Intelligent Virtual Assistant for Calculating Technology Readiness Levels Using Large Language Models (LLM)
The Technology Readiness Level (TRL) is a metric developed by NASA in the 1970s to assess the maturity of a technology and guide decision-making regarding its development. Although it is standardized, in practice, evaluations are often manual and subjective, leading to inconsistencies. In this study, an intelligent virtual assistant was developed based on a large language model (LLM), using GPT-3.5-Turbo as the foundation, selected over LlaMa-2 after rigorous performance testing. The model was trained using optimization techniques on a custom dataset built from reliable sources such as NASA, government entities, and universities, enabling a more accurate evaluation of the TRL.
Authors
- Gustavo Ramírez-González (ORCID: https://orcid.org/0000-0002-1338-8820)
- Juan Betancourt
- Cristhian Figueroa (ORCID: https://orcid.org/0000-0001-6697-886X)
- Anabel Fraga (ORCID: https://orcid.org/0000-0001-5837-920X)
- Andrés Holguín Coral
Institutions
- University of Cauca (CO)
- Universidad Carlos III de Madrid (ES)
Publication Details
- Journal
- IEEE Access
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/access.2025.3595699
- Primary Topic
- Technology Assessment and Management
- Type
- article
- Field-Weighted Citation Impact
- 0.00