Agenda

In this talk, we’ll discuss the key challenges and approaches for productionizing classification models in the age of foundation models. To start, we’ll highlight common but underrated challenges related to label schema definition, high cardinality, and multi-label problem formulations. We’ll dive into specific user experiences in Snorkel Flow to overcome these challenges, including ways to leverage foundation models, targeted error analysis, and supervision from subject matter experts. Finally, we’ll zoom out with a few case studies to describe how enterprise teams leverage data-centric workflows to build highly quality production models and unblock previously untenable problems in Snorkel Flow.