DIstributed PAth COmposition (DiPaCo): A Modular Architecture and Training Approach for Machine Learning ML Models

The fields of Machine Learning (ML) and Artificial Intelligence (AI) are significantly progressing, mainly due to the utilization of larger neural network models and the training of these models on increasingly massive datasets. This expansion has been made possible through the implementation of data and model parallelism techniques, as well as pipelining methods, which distribute […]

The post DIstributed PAth COmposition (DiPaCo): A Modular Architecture and Training Approach for Machine Learning ML Models appeared first on MarkTechPost.

ai paper summary ai shorts architecture artificial artificial intelligence data datasets distributed editors pick expansion fields implementation intelligence machine machine learning massive ml models modular network neural network path staff tech news technology through training