Discriminative AI vs. Generative AI

Discriminative Al

The part of (conventional) Al where cutting-edge technology is taking place is called machine learning. All typical machine learning problems are around discriminating.

Main areas:

• Classification (from inputs to classes or categories)

• Regression (from inputs to values)

• Clustering (customer segmentation, recommendation, etc.)

• Dimensionality Reduction (reducing attributes keeping differences)

• Reinforcement learning (learning from experiences, try and error, policy optimization)

• Etc.

Generative AI

• Generating all kind of data (images, 3D, text, music etc.)

• Perform all kinds of data transformations (domain-transfer, style-transfer, human pose estimation, voice cloning, etc.)

• Enrich datasets and improve machine learning models

Generating all kind of data (images, 3D, text, music etc.)