enerative AI refers to a subset of artificial intelligence that uses machine learning algorithms to generate new data, images, text, music, and other forms of content. Unlike traditional AI models that classify data or make predictions, generative AI creates original output based on the patterns it learns from existing data.

At the heart of generative AI are models like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformers such as GPT and DALL-E. These models learn from massive datasets and produce new creations that resemble the original data, but are entirely unique.

enerative AI refers to a subset of artificial intelligence that uses machine learning algorithms to generate new data, images, text, music, and other forms of content. Unlike traditional AI models that classify data or make predictions, generative AI creates original output based on the patterns it learns from existing data.

At the heart of generative AI are models like Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs), and transformers such as GPT and DALL-E. These models learn from massive datasets and produce new creations that resemble the original data, but are entirely unique.