Generative artificial intelligence and lifelong learning: Literature mapping Modelos de lenguaje grande, la revolución silenciosa en educación, salud e industria: mapeo sistémico de literatura Academic Article in Scopus uri icon

abstract

  • Large Language Models (LLMs) are revolutionizing multiple sectors through their ability to process and generate text with a high level of coherence and context. These models do not allow public access to their source code or training data, which restricts their use to the organization that owns them. Unlike open-source models, closed LLMs present both unique opportunities and challenges. We asked: What are effective strategies for integrating LLMs in education, health and industry, and how can they manage ethical, security and transparency challenges? The study method is a systematic review of the literature, analyzing articles from the Scopus and Web of Science databases from January 2019 to May 2024. The most relevant data were selected using inclusion, exclusion and quality criteria, and They identified 60 articles for analysis. The findings highlight: (a) significant opportunities in customization and efficiency across diverse sectors, (b) frameworks for effective integration of LLMs, and (c) strategies to address ethical and safety challenges. This paper invites other researchers to explore the use of LLMs in different areas, highlighting their potential to transform educational, medical and industrial processes, while ensuring responsible and ethical use. © CISCI - Simposium Iberoamericano en Educacion, Cibernetica e Informatica 2024.

publication date

  • January 1, 2024