A guide to parallel deep learning with Colossal-AI

Colossal-AI is a large-scale deep learning model designed to train data parallelly. It combines different standards of parallelization techniques such as pipeline parallelism, data parallelism, tensor parallelism, sequence parallelism. It allows developers to create models for parallel computing as they create models for normal computing. With the help of this tool, developers can concentrate more on deep learning model development and stress-free from the distributed training. In this article, we will understand the concepts of distributed and parallel learning and how these can be achieved in deep learning. The major points to be covered in this article are listed below.  Table of contents What is Distributed Training and Parallelism?Introduction to Colossal-AIThe motive behind Co