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How Is ChatGPT's Behavior Changing Over Time? (Chen, Zaharia & Zou 2024)

Reference

Citation: Chen, L., Zaharia, M. and Zou, J. "How Is ChatGPT's Behavior Changing Over Time?" Harvard Data Science Review 6(2) (2024). Type: paper. Link: doi.org/10.1162/99608f92.5317da47; open-access preprint arXiv:2307.09009 (2023).

What it is

A measurement study of two hosted model services (GPT-3.5 and GPT-4) on the same tasks at two dates in 2023. The same service name returned substantially different behaviour within three months: GPT-4's accuracy at identifying prime versus composite numbers fell from 84% (March 2023) to 51% (June 2023).

Role in the record

  • Grounds BP01: a hosted frontier model is a dependency the adopter does not control. Its behaviour can change with no version change visible to the user, so a workflow validated on it can need revalidation, which a script or pipeline the adopter controls does not.

Atom-level for/against detail and quotes are in the provenance data (assets/provenance.yml), keyed by practice atom.

Discussion