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  1. AI - C3.ai, Inc.

    Yahoo Finance

    29.57+1.000 (+3.50%)

    at Fri, May 31, 2024, 4:00PM EDT - U.S. markets closed

    Nasdaq Real Time Price

    • Open 28.80
    • High 30.00
    • Low 27.58
    • Prev. Close 28.57
    • 52 Wk. High 48.87
    • 52 Wk. Low 20.23
    • P/E N/A
    • Mkt. Cap 3.66B
  2. Results from the Go Local Guru Content Network
  3. 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 ...

  4. Wikipedia:Stub - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Stub

    A stub is an article that, although lacking the breadth of coverage expected from an encyclopedia, provides some useful information and is capable of expansion. Non-article pages, such as disambiguation pages, lists, categories, templates, talk pages, and redirects, are not regarded as stubs. If a stub has little verifiable information, or if ...

  5. Artificial intelligence art - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_art

    Artificial intelligence art is any 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. Throughout its history, artificial intelligence art has raised many philosophical concerns related to the ...

  6. Google says its AI image-generator would sometimes ... - AOL

    www.aol.com/news/google-says-ai-image-generator...

    MATT O'BRIEN. February 23, 2024 at 2:50 PM. Google apologized Friday for its faulty rollout of a new artificial intelligence image-generator, acknowledging that in some cases the tool would ...

  7. Stable Diffusion - Wikipedia

    en.wikipedia.org/wiki/Stable_Diffusion

    Stable Diffusion is a latent diffusion model, a kind of deep generative artificial neural network. Its code and model weights have been released publicly, [8] and it can run on most consumer hardware equipped with a modest GPU with at least 4 GB VRAM.

  8. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    DALL·E 2 uses a diffusion model conditioned on CLIP image embeddings, which, during inference, are generated from CLIP text embeddings by a prior model. Contrastive Language-Image Pre-training (CLIP) Contrastive Language-Image Pre-training is a technique for training a pair of models. One model takes in a piece of text and outputs a single vector.

  9. Generative artificial intelligence - Wikipedia

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

    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 new data that has ...

  10. Category:Artificial intelligence stubs - Wikipedia

    en.wikipedia.org/wiki/Category:Artificial...

    Zyro. Categories: Artificial intelligence. Stub categories. Computer science stubs. Futures studies stubs. Hidden categories: Template Category TOC via CatAutoTOC on category with 101–200 pages. CatAutoTOC generates standard Category TOC.

  11. Wikipedia:Article creation - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Article_creation

    v. t. e. Article creation is the process by which new articles are started, titled, formed, stubbed, categorized, and developed. See Help:Your first article. You may also wish to consider using a Wizard to help you create articles — see the Article Wizard. Note: The ability to create articles directly in mainspace is restricted to ...

  12. Deepfake - Wikipedia

    en.wikipedia.org/wiki/Deepfake

    The generator creates new images from the latent representation of the source material, while the discriminator attempts to determine whether or not the image is generated. This causes the generator to create images that mimic reality extremely well as any defects would be caught by the discriminator.

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