Generative Large Language Models Explained

Xueming Yan

doi:10.1109/MCI.2024.3431454

Generative Large Language Models Explained

2024-11-01

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AI

DOI：10.1109/MCI.2024.3431454

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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.

Keyword:

Training data

Adaptation models

Large language models

Reinforcement learning

Chatbots

Prompt engineering

Natural language processing

Explainable AI

Generative Large Language Models Explained

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