LSTM and GRU are gated RNN variants that use learned gates to control what information to keep, forget, or output, giving them much better long-term memory than vanilla RNNs.

LSTM has forget, input, and output gates around a memory cell. GRU simplifies this to an update gate and a reset gate, making it lighter and faster while still handling long-range dependencies far better than a plain RNN.