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  2. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    e. 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.

  3. Ideogram (text-to-image model) - Wikipedia

    en.wikipedia.org/wiki/Ideogram_(generative_AI_site)

    Ideogram is a freemium text-to-image model developed by Ideogram, Inc. using deep learning methodologies to generate digital images from natural language descriptions known as "prompts". The model is capable of generating legible text in the images compared to other text-to-image models. [1]

  4. Claude (language model) - Wikipedia

    en.wikipedia.org/wiki/Claude_(language_model)

    Claude. Claude was the initial version of Anthropic's language model released in March 2023, [8] Claude demonstrated proficiency in various tasks but had certain limitations in coding, math, and reasoning capabilities. [9] Anthropic partnered with companies like Notion (productivity software) and Quora (to help develop the Poe chatbot).

  5. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Artificial intelligence. 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 their input training data and then generate ...

  6. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    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 ...

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