What defines Generative AI in relation to Machine Learning?

Generative AI is fundamentally characterized by its ability to create new content rather than merely analyzing or classifying existing data. This definition highlights the unique capability of generative models to innovate and produce original outputs, such as images, text, music, or any kind of media, driven by patterns learned from training data. Unlike other approaches in machine learning that might be primarily focused on tasks like classification or regression, generative AI emphasizes the generation of novel, plausible data that resembles the training dataset. This creative aspect is what differentiates generative AI within the broader field of machine learning, where the emphasis is typically on predicting or interpreting existing information rather than generating new possibilities.