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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 ...
When training a machine learning model, machine learning engineers need to target and collect a large and representative sample of data. Data from the training set can be as varied as a corpus of text , a collection of images, sensor data, and data collected from individual users of a service.
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]
Since its inception, the field of machine learning used both discriminative models and generative models, to model and predict data. Beginning in the late 2000s, the emergence of deep learning drove progress and research in image classification , speech recognition , natural language processing and other tasks.
In 1971 Henri Gouraud made the first CG geometry capture and representation of a human face. Modeling was his wife Sylvie Gouraud. The 3D model was a simple wire-frame model and he applied the Gouraud shader he is most known for to produce the first known representation of human-likeness on computer.
A model is an informative representation of an object, person or system, and serves as a substitute for the original. For example: Machine learning model, a type of a mathematical model of reality in the context of machine learning; Model (person), a human representing, or to be imitated by, other humans, e.g. in art or commercial advertising
Shamook, then, created a 180 degree facial profile that he fed into a machine learning piece of software (DeepFaceLab), along with Tom Hanks' face from Forrest Gump. [272] The humor and irony of this deepfake traces back to 2007 when John Travolta revealed he turned down the chance to play the lead role in Forrest Gump because he had said yes ...
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 .