Your question is Compare CNNs, RNNs, and Transformers. Take a moment with it on the right.
Talk me through your thinking if you like. When you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes).
You are working on a text modeling problem and need to choose an architecture for sequence data. The candidate should explain how CNNs, RNNs, and Transformers process text, what each one learns well, and where each tends to break down.
What is the difference between CNNs, RNNs, and Transformers?