Model Parameters

Parameters are the adjustable "knobs" inside an AI model, the numerical values it learns during training. A large frontier model (the GPT, Claude, or Gemini flagships) can have trillions of parameters, each capturing patterns from the training data. Together, they determine how the model predicts, generates, and reasons. More parameters usually mean more capability but also higher computational cost.