An organization is aiming to develop a chatbot that can generate human-like responses based on the context of the conversation. Which deep learning architecture would be appropriate?

To develop a chatbot that generates human-like responses based on context, a 'Long Short-Term Memory (LSTM)' network is suitable. LSTMs are capable of modeling sequences and are widely used for natural language processing tasks, including chatbot development, due to their ability to capture context in conversations.