Keywords
Innovación docente y Analytics (GIIDA), ., Artificial Intelligence, AI, Generative AI, Machine Learning and Deep Learning
A Survey of Generative AI Applications
Abstract
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Generative AI has experienced remarkable growth in recent years, leading to a wide array of applications across diverse domains. In this study, we present a comprehensive survey of more than 350 generative AI applications, providing a structured taxonomy and concise descriptions of various unimodal and even multimodal generative AIs. The survey is organized into sections, covering a wide range of unimodal generative AI applications such as text (ChatGPT or Bard), images (DALL-E 3 or Midjourney), video (Colossyan AI and Synthesia AI), gaming (CSM and ConvAI) and brain (Meta’s speech from brain) information. Our survey provides an updated outlook of the generative AGI landscape, giving several examples of each technology, something not achieved in a paper before to our knowledge. Other surveys have focused on reviewing the impact of generative on different industries while not diving deep into which technologies or models to use. A thorough web and industry analysis was conducted to get examples for each of the sections. Ethical considerations were followed for the composition of this study.
Generative AI has experienced remarkable growth in recent years, leading to a wide array of applications across diverse domains. In this study, we present a comprehensive survey of more than 350 generative AI applications, providing a structured taxonomy and concise descriptions of various unimodal and even multimodal generative AIs. The survey is organized into sections, covering a wide range of unimodal generative AI applications such as text (ChatGPT or Bard), images (DALL-E 3 or Midjourney), video (Colossyan AI and Synthesia AI), gaming (CSM and ConvAI) and brain (Meta’s speech from brain) information. Our survey provides an updated outlook of the generative AGI landscape, giving several examples of each technology, something not achieved in a paper before to our knowledge. Other surveys have focused on reviewing the impact of generative on different industries while not diving deep into which technologies or models to use. A thorough web and industry analysis was conducted to get examples for each of the sections. Ethical considerations were followed for the composition of this study.
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Materias, derechos, colecciones e identificadores
URI / Handle
https://doi.org/10.3844/jcssp.2024.801.818Rights
Creative Commons Reconocimiento-NoComercial-SinObraDerivada España