Evaluating Large Language Models for the National Premedical Exam in India: Comparative Analysis of GPT-3.5, GPT-4, and Bard

Large language models (LLMs) have revolutionized natural language processing with their ability to generate human-like text through extensive training on large data sets. These models, including Generative Pre-trained Transformers (GPT)-3.5 (OpenAI), GPT-4 (OpenAI), and Bard (Google LLC), find appli...

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Vydáno v:	JMIR medical education Ročník 10; s. e51523
Hlavní autoři:	Farhat, Faiza, Chaudhry, Beenish Moalla, Nadeem, Mohammad, Sohail, Shahab Saquib, Madsen, Dag Øivind
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Canada JMIR Publications 21.02.2024
Témata:	Artificial Intelligence Benchmarking Confusion Educational Status Humans India Original Paper India natural language processing suitability Generative Pre-trained Transformers accuracy premedical exams Bard artificial intelligence medical education, medical exam AI model performance ChatGPT large language models educational task GPT-4
ISSN:	2369-3762, 2369-3762
On-line přístup:	Získat plný text
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