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VGU RESEARCH REPOSITORY


Please use this identifier to cite or link to this item: https://epub.vgu.edu.vn/handle/dlibvgu/2003
DC FieldValueLanguage
dc.contributor.authorDang Chau Pha Leen_US
dc.date.accessioned2025-03-26T07:19:06Z-
dc.date.available2025-03-26T07:19:06Z-
dc.date.issued2024-
dc.identifier.urihttps://epub.vgu.edu.vn/handle/dlibvgu/2003-
dc.description.abstractThis paper aims to explore how artificial intelligence (AI), especially Generative AI, can help with the recruitment process. Using AI in the recruitment process can save time and cost, select the best suited person, standardize the process, and improve both the candidate’s and the recruiter’s experience. Generative AI can provide personalized communication and reduce boring tasks for both parties. The paper also presents a use case of leveraging Generative AI in the recruitment process, using Microsoft as an example of a cloud provider that supports this use case. The use case reviews the recruitment process and its key performance indicators (KPIs), then suggests implementation approaches that could improve the current process to receive better KPIs. The research does not focus on how the existing Generative models were built but how to apply fine-tuning, Retrieval-Augmented Generation (RAG), and Prompt Engineering to resolve some common business cases in the recruitment process.en_US
dc.language.isoenen_US
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectCandidate experienceen_US
dc.subjectArtificial intelligenceen_US
dc.subjectGenerative AIen_US
dc.subjectAnalytical AIen_US
dc.subjectRetrieval-augmented generationen_US
dc.titleEnhancing the recruitment procedure and its associated KPIs by utilizing generative AI deployment and assessment using Microsoft’s open AI technologyen_US
dc.typeThesisen_US
item.fulltextWith Fulltext-
item.languageiso639-1other-
item.grantfulltextrestricted-
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