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  2. Dream Machine (text-to-video model) - Wikipedia

    en.wikipedia.org/wiki/Dream_Machine_(text-to...

    Dream Machine is a text-to-video model created by Luma Labs and launched on June 12, 2024. It bases its video output on user-inputted prompts or still images. Dream Machine has been noted for its ability to realistically capture motion, while some critics have remarked upon the lack of transparency about its training data.

  3. Text-to-video model - Wikipedia

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

    A text-to-video model is a machine learning model that takes a natural language description as input and produces a video relevant to the input text. [1] Recent advancements in generating high-quality, text-conditioned videos have largely been driven by the development of video diffusion models. [2]

  4. 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. In 2022, the output of state-of-the-art text-to ...

  5. Prisma Labs - Wikipedia

    en.wikipedia.org/wiki/Prisma_Labs

    Prisma Labs was founded in 2016 by Andrey Usoltsev, Alexey Moiseenkov, and a team of Russian developers. [2] [3] Usoltsev is also the CEO. [3] In 2016, the company launched the Prisma app, which uses artificial intelligence to duplicate photos in various artistic styles. [2] [1] In 2018, the company launched the Lensa AI app, which is a photo ...

  6. 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] [18] 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.

  7. learning-settings, like out-of-school labdays) can be used to explore the potential of video documentations. The - following paper presents the use of video documentation as an ICT learning and diagnostic tool in the out-of-school lab “ELKE”. Based on a qualitative examination, the video documentations give insight into students’ professional

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