《ChatGPT原理与应用开发》内容简介：
随着ChatGPT的出现，大语言模型的能力得到了业内外的认可，新的商业模式不断涌现，旧的设计和实现都将重构。本书主要介绍基于ChatGPT开发算法相关的应用或服务，侧重于介绍与自然语言处理相关的常见任务和应用，以及如何使用类似ChatGPT的大语言模型服务来实现以前只有算法工程师才能完成的工作。
全书共8章内容，第1章介绍与ChatGPT相关的基础知识，第2～5章分别介绍相似匹配、句词分类、文本生成和复杂推理方面的任务，第6～8章分别介绍ChatGPT的工程实践、局限与不足，以及商业应用，以帮助读者更好地构建自己的应用。
本书以实践为主，尤其注重任务的讲解和设计，但同时也对自然语言处理相关算法的基本原理和基础知识进行科普性介绍，适合所有对大语言模型感兴趣的开发者阅读。
作者简介
郝少春
某AI大语言模型公司的算法工程师，开源组织Datawhale成员；拥有7年算法和工程架构经验及丰富的项目和产品经历，涉及文本、音频、视频、图像等多种模态。
黄玉琳
上海财经大学硕士，京东算法工程师，开源组织Datawhale成员；从事智能供应链领域的算法研究及应用工作；主要研究方向为机器学习、自然语言处理、运筹优化。
易华挥
四川大学华西医院生物大数据中心的科研助理，开源组织Datawhale成员；主要研究方向为多模态表征学习及其在医学影像分析中的应用；发表顶会论文3篇。
Introduction of ChatGPT Principle and Application Development:
With the advent of ChatGPT, the power of large language models is recognized both inside and outside the industry, new business models are emerging, and old designs and implementations are being restructured. This book is an introduction to applications or services related to developing algorithms based on ChatGPT, focusing on common tasks and applications related to natural language processing, and how to use ChatGPt-like large language model services to achieve work previously only done by algorithm engineers.
The book consists of eight chapters, Chapter 1 introduces the basic knowledge related to ChatGPT, chapters 2 to 5 introduce similar matching, sentence classification, text generation and complex reasoning tasks, and chapters 6 to 8 introduce the engineering practice, limitations and shortcomings of ChatGPT, as well as commercial applications to help readers better build their own applications.
This book is practical, with a particular focus on task explanation and design, but it also provides a general introduction to the fundamentals and fundamentals of natural language processing algorithms and is suitable for all developers interested in large language models.
About the author
Hao Shaochun
Algorithm engineer at an AI large language modeling company, member of the open source organization Datawhale; He has 7 years of experience in algorithm and engineering architecture and rich project and product experience, involving text, audio, video, image and other modes.
Huang Yulin
Master degree from Shanghai University of Finance and Economics, JD algorithm engineer, member of open source organization Datawhale; Engaged in intelligent supply chain algorithm research and application work; His research interests include machine learning, natural language processing, and operational optimization.
Yi Huahui
Research Assistant of Biobig Data Center, West China Hospital, Sichuan University, member of the open source organization Datawhale; His research interests include multimodal representation learning and its application in medical image analysis. Published the top three papers.
