Abstract: The advent of a large language model (LLM) has revolutionized various domains and services. The inference pipeline system is emerging as an efficient mechanism to deploy LLMs. However, ...
Abstract: The importance of Model Parallelism in Distributed Deep Learning continues to grow due to the increase in the Deep Neural Network (DNN) scale and the demand for higher training speed.