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Towards high-quality (maybe synthetic) datasets

Practical AI

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Harnessing AI for Synthetic Data Feedback

This chapter explores the innovative use of AI models as labelers in the creation and enhancement of synthetic datasets. It discusses the processes involved in generating high-quality data while addressing the challenges of hallucination and the significance of robust labeling methods. The conversation also highlights the growing trend of synthetic data utilization in improving model performance and maintaining privacy in data practices.

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