Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/215077
Full metadata record
DC FieldValueLanguage
dc.contributor.advisorVieiro Yanes, Arturo-
dc.contributor.authorConti, Eddie-
dc.date.accessioned2024-09-10T09:30:25Z-
dc.date.available2024-09-10T09:30:25Z-
dc.date.issued2024-07-09-
dc.identifier.urihttps://hdl.handle.net/2445/215077-
dc.descriptionTreballs finals del Màster de Fonaments de Ciència de Dades, Facultat de matemàtiques, Universitat de Barcelona. Curs: 2023-2024. Tutor: Arturo Vieiro Yanes i Oriol Pujol Vilaca
dc.description.abstract[en] Large Language Models (LLMs) are AI systems capable of understanding and generating human language by processing vast amounts of text data. In recent years, specifically from 2017, the use of LLMs significantly increased thanks to the introduction of the Transformer architecture.ca
dc.format.extent35 p.-
dc.format.mimetypeapplication/pdf-
dc.language.isoengca
dc.rightscc-by-nc-nd (c) Eddie Conti, 2023-
dc.rightscodi: GPL (c) Eddie Conti, 2023-
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.rights.urihttp://www.gnu.org/licenses/gpl-3.0.ca.html*
dc.sourceMàster Oficial - Fonaments de la Ciència de Dades-
dc.subject.classificationTractament del llenguatge natural (Informàtica)-
dc.subject.classificationProcessament de dades-
dc.subject.classificationXarxes neuronals (Informàtica)-
dc.subject.classificationTreballs de fi de màster-
dc.subject.otherNatural language processing (Computer science)-
dc.subject.otherData processing-
dc.subject.otherNeural networks (Computer science)-
dc.subject.otherMaster's thesis-
dc.titleAttention mechanisms in transformers: a new formula with mathematical foundations and enhanced interpretabilityca
dc.typeinfo:eu-repo/semantics/masterThesisca
dc.rights.accessRightsinfo:eu-repo/semantics/openAccessca
Appears in Collections:Màster Oficial - Fonaments de la Ciència de Dades
Programari - Treballs de l'alumnat

Files in This Item:
File Description SizeFormat 
tfm_conti_eddie.pdfMemòria1.41 MBAdobe PDFView/Open
Master-Thesis-UB-main.zipCodi font796.03 kBzipView/Open


This item is licensed under a Creative Commons License Creative Commons