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An image conditioned on the prompt "an astronaut riding a horse, by Hiroshige", generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.
These editors produce more logically structured markup than is typical of WYSIWYG editors, while retaining the advantage in ease of use over hand-coding using a text editor. Lyx (interface to Latex/Tex, via which can convert to/from HTML)
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 learn the underlying patterns and structures of their training data and use them to produce new data [ 3 ] [ 4 ] based on the input ...
T4 Template/Text File: Any text format such as XML, XAML, C# files or just plain text files. Umple: Umple, Java, Javascript, PHP Active Tier Umple code embedding one or more of Java, Python, C++, PHP or Ruby Pure Umple code describing associations, patterns, state machines, etc.
It is a general-purpose learner and its ability to perform the various tasks was a consequence of its general ability to accurately predict the next item in a sequence, [2] [7] which enabled it to translate texts, answer questions about a topic from a text, summarize passages from a larger text, [7] and generate text output on a level sometimes ...
In the 2020s, text-to-image models, which generate images based on prompts, became widely used, marking yet another shift in the creation of AI generated artworks. [ 5 ] In 2021, using the influential large language generative pre-trained transformer models that are used in GPT-2 and GPT-3 , OpenAI released a series of images created with the ...
Content being edited in the Amaya online rich-text editor. An online rich-text editor is the interface for editing rich text within web browsers, which presents the user with a "what-you-see-is-what-you-get" (WYSIWYG) editing area. The aim is to reduce the effort for users trying to express their formatting directly as valid HTML markup.
Emmet (formerly Zen Coding [1]) is a set of plug-ins for text editors that allows for high-speed coding and editing in HTML, XML, XSLT, and other structured code formats via content assist. The project was started by Vadim Makeev in 2008 [ 2 ] and continues to be actively developed by Sergey Chikuyonok and Emmet users.