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.

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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

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article

Generative Large Language Models Explained [AI-eXplained]

Xueming Yan, Yaochu Jin, Yan Xiao
6 citations
IEEE Computational Intelligence Magazine
Topic Modeling
2.08
article

Generative Large Language Models Explained [AI-eXplained]

Xueming Yan, Yaochu Jin, Yan Xiao
article en
6 citations

Abstract

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.

IEEE Computational Intelligence MagazineVol. 19(4)
Guangdong University of Foreign Studies (CN), Westlake University (CN), Shanghai Maritime University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 11%
Topic Modeling
2.08
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