GPT, or Generative Pre-trained Transformer, is a large-scale natural language generation model developed by OpenAI, based on the Transformer architecture [1] [4]. It uses self-supervised learning, first pre-training on a large amount of unlabeled text data, and then fine-tuning on task-specific data.

AIGC (Artificial Intelligence Generated Content) refers to the production method of using AI to automatically generate content for specific tasks [2] [3]. GPT is a specific implementation of AIGC.

LLM (Large Language Model) is a term used to describe a class of large-scale language models, including GPT [3]. These models are capable of generating human-like text based on the input they receive.

Transformer is a type of neural network architecture used in natural language processing tasks [1] [6]. It was introduced in a paper proposing a deep learning architecture based on a multi-head attention mechanism [8].

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In summary, GPT is a specific implementation of AIGC, which is a type of LLM based on the Transformer architecture. AIGC refers to the production method of using AI to automatically generate content, while LLM refers to a class of large-scale language models capable of generating human-like text. Transformer is a type of neural network architecture used in natural language processing tasks.