Language-based generative AIs use a Large Language Model (LLM) Generative Pre-trained Transformer (GPT). This model uses hundreds of millions of data sources, usually scraped from the Internet, to calculate, predict, and produce a response to a prompt.
GPT does not think or understand like a human. It guesses or predicts the next word in a series of words, similarly to a phone's autocorrect or the autofill in email software.
Image generative AI tools use a combination of large language and diffusion models. These models work together to convert natural language text into "noise" that the diffusion model then translates into an image.
This image was created with DALL-E2, Open AI's image GAIT.
Computer scientist Yejin Choi explains massive artificial intelligence systems like ChatGPT.