The four commonly used generative AI (GenAI) applications are:
- Text applications: Creating written content such as essays, articles, poetry, emails, and chat responses. Examples include GPT-based models like ChatGPT.
- Audio applications: Composing music and generating human-like speech for entertainment and communication.
- Conversational applications: Chatbots and virtual assistants that provide real-time conversational interaction and customer support.
- Video/visual applications: Creating images, animations, video content, and visual art from textual descriptions or other inputs. Examples include DALL·E, Midjourney.
These cover the core ways GenAI is utilized across industries to generate original content and enhance user experience through various media types. This is considered the best overarching categorization of the common GenAI applications in use today. Additionally, data augmentation and synthetic data generation are also important but serve more as enabling techniques rather than primary applications. This aligns with the detailed breakdown of generative AI use cases provided by industry sources. So, the best answer is:
- Text generation
- Audio generation
- Conversational agents
- Video/visual content generation
This summary captures the widely recognized four key GenAI applications.
