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GPT for Synthetic Data Generation by husawa is a document available to read on EtoBox.
What is GPT for Synthetic Data Generation about?
This paper explores the use of GPT for generating synthetic data to support evidence-based policymaking, highlighting its advantages over traditional data collection methods, particularly in terms of privacy and cost-effectiveness. The authors conducted an empirical study by posing over 18,500 probes to GPT to create stereotypical data across three levels of granularity, demonstrating the model
- Author
- husawa
- Language
- EN