How to Build Powerful Extraction Models with Snorkel Flow скачать в хорошем качестве

How to Build Powerful Extraction Models with Snorkel Flow

During this session, John Semerdjian, Snorkel's Tech Lead Manager for Applied ML, and Vincent Chen, Founding Engineer and Director of Product, discuss practical workflows for building enterprise information extraction applications. They start with an end-to-end deep dive into “sequence tagging” tasks in Snorkel Flow, where they highlight how teams of data scientists and subject-matter experts can rapidly build powerful, zero-to-one models. In doing so, they cover the key annotation, error analysis, and model-guided iteration capabilities that have helped Snorkel's customers unblock models that power high-value use cases in production. Finally, they discuss exciting opportunities for even further acceleration of these workflows in an FM-first world. More related videos:    • Generative AI Projects | Snorkel AI   More related videos:    • The Future of Data-Centric AI 2023   More related videos:    • Data-centric AI | Snorkel AI   More related videos:    • AI Data Development: Building Better AI Th...   #informationextraction #datascience #machinelearning