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master's thesis
Primjena velikih jezičnih modela u razvoju chat bot asistenta u pivarstvu
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. urn:nbn:hr:168:125157
Almer, Sven
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Almer, S. (2024). Primjena velikih jezičnih modela u razvoju chat bot asistenta u pivarstvu (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:125157

Almer, Sven. "Primjena velikih jezičnih modela u razvoju chat bot asistenta u pivarstvu." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:125157

Almer, Sven. "Primjena velikih jezičnih modela u razvoju chat bot asistenta u pivarstvu." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2024. https://urn.nsk.hr/urn:nbn:hr:168:125157

Almer, S. (2024). 'Primjena velikih jezičnih modela u razvoju chat bot asistenta u pivarstvu', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 17 November 2024, https://urn.nsk.hr/urn:nbn:hr:168:125157

Almer S. Primjena velikih jezičnih modela u razvoju chat bot asistenta u pivarstvu [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2024 [cited 2024 November 17] Available at: https://urn.nsk.hr/urn:nbn:hr:168:125157

S. Almer, "Primjena velikih jezičnih modela u razvoju chat bot asistenta u pivarstvu", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2024. Available at: https://urn.nsk.hr/urn:nbn:hr:168:125157

Metadata
TitlePrimjena velikih jezičnih modela u razvoju chat bot asistenta u pivarstvu
Title (english)Applying large language models in developing a chatbot assistant in brewing
AuthorSven Almer
MentorDomagoj Vlah (mentor)
Committee memberDomagoj Vlah (predsjednik povjerenstva)
Committee memberJan Šnajder (član povjerenstva)
Committee memberDario Bojanjac (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2024-09-16, Croatia
Abstract
U ovom radu predstavljen je problem izrade chatbota prilagođenog području pivarstva. Cilj rada je izrada takvog sustava koji je sposoban generirati, interpretirati i modificirati pivske recepte. Obavljen je pregled dostupnih velikih jezičnih modela te je objašnjena njihova arhitektura i način djelovanja, konačno je odabran model LLaMA 3.1 za implementaciju. Nad tabularnim skupom podataka odrađena je obrada, analiza i pretvorba u format prikladan za učenje velikih jezičnih modela. Model je treniran nad skupom podataka korištenjem metoda optimizacije: kvantizacije i LoRA-e. Opisana je funkcija pogreške korištena kod evaluacije modela, dani su primjeri interakcije s modelom te je model evaluiran. Za demonstraciju i interakciju s modelom implementirana je jednostavna iOS mobilna aplikacija temeljena na funkcionalnosti radnog okvira Core ML, koji omogućava lokalnu pohranu i izvođenje modela.
Abstract (english)
This thesis approaches the problem of implementing a chatbot assistant intended for use in homebrewing. The goal of this thesis is constructing a system based on large language models capable of generating, interpreting and modifying beer recipes. An overview of available and popular large language models was provided, along with a deep dive into their architecture and way of working. Finally, LLaMA 3.1 was selected as the model to be fine-tuned. A tabular dataset of beer recipe was cleaned, processed and transformed into the appropriate format for training LLM-s. The model was finetuned using quantization and LoRA. An error function was constructed for evaluating the resulting model, examples of interaction with the model were provided, and the model was evaluated. A simple iOS chat application was implemented for demonstrating model interaction, using the Core ML framework, which enables local model storage and inference.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:125157
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2024-11-07 05:35:30