从图灵到变压器:关于生成式变压器模型的演变和应用的全面回顾与教程

Sci Pub Date : 2023-12-15 DOI:10.3390/sci5040046
E. Y. Zhang, A. Cheok, Zhigeng Pan, Jun Cai, Ying Yan
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引用次数: 0

摘要

近年来,生成式变换器在人工智能领域,尤其是自然语言处理领域日益盛行。本文全面概述了这些模型,从阿兰-图灵提出的基础理论开始,一直延伸到当代的生成变换器架构。手稿既是一篇综述,也是一篇历史叙述和教程,旨在提供对这些模型的重要性、基本原理和广泛应用的透彻理解。教程部分包括构建基本发电变压器模型的实用指南。此外,本文还讨论了生成模型研究中的挑战、伦理意义和未来方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
From Turing to Transformers: A Comprehensive Review and Tutorial on the Evolution and Applications of Generative Transformer Models
In recent years, generative transformers have become increasingly prevalent in the field of artificial intelligence, especially within the scope of natural language processing. This paper provides a comprehensive overview of these models, beginning with the foundational theories introduced by Alan Turing and extending to contemporary generative transformer architectures. The manuscript serves as a review, historical account, and tutorial, aiming to offer a thorough understanding of the models’ importance, underlying principles, and wide-ranging applications. The tutorial section includes a practical guide for constructing a basic generative transformer model. Additionally, the paper addresses the challenges, ethical implications, and future directions in the study of generative models.
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Sci
Sci
CiteScore
4.50
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