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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] These models learn the underlying patterns and structures of their training data and use them to produce new data [ 3 ] [ 4 ] based on the input ...
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.
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-image models—such as OpenAI's DALL-E 2 , Google Brain 's Imagen , Stability AI's Stable Diffusion , and Midjourney —began to be considered to ...
Artificial intelligence is everywhere. Recent cover songs, résumés, web design, animation, and even voiceovers all have generative AI fingerprints. Creative industries are witnessing a rapid ...
Amazon announced a new family of AI models for text, images and video, called Amazon Nova, that it claimed have “state-of-the-art intelligence” across many tasks, are 75% cheaper than top ...
Nations building artificial intelligence models in their own languages are turning to Nvidia's chips, adding to already booming demand as generative AI takes center stage for businesses and ...
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