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  2. ChatGPT - Wikipedia

    en.wikipedia.org/wiki/ChatGPT

    In May 2024, OpenAI released GPT-4o ("o" for "Omni"), a model capable of analyzing and generating text, images, and sound. GPT-4o is twice as fast and costs half as much as GPT-4 Turbo. GPT-4o is free to all users within a usage limit, despite being more capable than the older model GPT-4, which is only available through paid subscriptions.

  3. Generative artificial intelligence - Wikipedia

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

    e. 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 ...

  4. DALL-E - Wikipedia

    en.wikipedia.org/wiki/DALL-E

    DALL·E's model is a multimodal implementation of GPT-3 [22] with 12 billion parameters [5] which "swaps text for pixels," trained on text–image pairs from the Internet. [23] In detail, the input to the Transformer model is a sequence of tokenized image caption followed by tokenized image patches.

  5. Artificial intelligence art - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence_art

    Artificial intelligence art is 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. Generative pre-trained transformer - Wikipedia

    en.wikipedia.org/wiki/Generative_pre-trained...

    Generative pretraining (GP) was a long-established concept in machine learning applications. It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.

  7. DeepDream - Wikipedia

    en.wikipedia.org/wiki/DeepDream

    DeepDream is a computer vision program created by Google engineer Alexander Mordvintsev that uses a convolutional neural network to find and enhance patterns in images via algorithmic pareidolia, thus creating a dream -like appearance reminiscent of a psychedelic experience in the deliberately overprocessed images.

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