AI models

  • Release version: Zurich
  • Updated March 12, 2026
  • 1 minute to read
  • Explore the AI models in detail with examples.

    An AI model acts as the "brain" of an AI system. It learns from previous data and applies that knowledge to make predictions, respond to questions, or identify patterns. Models are developed using various training techniques, such as:

    • Supervised learning
    • Unsupervised learning
    • Reinforcement learning

    Learning which models power your AI systems is important for monitoring their accuracy, fairness, and potential risks.

    Examples:

    • Spam detection model- Flags emails as spam
    • Language model (like ChatGPT)- Generates text
    • Image model- Recognizes objects in photos
    • Credit model- Predicts who might default on a loan