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)

Incorporating Additional Features from the OpenAI API

The OpenAI API offers additional features beyond the standard endpoints and parameters that we learned about in the previous chapter. These provide additional customizability to the existing model and enable far more use cases by linking the model to other methods.

In particular, the OpenAI API contains a robust embedding model, enabling users to vectorize text to perform typical NLP functions such as text clustering, text classification, text comparison, and more. This is the same technology that search engines such as Google use, for example, to return relevant search results. Now, with the OpenAI API, it is available at your fingertips.

The API also contains a method to fine-tune or customize a model for a particular use case. Instead of the fine-tuning we did earlier, which required priming the model with several examples, this is a better and typically cheaper alternative.

Finally, the API also possesses the ability...