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Generative artificial intelligence (generative AI, GenAI, [1] or GAI) is a subset of artificial intelligence that uses generative models to produce text, images, videos, or other forms of data. [ 2 ] [ 3 ] [ 4 ] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 5 ] [ 6 ] based on ...
A generative adversarial network (GAN) is a class of machine learning frameworks and a prominent framework for approaching generative artificial intelligence. [1] [2] The concept was initially developed by Ian Goodfellow and his colleagues in June 2014. [3]
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.
This photorealistic image was created using a generative artificial intelligence program called Midjourney. To generate the image, Montana Digital Academy Executive Director Jason Neiffer entered ...
Generative AI is a branch of artificial intelligence that involves machines creating content — such as text, images or videos — based on patterns and information learned from massive datasets.
The history of artificial intelligence is one of an almost sectarian struggle between opposing approaches to solving the challenge of creating machines that could learn and “think” like people ...
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