Developing Apps with GPT-4 and ChatGPT: Build Intelligent Chatbots, Content Generators, and More
This book is a guide for Python developers who want to learn how to build applications with large language models. The book covers the basics of GPT-4 and ChatGPT, how they work, and their main features and benefits. It also provides a step-by-step guide for developing applications using the GPT-4 and ChatGPT APIs. This includes text generation, Q&A, and content summarization tools. The book is written in clear and concise language, with easy-to-follow examples that help readers understand and apply the concepts to their projects. All Python code examples are available in a GitHub repository. In addition, a glossary includes key terms related to large language models to help readers less familiar with the field better understand the book's content. Python developers who want to quickly harness the power of large language models in their applications won't want to miss this must-read book.
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Developing Apps with GPT-4 and ChatGPT: Build Intelligent Chatbots, Content Generators, and More
This book is a guide for Python developers who want to learn how to build applications with large language models. The book covers the basics of GPT-4 and ChatGPT, how they work, and their main features and benefits. It also provides a step-by-step guide for developing applications using the GPT-4 and ChatGPT APIs. This includes text generation, Q&A, and content summarization tools. The book is written in clear and concise language, with easy-to-follow examples that help readers understand and apply the concepts to their projects. All Python code examples are available in a GitHub repository. In addition, a glossary includes key terms related to large language models to help readers less familiar with the field better understand the book's content. Python developers who want to quickly harness the power of large language models in their applications won't want to miss this must-read book.
59.99 In Stock
Developing Apps with GPT-4 and ChatGPT: Build Intelligent Chatbots, Content Generators, and More

Developing Apps with GPT-4 and ChatGPT: Build Intelligent Chatbots, Content Generators, and More

Developing Apps with GPT-4 and ChatGPT: Build Intelligent Chatbots, Content Generators, and More

Developing Apps with GPT-4 and ChatGPT: Build Intelligent Chatbots, Content Generators, and More

Paperback(2nd ed.)

$59.99 
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Overview

This book is a guide for Python developers who want to learn how to build applications with large language models. The book covers the basics of GPT-4 and ChatGPT, how they work, and their main features and benefits. It also provides a step-by-step guide for developing applications using the GPT-4 and ChatGPT APIs. This includes text generation, Q&A, and content summarization tools. The book is written in clear and concise language, with easy-to-follow examples that help readers understand and apply the concepts to their projects. All Python code examples are available in a GitHub repository. In addition, a glossary includes key terms related to large language models to help readers less familiar with the field better understand the book's content. Python developers who want to quickly harness the power of large language models in their applications won't want to miss this must-read book.

Product Details

ISBN-13: 9781098168100
Publisher: O'Reilly Media, Incorporated
Publication date: 08/20/2024
Edition description: 2nd ed.
Pages: 250
Product dimensions: 7.00(w) x 9.19(h) x (d)

About the Author

Olivier Caelen is a machine learning researcher at Worldline, a paytech pioneer for seamless payment solutions. He also teaches an introductory ML course and an advanced DL course at the university (Universityé libre de Bruxelles). He holds two master's degrees (in statistics and computer science) and a Ph.D. in machine learning. Olivier Caelen is co-author of 45 publications in international peer-reviewed scientific journals/conferences and co-inventor of 6 patents.

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 also a developer advocate and enjoys sharing her knowledge and engaging with the community as a tech speaker.
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