Back to search

Article

Evaluating the strengths and weaknesses of large language models in answering neurophysiology questions

2023-09-21

Abstract excerpt

<title>Abstract</title> <p><bold>Background: </bold>Large language models (LLMs), such as ChatGPT, Google's Bard, and Anthropic's Claude, demonstrate impressive natural language capabilities. Assessing their competence in specialized domains such as neurophysiology is important for determining their utility in research, education, and clinical applications. <bold>Objectives:</bold>This study evaluates and compare...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
9bd10668-170a-5093-941b-a92a32a062c5
DOI
10.21203/rs.3.rs-3348418/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Evaluating the strengths and weaknesses of large language models in answering neurophysiology questionsDOI 10.21203/rs.3.rs-3348418/v1
Select a neighboring publication to make it the new centre.