I WONDER - What Does AI Do?

The video explains how AI systems recognize patterns and make predictions by being trained on large datasets. This training process, known as machine learning, involves feeding the AI with data such as images or audio recordings to teach it pattern recognition. The more data the AI is exposed to, the more accurate it becomes in its predictions.

Explain the relationship between data and predictions made by AI systems.

What is the process of training AI systems using large amounts of data called?

What types of data can be used to train AI systems?

How does the amount of data affect the accuracy of an AI system?

What is the significance of recognizing patterns in data for AI systems?