A Large Language model for extracting factual information from venue rulebooks within financial institutions

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Keywords	Large Language Models, Retrieval Augmented Generation, Prompt engineering, Natural Language Programming, Financial Institutions, Domain-specific LLMs
Thesis Advisor	Pierris, Georgios, Cornelius, P.B.
Persistent URL	hdl.handle.net/2105/77742
Series	Business Information Management
Organisation	Rotterdam School of Management
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Yang, Kim. (2025). A Large Language model for extracting factual information from venue rulebooks within financial institutions. In Business Information Management.http://hdl.handle.net/2105/77742

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