The Forget Gate is a crucial component in Long Short-Term Memory (LSTM) networks, a type of recurrent neural network (RNN) designed to remember long-term dependencies. It decides what information should be discarded or kept from the cell state, using a sigmoid function to output values between 0 and 1, where 0 means 'completely forget' and 1 means 'completely keep'.