Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Fine-Tuning Open-Source Large Language Models for Cybersecurity and IT Support: A Comparative Study on LLM Fine-Tuning Techniques

Saved in:
Bibliographic Details
Published in:IEEE Open Journal of the Computer Society
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1868553810451890176
collection WordPress RSS
FRELIP Feed Integration
container_title IEEE Open Journal of the Computer Society
description
discipline_display Computer Science
discipline_facet Computer Science
format Online Article
RSS Article
genre Journal Article
id rss_article:89233
institution FRELIP
journal_source_facet IEEE Open Journal of the Computer Society
last_indexed 2026-06-20T21:42:52.047Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Fine-Tuning Open-Source Large Language Models for Cybersecurity and IT Support: A Comparative Study on LLM Fine-Tuning Techniques
Computer Science
General
Computer Science
sub_discipline_display General
sub_discipline_facet General
subject_display Computer Science
General
Computer Science
subject_facet Computer Science
General
Computer Science
title Fine-Tuning Open-Source Large Language Models for Cybersecurity and IT Support: A Comparative Study on LLM Fine-Tuning Techniques
title_alt Ajuste fino de modelos de lenguaje grandes de código abierto para ciberseguridad y soporte de TI: Un estudio comparativo de técnicas de ajuste fino de LLM
Ajustement fin de grands modèles de langage open-source pour la cybersécurité et le support informatique : une étude comparative des techniques d'ajustement fin de LLM
Ajuste Fino de Modelos de Linguagem de Grande Porte de Código Aberto para Segurança Cibernética e Suporte de TI: Um Estudo Comparativo sobre Técnicas de Ajuste Fino de LLM
title_auth Fine-Tuning Open-Source Large Language Models for Cybersecurity and IT Support: A Comparative Study on LLM Fine-Tuning Techniques
title_es_txt Ajuste fino de modelos de lenguaje grandes de código abierto para ciberseguridad y soporte de TI: Un estudio comparativo de técnicas de ajuste fino de LLM
title_fr_txt Ajustement fin de grands modèles de langage open-source pour la cybersécurité et le support informatique : une étude comparative des techniques d'ajustement fin de LLM
title_full Fine-Tuning Open-Source Large Language Models for Cybersecurity and IT Support: A Comparative Study on LLM Fine-Tuning Techniques
title_fullStr Fine-Tuning Open-Source Large Language Models for Cybersecurity and IT Support: A Comparative Study on LLM Fine-Tuning Techniques
title_full_unstemmed Fine-Tuning Open-Source Large Language Models for Cybersecurity and IT Support: A Comparative Study on LLM Fine-Tuning Techniques
title_pt_txt Ajuste Fino de Modelos de Linguagem de Grande Porte de Código Aberto para Segurança Cibernética e Suporte de TI: Um Estudo Comparativo sobre Técnicas de Ajuste Fino de LLM
title_short Fine-Tuning Open-Source Large Language Models for Cybersecurity and IT Support: A Comparative Study on LLM Fine-Tuning Techniques
title_sort fine-tuning open-source large language models for cybersecurity and it support: a comparative study on llm fine-tuning techniques
topic Computer Science
General
Computer Science
url http://ieeexplore.ieee.org/document/11488504