To get the most out of this book

All the code presented in this book is in the form of a Jupyter notebook. All the code was developed with Python 3.10.X and is expected to work on later versions as well.

Software/hardware covered in the book	Operating system requirements
Access to a Python environment via one of the following: Accessing Google Colab, which is free and easy from any browser on any device (recommended) A local/cloud development environment of Python with the ability to install public packages and access OpenAI’s API	Windows, macOS, or Linux
Sufficient computation resources, as follows: The previously recommended free access to Google Colab includes a free GPU instance If opting to avoid Google Colab, the local/cloud environment should have a GPU for several code examples

As the code examples in this book have a diversified set of use cases, for some of the advanced LLM solutions, you will need an OpenAI account, which will allow an 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.