Overview of Large Language Models

This article focuses on typical large language models and conducts an in-depth analysis of their definitions, typical models and the development status of their technologies. As an advanced artificial intelligence technology, large language models are trained based on huge parameters and massive data, and achieve natural language processing with the converter structure as the core. This article elaborates on the developing history and features of various large language models. Meanwhile, it is pointed out that the development of large language model technology faces problems as well as challenges such as non-authentic output and security risks, and in the future, it will develop in the directions of lightweight, multimodal and vertical specialization. The research aims to provide references for the further study and application of large language models and contribute to promoting the healthy development of this technology in various fields.

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Publication Details

Journal
Computer Simulation in Application
Published
2025-03-26
DOI
https://doi.org/10.18063/csa.v3i1.911
Primary Topic
Natural Language Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Overview of Large Language Models

Xiaowei Shen, Hongchao Hu, Yiwei Wei, Jiaxin Li et al.
Computer Simulation in Application
Natural Language Processing Techniques
article

Overview of Large Language Models

Xiaowei Shen, Hongchao Hu, Yiwei Wei, Jiaxin Li, Fang He, Zhengzhong Cha
article en

Abstract

This article focuses on typical large language models and conducts an in-depth analysis of their definitions, typical models and the development status of their technologies. As an advanced artificial intelligence technology, large language models are trained based on huge parameters and massive data, and achieve natural language processing with the converter structure as the core. This article elaborates on the developing history and features of various large language models. Meanwhile, it is pointed out that the development of large language model technology faces problems as well as challenges such as non-authentic output and security risks, and in the future, it will develop in the directions of lightweight, multimodal and vertical specialization. The research aims to provide references for the further study and application of large language models and contribute to promoting the healthy development of this technology in various fields.

Computer Simulation in ApplicationVol. 3(1)
PLA Rocket Force University of Engineering (CN)
Quality Education
Openalex Percentile: Top 89%
Natural Language Processing Techniques
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