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  2. Wikipedia:Removal of non-free images - Wikipedia

    en.wikipedia.org/wiki/Wikipedia:Removal_of_non...

    The ninth item of Wikipedia’s policy for non-free content states that non-free images should only be used in the article namespace (not disambiguation pages), and goes further into the underlying reasons for the policy.

  3. Applications of artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Applications_of_artificial...

    Get shortened URL; Download QR code ... (Learn how and when to remove these template ... it was revealed Netflix of Japan was using AI to generate background images ...

  4. 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 similar characteristics. [5] [6]

  5. New deepfake bill would require Big Tech to police and remove ...

    www.aol.com/news/deepfake-bill-require-big-tech...

    Lawmakers on Capitol Hill are scrambling to address the boom in deepfake AI pornographic images, which have targeted everyone from celebrities to high school students.

  6. Enable or block images in AOL Mail

    help.aol.com/articles/enable-or-block-images-in...

    Choose whether or not to display images in AOL Mail. While the default setting is to show all images except for those in spam emails, turning the setting off can increase the privacy and security of your account by disabling potentially malicious images and content.

  7. Transformer (deep learning architecture) - Wikipedia

    en.wikipedia.org/wiki/Transformer_(deep_learning...

    A transformer is a deep learning architecture developed by Google and based on the multi-head attention mechanism, proposed in a 2017 paper " Attention Is All You Need ". [1] Text is converted to numerical representations called tokens, and each token is converted into a vector via looking up from a word embedding table. [1] At each layer, each token is then contextualized within the scope of ...

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