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)

Understanding Key Parameters and Their Impact on Generated Responses

In the previous chapter, we learned that the OpenAI API is not just one endpoint but also a collection of various endpoints. These endpoints are triggered with HTTP requests, which contain parameters in the corresponding request Body. For chat completions, the two required parameters are model and messages – and we’ve mainly seen how changing the messages parameter impacts the generated response. However, there is a vast collection of optional parameters that influence the behavior of the API, such as temperature, N, and the maximum number of tokens.

In this chapter, we will explore these optional key parameters and understand how they influence the generated response. Parameters are like the dials and knobs you’d find on a complex machine. By adjusting these dials and knobs, you can change the behavior of the machine to your liking. Similarly, in the realm of ChatGPT, parameters allow us to...