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How does AI work?

AI works by learning from data. Just like people learn through experience, AI systems learn by processing large amounts of information and spotting patterns.

Here’s a simple breakdown of how it works:

  1. Data – The AI is fed a huge amount of data (text, images, numbers, etc.).

  2. Training – It uses that data to learn rules, patterns, and relationships. This process is often called machine learning.

  3. Prediction or Action – Once trained, the AI can make decisions, give answers, or perform tasks based on new inputs.

  4. Feedback loop – Some systems improve over time by learning from their mistakes or new data.

For example, a chatbot learns how to respond to questions by studying millions of conversations. A photo recognition AI learns to spot cats by analysing thousands of labelled images.

The more data and training it has, the smarter and more accurate the AI becomes.