Artificial Intelligence LLM for smarter access to documentation – Public Management Summary
dc.contributor.author | Gafirov, Alexander | |
dc.contributor.author | Zoller, Anne-Sophie | |
dc.contributor.author | Stoll, Fabian | |
dc.contributor.author | Selvakumar, Jayalakshmi | |
dc.contributor.author | Teklit, Dejen | |
dc.contributor.mentor | Wache, Holger | |
dc.contributor.partner | Worldline, Zürich | |
dc.date.accessioned | 2024-12-03T19:15:36Z | |
dc.date.available | 2024-12-03T19:15:36Z | |
dc.date.issued | 2024 | |
dc.description.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. | |
dc.identifier.uri | https://irf.fhnw.ch/handle/11654/48822 | |
dc.language.iso | en | |
dc.publisher | Hochschule für Wirtschaft FHNW | |
dc.spatial | Basel | |
dc.subject.ddc | 330 - Wirtschaft | |
dc.title | Artificial Intelligence LLM for smarter access to documentation – Public Management Summary | |
dc.type | 11 - Studentische Arbeit | |
dspace.entity.type | Publication | |
fhnw.InventedHere | Yes | |
fhnw.StudentsWorkType | Semesterarbeit | |
fhnw.affiliation.hochschule | Hochschule für Wirtschaft FHNW | de_CH |
fhnw.affiliation.institut | Bachelor of Science | |
relation.isMentorOfPublication | 9a5348f4-47b3-437d-a1f9-7cf66011e883 | |
relation.isMentorOfPublication.latestForDiscovery | 9a5348f4-47b3-437d-a1f9-7cf66011e883 |