Generative AI (GenAI)

Generative AI (GenAI) is a category of artificial intelligence that focuses on creating new content based on patterns learned from existing data, such as text, images, audio files, or code. 

It relies on machine learning techniques to build sophisticated genAI models, the most popular of which are generative adversarial networks (GANs), transformer-based architectures, variational autoencoders (VAEs), and diffusion models. 

These models are trained on large datasets and can generate output that appears to be created by a human. Once trained, the model can take a prompt or input (a text query or an image) and generate the output based on what it has learned. For example, it can return lines of code, write an article, or create an image.