Abstract
Tools based on large language models such as ChatGPT may revolutionize information retrieval and knowledge discovery, particularly with the vast amount of electronic material available. In this communication we evaluate how two versions of ChatGPT can answer complex questions on chemistry-related subjects in six topics. The tools are still insufficient to deal with subtleties of complex topics, especially as they do not have access to the whole of the scientific literature. However, the progress from ChatGPT-3 to ChatGPT-4 is an indicator that we shall soon have tools to assist scientists in surveys, reviews of the literature, and for teaching.
Supplementary materials
Title
GPT-3 Model
Description
GPT-3 model results: Questions and answers
Actions
Title
GPT-4 Model
Description
GPT-4 model results: Questions and answers
Actions