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

Product type Paperback

Published in Oct 2024

Publisher Packt

ISBN-13 9781835884003

Length 252 pages

Edition 2nd Edition

Languages

Python

Concepts

GPT/LLMs

Author (1):

Martin Yanev

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Table of Contents (19) Chapters

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

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ChatGPT API rate limits

Rate limits play a crucial role in maintaining the stability and fairness of the ChatGPT API. Restrictions are placed on the number of requests and tokens that a user or client can access within a specific time frame. OpenAI implements rate limits for several reasons:

Protection against abuse and misuse: Rate limits help safeguard the API from malicious actors who may attempt to overload the system by flooding it with excessive requests. By setting rate limits, OpenAI can mitigate such activities and maintain the quality of service for all users.
Ensuring fair access: By throttling the number of requests a single user or organization can make, rate limits ensure that everyone has an equal opportunity to utilize the API. This prevents a few users from monopolizing the resources and causing slowdowns for others.
Managing server load: With rate limits, OpenAI can effectively manage the overall load on its infrastructure. By controlling the rate...