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.

The mechanism behind generative AI involves training models on large datasets of text, images, audio, or video so they can learn patterns and relationships. When you provide a prompt, the model uses that knowledge to generate new content, like predicting the next word in text, or refining noise into an image, depending on how the selected generative AI model works.

An example of generative AI is an AI image generator like Adobe Firefly, which can create new images from text prompts or reference photos. Other examples include chatbots that generate text, tools that compose music, or systems that produce video and 3D models.

Adobe Firefly uses advanced models, like diffusion models for images, to transform your text prompts or reference files into new content. How generative AI works in Firefly is it learns patterns from licensed and rights-cleared data, then applies that knowledge to generate images, text effects, and other creative assets that are commercially safe to use.

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. How generative AI works is by 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.