Metadata in AI
Discover how a metadata repository can enhance your understanding of model decisions by tracking configurations and parameters linked to data lineage. Learn about practical use cases that demonstrate how to trace back from a model's output to the training data and experiments that influenced its performance. This insight is crucial for refining AI models and ensuring accountability in decision-making processes.In this clip
From this podcast
The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence)
Exploring TensorFlow 2.0 with Paige Bailey - TWiML Talk #242
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