The emergence of economic rationality of GPT

As large language models (LLMs) like GPT become increasingly prevalent, it is essential that we assess their capabilities beyond language processing. This paper examines the economic rationality of GPT by instructing it to make budgetary decisions in four domains: risk, time, social, and food prefer...

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Bibliographic Details
Published in:Proceedings of the National Academy of Sciences - PNAS 2023-12, Vol.120 (51), p.1-9, Article e2316205120
Main Authors: Chen, Yiting, Liu, Tracy Xiao, Shan, You, Zhong, Songfa
Format: Article
Language:English
Subjects:
Decision Making
Decision theory
Economic Sciences
Economics
Food preferences
Heterogeneity
Human subjects
Humans
Large language models
Natural language processing
Preferences
Rationality
Social Sciences
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