Generative artificial intelligence is a branch of AI that focuses on creating or producing new content, such as images, music, or text, through algorithms and machine learning models. Generative AI typically requires user input, like a text prompt, to generate a corresponding output, including text, image, music, or video.

There are many practical applications of generative AI, including writing computer code, creating imagery and video, summarizing reports, analyzing sales data, and serving customers.

Artificial intelligence is broadly defined as machines mimicking human intelligence to perform tasks. Generative AI focuses on creating or producing new content, such as images, music, or text, through algorithms and machine learning models. Generative AI typically requires user input to generate a corresponding output.

Potential key benefits of artificial intelligence include improved efficiency, greater productivity, and enhanced creativity. Limitations include inaccurate information, bias promotion, copyright infringement, and energy consumption.

Businesses and individuals can look for places in their workflows where they could benefit from additional efficiency, productivity, or creativity. Businesses integrating generative AI should review generated results for accuracy, bias, and copyright infringement, while allowing employees to drive concepting and strategy. Individuals can use generative AI tools for work and play while being careful with their personal information.