Welcome to your interview.
The question is on your right: Compare CNNs, RNNs, and Transformers. Take a moment with it first.
Talk your thinking through with me if you like - when you're confident, submit your answer and I'll grade it like a real screen (7/10 or better passes). Discussion and graded submissions share your five interviewer interactions, so spend them well.
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?