The name describes the underlying method: a transformer model that is pre-trained to predict text at scale, then further trained (fine-tuning, RLHF) to follow instructions. Successive GPT generations have added longer context, multimodal input, and stronger reasoning; "GPT" is now also used loosely for other labs' similarly-trained transformer models.