Become proficient in building AI applications with ChatGPT, DALL-E, and Whisper
Understand how to select the optimal ChatGPT model and fine-tune it for your specific use case
Monetize your applications by integrating the ChatGPT API with Stripe
Purchase of the print or Kindle book includes a free PDF eBook
Description
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.
What you will learn
Develop a solid foundation in using the ChatGPT API for natural language processing tasks
Build, deploy, and capitalize on a variety of desktop and SaaS AI applications
Seamlessly integrate ChatGPT with established frameworks such as Flask, Django, and Microsoft Office APIs
Channel your creativity by integrating DALL-E APIs to produce stunning AI-generated art within your desktop applications
Experience the power of Whisper API's speech recognition and text-to-speech features
Discover techniques to optimize ChatGPT models through the process of fine-tuning
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 However some of the code is out of date, for example, the model used by OpenAI.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.
Feefo Verified review
Anthony CoxJan 19, 2024
5
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!!!!
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.
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