Book Image

OpenAI API Cookbook

By : Henry Habib
Book Image

OpenAI API Cookbook

By: Henry Habib

Overview of this book

As artificial intelligence continues to reshape industries with OpenAI at the forefront of AI research, knowing how to create innovative applications such as chatbots, virtual assistants, content generators, and productivity enhancers is a game-changer. This book takes a practical, recipe-based approach to unlocking the power of OpenAI API to build high-performance intelligent applications in diverse industries and seamlessly integrate ChatGPT in your workflows to increase productivity. You’ll begin with the OpenAI API fundamentals, covering setup, authentication, and key parameters, and quickly progress to the different elements of the OpenAI API. Once you’ve learned how to use it effectively and tweak parameters for better results, you’ll follow advanced recipes for enhancing user experience and refining outputs. The book guides your transition from development to live application deployment, setting up the API for public use and application backend. Further, you’ll discover step-by-step recipes for building knowledge-based assistants and multi-model applications tailored to your specific needs. By the end of this book, you’ll have worked through recipes involving various OpenAI API endpoints and built a variety of intelligent applications, ready to apply this experience to building AI-powered solutions of your own.
Table of Contents (10 chapters)

Controlling the number of generated responses using the n parameter

For certain intelligent applications that you build, you want multiple generated texts from the same prompt. For example, if we’re building an app that generates company slogans, you likely want to generate not just one but also multiple responses so that the user can select the best one. The n parameter controls how many chat completion choices to generate for each input message. It can also control the number of images that are generated when using the Images endpoint.

In this recipe, we will see how the n parameter affects the number of generated responses and understand the different use cases for it.

How to do it…

  1. In Postman, enter the following URL as the endpoint for chat completions:
  2. In the request body, type in the following and click Send. Note that we have added the n parameter and set it to the default value of 1 explicitly: