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This talk explains a data-centric AI approach that places training data at the center of machine-learning development workflows. It covers foundational models and a data-centric foundation-model approach, with discussion of managing training data for real-world applications.
Syllabus
- Introduction & Outline
- Data-Centric AI: A Brief Motivation
- Data-Centric AI: Putting data at the center of the Ai development workflow AI
- What’s the bigger idea here?
- Brief recap: Foundational Models
- A Data-Centric Foundation Model Approach
- Q&A
Taught by
Open Data Science