Geotechnical Parrot Tales (GPT): Harnessing Large Language Models in Geotechnical Engineering
Publication: Journal of Geotechnical and Geoenvironmental Engineering
Volume 150, Issue 1
Abstract
Forum papers are thought-provoking opinion pieces or essays founded in fact, sometimes containing speculation, on a civil engineering topic of general interest and relevance to the readership of the journal. The views expressed in this Forum article do not necessarily reflect the views of ASCE or the Editorial Board of the journal.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the author upon reasonable request.
Acknowledgments
I thank Prof. Ellen Rathje for her insightful comments and discussions.
References
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Petroni, F., P. Lewis, A. Piktus, T. Rocktäschel, Y. Wu, A. H. Miller, and S. Riedel. 2020. “How context affects language models’ factual predictions.” Preprint, submitted May 10, 2020. https://arxiv.org/abs/2005.04611.
Vaswani, A., N. Shazeer, N. Parmar, J. Uszkoreit, L. Jones, A. N. Gomez, Ł. Kaiser, and I. Polosukhin. 2017. “Attention is all you need.” In Advances in neural information processing systems, 30. New York: Association of Computing Machinery.
Wei, J., X. Wang, D. Schuurmans, M. Bosma, F. Xia, E. Chi, Q. V. Le, and D. Zhou. 2022. “Chain of thought prompting elicits reasoning in large language models.” Preprint, submitted January 28, 2022. https://arxiv.org/abs/2201.11903.
Yao, S., J. Zhao, D. Yu, N. Du, I. Shafran, K. Narasimhan, and Y. Cao. 2022. “React: Synergizing reasoning and acting in language models.” Preprint, submitted October 6, 2022. https://arxiv.org/abs/2201.119032210.03629.
Information & Authors
Information
Published In
Journal of Geotechnical and Geoenvironmental Engineering
Volume 150 • Issue 1 • January 2024
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Apr 5, 2023
Accepted: Aug 31, 2023
Published online: Nov 9, 2023
Published in print: Jan 1, 2024
Discussion open until: Apr 9, 2024
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