································································029 3.2 核心解剖：大模型的五大“超能力” ·····························································032 3.3 定制你的专属模型：微调与RAG ··································································035 3.4 能力边界与安全考量：不要神化AI ·······························································038 第4章 大模型安全：从“幻觉”到“防护” …………………………………………040 4.1 幻觉：当模型“自信地胡说” ·······································································040 4.2 攻击方式：坏人如何“忽悠”模型 ································································045 4.3 防护手段：给模型穿上“防弹衣” ································································049 4.4 AI伦理简论：技术背后的价值选择 ·······························································054 第二篇 提示词设计与高效表达 第5 章 提示词工程基础：从“问对问题”开始 ……………………………………… 059 5.1 为什么提示词决定答案质量 ·········································································.059 5.2 基础技巧：让AI“听懂你” ········································································.064 5.3 Markdown 基础：提示词的“颜值即正义” ··················································.068 5.4 实战：从“糟糕提示词”到“优秀提示词” ··················································.073 5.5 评估与迭代：如何知道提示词“好”了 ·························································.078 第6 章 结构化提示词：用结构化语言为AI“编程” ………………………………… 082 6.1 结构化提示词的优势与用处 ·········································································.082 6.2 JSON 基础：AI 时代的“通用语” ·······························································.085 6.3 XML 基础：另一种结构化选择 ····································································.088 6.4 实战：结构化提示词应用场景 ······································································.091 6.5 解析与验证AI 返回的结构化结果·································································.094 6.6 结构化提示词的局限与未来 ·········································································.096 第7 章 提示词思维方法论：从“技巧应用”到“思维升级” ……………………… 100 7.1 为什么需要思维方法论 ················································································.100 7.2 SCQA 框架：讲好一个“故事” ···································································.102 7.3 5W1H 框架：覆盖所有维度 ·········································································.106 7.4 实战：设计高阶提示词模板 ·········································································.109 7.5 综合应用：构建你的提示词设计体系 ······························································111 7.6 未来：提示词即思维训练 ············································································.114 第三篇 知识管理与RAG 应用 第8 章 RAG 技术：让大模型“有据可查” …………………………………………… 117 8.1 RAG 是什么 ·······························································································.117 8.2 RAG 背后的关键技术 ·················································································.122 第9 章 个人知识库构建：打造你的“第二大脑” …………………………………… 127 9.1 为什么需要构建个人知识库 ·········································································.127 9.2 知识库构建的四阶段 ····················································································130 9.3 知识库×AI：从“存储”到“智能” ····························································136 9.4 长期维护：让知识库“越长越聪明” ·····························································138 第四篇 Agent设计与OpenClaw基础 第10章 认识Agent：能力、价值与局限 ………………………………………………141 10.1 前Agent时代：从搜索引擎到ChatGPT ······················································141 10.2 什么是Agent？——不只是聊天机器人 ·······················································143 10.3 多Agent协作：从“单打独斗”到“分工协作” ··········································145 10.4 Agent的局限与风险 ··················································································148 第11章 Agent如何想与记 ………………………………………………………………153 11.1 Agent的思维链 ·························································································153 11.2 ReAct模式：边想边做边观察 ·····································································154 11.3 规划：把大任务拆成小步骤 ········································································157 11.4 记忆：Agent的“经验库” ········································································158 第12章 Agent如何调用工具 ……………………………………………………………162 12.1 Agent的“工具箱” ··················································································162 12.2 工具调用中的常见概念解释 ········································································165 12.3 工具调用流程：以“智能生活助手”为例 ·····················································167 第13章 Agent项目开发：从需求到测试的完整旅程 …………………………………174 13.1 项目启动：从“一个好想法”开始 ······························································174 13.2 设计阶段：画出智能体的“蓝图” ······························································177 13.3 实现阶段：让Agent“活”起来 ··································································179 13.4 测试阶段：确保Agent“不闯祸” ·······························································184 13.5 项目总结与展示 ·························································································188 第14章 OpenClaw：Agent的“协作与创造”新范式………………………………191 14.1 Agent协作体系的运行框架与OpenClaw技术基础 ········································191 14.2 OpenClaw部署与应用基础 ·········································································194 14.3 OpenClaw核心功能拆解 ·············································································195 14.4 OpenClaw 的企业级落地优化 ·····································································.200 第15 章 总结与展望：AI 的过去、现在与未来 ………………………………………… 204 15.1 全书知识体系回顾 ····················································································.204 15.2 核心概念梳理：一张表看懂AI ···································································.205 15.3 AI 未来展望：技术趋势与行业变革 ····························································.207 15.4 结语：AI 时代，你的位置在哪里 ································································.208 附录A 使用OpenClaw 制作PPT 实例 ……………………………………………… 210 A.1 PPT 生成相关技能安装及内置原生工具介绍 ·············································210 A.2 PPT 生成实例 ···························································································.212 A.3 使用OpenClaw 生成PPT 的内在实现机制分析 ·············································.214 小结 ·················································································································.215 附录 B O penClaw官方资源导航（截至2026年7月） …………………………………216 B.1 官方网站 ···································································································.216 B.2 官方开发资源 ····························································································.216 B.3 官方技能生态 ····························································································.217 B.4 官方推荐开发工具······················································································.217 B.5 学习建议 ···································································································.217 B.6 使用建议 ···································································································.218 附录C 非技术人员的AI 学习指南 ……………………………………………………… 219 附录D 国内AI 工具访问地址汇总 ……………………………………………………… 222 参考文献……………………………………………………………………………………… 224
你还可能感兴趣
我要评论
|
