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DALL·E, DALL·E 2, and DALL·E 3 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. DALL·E 3 was released natively ...
Stable Diffusion is a deep learning, text-to-image model released in 2022 based on diffusion techniques. The generative artificial intelligence technology is the premier product of Stability AI and is considered to be a part of the ongoing artificial intelligence boom .
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.
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Synthetic media. Synthetic media (also known as AI-generated media, [1] [2] media produced by generative AI, [3] personalized media, personalized content, [4] and colloquially as deepfakes [5]) is a catch-all term for the artificial production, manipulation, and modification of data and media by automated means, especially through the use of ...
Théâtre D'opéra Spatial, an image generated with Midjourney. Generative artificial intelligence ( generative AI, GenAI, [1] or GAI) is artificial intelligence capable of generating text, images, videos, or other data using generative models, [2] often in response to prompts. [3] [4] Generative AI models learn the patterns and structure of ...
June 25, 2024 at 3:41 PM. LONDON (AP) — The troubled artificial intelligence company behind image-generator Stable Diffusion is looking for a reshoot with a new CEO and a surge of investment ...
OpenAI has declined to reveal various technical details and statistics about GPT-4, such as the precise size of the model. Image classification CLIP. Revealed in 2021, CLIP (Contrastive Language–Image Pre-training) is a model that is trained to analyze the semantic similarity between text and images.
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