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  2. Generative artificial intelligence - Wikipedia

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

    Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...

  3. CSU unveils massive venture to provide free AI tools and ...

    www.aol.com/news/csu-unveils-massive-venture...

    With generative AI's ability to create new content learned from training data, CSU is working to ensure students in the nation's largest and most diverse public university system have equitable ...

  4. Template:Generative AI - Wikipedia

    en.wikipedia.org/wiki/Template:Generative_AI

    Template documentation This template's initial visibility currently defaults to autocollapse , meaning that if there is another collapsible item on the page (a navbox, sidebar , or table with the collapsible attribute ), it is hidden apart from its title bar; if not, it is fully visible.

  5. Microsoft Copilot - Wikipedia

    en.wikipedia.org/wiki/Microsoft_Copilot

    Microsoft Copilot is a generative artificial intelligence chatbot developed by Microsoft. Based on the GPT-4 series of large language models , it was launched in 2023 as Microsoft's primary replacement for the discontinued Cortana .

  6. New Dataiku Stories Empowers Anyone To Transform Trusted Data ...

    lite.aol.com/tech/story/0022/20241211/9317694.htm

    NEW YORK, NY, Dec. 11, 2024 (GLOBE NEWSWIRE) -- Dataiku, the Universal AI Platform, today announced the launch of Dataiku Stories, a Generative AI-powered data storytelling solution that enables virtually any business user to quickly and easily generate insights and transform company data into visual presentations on their own. Dataiku Stories ...

  7. Generative pre-trained transformer - Wikipedia

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

    Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] 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.

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