Active Learning Loop on OpenShift

Explore the implementation of an active learning pipeline on OpenShift in this 44-minute DevNation Day talk. Discover how to deploy, maintain, and improve machine learning models using data-centric methods and semi-supervised learning techniques. Learn about the human-in-the-loop paradigm and dynamic data labeling during the training phase. Gain insights into leveraging containers on OpenShift for training and serving, and see how open-source tools like Label Studio and Label Studio ML server can be utilized to create an effective active learning loop.

Active learning loop on OpenShift | DevNation Day: MAD