AAAI 2024technical0 citations
Finetuning LLMs for Automatic Concept to TTI Prompt Generation (Student Abstract)
Jeremy Rutter, Maneesh Reddy Chamakura, Justin Delgado, Gene Louis Kim
Abstract
Our work explores bridging the gap between large language models and text-to-image models to create a tool for quickly and easily generating high quality images from a given concept. In our experiments we successfully improved image quality with only a preliminary utilization of the available resources for finetuning.
BibTeX
@article{Rutter_Chamakura_Delgado_Kim_2024, title={Finetuning LLMs for Automatic Concept to TTI Prompt Generation (Student Abstract)}, volume={38}, url={https://ojs.aaai.org/index.php/AAAI/article/view/30505}, DOI={10.1609/aaai.v38i21.30505}, abstractNote={Our work explores bridging the gap between large language models and text-to-image models to create a tool for quickly and easily generating high quality images from a given concept. In our experiments we successfully improved image quality with only a preliminary utilization of the available resources for finetuning.}, number={21}, journal={Proceedings of the AAAI Conference on Artificial Intelligence}, author={Rutter, Jeremy and Chamakura, Maneesh Reddy and Delgado, Justin and Kim, Gene Louis}, year={2024}, month={Mar.}, pages={23637-23639} }