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Unveiling Gender Bias in Occupations: A Comparative Analysis of GPT-3.5 and Llama 2 in the Generation of Dutch Short Stories

dc.rights.licenseCC-BY-NC-ND
dc.contributor.advisorNguyen, Dong
dc.contributor.authorButter, Shiyi
dc.date.accessioned2024-10-26T00:01:27Z
dc.date.available2024-10-26T00:01:27Z
dc.date.issued2024
dc.identifier.urihttps://studenttheses.uu.nl/handle/20.500.12932/48025
dc.description.sponsorshipUtrecht University
dc.language.isoEN
dc.subjectThe presence and extent of gender bias in the assignment of occupations within the context of generating premises of fictional stories using GPT-3 and Llama 2.
dc.titleUnveiling Gender Bias in Occupations: A Comparative Analysis of GPT-3.5 and Llama 2 in the Generation of Dutch Short Stories
dc.type.contentMaster Thesis
dc.rights.accessrightsOpen Access
dc.subject.courseuuArtificial Intelligence
dc.thesis.id40517


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