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A friendly, practical guide that lays out some best practices for creating useful, responsible AI applications.
Highly interactive, visual, and approachable explanations of key AI concepts.
Exploring ML ideas and issues, in non-technical features and conversations with diverse voices from around the world.
We build open-source tools to help make ML models more understandable, reliable, and fair.