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Ten simple rules to leverage large language models for getting grants.

Authors :
Seckel, Elizabeth
Stephens, Brandi Y.
Rodriguez, Fatima
Source :
PLoS Computational Biology; 3/1/2024, Vol. 20 Issue 2, p1-7, 7p
Publication Year :
2024

Abstract

The article discusses the use of large language models (LLMs), such as OpenAI's ChatGPT and Google Bard, in the grant writing process. LLM-driven chatbots have become popular tools for drafting and revising scientific text, but there are concerns about ethical issues, privacy, and the potential for generating false information. The article provides ten rules for using LLMs in grant writing, including checking the guidelines of funding agencies, considering data privacy limitations, not relying solely on AI to write the grant, fact-checking everything, using AI-generated text as inspiration rather than copying it directly, and seeking feedback from human reviewers. The authors emphasize the importance of maintaining control over the text and continuously improving grant writing skills. They also highlight the potential benefits of AI in democratizing the grant writing process and helping non-native English writers overcome language barriers. [Extracted from the article]

Details

Language :
English
ISSN :
1553734X
Volume :
20
Issue :
2
Database :
Complementary Index
Journal :
PLoS Computational Biology
Publication Type :
Academic Journal
Accession number :
175789646
Full Text :
https://doi.org/10.1371/journal.pcbi.1011863