Age of Agents | Data Brew | Episode 41
Data Brew by Databricks
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Navigating Data Quality Challenges in AI Development
This chapter explores the complexities of data quality in AI systems, particularly when developing compound AI. It highlights the importance of error data collection, data standardization, and the ongoing efforts to optimize AI agents despite uncertainties.
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