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The Role Of Synthetic Data In Building Better AI Applications

AI Engineering Podcast

CHAPTER

Harnessing Synthetic Data for AI Training

This chapter explores the intricacies of using synthetic data to train AI models, emphasizing the need for a careful balance with real-world data to optimize performance and prevent failures. It also addresses challenges such as data drift and the cold start problem, while showcasing the capabilities of Navigator in generating tailored datasets for effective application testing.

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