ChatGPT Quick Mastery Handbook

Name: ChatGPT Quick Mastery Handbook
ISBN: 9787121457319

饶琛琳 / 王秋实Publishing House of Electronics Industry · ChinaJul 2023

3.5

Word count: 91K words
Chapters: 99
ISBN: 9787121457319

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Summary

The release of ChatGPT has been widely regarded in the industry as the iPhone moment for artificial general intelligence, marking the arrival of a new era in natural language processing. This book introduces general readers to ChatGPT step by step, covering its basic concepts and underlying principles, practical techniques for different scenarios, popular applications in the industry ecosystem, and a measured look ahead at the prospects of multimodal general AI. Finally, using two open-source projects—group chat and document Q&A—as examples, it demonstrates how to use the ChatGPT API, vector databases, and the LangChain toolset to build your own ChatGPT applications. The authors hope this book offers comprehensive guidance and reference for readers seeking a deeper understanding of ChatGPT's applications and potential, and inspires more people to try and explore ChatGPT.

Editor's review

This book is positioned as an introductory and hands-on guide to ChatGPT, moving from basic concepts and underlying principles to practical techniques for different scenarios and popular applications in the industry, with a measured look ahead at multimodal artificial general intelligence. The most substantial part is the final section: using two open-source projects, group chat and document Q&A, it demonstrates how to build your own application with the ChatGPT API, vector databases, and the LangChain toolkit, taking readers from "using it" to "building with it." For readers new to large language models, the opening chapters help establish a basic conceptual framework; for those with some development experience, the project examples offer a path they can reproduce hands-on. The book is compact, suitable as a reference to consult as needed, and also suited to reading through systematically in a short time to form an overall impression of the ChatGPT application ecosystem.

Who it's for

A good fit for

Readers new to ChatGPT who want a systematic understanding of its concepts and usage
Developers who want to build question-answering applications hands-on with APIs and LangChain
Product and operations people who need a quick overview of large language model application scenarios
Professionals who want to bring ChatGPT into their daily office work and knowledge-management workflows

Not a good fit for

Researchers seeking deep learning theory and model-training details
Complete beginners with no programming background who only want chat techniques
Professionals who need full coverage of cutting-edge multimodal research

Reading tips

Read the basic concepts and principles first to build a framework of terminology before moving on to the scenario and technique chapters.
When you reach the project examples, set up the environment alongside the official documentation and run the code as you read.
Compile the scenario techniques in the book into your own prompt list and try them one by one in daily tasks.
Use the book as a reference: look up chapters as specific needs arise rather than reading it cover to cover.

About the publisher

Publishing House of Electronics Industry China · Founded in 1982

The Publishing House of Electronics Industry is a comprehensive publisher distinguished by its focus on electronic information and related fields. Judging from the more than 3,000 titles in its catalogue, its publishing covers programming and design, artificial intelligence, computer science, finance and economics, photography, and social sciences, attending both to cutting-edge technology and to general readers. Representative titles include Factor Investing: Methods and Practice, x86 Assembly Language: From Real Mode to Protected Mode, The RISC-V Reader, Artificial Intelligence: Speech Recognition, Understanding and Practice, Phased Array Radar Technology, Radar Target Characteristics, and 100 Go Mistakes and How to Avoid Them, most of which centre on technical methods and engineering practice. Its authors include Shi Chuan, Li Zhong, Wang Xiaobo, David Patterson, Andrew Waterman, and Yu Zihao, among others from China and abroad. Owing to limited public information, no further publishing features are elaborated here.

版权信息
作者简介
内容简介
前言
第1章 ChatGPT的由来
1.1 ChatGPT的自我介绍
1.2 GPT训练数据集介绍
1.3 ChatGPT的极简理解
1.4 开源社区的进展
1.5 如何识别ChatGPT的真假
第2章 ChatGPT页面功能介绍
2.1 注册ChatGPT账户
2.2 开始提问
2.3 摘要及重命名
2.4 连续提问和重新生成的作用
2.4.1 连续提问
2.4.2 重新生成
2.5 赞和踩的作用
2.6 提前终止
2.7 字数限制
2.7.1 ChatGPT的字数限制是什么？
2.7.2 如何解决字数限制
2.8 服务状态页面
第3章 ChatGPT的法律风险
3.1 《互联网信息服务深度合成管理规定》
3.2 ChatGPT的法律过滤情况示例
3.3 如何识别来自ChatGPT的文本输出
第4章 ChatGPT避坑指南
4.1 中英文差距：宋词与十四行诗
4.1.1 《青玉案》词创作
4.1.2 十四行诗创作
4.2 不同相似度算法的分值介绍
4.3 生成正则表达式
第5章 ChatGPT场景案例
5.1 自然语言处理类示例
5.1.1 生成文本
5.1.2 提取概要
5.1.3 阅读理解出题
5.1.4 stable diffusion prompt生成
5.1.5 情感分类
5.1.6 词格分类
5.1.7 数据集模拟生成
5.1.8 生成复杂密码
5.1.9 多语言翻译
5.2 编程逻辑类示例
5.2.1 生成代码
5.2.2 解释代码
5.2.3 编程语言转换
5.2.4 数据结构转换
5.2.5 服务器体验沙箱
5.2.6 网页自动化工具
5.2.7 生成知识图谱
5.2.8 数据可视化
5.2.9 Leetcode
5.2.10 编写PRD需求说明书
5.2.11 stackoverflow排障
5.2.12 Excel高级函数助手
5.3 格式化处理类示例
5.3.1 文本和表格格式转换
5.3.2 markdown格式与emoji表情包
5.3.3 写微博并自动加话题标签
5.3.4 编写电子邮件
5.4 多轮对话类示例
5.4.1 安全漏洞排查咨询
5.4.2 云原生转型咨询
5.4.3 私房菜推荐
5.4.4 心理健康咨询
5.4.5 私人健身教练
5.4.6 旅游日程安排
5.4.7 游戏NPC对话
5.4.8 模拟流浪地球中的Moss
5.4.9 小说写作助手
第6章当前热门AI应用
6.1 notion AI笔记
6.2 Copilot编程助手
6.2.1 生成斐波那契数列求和函数
6.2.2 生成贪吃蛇游戏
6.3 Character.AI定制角色
6.4 AIPRM扩展
第7章 ChatGPT配合其他AI能力的应用
7.1 和Dall2配合生成故事绘本
7.2 解析Bing Chat逻辑
7.2.1 New Bing介绍
7.2.2 Edge Dev浏览器介绍
7.3 和D-ID配合生成数字人视频
7.4 BLIP2多模态聊天
7.4.1 PPT修改建议
7.4.2 竞争情报分析
7.5 图文生成视频
第8章 OpenAI API介绍
8.1 API开通和使用
8.1.1 OpenAI API费用
8.1.2 生成API KEY
8.1.3 常用API接口和参数说明
8.2 Hugging Face社区
8.3 LangChain开发框架
8.4 wechat-chatgpt开源项目示例
8.5 DocsGPT开源项目示例
参考文献

FAQ

Can I understand this book without a programming background?

The first half—concepts, principles, and scenario techniques—is friendly to non-technical readers and can be read on its own; the final project examples based on APIs, vector databases, and LangChain involve code and environment setup, which will be difficult without a programming background. You can skip them for now or read only the conceptual parts.

What background do the project examples require?

You need to be able to read basic code and configure a development environment; familiarity with API calls and basic database concepts will make things smoother. The examples center on group chat and document question-answering, and readers can build them step by step following the book.

Will this book become outdated quickly?

Tools and interfaces update quickly, and specific operational details may change over time, but the book's foundational content on concepts, approaches to scenario use, and the framework for building applications with APIs and vector databases retains reference value. It is best read alongside the latest official documentation.

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About the author

饶琛琳 Author

Public information about Rao Chenlin is currently limited. The only known work by this author is the ChatGPT Quick-Start Handbook, a title commonly classified under artificial intelligence. Based on the available information, the author focuses on introductory and practical aspects of generative AI tools, writing for general readers who wish to quickly understand and start using ChatGPT. The approach tends toward concise, direct operational guidance rather than in-depth theoretical exposition. Since only this one work is included in the database and there is no information about the author's educational background, professional experience, or broader body of work, it is difficult to assess the full range of the author's writing style or long-term influence. A more complete understanding of this author would require further public information and the publication of additional works.

王秋实 Author

Wang Qiushi is an author with limited publicly available information. Three works can currently be confirmed, covering medicine, management and business, and artificial intelligence—a notably wide range. Clinical Blood Transfusion Case Selections (2nd Edition) belongs to the clinical medical field and likely centers on specific cases in transfusion practice; Empathic Management points toward management and business philosophy, and judging by its title may focus on the role of empathy and feeling in business operations; the ChatGPT Quick-Start Guide is aimed at the practical use of AI tools and reads as a hands-on guide. Spanning different fields, these three works suggest that the author moves between professional writing and general-audience popularization, preferring forms such as case studies and tutorials that stay close to readers. Based on the available material, the writing style tends to be pragmatic and application-oriented, but no public information is available on the author's education, professional background, or writing career, so readers should be cautious about drawing conclusions beyond the works themselves.