What is the difference between a likelihood function and a loss function?

Likelihood function: Used to describe the likelihood of observing the data given the parameters of the model. In statistical inference, it is maximized to find the best parameters.
Loss function: Measures the difference between predicted and true values. It is minimized during model training to improve the model’s accuracy.