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Generative Large Language Models Explained

delete2024-11-01
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PRE
AI
X
Xueming Yan
Y
Yan Xiao
Y
Yaochu Jin *
DOI:10.1109/MCI.2024.3431454delete
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Abstract

Abstract

En 中文
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.
Keywords:
Training data
Adaptation models
Large language models
Reinforcement learning
Chatbots
Prompt engineering
Natural language processing
Explainable AI

Journal

IEEE Computational Intelligence Magazine cover
IEEE Computational Intelligence Magazine
IF:
11.2
Papers:
606
Citations:
3.1K

Organization

S
Shanghai Maritime University
Scholars:
4.8K
Papers: 4.2K
Citations: 4.7K
G
Guangdong University of Foreign Studies
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1.3K
Papers: 1.4K
Citations: 1.5K
W
westlake university
Scholars:
5.3K
Papers: 3.7K
Citations: 8
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