Data Management Strategies
Sedarius emphasizes the importance of starting small when managing large datasets to build confidence and trust in the system. He discusses the need for ongoing monitoring and adaptation as organizational changes occur. Craig raises the issue of training models with clean data to reduce hallucinations, highlighting the potential for improved outcomes when anomalies are eliminated from training datasets.In this clip
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Eye on AI
The Importance of Data Quality in AI Systems
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