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  2. 3D modeling - Wikipedia

    en.wikipedia.org/wiki/3D_modeling

    The 3D model can be physically created using 3D printing devices that form 2D layers of the model with three-dimensional material, one layer at a time. Without a 3D model, a 3D print is not possible. 3D modeling software is a class of 3D computer graphics software used to produce 3D models. Individual programs of this class are called modeling ...

  3. 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]

  4. Blender (software) - Wikipedia

    en.wikipedia.org/wiki/Blender_(software)

    Blender is a free and open-source 3D computer graphics software tool set that runs on Windows, macOS, BSD, Haiku, IRIX and Linux. It is used for creating animated films, visual effects, art, 3D-printed models, motion graphics, interactive 3D applications, and virtual reality. It is also used in creating video games.

  5. Utah teapot - Wikipedia

    en.wikipedia.org/wiki/Utah_teapot

    Through 3D printing, the Utah Teapot has come full circle from being a computer model based on an actual teapot to being an actual teapot based on the computer model. It is widely available in many renderings in different materials from small plastic knick-knacks to a fully functional ceramic teapot.

  6. Unity (game engine) - Wikipedia

    en.wikipedia.org/wiki/Unity_(game_engine)

    The Unity engine was also used by Disney to create backgrounds for the 2019 film The Lion King. [133] Automakers use Unity's technology to create full-scale models of new vehicles in virtual reality, build virtual assembly lines, and train workers. [131] Unity is also developing solutions in the fields of architecture, engineering, and ...

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  8. 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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