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12min chapter
Towards high-quality (maybe synthetic) datasets
Practical AI: Machine Learning, Data Science, LLM
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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AI-powered
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode