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  2. Generative artificial intelligence - Wikipedia

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

    Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office (Microsoft Copilot), [73] Google Photos, [74] and the Adobe Suite (Adobe Firefly). [75] Many generative AI models are also available as open-source software, including Stable Diffusion and the LLaMA [76] language model.

  3. Text-to-image model - Wikipedia

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

    An image conditioned on the prompt an astronaut riding a horse, by Hiroshige, generated by Stable Diffusion 3.5, a large-scale text-to-image model first released in 2022. A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description.

  4. AI in education - Wikipedia

    en.wikipedia.org/wiki/AI_in_education

    Ai is not an emerging technology, but an “arrival technology” [52] Ai appears to understand instructions and can generate human-like responses. [53] Behaving as a companion for many in a lonely and alienated world. [54] While also creating a “jagged technology frontier”, [55] where Ai is both very good and terribly bad at very similar ...

  5. Google researchers claim new breakthrough in getting AI to ...

    www.aol.com/finance/google-researchers-claim...

    The news was an advancement on a system that the AI research lab had unveiled in January, called AlphaGeometry, that could solve geometry problems from the IMO about as well as top high school ...

  6. Sora (text-to-video model) - Wikipedia

    en.wikipedia.org/wiki/Sora_(text-to-video_model)

    Several other text-to-video generating models had been created prior to Sora, including Meta's Make-A-Video, Runway's Gen-2, and Google's Lumiere, the last of which, as of February 2024, is also still in its research phase. [3]

  7. QANDA - Wikipedia

    en.wikipedia.org/wiki/QANDA

    QANDA (stands for 'Q and A') is an AI-based learning platform developed by Mathpresso Inc., a South Korea-based education technology company. Its best known feature is a solution search, which uses optical character recognition technology to scan problems and provide step-by-step solutions and learning content.

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