Your question is Regularization to Reduce Overfitting. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You are training a supervised learning model and notice that training performance is much better than validation performance. You want the model to generalize better to unseen data.
How would you regularize a model to reduce overfitting?