Generative artificial intelligence (Generative AI, or GenAI) is a subfield of artificial intelligence that uses generative models to generate text, images, videos, audio, software code or other forms of data. [2][3] These models learn the underlying patterns and structures of their training data and use them to produce new data [4][5] in ...
Other signs of data art are also apparent amongst pioneers of generative art, an artistic form calling upon computer-generated creation via algorithms and computer language.
What is generative AI? Generative AI, commonly called GenAI, allows users to input a variety of prompts to generate new content, such as text, images, videos, sounds, code, 3D designs, and other media.
Generative AI, sometimes called gen AI, is artificial intelligence (AI) that can create original content such as text, images, video, audio or software code in response to a user’s prompt or request.
Generative AI refers to a class of AI systems that are designed to create new content, such as text, images, music, or videos, by learning patterns from existing data.
These tasks can include understanding language, recognizing patterns, solving problems, and making decisions. Traditional artificial intelligence (AI) often focuses on analyzing data or making predictions. Generative AI (GenAI) is a category of AI systems designed to create new content, such as text, images, music, and more.
Generative AI can be thought of as a machine-learning model that is trained to create new data, rather than making a prediction about a specific dataset. A generative AI system is one that learns to generate more objects that look like the data it was trained on.
