A Survey of Generative AI Applications
- 1 Department of Quantitative Methods, Universidad Pontificia Comillas, Madrid, Spain
Abstract
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.
DOI: https://doi.org/10.3844/jcssp.2024.801.818
Copyright: © 2024 Roberto Gozalo-Brizuela and Eduardo Eduardo Garrido Merchan. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
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Keywords
- Artificial Intelligence
- AI
- Generative AI
- Machine Learning and Deep Learning