The conversation between human and AI assistant.
What is meant by overfitting?
How about early stopping?
Early stopping is a technique where we monitor the performance of our model on a validation set during training, and stop the training early if the model's performance starts to degrade. This helps to prevent overfitting by not allowing the model to memorize the noise in the training data for too long.