How Generative AI models work exactly?

Generative AI models, like ChatGPT, use neural networks to learn patterns from vast datasets and generate new content (text, images, etc.) by extrapolating from that data.

Generative AI models are built upon artificial neural networks, which are inspired by the structure and function of the human brain. These networks consist of interconnected "neurons" that process and transmit information, with each layer serving a specific purpose in processing information.

These models are trained on massive datasets, such as text, images, or music, allowing them to recognize patterns and features within the data and develop an understanding of the underlying structure.