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Introduction

Artificial Intelligence is the broad field of building systems that can perform tasks normally requiring human intelligence. Machine Learning is a subset of AI that learns from data, while Deep Learning is a more advanced form of ML that uses neural networks. Generative AI is a specialized branch of deep learning focused on creating new content such as text, images, and code.

The relationship between these areas is shown below:

Relationship between AI, ML, DL, and GenAI

Artificial Intelligence​

AI is the broad field of creating systems that can do tasks that usually need human intelligence, such as seeing, understanding, learning, solving problems, and making decisions. It is an umbrella term that includes methods like machine learning, deep learning, and generative AI.

Machine Learning​

Machine learning is a part of AI where systems learn from data and improve over time. Instead of being told every step, the computer finds patterns in the data and uses them to perform tasks better.

Deep Learning​

Deep learning is a more advanced form of machine learning. It uses layered artificial neural networks inspired by the human brain. This helps computers process large amounts of data, such as images and videos, very quickly. For example, Amazon Rekognition can analyze millions of images and video files in seconds.

Generative AI (GenAI)​

Generative AI is a type of deep learning that uses trained models to create new content based on patterns it has learned. It can produce text, images, code, and other data without starting the full training process again for each new task.

Let's look at each one of these broadly.