Bridging AutoML and LLMs: Towards a Framework for Accessible and Adaptive Machine Learning

Rafael Duque, Cristina Tîrnăucă, Camilo Palazuelos, Abraham Casas, Alejandro López, Alejandro Pérez

2025

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.

Paper Citation

in Harvard Style

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, SciTePress, pages 959-964. DOI: 10.5220/0013448500003929

in Bibtex Style

@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},
}

in EndNote Style

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
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