Generative Large Language Models Explained [AI-eXplained]
Large Language Models (LLMs) such as OpenAI’s ChatGPT have achieved surprisingly huge progresses in the field of Natural Language Processing (NLP). This paper aims to present an immersive introduction to LLMs from the perspective of generative models. The main components of the training process of LLMs are explained, and an example of LLMs for AI-generated contents is given. This short paper is a summary of the interactive full paper online available at IEEE Xplore, in which detailed examples interactively demonstrate the training and working mechanisms of LLMs.
Authors
- Xueming Yan
- Yaochu Jin (ORCID: https://orcid.org/0000-0003-1100-0631)
- Yan Xiao (ORCID: https://orcid.org/0000-0001-9966-4840)
Institutions
- Guangdong University of Foreign Studies (CN)
- Westlake University (CN)
- Shanghai Maritime University (CN)
Publication Details
- Journal
- IEEE Computational Intelligence Magazine
- Published
- 2024-10-08
- DOI
- https://doi.org/10.1109/mci.2024.3431454
- Citations
- 6
- Primary Topic
- Topic Modeling
- Type
- article
- Field-Weighted Citation Impact
- 2.08
Funders
- National Natural Science Foundation of China