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.

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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
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article

Intelligent Virtual Assistant for Calculating Technology Readiness Levels Using Large Language Models (LLM)

Gustavo Ramírez-González, Juan Betancourt, Cristhian Figueroa, Anabel Fraga et al.
IEEE Access
Technology Assessment and Management
article

Intelligent Virtual Assistant for Calculating Technology Readiness Levels Using Large Language Models (LLM)

Gustavo Ramírez-González, Juan Betancourt, Cristhian Figueroa, Anabel Fraga, Andrés Holguín Coral
article en

Abstract

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.

IEEE AccessVol. 13
University of Cauca (CO), Universidad Carlos III de Madrid (ES)
Openalex Percentile: Top 77%
Technology Assessment and Management
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Intelligent Virtual Assistant for Calculating Technology Readiness Levels Using Large Language Models (LLM) — Gustavo Ramírez-González, Juan Betancourt, et al. · IEEE Access (2025) | TGRS Research Map | TGRS