Learn about Python metaclasses, how to define and use them, and explore examples to understand their functionality with this comprehensive tutorial.

Llama 2 API with multiprocessing The video tutorial below provides valuable insights into creating an API for the Llama 2 language model, with a focus on supporting multiprocessing with PyTorch.

TFDS is a collection of datasets ready to use with TensorFlow, Jax, ... - Use multiprocessing.Pool to parallelize `convert_example` · tensorflow/datasets@e2b37be ...

Multiprocessing enables the computer to utilize multiple cores of a CPU to run tasks/processes in parallel. This parallelization leads to significant speedup in tasks that involve a lot of computation ...

Python's "multiprocessing" module feels like threads, but actually launches processes. Many people, when they start to work with Python, are excited to hear that the language supports threading. And, ...

Three files are quick numeric examples of multiprocessing -- these were a proof of concept as I learned how to use the multiprocessing library 1. two with the direct creation of processes a.