Exploring Artificial Intelligence to Assist Kinematics Analysis of Rigid Bodies

Artificial Intelligence applications have spread to various areas of knowledge. Some of the applications of Machine Learning are Large Language Models and Natural Language Processing. An efficient way of communication between users and Artificial Intelligence information models is through Prompt Engineering. This article explores using Artificial Intelligence to assist in the kinematics analysis of rigid bodies through Prompt Engineering. The results obtained from the kinematic analysis of a Large Language Model are evaluated through a case study. Among the findings, it is determined that the results of the analysis depend on the clarity and content of details provided by the user in the creation of the Prompts used to make the queries, as well as the user's expertise in the subject of kinematic analysis of rigid bodies since it must be determined the certainty of the answers provided by Artificial Intelligence.

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Publication Details

Published
2024-12-27
DOI
https://doi.org/10.1109/iceet65156.2024.10913916
Citations
1
Primary Topic
Mechanics and Biomechanics Studies
Type
article
Field-Weighted Citation Impact
0.18
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article

Exploring Artificial Intelligence to Assist Kinematics Analysis of Rigid Bodies

Héctor Rafael Morano-Okuno, Guillermo Sandoval-Benitez
1 citations
Mechanics and Biomechanics Studies
0.18
article

Exploring Artificial Intelligence to Assist Kinematics Analysis of Rigid Bodies

Héctor Rafael Morano-Okuno, Guillermo Sandoval-Benitez
article en
1 citations

Abstract

Artificial Intelligence applications have spread to various areas of knowledge. Some of the applications of Machine Learning are Large Language Models and Natural Language Processing. An efficient way of communication between users and Artificial Intelligence information models is through Prompt Engineering. This article explores using Artificial Intelligence to assist in the kinematics analysis of rigid bodies through Prompt Engineering. The results obtained from the kinematic analysis of a Large Language Model are evaluated through a case study. Among the findings, it is determined that the results of the analysis depend on the clarity and content of details provided by the user in the creation of the Prompts used to make the queries, as well as the user's expertise in the subject of kinematic analysis of rigid bodies since it must be determined the certainty of the answers provided by Artificial Intelligence.

Tecnológico de Monterrey (MX)
Openalex Percentile: Top 49%
Mechanics and Biomechanics Studies
0.18
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