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 … Read more