View Item 
        •   Utrecht University Student Theses Repository Home
        • UU Theses Repository
        • Theses
        • View Item
        •   Utrecht University Student Theses Repository Home
        • UU Theses Repository
        • Theses
        • View Item
        JavaScript is disabled for your browser. Some features of this site may not work without it.

        Browse

        All of UU Student Theses RepositoryBy Issue DateAuthorsTitlesSubjectsThis CollectionBy Issue DateAuthorsTitlesSubjects

        Investigating Open Source Transformer Techniques for Question Answering Systems on Cloud Domain: A Comparison with ChatGPT3.5-Turbo

        Thumbnail
        View/Open
        final_thesis_JELC.pdf (4.319Mb)
        Publication date
        2023
        Author
        Leal Castillo, Enrique
        Metadata
        Show full item record
        Summary
        [""The advent of transformer models in natural language processing (NLP), particularly extensive transformer models with billions of parameters often referred to as large language models (LLMs), have made signifi- cant strides in question-answering (QA) tasks leading to the production of more convincing natural language responses. Despite these advance- ments, assessing the reliability of QA systems remains challenging due to the intricate nature of language and the diverse array of question types ""]
        URI
        https://studenttheses.uu.nl/handle/20.500.12932/44283
        Collections
        • Theses
        Utrecht university logo