Machine Learning (ML)

• What It Does: Learns from data and improves with time.
  • Examples:
    • Predicting what products you’ll buy next.
    • Spam filters blocking junk emails.

Deep Learning (DL)

• What It Does: A type of Machine Learning that uses neural networks for complex tasks.
  • Examples:
    • Identifying faces on your phone camera.
    • Translating conversations in real time with apps.

Large Language Models (LLMs)

• What It Does: AI trained to understand and generate text.
  • Examples:
    • ChatGPT helping you write an essay or answer a question.
    • AI tools summarizing long reports into key points.

Computer Vision

• What It Does: AI that understands images and videos.
  • Examples:
    • Snapchat’s filters that add dog ears to your selfies.
    • AI in security cameras that detects intruders.

Robotics

• What It Does: Combines AI with machines to perform physical tasks.
  • Examples:
    • Robot vacuum cleaners like Roomba.
    • Delivery drones dropping packages at your doorstep.