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Generative artificial intelligence ( generative AI, GenAI, [1] or GAI) is artificial intelligence capable of generating text, images, videos, or other data using generative models, [2] often in response to prompts. [3] [4] Generative AI models learn the patterns and structure of their input training data and then generate new data that has ...
History Initial developments. Generative pretraining (GP) was a long-established concept in machine learning applications. 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.
Speech recognition allows traffic controllers to give verbal directions to drones. Artificial intelligence supported design of aircraft, [356] or AIDA, is used to help designers in the process of creating conceptual designs of aircraft. This program allows the designers to focus more on the design itself and less on the design process.
Artificial general intelligence ( AGI) is a type of artificial intelligence (AI) that matches or surpasses human capabilities across a wide range of cognitive tasks. [1] This is in contrast to narrow AI, which is designed for specific tasks. [2] AGI is considered one of various definitions of strong AI .
The history of artificial intelligence ( AI) began in antiquity, with myths, stories and rumors of artificial beings endowed with intelligence or consciousness by master craftsmen. The seeds of modern AI were planted by philosophers who attempted to describe the process of human thinking as the mechanical manipulation of symbols.
California could soon deploy generative artificial intelligence tools to help reduce traffic jams, make roads safer and provide tax guidance, among other things, under new agreements announced ...
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