Do Large Language Models Understand Chemistry? A Conversation with ChatGPT

Key Points

Key points are not available for this paper at this time.

Abstract

Large language models (LLMs) have promised a revolution in answering complex questions using the ChatGPT model. Its application in chemistry is still in its infancy. This viewpoint addresses the question of how well ChatGPT understands chemistry by posing five simple tasks in different subareas of chemistry.

Bookmark

Cite This Study

Nascimento et al. (Thu,) studied this question.

synapsesocial.com/papers/69dcc39cd4d0de07d1133b24 https://doi.org/https://doi.org/10.1021/acs.jcim.3c00285

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Determination of octanol–water partition coefficient for terpenoids using reversed-phase high-performance liquid chromatography1999 · 188 citations
2Foundation Models of Scientific Knowledge for Chemistry: Opportunities, Challenges and Lessons Learned2022 · 17 citations
3Water Soluble Polymers for Pharmaceutical Applications2011 · 602 citations
4Natural language processing models that automate programming will transform chemistry research and teaching2022 · 64 citations
5SMILES, a chemical language and information system. 1. Introduction to methodology and encoding rules1988 · 7,588 citations

Bookmark