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A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description. Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom, as a result of advances in deep neural networks. In 2022, the output of state-of-the-art text-to ...
This template will add pages on which it is used to a dated subcategory of Category:Articles containing suspected AI-generated images. See also. AI-generated}} - a banner for entire articles or sections {{AI generated notification}} - for article talk pages {{AI generated sources}} - for if the cited sources may be AI generated
In addition to business card software, many printing firms now offer a web-to-print service, which allows the customer to choose from a selection of stock design templates, customize online using their own logos and imagery, select quantities, view pricing options and request them for delivery to home or business addresses.
2D computer graphics is the computer-based generation of digital images —mostly from two-dimensional models (such as 2D geometric models, text, and digital images) and by techniques specific to them. It may refer to the branch of computer science that comprises such techniques or to the models themselves. Raster graphic sprites (left) and masks.
Generative AI systems trained on words or word tokens include GPT-3, GPT-4, GPT-4o, LaMDA, LLaMA, BLOOM, Gemini and others (see List of large language models). They are capable of natural language processing, machine translation, and natural language generation and can be used as foundation models for other tasks. [43]
e. Word2vec is a technique in natural language processing (NLP) for obtaining vector representations of words. These vectors capture information about the meaning of the word based on the surrounding words. The word2vec algorithm estimates these representations by modeling text in a large corpus. Once trained, such a model can detect synonymous ...
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