Conferencia
Permanent URI for this collectionhttps://hdl.handle.net/11285/636053
Presentación o disertación realizada dentro de un congreso o evento similar, o como evento académico independiente, tales como: Conferencia inaugural, conferencia magistral, conferencia de clausura.
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- Generative artificial intelligence in higher education: a literature mapping perspective(IATED Digital Library, 2024-11-11) García López, Iván Miguel; Ramírez Montoya, María Soledad; Molina Espinosa, José Martín; https://ror.org/03ayjn504Generative Artificial Intelligence (GAI) opens intriguing possibilities for creating unique and innovative content. This systematic literature review (SLR) analysed the published evidence on GAI in higher education institutions from January 2018 to October 2023. Fourteen articles on the topic were identified in the Web of Science (WOS) and Scopus databases. We screened to obtain the most relevant data by applying inclusion, exclusion, and quality criteria. The results identified (1) the characteristics of the publications, (2) methodological trends, and (3) the approaches implemented. The study aims to be of value to the academic community and developers of GAI initiatives
- Design and challenges of open large language model frameworks (Open LLM): a systematic literature mapping(IATED Digital Library, 2024-11-11) García López, Iván Miguel; Ramírez Montoya, María Soledad; Molina Espinosa, José Martín; https://ror.org/03ayjn504Analyzing the frameworks of open large language models (OLLM) is essential to understanding how the management of these artificial intelligence (AI) models can be regulated. This study aims to analyze the evidence published from 2019 to 2024 regarding OLLM frameworks that integrate AI. Systematic mapping was the method for reviewing 227 articles published in the Scopus and Web of Science (WoS) databases. Inclusion, exclusion, and quality criteria filtered the papers to obtain the maximum relevant information. The analysis and classification of articles related to open LLM frameworks and models yielded significant findings per our research questions. The challenges identified were a) improving customization and accuracy through open LLMs, b) latency and efficiency challenges, c) the importance of reliability and security, and d) complex operational management (LLMOps). This review provides a framework for identifying the topic's state of the art and current and emerging research trends.