Python provides two ways to work around this issue: threading and multiprocessing. Each approach allows you to break a long-running job into parallel batches, which you can work on side-by-side.

This tutorial serves as a comprehensive guide for developers and researchers interested in creating an API for the Llama 2 language model, with multiprocessing support using Python.