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)

Creating a multi-modal application that generates travel itineraries

In the previous recipe, we successfully created an intelligent application that produced replies to emails. We also discussed how this is technically a wrapper application, something that could be easily done through ChatGPT or the Playground itself.

In this recipe, we will take the next step and create a multi-modal application. A multi-modal application is an advanced type of software that integrates various forms of media and interaction methods into a single cohesive experience. This integration allows for a richer and more engaging user interface, one that can cater to a wider range of user preferences and needs.

The core idea behind a multi-modal application is to combine text, voice, images, and possibly even video, to create a more dynamic and interactive environment. For instance, consider an application that not only responds to text queries but also understands voice commands, can analyze images,...