Artificial Intelligence LLM for smarter access to documentation – Public Management Summary
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Author (Corporation)
Publication date
2024
Typ of student thesis
Semesterarbeit
Course of study
Collections
Type
11 - Student thesis
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Hochschule für Wirtschaft FHNW
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Abstract
However, the sheer volume and complexity of these manuals often make it challenging for software engineers to locate the information they need quickly and efficiently. This frequent need to seek assistance from the Worldline team is time-consuming, inefficient, and ultimately costly for both parties.
Recognizing the need for a more streamlined and user-friendly approach, Worldline partnered with the FHNW to conduct a practical student project aimed at developing a solution that would empower software engineers to find the information they need within the documentation.
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330 - Wirtschaft
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Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Review
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Citation
GAFIROV, Alexander, Anne-Sophie ZOLLER, Fabian STOLL, Jayalakshmi SELVAKUMAR und Dejen TEKLIT, 2024. Artificial Intelligence LLM for smarter access to documentation – Public Management Summary. Basel: Hochschule für Wirtschaft FHNW. Verfügbar unter: https://irf.fhnw.ch/handle/11654/48822