학술논문
Comparing ChatGPT-4 to BARD for Accuracy and Completeness of Responses to Questions Derived from the International Consensus Statement on Endoscopic Skull Base Surgery.
Document Type
Article
Author
Source
Subject
*SKULL base
*CHATGPT
*SKULL surgery
*LANGUAGE models
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Language
ISSN
2193-6331
Abstract
This article discusses the use of artificial intelligence (AI) language models, specifically Chat Generative Pre-Trained Transformer 4 (GPT-4) by OpenAI and Bard by Google, in answering questions and providing information to the public. The study compares the accuracy and completeness of responses generated by GPT-4 and Bard to questions based on the International Consensus Statement on Endoscopic Skull Base Surgery (ICAR:SB) guidelines. The results show that GPT-4 had higher accuracy and completeness scores compared to Bard. The study concludes that AI language models have the potential to be effective tools for disseminating information in the future. [Extracted from the article]