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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 AI systems are trained on large amounts of data, studying pictures, videos and the way people operate online, Edwards says. These advanced learning machine models can then identify ...
Meta AI (formerly Facebook) also has a generative transformer-based foundational large language model, known as LLaMA. [48] Foundational GPTs can also employ modalities other than text, for input and/or output. GPT-4 is a multi-modal LLM that is capable of processing text and image input (though its output is limited to text). [49]
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 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 future of generative AI is uncertain, but it's here to stay. There is legal uncertainty around AI and its role in licensing and copyrights. In January 2023, three artists filed a lawsuit ...
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