You will need to have a basic understanding of Python development. General experience in using Generative AI models is also recommended. All the examples provided in the book have been specifically designed to run in a local Python environment, and because several libraries will be required along the way, it is recommended that you have a minimum of 20 GB of storage space available on your computer.

Because most of the examples presented in the book rely on the OpenAI API, you’ll also need to obtain an OpenAI API key.

If you are using the digital version of this book, we advise you to type the code yourself or access the code from the book’s GitHub repository (a link is available in the next section). Doing so will help you avoid any potential errors related to the copying and pasting of code.

As many of the code examples rely on the OpenAI API, keep in mind that running them will incur costs. Everything has been optimized for minimum cost but neither the author nor the publisher are responsible for these costs. You should also be advised of the security implications when using a public API such as the one provided by OpenAI. If you choose to use your own proprietary data to experiment with different examples, make sure you consult OpenAI’s privacy policy in advance.