Implementación de Chatbots con GPT como Asistentes Virtuales: Una Revisión Sistemática de la Literatura
DOI. 10.54798/JZHA4188
Palabras clave:
chatbot, GPT, asistente virtual, agente conversacional, asistente.Resumen
Desde su aparición hace algunos años, los Grandes Modelos de Lenguaje (LLMs) han revolucionado el campo de los agentes conversacionales y asistentes virtuales. Conocidos comúnmente como chatbots, estos programas pueden ahora implementar alguno de los varios modelos de lenguaje disponibles y usar sus capacidades para realizar tareas específicas sin necesidad de realizar un trabajo exhaustivo. Con el continuo y rápido avance de modelos como LlaMA o GPT, ha aumentado también la cantidad de investigaciones para el desarrollo de chatbots en distintos campos. El presente trabajo busca hacer una revisión sistemática de la literatura de chatbots implementados con la familia de modelos GPT y responder a las preguntas de investigación referidas a 1) las tecnologías de uso más comunes en su implementación, 2) los problemas que conlleva este trabajo y 3) los métodos usados para evaluar el rendimiento del chatbot.
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