Arquitectura e implementación de un Asistente Virtual basado en tecnologías OpenAI para el acceso eficiente a información académica

Cristhian José  Córdova Minalla; Jeiner Jair  Mendieta Castro; Wilmer Braulio  Rivas Asanza; Bertha Eugenia  Mazón Olivo

doi:10.59169/pentaciencias.v7i3.1485

Authors

Cristhian José Córdova Minalla Universidad Técnica de Machala https://orcid.org/0009-0002-9193-7001
Jeiner Jair Mendieta Castro Universidad Técnica de Machala https://orcid.org/0009-0008-0261-0263
Wilmer Braulio Rivas Asanza Universidad Técnica de Machala https://orcid.org/0000-0002-2239-3664
Bertha Eugenia Mazón Olivo Universidad Técnica de Machala https://orcid.org/0000-0002-2749-8561

DOI:

https://doi.org/10.59169/pentaciencias.v7i3.1485

Keywords:

Artificial Intelligence; Virtual Assistant; OpenAI; Fine-Tuning; NLP

Abstract

This research focused on proposing an architecture based on OpenAI technologies, utilizing advanced natural language processing (NLP) models and fine-tuning techniques to develop a virtual assistant aimed at managing and efficiently accessing academic information in higher education institutions, taking the Technical University of Machala (UTMACH) as a case study. The methodology was structured into two main activities: the first involved designing a modular and multi-layered architecture that integrated language models, vector databases, and voice-to-text and text-to-voice conversion tools. The second stage focused on the practical implementation of the virtual assistant, developing an interactive interface and conducting pilot tests in real environments to evaluate its functionality and accuracy. The results, obtained through a confusion matrix, showed an accuracy of 96.88% in strictly correct responses and 97.50% when including partially correct responses. The evaluation of the assistant demonstrates the feasibility of the architecture and its ability to manage academic information with high accuracy in different environments, identifying areas for improvement in the coherence of certain responses.

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