Generative artificial intelligence: a systematic review and applications

In recent years, the study of artificial intelligence (AI) has undergone a paradigm shift. This has been propelled by the groundbreaking capabilities of generative models both in supervised and unsupervised learning scenarios. Generative AI has shown state-of-the-art performance in solving perplexin...

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Vydané v:	Multimedia tools and applications Ročník 84; číslo 21; s. 23661 - 23700
Hlavní autori:	Sengar, Sandeep Singh, Hasan, Affan Bin, Kumar, Sanjay, Carroll, Fiona
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.06.2025 Springer Nature B.V
Predmet:	Architecture Computer Communication Networks Computer Science Data Structures and Information Theory Datasets Diffusion models Generative artificial intelligence Language Large language models Machine learning Multimedia Information Systems Natural language processing Special Purpose and Application-Based Systems Systematic review Track 6: Computer Vision for Multimedia Applications Unsupervised learning Variational autoencoder Generative adversarial networks Transformers Segmentation Diffusion Generative artificial intelligence
ISSN:	1573-7721, 1380-7501, 1573-7721
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