generative ai models

Generative AI models are artificial intelligence systems designed to produce new content—such as text, images, audio, or code—by learning patterns from existing data. They use machine learning techniques, especially deep learning architectures (like transformers or diffusion models), to generate outputs that resemble the training data but are not exact copies. Examples include large language models for text generation and image synthesis models that create realistic pictures.