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Developing Apps with GPT-4 and ChatGPT: Build Intelligent Chatbots, Content Generators, and More 1st Edition
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This minibook is a comprehensive guide for Python developers who want to learn how to build applications with large language models. Authors Olivier Caelen and Marie-Alice Blete cover the main features and benefits of GPT-4 and ChatGPT and explain how they work. You'll also get a step-by-step guide for developing applications using the GPT-4 and ChatGPT Python library, including text generation, Q&A, and content summarization tools.
Written in clear and concise language, Developing Apps with GPT-4 and ChatGPT includes easy-to-follow examples to help you understand and apply the concepts to your projects. Python code examples are available in a GitHub repository, and the book includes a glossary of key terms. Ready to harness the power of large language models in your applications? This book is a must.
You'll learn:
- The fundamentals and benefits of ChatGPT and GPT-4 and how they work
- How to integrate these models into Python-based applications for NLP tasks
- How to develop applications using GPT-4 or ChatGPT APIs in Python for text generation, question answering, and content summarization, among other tasks
- Advanced GPT topics including prompt engineering, fine-tuning models for specific tasks, plug-ins, LangChain, and more
- ISBN-101098152484
- ISBN-13978-1098152482
- Edition1st
- PublisherO'Reilly Media
- Publication dateOctober 3, 2023
- LanguageEnglish
- Dimensions9 x 7 x 1 inches
- Print length155 pages
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From the Publisher
From the Preface
Within a mere five days of its release, ChatGPT reached an impressive one million users, sending shock waves throughout the tech industry and beyond. As a side effect, the OpenAI API for AI-powered text generation was suddenly brought to light, despite having been available for three years. The ChatGPT interface showcased the potential of such language models, and suddenly developers and inventors began to realize the incredible possibilities available at their fingertips.
The field of natural language processing has made incredible technical progress over the years, but until recently, use of the technology was limited to an elite few. The OpenAI API and its accompanying libraries provide a ready-to-use solution for anyone seeking to build AI-powered applications. There is no need to have powerful hardware or deep knowledge of artificial intelligence; with just a few lines of code, developers can integrate incredible features into their projects at a reasonable cost.
We combine our knowledge and experience, Olivier as a data scientist and Marie-Alice as a software engineer, to give you a broad understanding of how to develop applications with GPT-4 and ChatGPT. In these pages, you will find clear and detailed explanations of AI concepts, as well as user-friendly guidelines on how to integrate the OpenAI services effectively, securely, and cost-consciously.
This book is designed to be accessible to all, but some basic Python knowledge is preferred. Through clear explanations, example projects, and step-by-step instructions, we invite you to discover with us how GPT-4 and ChatGPT can transform the way we interact with machines.
Editorial Reviews
Review
"This book is short, but a better term might be "concise". All the relevant information is there. The explanations are clear, easy to follow, and get to the point quickly. [...] a good, short primer is both necessary and appropriate. Well done." - Ken Kousen, Java Champion, Trainer, Speaker, Author
"Blends theory and hands-on practice seamlessly, making the intricacies of GPT-4 and ChatGPT accessible" - Lucas Soares, ML Engineer at Biometrid
About the Author
Marie-Alice Blete currently works at Worldline's R&D department as a software architect and data engineer. She preaches engineering best practices to her fellow Data Scientists colleagues and is particularly interested in the performance and latency issues associated with the deployment of AI solutions. She is leading a program on AI-augmented developers.
Product details
- Publisher : O'Reilly Media; 1st edition (October 3, 2023)
- Language : English
- Paperback : 155 pages
- ISBN-10 : 1098152484
- ISBN-13 : 978-1098152482
- Item Weight : 9.6 ounces
- Dimensions : 9 x 7 x 1 inches
- Best Sellers Rank: #639,263 in Books (See Top 100 in Books)
- #245 in Natural Language Processing (Books)
- #787 in Software Development (Books)
- #1,231 in Artificial Intelligence & Semantics
- Customer Reviews:
About the authors
Marie-Alice Blete currently works at Worldline's R&D department as a software architect and data engineer. She preaches engineering best practices to her fellow Data Scientists colleagues and is particularly interested in the performance and latency issues associated with the deployment of AI solutions. She is leading a program on AI-augmented developers.
She is also a Developer Advocate and enjoys sharing her knowledge and engaging with the community as a tech speaker. You can find her on Linkedin linkedin.com/in/mblete or Twitter twitter.com/mariealice_b
Olivier Caelen holds two master's degrees (in Statistics and Computer Science) and obtained his Ph.D. from the Machine Learning Group of the Université Libre de Bruxelles under the supervision of Professor Gianluca Bontempi. During his thesis, he worked on optimal sequential selection algorithms in the context of the bandit problem. After his thesis, he spent 8 years at Worldline (a former Atos company). Five years in the credit card fraud detection team and three years in the R&D department. His research at Worldline focused on machine learning techniques for anomaly and fraud detection. From 2018 to 2021, he was the lead data scientist in Orange Belgium. At Orange Belgium, the projects he had to work on were mainly focused on topics related to the marketing team (e.g. churn detection, up-selling, cross-selling, and prospecting). In 2021, he was the Data Science Manager at Levi's Europe, in charge of all supply chain-related projects. Since 2022, he is back in the R&D department of Worldline.
Olivier Caelen also teaches, sharing his experience in two courses. A course on the basics of machine learning at the Université libre de Bruxelles and another at ECAM on deep learning techniques.
He is also a co-author of 42 publications in international peer-reviewed scientific journals/conferences and co-inventor of 6 patents.
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To calculate the overall star rating and percentage breakdown by star, we don’t use a simple average. Instead, our system considers things like how recent a review is and if the reviewer bought the item on Amazon. It also analyzed reviews to verify trustworthiness.
Learn more how customers reviews work on AmazonTop reviews from other countries
- David MackieReviewed in Canada on December 10, 2023
3.0 out of 5 stars Yikes! Another expensive pamphlete
Just received this book ... it's only 132 pages. I haven't even cracked it open (I hate when folks review books they haven't read. I will revise this review once I have). However, I'm completely shocked that this expensive book is so thin. The content looks promising, but it had better be golden to justify the high price.
David Mackie
Reviewed in Canada on December 10, 2023
Images in this review -
JOSE C C MARTINSReviewed in Brazil on September 24, 2023
4.0 out of 5 stars Conteúdo rico
O conteúdo é muito rico , mas parece acabar abruptamente, deixando faltar algo. Outros capítulos poderiam ser adicionados, para aprofundar mais outros do Lang Chain.
- sebastienReviewed in France on November 23, 2023
5.0 out of 5 stars Best book
This book is an excellent introduction for those new to the world of LLMs. It explains a complex subject in an easy-to-read format that is ideal for beginners. The book is rich in content, with practical Python examples that are invaluable for hands-on learning. While it's not designed for experts, it provides a comprehensive overview for beginners. A basic understanding of Python is necessary to fully appreciate the book, making it a perfect starting point for anyone wanting to explore the capabilities of GPT in Python applications.
sebastien
Reviewed in France on November 23, 2023
Images in this review - Mr. Philip J. YoungReviewed in the United Kingdom on October 22, 2023
2.0 out of 5 stars Useful book but ludicrously overpriced
This is a good book as far as it goes and the authors deserve credit for distilling a complicated topic into an easy to read format. When reading it, it helps to understand python.
That said, the book is very slight and the price is very high. Ordinarily O'Reilly books are good value for money. The best example of that are Learning Python and Programming Python by Mark Lutz which are both about a tree worth of paper for only £50. This book is not value for money. It should retail for circa £25 max. For that reason I can only award it two stars. If it retailed for a sensible price, it would deserve 4 stars.