20.500.12556/DKUM-89794 Strategije prilagajanja izhodov velikih jezikovnih modelov Strategies for adjusting the outputs of large language models 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. 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. veliki jezikovni modeli modeli obdelave naravnega jezika umetna inteligenca inženiring spodbud large language models natural language processing models artificial intelligence prompt engineering true true false [B. Grujič] Slovenski jezik Angleški jezik Magistrsko delo/naloga 2024-08-12 15:58:34 2024-09-19 16:21:42 2024-12-16 12:09:04 0000-00-00 00:00:00 2024 0 Maribor 0 0000-00-00 NiDoloceno NiDoloceno NiDoloceno 0000-00-00 0000-00-00 0000-00-00 004.8:81'322.2(043.2) 219233283 MAG_Grujic_Bard_2024.pdf MAG_Grujic_Bard_2024.pdf 1 F7A1BB62E7E48D5563DB995BF947F9CD 331fd77fe9c658fa98d85bdc231ac4dd3d44fc7a8b1a4d3b458acf38f3a93b9f 74c6e1e3-5938-11ef-8343-00155d000105 https://dk.um.si/Dokument.php?lang=slv&id=182314 Fakulteta za elektrotehniko, računalništvo in informatiko 0 0 0