Developing AI Models Using a Code-Free Platform

This paper examines the evolution of artificial intelligence (AI) technology and its impact on the development of intelligent products. With the advancements in machine learning and AI, the developer community has provided various frameworks and Python libraries, such as PyTorch and TensorFlow, to support the development of intelligent products. These tools have simplified the development process, but constructing intelligent systems remains challenging for non-specialists. Consequently, no-code intelligent development platforms have emerged, which lower the barrier to entry through visual interaction interfaces. The article also discusses the development process of intelligent agents, particularly the challenges associated with large language models, including computational requirements, costs, and expertise. Finally, the article demonstrates the process and advantages of developing intelligent agents through a no-code approach using the TWIN24AI platform as a case study.

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Published
2025-03-24
DOI
https://doi.org/10.1109/smartindustrycon65166.2025.10986074
Primary Topic
Simulation Techniques and Applications
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article
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article

Developing AI Models Using a Code-Free Platform

Konstantin Aksyonov, Lina Sun, Igor A. Kalinin
Simulation Techniques and Applications
article

Developing AI Models Using a Code-Free Platform

Konstantin Aksyonov, Lina Sun, Igor A. Kalinin
article en

Abstract

This paper examines the evolution of artificial intelligence (AI) technology and its impact on the development of intelligent products. With the advancements in machine learning and AI, the developer community has provided various frameworks and Python libraries, such as PyTorch and TensorFlow, to support the development of intelligent products. These tools have simplified the development process, but constructing intelligent systems remains challenging for non-specialists. Consequently, no-code intelligent development platforms have emerged, which lower the barrier to entry through visual interaction interfaces. The article also discusses the development process of intelligent agents, particularly the challenges associated with large language models, including computational requirements, costs, and expertise. Finally, the article demonstrates the process and advantages of developing intelligent agents through a no-code approach using the TWIN24AI platform as a case study.

Ural Federal University (RU)
Openalex Percentile: Top 89%
Simulation Techniques and Applications
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Developing AI Models Using a Code-Free Platform — Konstantin Aksyonov, Lina Sun, et al. · (2025) | TGRS Research Map | TGRS