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.

The multiprocessing module spins up multiple copies of the Python interpreter, each on a separate core, and provides primitives for splitting tasks across cores. But sometimes even the ...

This Python and Llama 2 guide offers more insight. Skip to main content; ... Code a Llama 2 API with multiprocessing support using Python. 7:39 am August 15, 2023 By Julian Horsey.