Artificial Intelligence (AI)

Simple Definition

Artificial intelligence (AI) is the ability of a computer system to perform tasks that normally require human intelligence — things like understanding language, recognizing images, making decisions, and solving problems.

AI is not one single technology. It’s a broad field that includes machine learning, deep learning, natural language processing, computer vision, and more.

AI in Everyday Life

You encounter AI constantly without realizing it:

  • Spam filters that identify junk email
  • Recommendation engines on Netflix or Spotify
  • Navigation apps that predict traffic
  • Face recognition on your phone
  • Chatbots like ChatGPT and Claude

Narrow AI vs. General AI

Almost all AI today is narrow AI — it’s designed to do one specific type of task very well. ChatGPT handles language. Image recognition systems identify photos. They can’t transfer skills across domains.

Artificial General Intelligence (AGI) — AI that can reason and learn across any domain the way humans do — does not yet exist, though it’s an active area of research.

Why AI Has Taken Off

Three factors came together to produce the current AI boom:

  1. More data — the internet generated vast training datasets
  2. Better hardware — GPUs made training large models feasible
  3. Better algorithms — transformer architecture unlocked major capability gains
  • Machine Learning — the technique AI systems use to learn from data
  • Deep Learning — a subset of machine learning using neural networks
  • Generative AI — AI that creates new content like text and images
  • LLM — the type of AI behind ChatGPT, Claude, and Gemini

See AI terms in action

Browse practical AI workflows that use the concepts in this glossary.

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