Iterative Development Workflows for Building AI Applications

Explore iterative development workflows for building AI applications in this 40-minute conference talk from MLOps World: Machine Learning in Production. Gain insights from Vincent Sunn Chen, Founding Engineer at Snorkel AI, and Priyal Aggarwal, Machine Learning Engineer at Snorkel AI, as they discuss the evolving landscape of modern AI application development. Discover key interfaces and patterns for iteratively building high-quality AI applications using the Snorkel framework. Learn about guided error analysis tools that help developers prioritize impactful steps for improving quality, including correcting supervision and fine-tuning models. Understand how these development workflows support collaboration with subject matter experts, leveraging domain expertise to enhance end-to-end application quality. Delve into the shift from focusing solely on models trained over static datasets to a more holistic approach that emphasizes training data in AI pipelines.

Iterative development workflows for building AI applications