Overview and prospects for the development of large models

As the hottest technical field at present, the article outlines the three stages of development of language models, pre-trained models and large-scale language model of large models, as well as the classic GPT (Generative Pre-Trained Transformer) and BERT (Bidirectional Encoder Representations from Transformers) series of algorithmic model, introduces the construction process of large models. its self-attention mechanism and the core technology of Transformer, analyses the characteristics of large models, and discusses the limitations and future development direction of large models. The article analyzes the characteristics of large language models, compares relevant technologies, discusses the application prospects, limitations, and future prospects of large language models.

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Publication Details

Published
2025-04-02
DOI
https://doi.org/10.1117/12.3058526
Primary Topic
Model-Driven Software Engineering Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Overview and prospects for the development of large models

Caixia Wu, Hui Zhou, Handuo Shi, Guanghui Shen et al.
Model-Driven Software Engineering Techniques
article

Overview and prospects for the development of large models

Caixia Wu, Hui Zhou, Handuo Shi, Guanghui Shen, Xiaodong Zhang
article en

Abstract

As the hottest technical field at present, the article outlines the three stages of development of language models, pre-trained models and large-scale language model of large models, as well as the classic GPT (Generative Pre-Trained Transformer) and BERT (Bidirectional Encoder Representations from Transformers) series of algorithmic model, introduces the construction process of large models. its self-attention mechanism and the core technology of Transformer, analyses the characteristics of large models, and discusses the limitations and future development direction of large models. The article analyzes the characteristics of large language models, compares relevant technologies, discusses the application prospects, limitations, and future prospects of large language models.

Dalian Neusoft University of Information (CN)
Openalex Percentile: Top 94%
Model-Driven Software Engineering Techniques
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