Your question is Explain Attention in 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 discussing transformer basics in the context of building LLM-powered features. A teammate asks why transformers can relate one token to another even when they are far apart in the sequence.
How do attention mechanisms work in transformer architectures?