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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 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 ...

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

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

    Sora is an upcoming generative artificial intelligence model developed by OpenAI, that specializes in text-to-video generation. The model accepts textual descriptions, known as prompts, from users and generates short video clips corresponding to those descriptions. Prompts can specify artistic styles, fantastical imagery, or real-world scenarios.

  4. AI: When a Robot Writes a Play - Wikipedia

    en.wikipedia.org/wiki/AI:_When_a_Robot_Writes_a_Play

    AI: When a Robot Writes a Play. AI: When a Robot Writes a Play (in Czech: AI: Když robot píše hru) is a 2021 experimental theatre play, where 90% of its script was automatically generated by artificial intelligence (the GPT-2 language model ). The play is in Czech language, but an English version of the script also exists.

  5. AI Is Coming for Hollywood's Jobs

    www.aol.com/news/ai-coming-hollywoods-jobs...

    Crafting the arc of a story in a Hollywood script can be as big a part of the task of producing a screenplay as writing the specific lines of dialogue that make up the scenes; screenplay structure ...

  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 uses learning and intelligence to take actions that maximize their chances of achieving defined goals.

  7. Generative pre-trained transformer - Wikipedia

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

    History Initial developments. 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.

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