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Navigating Synthetic Data and Model Collapse in AI
This chapter examines the intricate relationship between synthetic data and AI performance, highlighting the risks of model collapse during retraining. It underscores the necessity for human intervention in data curation to align AI models with real-world scenarios and mitigate potential pitfalls.