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Building AI Applications with ChatGPT APIs

You're reading from  Building AI Applications with ChatGPT APIs

Product type Book
Published in Sep 2023
Publisher Packt
ISBN-13 9781805127567
Pages 258 pages
Edition 1st Edition
Languages
Concepts
Author (1):
Martin Yanev Martin Yanev
Profile icon Martin Yanev
LinkedIn
Martin Yanev is an experienced Software Engineer who has worked in the aerospace and industries for over 8 years. He specializes in developing and integrating software solutions for air traffic control and chromatography systems. Martin is a well-respected instructor with over 280,000 students worldwide, and he is skilled in using frameworks like Flask, Django, Pytest, and TensorFlow. He is an expert in building, training, and fine-tuning AI systems with the full range of OpenAI APIs. Martin has dual master's degrees in Aerospace Systems and Software Engineering, which demonstrates his commitment to both practical and theoretical aspects of the industry.
See other products by Martin Yanev

Table of Contents (19) Chapters

Preface 1. Part 1:Getting Started with OpenAI APIs
2. Chapter 1: Beginning with the ChatGPT API for NLP Tasks 3. Chapter 2: Building a ChatGPT Clone 4. Part 2: Building Web Applications with the ChatGPT API
5. Chapter 3: Creating and Deploying an AI Code Bug Fixing SaaS Application Using Flask 6. Chapter 4: Integrating the Code Bug Fixer Application with a Payment Service 7. Chapter 5: Quiz Generation App with ChatGPT and Django 8. Part 3: The ChatGPT, DALL-E, and Whisper APIs for Desktop Apps Development
9. Chapter 6: Language Translation Desktop App with the ChatGPT API and Microsoft Word 10. Chapter 7: Building an Outlook Email Reply Generator 11. Chapter 8: Essay Generation Tool with PyQt and the ChatGPT API 12. Chapter 9: Integrating ChatGPT and DALL-E API: Build End-to-End PowerPoint Presentation Generator 13. Chapter 10: Speech Recognition and Text-to-Speech with the Whisper API 14. Part 4:Advanced Concepts for Powering ChatGPT Apps
15. Chapter 11: Choosing the Right ChatGPT API Model 16. Chapter 12: Fine-Tuning ChatGPT to Create Unique API Models 17. Index 18. Other Books You May Enjoy

To get the most out of this book

Before embarking on this book, it is important for you to have a fundamental understanding of Python programming and API concepts. Additionally, familiarity with the basics of frontend and backend technologies used in application development is highly recommended. This prerequisite knowledge will enhance your comprehension and enable you to fully grasp the concepts and examples presented throughout the book.

Software/hardware covered in the book

Operating system requirements

Python

Windows, macOS, or Linux

Django

Windows, macOS, or Linux

Flask

Windows, macOS, or Linux

PyQt

Windows, macOS, or Linux

OpenAI library

Windows, macOS, or Linux

Stripe

Windows, macOS, or Linux

Azure CLI

Windows, macOS, or Linux

Rest assured, this book provides comprehensive coverage of all the necessary installations, including Python and the PyCharm IDE. You will find step-by-step instructions and detailed explanations within the book to guide you through the installation process. By following the instructions provided, you will be able to set up your Python environment and PyCharm IDE with ease, ensuring a smooth journey through the book’s content.

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

I highly encourage you to actively engage with the applications being built in this book by experimenting with variable changes and observing the resulting impact on the app. This hands-on approach will provide a deeper understanding of how different variables affect the application’s behavior. Furthermore, I urge you to leverage the knowledge gained from the book to embark on your own application-building journey. By using the applications from the book as a foundation, you can apply your newfound skills and creativity to develop your own unique applications, fostering a deeper mastery of the concepts covered.

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Authors (1)

Profile icon Martin Yanev
LinkedIn
Martin Yanev is an experienced Software Engineer who has worked in the aerospace and industries for over 8 years. He specializes in developing and integrating software solutions for air traffic control and chromatography systems. Martin is a well-respected instructor with over 280,000 students worldwide, and he is skilled in using frameworks like Flask, Django, Pytest, and TensorFlow. He is an expert in building, training, and fine-tuning AI systems with the full range of OpenAI APIs. Martin has dual master's degrees in Aerospace Systems and Software Engineering, which demonstrates his commitment to both practical and theoretical aspects of the industry.
Read more
See other products by Martin Yanev

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