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12min chapter
Towards high-quality (maybe synthetic) datasets (Practical AI #290)
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AI Feedback and Synthetic Data Innovation
This chapter explores the dynamic relationship between AI feedback systems and synthetic data generation, focusing on how instruction-following models can enhance labeling processes. It discusses the challenges and possibilities associated with AI providing feedback to other AI systems, while also addressing the issue of data quality and hallucination in AI-generated content. Furthermore, the chapter highlights the development of frameworks aimed at optimizing the use of synthetic data across various industries, including healthcare, emphasizing recent advancements and practical applications.
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Discover
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