OpenAI’s artificial intelligence “ChatGPT” is named as such because of the acronym “GPT” which stands for “generative pre-trained transformer”. The generative pre-trained transformer provides the characteristics of any large language model like ChatGPT. The term “generative” refers to an artificial intelligences “ability to generate new content which is similar to the data sets it was trained upon”. The term “pre-trained” refers to the “practice of artificial intelligence models being fine tuned for specific tasks, a pre-training phase in which the large language model learns from a vast amount of text data which helps the model understand language patterns and contexts”. The term “transformer” refers to the transformer architecture which is a “neural network design that relies upon a mechanism referred to as “attention” to weigh the influence of different parts of the input data”. This transformer architecture is particularly effective for tasks which involve understanding the context of language (e.g. language translation or answering questions etc.) which is why artificial intelligence models are able to understand human language in a deep and complex way