TABLE 1.

Different types of GAI models.

Model	Description	Example applications
Transformer	A type of neural network developed by Google	Machine translation, text generation, question answering
LLM	Type of neural network that is trained on a massive dataset of text	Generation and translation of text, question answering, analysis of sentiment, named entity recognition
GPT	A LLM developed by OpenAI.	Capable of generating and translating languages, writing various unique content, and providing insightful answers to users’ prompts
BERT	A LLM developed by Google AI.	Particularly good at understanding the situation of words in a sentence. It can be used for sentiment analysis, named entity recognition, and question answering
Diffusion model	Type of LLM that is trained on a dataset of images	It can generate new images similar to those in the dataset.
Flow-based model	Type of generative model that explicitly models a probability distribution by leveraging normalizing flow	Image generation, density estimation, anomaly detection