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  2. Category:Artificial intelligence templates - Wikipedia

    en.wikipedia.org/wiki/Category:Artificial...

    [[Category:Artificial intelligence templates]] to the <includeonly> section at the bottom of that page. Otherwise, add <noinclude>[[Category:Artificial intelligence templates]]</noinclude> to the end of the template code, making sure it starts on the same line as the code's last character.

  3. Template:Artificial intelligence/doc - Wikipedia

    en.wikipedia.org/wiki/Template:Artificial...

    This is a documentation subpage for Template:Artificial intelligence. It may contain usage information, categories and other content that is not part of the original template page. For the navbox template, see Template:Artificial intelligence navbox .

  4. Template:Machine learning - Wikipedia

    en.wikipedia.org/wiki/Template:Machine_learning

    Main page; Contents; Current events; Random article; About Wikipedia; Contact us

  5. Template:AI-generated - Wikipedia

    en.wikipedia.org/wiki/Template:AI-generated

    See a monthly parameter usage report for Template:AI-generated in articles based on its TemplateData. TemplateData for AI-generated This tag is intended to identify articles that need extensive examination because they appear to have been generated using a large language model without rigorous scrutiny.

  6. Artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Artificial_intelligence

    Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]

  7. CALO - Wikipedia

    en.wikipedia.org/wiki/CALO

    CALO assists its user with six high-level functions: Organizing and Prioritizing Information: As the user works with email, appointments, web pages, files, and so forth, CALO uses machine learning algorithms to build a queryable model of who works on which projects, what role they play, how important they are, how documents and deliverables are related to this, etc.

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