Research and Application of Transformation-based Generative AI Technology

In recent times, generative AI has cropped up with many potential areas where its implementation can promise great efficiency. Above all, there is the Transformer model for which a detailed report is required for elaboration on principles, advantages, and disadvantages. To begin with, in this paper, the basic structure and function of the Transformer model will be examined in depth by discussing the effect of the Transformer model on natural language processing and image generation. Case studies showing practical applications are done by the chapter in content creation, marketing, customer support, virtual assistance, and mental health services by showing how this technology will redefine the fields. The paper finally reviews the literature at the end towards pointing to the future for the formulation of actionable recommendations with the view of enhancing both capabilities and applications related to generative AI technologies. This work underlines the profound impact of Transformer-based generative AI in innovation and efficiency across several dimensions.

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Publication Details

Journal
Applied and Computational Engineering
Published
2024-11-29
DOI
https://doi.org/10.54254/2755-2721/111/2024ch0107
Primary Topic
Advanced Computational Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

Research and Application of Transformation-based Generative AI Technology

Yongtao Yuan
Applied and Computational Engineering
Advanced Computational Techniques and Applications
article

Research and Application of Transformation-based Generative AI Technology

Yongtao Yuan
article en

Abstract

In recent times, generative AI has cropped up with many potential areas where its implementation can promise great efficiency. Above all, there is the Transformer model for which a detailed report is required for elaboration on principles, advantages, and disadvantages. To begin with, in this paper, the basic structure and function of the Transformer model will be examined in depth by discussing the effect of the Transformer model on natural language processing and image generation. Case studies showing practical applications are done by the chapter in content creation, marketing, customer support, virtual assistance, and mental health services by showing how this technology will redefine the fields. The paper finally reviews the literature at the end towards pointing to the future for the formulation of actionable recommendations with the view of enhancing both capabilities and applications related to generative AI technologies. This work underlines the profound impact of Transformer-based generative AI in innovation and efficiency across several dimensions.

Applied and Computational EngineeringVol. 111(1)
Xi’an Jiaotong-Liverpool University (CN)
Industry, innovation and infrastructure
Openalex Percentile: Top 80%
Advanced Computational Techniques and Applications
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