Testing the Reliability of ChatGPT in Providing Spectral Information
ChatGPT has emerged as a tool for predicting Hydrogen-1 Nuclear Magnetic Resonance (1HNMR), Infrared (IR), and Mass Spectrometry (MS) spectra. In order to rely on ChatGPT as a tool, a proof of concept for its application was essential. Having the ChatGPT outputs be validated by experimental data and databases (SDBS) has proven valuable for future uses. By inference, ChatGPT spectra output can be used to design problems without interference of copyright infringement of existing databases.
Authors
- Eduardo Santos Sánchez
- A. Fraiman
- S. Delgado (ORCID: https://orcid.org/0009-0007-5660-9447)
- Paola Barron
- Brooke Dorsey
Institutions
- Northeastern Illinois University (US)
Publication Details
- Journal
- Advances in Peer-Led Learning
- Published
- 2024-12-20
- DOI
- https://doi.org/10.54935/apll2024-01-07-69
- Primary Topic
- COVID-19 diagnosis using AI
- Type
- article
- Field-Weighted Citation Impact
- 0.00