Year: 2024
Type: article
Abstract: Generative AI (GAI) is a rapidly growing field with a wide range of applications. In recent years, the study of artificial intelligence (AI) has undergone a paradigm shift. This has been fuelled by the revolutionary potential of generative models in both supervised and unsupervised learning settings. Generative AI has shown state-of-the-art performance in handling challenging real-world issues in fields including image translation, medical diagnostics, textual imagery fusion, natural language processing, and more. This paper offers an extensive assessment and analysis of recent advancements and approaches in generative artificial intelligence, along with a detailed description of their applications, including models tailored to particular applications and future directions. The study also highlights how important it is to address privacy and data security concerns in GAI and responsible use
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4405655812