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Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [2] These models often generate output in response to specific prompts.
DALL·E, DALL·E 2, and DALL·E 3 (pronounced DOLL-E) are text-to-image models developed by OpenAI using deep learning methodologies to generate digital images from natural language descriptions known as "prompts". The first version of DALL-E was announced in January 2021. In the following year, its successor DALL-E 2 was released.
A flow-based generative model is a generative model used in machine learning that explicitly models a probability distribution by leveraging normalizing flow, [1][2][3] which is a statistical method using the change-of-variable law of probabilities to transform a simple distribution into a complex one.
An image generated with DALL-E 2 based on the text prompt "1960's art of cow getting abducted by UFO in midwest". Artificial intelligence art is visual artwork created through the use of an artificial intelligence (AI) program. [1] Artists began to create artificial intelligence art in the mid to late 20th century, when the discipline was founded.
Windows, OS X, Linux, Unix. Type. Diagramming software. License. GPL-2.0-or-later. Website. GNOME Apps. Dia (/ ˈdiːə /) [3] is free and open source general-purpose diagramming software, developed originally by Alexander Larsson. [1] It uses a controlled single document interface (SDI) similar to GIMP and Inkscape.
Website. www.drawio.com. diagrams.net (previously draw.io[2][3]) is a cross-platform graph drawing software application developed in HTML5 and JavaScript. [4] Its interface can be used to create diagrams such as flowcharts, wireframes, UML diagrams, organizational charts, and network diagrams. [5]
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