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DeepDream is a computer vision program created by Google engineer Alexander Mordvintsev that uses a convolutional neural network to find and enhance patterns in images via algorithmic pareidolia, thus creating a dream -like appearance reminiscent of a psychedelic experience in the deliberately overprocessed images.
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 ...
Custom headers, footers, code coloring, and other CSS styles in individual pages. Project-wide TOC is generated from a user-defined template. Configurable syntax highlighting/coloring with automatic linking to symbols in declaration, ability to manually link to symbols in discussion, etc.
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Within its first three weeks of release, the app was downloaded over 20 million times, [5] and over 100 million clips were created using the app. [2] The sudden boom in deepfake technology has been described as "a cultural tipping point we aren't ready for", [2] as it is now possible to create a deepfake from any picture off social media in a very short amount of time.
DreamBooth is a deep learning generation model used to personalize existing text-to-image models by fine-tuning. It was developed by researchers from Google Research and Boston University in 2022. Originally developed using Google's own Imagen text-to-image model, DreamBooth implementations can be applied to other text-to-image models, where it ...
Some folks consider anything from 150 to 400 square feet a tiny home, while others call their 800- or 1,000-square-foot home “my tiny house.”. One thing fans may agree on is that tiny houses ...
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