Article
Large Language Models, scientific knowledge and factuality: A systematic analysis in antibiotic discovery
2023-07-11
Abstract excerpt
<h4>Background: </h4> Inferring over and extracting information from Large Language Models (LLMs) trained on a large corpus of scientific literature can potentially drive a new era in biomedical research, reducing the barriers for accessing existing medical evidence. This work examines the potential of LLMs for dialoguing with biomedical background knowledge, using the context of antibiotic discovery as an exempla...
Topics
Open a Topic to create a Post that cites this publication.
Identifiers and source
- Literature Corpus work
- a364402e-4800-5c6f-af80-5b391eed0431
- DOI
- 10.21203/rs.3.rs-3117447/v1
