Augmenting LLMs to Securely Retrieve Information for Corporate Real Estate Management
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Authors
Author (Corporation)
Publication date
2024
Typ of student thesis
Master
Course of study
Collections
Type
11 - Student thesis
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Hochschule für Wirtschaft FHNW
Place of publication / Event location
Olten
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Abstract
This master’s thesis explores the enhancement of large language models for secure information retrieval within the context of corporate real estate management. Facility managers often face challenges accessing critical data scattered across various documents, including manuals and operation instructions. This thesis introduces a retrieval-augmented generation system tailored to the dynamic needs of facility management, aiming to provide instant, accurate access to essential information.
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Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Review
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Citation
Krütli, D. (2024). Augmenting LLMs to Securely Retrieve Information for Corporate Real Estate Management [Hochschule für Wirtschaft FHNW]. https://irf.fhnw.ch/handle/11654/51120