Your question is Positional Embeddings Comparison. 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).
What is the difference between using trainable positional embeddings derived from a patch-CNN versus the non-parametric positional embeddings used in the original "Attention is All You Need" paper?