Classification and Recognition in the Large Language Models Context

Adrian Doroiman
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Adrian Doroiman: Bucharest University of Economic Studies, Bucharest, Romania

Economics and Applied Informatics, 2024, issue 3, 344-350

Abstract: The current paper presents a comparative study of a classification task performed by two popular Large Language Models. The quantitative results show that the models have comparable performance, while the qualitative analysis outlines some weak points specific to both models.

Keywords: LLM; supervised / unsupervised learning; prompt engineering (search for similar items in EconPapers)
Date: 2024
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Persistent link: https://EconPapers.repec.org/RePEc:ddj:fseeai:y:2024:i:3:p:344-350

DOI: 10.35219/eai15840409460

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