Synthetic tabular data generation with large language models (taken)

In this project, we embark on an in-depth exploration of the possibilities and capabilities associated with the generation of synthetic tabular data. Our approach involves harnessing the power of pre-trained large language models, which have demonstrated remarkable prowess in understanding and generating natural language text. Through this endeavor, we aim to unlock the potential of these advanced models in crafting structured data tables that closely mimic real-world datasets.