The log-link function is a transformation used in generalized linear models (GLMs) to relate the linear predictor to the mean of the response variable, particularly when the response is strictly positive and follows a distribution like the Poisson or Gamma. It ensures that the predicted values are positive by applying the natural logarithm, making it especially useful in modeling count data or other data with a positive range.