Generative AI refers to a class of Artificial Intelligence algorithms designed to generate new data samples that are similar to a given training dataset. The goal of generative AI models is to learn the underlying patterns and structures of the data, and then use that knowledge to generate new, synthetic data samples that are similar to the original data.
Generative AI has a wide range of potential applications, including data generation for machine learning, creative applications in art and music, and even for generating new drugs and materials. However, it is still a relatively new field and there are many challenges that need to be addressed, such as controlling the diversity of generated data and ensuring that the generated data is semantically meaningful.