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.
Authors
- Caixia Wu
- Hui Zhou (ORCID: https://orcid.org/0000-0002-8941-4247)
- Handuo Shi (ORCID: https://orcid.org/0000-0002-1688-6905)
- Guanghui Shen (ORCID: https://orcid.org/0000-0002-5994-9865)
- Xiaodong Zhang (ORCID: https://orcid.org/0009-0004-0934-4528)
Institutions
- Dalian Neusoft University of Information (CN)
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