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Building AI Applications with ChatGPT APIs

By Martin Yanev
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  1. Free Chapter
    Part 1:Getting Started with OpenAI APIs
About this book
Combining ChatGPT APIs with Python opens doors to building extraordinary AI applications. By leveraging these APIs, you can focus on the application logic and user experience, while ChatGPT’s robust NLP capabilities handle the intricacies of human-like text understanding and generation. This book is a guide for beginners to master the ChatGPT, Whisper, and DALL-E APIs by building ten innovative AI projects. These projects offer practical experience in integrating ChatGPT with frameworks and tools such as Flask, Django, Microsoft Office APIs, and PyQt. Throughout this book, you’ll get to grips with performing NLP tasks, building a ChatGPT clone, and creating an AI-driven code bug fixing SaaS application. You’ll also cover speech recognition, text-to-speech functionalities, language translation, and generation of email replies and PowerPoint presentations. This book teaches you how to fine-tune ChatGPT and generate AI art using DALL-E APIs, and then offers insights into selling your apps by integrating ChatGPT API with Stripe. With practical examples available on GitHub, the book gradually progresses from easy to advanced topics, cultivating the expertise required to develop, deploy, and monetize your own groundbreaking applications by harnessing the full potential of ChatGPT APIs.
Publication date:
September 2023
Publisher
Packt
Pages
258
ISBN
9781805127567

 

Part 1:Getting Started with OpenAI APIs

In the first part, encompassing two chapters, the focus is on providing a comprehensive overview of ChatGPT and its significance for natural language processing (NLP). We will discuss the fundamentals of ChatGPT, exploring its impact and usage in web applications, as well as introducing readers to the ChatGPT API. This part demonstrates the process of building a ChatGPT clone, which is a chatbot that utilizes OpenAI’s language model to generate human-like responses to user input. The application will be built using Flask, a lightweight web framework for Python.

This part has the following chapters:

  • Chapter 1, Beginning with the ChatGPT API for NLP Tasks
  • Chapter 2, Building a ChatGPT Clone
About the Author
  • Martin Yanev

    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.

    Browse publications by this author
Latest Reviews (3 reviews total)
The book is well written with clear instructions. However some of the code is out of date, for example, the model used by OpenAI. This has further implications for the functions called by the model so that considerable work is required to make the examples work. This is an unfortunate consequence of the rapid changes in this area. However, I noted that the code in the book's Github had not been changed during the past 7 months.
As an AI enthusiast I consume books on AI, ML Ops and much more. Building AI Applications with ChatGPT APIs is undoubtedly a cutting edge book. However there are some interesting improvements that can be made to improve this amazing book. Thank you for having such a catalog of some of the most important and innovative books!!!!
Building AI Applications with ChatGPT APIs
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