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

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

    Re-captioning is used to augment training data, by using a video-to-text model to create detailed captions on videos. [7] OpenAI trained the model using publicly available videos as well as copyrighted videos licensed for the purpose, but did not reveal the number or the exact source of the videos. [5]

  3. Animated Features Like ‘Transformers One’ and ’Wild Robot ...

    www.aol.com/animated-features-transformers-one...

    While some may use machine learning — a type of AI — in … Animated Features Like ‘Transformers One’ and ’Wild Robot’ and More Rely on Artists for the Magic as Machine Learning or AI ...

  4. Synthetic media - Wikipedia

    en.wikipedia.org/wiki/Synthetic_media

    Synthetic media (also known as AI-generated media, [1] [2] media produced by generative AI, [3] personalized media, personalized content, [4] and colloquially as deepfakes [5]) is a catch-all term for the artificial production, manipulation, and modification of data and media by automated means, especially through the use of artificial intelligence algorithms, such as for the purpose of ...

  5. Text-to-image model - Wikipedia

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

    A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description. Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom , as a result of advances in deep neural networks .

  6. 15 books we can't wait to read: Most anticipated releases of 2025

    www.aol.com/15-books-cant-wait-read-140018897.html

    While we look forward to the start of a fresh year, here are 15 new releases we have our eyes on across genres, including romantasy, literary fiction, memoir, nonfiction and sci-fi. Titles are ...

  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.

  8. Progress in artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Progress_in_artificial...

    AI, like electricity or the steam engine, is a general-purpose technology. There is no consensus on how to characterize which tasks AI tends to excel at. [15] Some versions of Moravec's paradox observe that humans are more likely to outperform machines in areas such as physical dexterity that have been the direct target of natural selection. [16]

  9. The gambling industry's sly new way to suck money from ...

    www.aol.com/gambling-industrys-sly-way-suck...

    Working with major industry players like 888 and Betway, Narrativa uses large language models to pump out everything from automated summaries of sports games to SEO-friendly reviews of online ...