Fine-tuning GPT-3 for machine learning electronic and functional properties of organic molecules

Abstract

random alterations in atomic identities. We discuss the challenges and limitations inherent to the use of GPT-3 in molecular machine-learning tasks and suggest potential directions for future research and improvements to address these issues.