You are developing a chatbot that needs to understand and generate responses based on user input. Which characteristic of Recurrent Neural Networks (RNNs) makes them particularly suitable for this task?

Recurrent Neural Networks keep a hidden state that updates as each word in a sentence is read, so they remember what was said before and can use that memory to decide the next word. This means they can model how meaning changes over time, which is essential for understanding a user’s message and producing a relevant reply. Because the state carries information from earlier words, the network can keep track of context like “I was looking for a flight to Paris” and then answer “Sure, what dates are you considering? ” Instead of treating words as independent, the RNN treats them as a chain, making it a natural fit for dialogue. Thus, the sequence‑aware hidden state is the key feature that makes RNNs ideal for chatbots.