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  2. Jake Elwes - Wikipedia

    en.wikipedia.org/wiki/Jake_Elwes

    The video artwork uses a neural network trained on 14.2 million images from the ImageNet database to explore “latent space,” a mathematical representation where AI maps learned image categories, such as trees or birds, into specific regions. Once trained, the AI understands all images of trees as existing in one area and all images of birds ...

  3. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    CLIP is a separate model based on contrastive learning that was trained on 400 million pairs of images with text captions scraped from the Internet. Its role is to "understand and rank" DALL-E's output by predicting which caption from a list of 32,768 captions randomly selected from the dataset (of which one was the correct answer) is most ...

  4. Computer vision - Wikipedia

    en.wikipedia.org/wiki/Computer_vision

    In image processing, the input is an image and the output is an image as well, whereas in computer vision, an image or a video is taken as an input and the output could be an enhanced image, an understanding of the content of an image or even behavior of a computer system based on such understanding.

  5. Midjourney - Wikipedia

    en.wikipedia.org/wiki/Midjourney

    Midjourney is a generative artificial intelligence program and service created and hosted by the San Francisco-based independent research lab Midjourney, Inc. Midjourney generates images from natural language descriptions, called prompts, similar to OpenAI's DALL-E and Stability AI's Stable Diffusion. [1] [2] It is one of the technologies of ...

  6. OpenAI head of product shares 5 tips for using ChatGPT - AOL

    www.aol.com/openai-head-product-shares-5...

    OpenAI rolled out its latest AI model, GPT-4o, earlier this year. Many people use ChatGPT to create recipes or write work emails, but OpenAI's Head of Product Nick Turley has some handy tips users ...

  7. Contrastive Language-Image Pre-training - Wikipedia

    en.wikipedia.org/wiki/Contrastive_Language-Image...

    For the CLIP image models, the input images are preprocessed by first dividing each of the R, G, B values of an image by the maximum possible value, so that these values fall between 0 and 1, then subtracting by [0.48145466, 0.4578275, 0.40821073], and dividing by [0.26862954, 0.26130258, 0.27577711].

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