Large Language Model-Powered Question-Answering Assistant for Citizen Developers
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Authors
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Publication date
2023
Typ of student thesis
Master
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11 - Student thesis
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Hochschule für Wirtschaft FHNW
Place of publication / Event location
Olten
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Abstract
The study explores using Large Language Model-powered QA-assistant to improve Citizen Developers' low-code platform development, addressing uncertainties and expectations surrounding generative AI. The primary objective of this thesis is to answer the main research question of how an LLM-powered QA-Assistant can improve the development process for Citizen developers in a data-centric, low-code platform.
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English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
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Review
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Citation
Luke, L. (2023). Large Language Model-Powered Question-Answering Assistant for Citizen Developers [Hochschule für Wirtschaft FHNW]. https://irf.fhnw.ch/handle/11654/48846