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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 ...
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 ...
The new generative models introduced during this period allowed for large neural networks to be trained using unsupervised learning or semi-supervised learning, rather than the supervised learning typical of discriminative models. Unsupervised learning removed the need for humans to manually label data, allowing for larger networks to be ...
Machine learning (ML) is a field of study in artificial intelligence concerned with the development and study of statistical algorithms that can learn from data and generalize to unseen data, and thus perform tasks without explicit instructions. [1]
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
A foundation model, also known as large X model (LxM), is a machine learning or deep learning model that is trained on vast datasets so it can be applied across a wide range of use cases. [1] Generative AI applications like Large Language Models are often examples of foundation models.
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 .
A large language model (LLM) is a type of machine learning model designed for natural language processing tasks such as language generation. As language models , LLMs acquire these abilities by learning statistical relationships from vast amounts of text during a self-supervised and semi-supervised training process.