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Building AI Applications with OpenAI APIs

You're reading from   Building AI Applications with OpenAI APIs Leverage ChatGPT, Whisper, and DALL-E APIs to build 10 innovative AI projects

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Product type Paperback
Published in Oct 2024
Publisher Packt
ISBN-13 9781835884003
Length 252 pages
Edition 2nd Edition
Languages
Concepts
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Author (1):
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Martin Yanev Martin Yanev
Author Profile Icon Martin Yanev
Martin Yanev
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Table of Contents (19) Chapters Close

Preface 1. Part 1:Getting Started with OpenAI APIs FREE CHAPTER
2. Chapter 1: Getting Started with the ChatGPT API for NLP Tasks 3. Chapter 2: Building a ChatGPT Clone 4. Part 2: Build Web Applications with ChatGPT API
5. Chapter 3: Creating and Deploying a Code Bug-Fixing Application Using Flask 6. Chapter 4: Integrating the Code Bug-Fixing Application with a Payment Service 7. Chapter 5: Quiz Generation App with ChatGPT and Django 8. Part 3: 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 the ChatGPT and DALL-E APIs: Building an 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

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 (NLP) model, GPT-4, to generate more complex replies compared to GPT-3, helping us develop personalized email replies.

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

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