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arxiv:2403.04190

Generative AI for Synthetic Data Generation: Methods, Challenges and the Future

Published on Mar 7
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Abstract

The recent surge in research focused on generating synthetic data from large language models (LLMs), especially for scenarios with limited data availability, marks a notable shift in Generative Artificial Intelligence (AI). Their ability to perform comparably to real-world data positions this approach as a compelling solution to low-resource challenges. This paper delves into advanced technologies that leverage these gigantic LLMs for the generation of task-specific training data. We outline methodologies, evaluation techniques, and practical applications, discuss the current limitations, and suggest potential pathways for future research.

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That's a promising paper! However, in the section III, authors mention the following part will present 2 scenarios, but I can only find one scenaria about medical. I am looking for the education scenarios.

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