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Authors: Rafael Duque 1 ; Cristina Tîrnăucă 1 ; Camilo Palazuelos 1 ; Abraham Casas 2 ; Alejandro López 2 and Alejandro Pérez 2

Affiliations: 1 Department of Mathematics Statistics and Computer Science, University of Cantabria, Avenida de los Castros S/N, Santander, Spain ; 2 Centro Tecnológico CTC, Parque Científico y Tecnológico de Cantabria, Santander, Spain

Keyword(s): Automated Machine Learning, Large Language Models.

Abstract: This paper introduces a framework architecture that integrates Automated Machine Learning with Large Language Models to facilitate machine learning tasks for non-experts. The system leverages natural language processing to help users describe datasets, define problems, select models, refine results through iterative feedback, and manage the deployment and ongoing maintenance of models in production environments. By simplifying complex machine learning processes and ensuring the continued performance and usability of deployed models, this approach empowers users to effectively apply machine learning solutions without deep technical knowledge.

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Paper citation in several formats:
Duque, R., Tîrnăucă, C., Palazuelos, C., Casas, A., López, A. and Pérez, A. (2025). Bridging AutoML and LLMs: Towards a Framework for Accessible and Adaptive Machine Learning. In Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS; ISBN 978-989-758-749-8; ISSN 2184-4992, SciTePress, pages 959-964. DOI: 10.5220/0013448500003929

@conference{iceis25,
author={Rafael Duque and Cristina Tîrnăucă and Camilo Palazuelos and Abraham Casas and Alejandro López and Alejandro Pérez},
title={Bridging AutoML and LLMs: Towards a Framework for Accessible and Adaptive Machine Learning},
booktitle={Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS},
year={2025},
pages={959-964},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013448500003929},
isbn={978-989-758-749-8},
issn={2184-4992},
}

TY - CONF

JO - Proceedings of the 27th International Conference on Enterprise Information Systems - Volume 1: ICEIS
TI - Bridging AutoML and LLMs: Towards a Framework for Accessible and Adaptive Machine Learning
SN - 978-989-758-749-8
IS - 2184-4992
AU - Duque, R.
AU - Tîrnăucă, C.
AU - Palazuelos, C.
AU - Casas, A.
AU - López, A.
AU - Pérez, A.
PY - 2025
SP - 959
EP - 964
DO - 10.5220/0013448500003929
PB - SciTePress

- Science and Technology Publications, Lda.
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