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Title:Strategije prilagajanja izhodov velikih jezikovnih modelov
Authors:ID Grujič, Bard (Author)
ID Karakatič, Sašo (Mentor) More about this mentor... New window
Files:.pdf MAG_Grujic_Bard_2024.pdf (2,79 MB)
MD5: F7A1BB62E7E48D5563DB995BF947F9CD
 
Language:Slovenian
Work type:Master's thesis/paper
Typology:2.09 - Master's Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Namen magistrskega dela je sistematično predstaviti, raziskati in analizirati delovanje velikih jezikovnih modelov, s posebnim poudarkom na modelu transformatorja, ter raziskati, kako prilagoditi izhode teh modelov za specifične potrebe organizacij. V praksi bomo preučili, kako ta prilagoditev deluje, tako da bomo razvili in demonstrirali aplikacijo za iskanje ključnih besed po dokumentih v PDF formatu z uporabo velikega jezikovnega modela GPT-4 podjetja OpenAI.
Keywords:veliki jezikovni modeli, modeli obdelave naravnega jezika, umetna inteligenca, inženiring spodbud
Place of publishing:Maribor
Publisher:[B. Grujič]
Year of publishing:2024
PID:20.500.12556/DKUM-89794 New window
UDC:004.8:81'322.2(043.2)
COBISS.SI-ID:219233283 New window
Publication date in DKUM:19.09.2024
Views:317
Downloads:58
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY-NC-ND 4.0, Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
Link:http://creativecommons.org/licenses/by-nc-nd/4.0/
Description:The most restrictive Creative Commons license. This only allows people to download and share the work for no commercial gain and for no other purposes.
Licensing start date:12.08.2024

Secondary language

Language:English
Title:Strategies for adjusting the outputs of large language models
Abstract:The purpose of this master's thesis is to systematically present, investigate, and analyze the operation of large language models, with a particular focus on the transformer model, and to explore how to adapt the outputs of these models to meet the specific needs of organizations. In practice, we will examine how this adaptation works by developing and demonstrating an application for keyword search in PDF documents using the GPT-4 large language model developed by OpenAI.
Keywords:large language models, natural language processing models, artificial intelligence, prompt engineering


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