What is the difference between AI and generative AI?

The difference between AI and generative AI is that traditional AI follows specific rules to perform a task, but generative AI creates new content.

The first type of AI included programs that made decisions based on rules (in the same way as a human expert), such as determining a person’s credit score.

A later development, machine learning AI, classifies or predicts outcomes based on patterns. An example of machine learning is Netflix recommendations that are based on your previous viewing habits.

Generative AI tools combine machine learning with natural language processing technology. They learn from underlying patterns and use that information to “decide” what details to include in a paragraph, image, or other output. Examples of generative AI tools that create new content include ChatGPT and Gemini.

Generative AI tools are useful for brainstorming, prewriting, and paraphrasing, but they should never be used for writing entire assignments.

QuillBot’s free AI Detector can help you ensure that the writing you submit for class assignments is based on your own writing voice and ideas.