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Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

By : Martin Yanev
4.4 (27)
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Building AI Applications with ChatGPT APIs

Building AI Applications with ChatGPT APIs

4.4 (27)
By: Martin Yanev

Overview of 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.
Table of Contents (19 chapters)
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1
Part 1:Getting Started with OpenAI APIs
4
Part 2: Building Web Applications with the ChatGPT API
8
Part 3: The ChatGPT, DALL-E, and Whisper APIs for Desktop Apps Development
14
Part 4:Advanced Concepts for Powering ChatGPT Apps

Building an Outlook Email Reply Generator

Email communication is an essential part of our personal and professional lives. However, crafting the perfect email response can be a time-consuming and challenging task. This is where artificial intelligence (AI) can come in handy. Using the ChatGPT API, you will learn how to generate automatic email replies that are both relevant and personalized to the sender’s message.

Many companies have already started using AI to generate email replies to save time and increase productivity. For example, Google’s Smart Reply feature uses machine learning algorithms to generate short, concise email responses that are contextually relevant to the message at hand. Similarly, we can use OpenAI’s most powerful natural language processing model, GPT-4, to generate more complex replies compared to GPT-3, helping us to develop personalized email replies.

In this chapter, you’ll learn how to build an Outlook email reply generator...

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