What are the key differences between generative AI and traditional AI?

While both are critical and a subset of the same group, these are two separate components that follow different principles and offer distinct applications. Though closely related, they have key differences in the following parameters:

Approach

Generative AI creates new and original content, while traditional AI works according to the set rules and guidelines.

Learning

Generative AI learns from existing content data or unsupervised learning, while traditional AI models use labeled data sets for training or supervised learning.

Usage

Generative AI is used to create new art, designs, music, video, etc., while traditional AI is used to devise solutions, make decisions, and automate tasks.

Adaptability

Generative AI offers high creativity and adaptability as it can instantly create new content and adapt to different data distributions. Traditional AI lacks creativity and adaptability as it does not generate new content or adapt to new situations.

Flexibility

Generative AI is more versatile and flexible, while Traditional AI is highly specialized.

Read the full blog here.