What are the key advantages of using LSTMs or GRUs over basic RNNs when handling long sequences?

The key advantages of using LSTMs (Long Short-Term Memory) or GRUs (Gated Recurrent Units) over basic RNNs (Recurrent Neural Networks) when handling long sequences are their ability to mitigate the vanishing gradient problem and capture long-range dependencies. Basic RNNs struggle with long sequences because the gradients used to update the network's weights can diminish exponentially as they are backpropagated through time. This makes it difficult for the network to learn relationships between words or events that are far ap....