Your question is Transformer Architecture and Speedups. 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).
Explain the transformer architecture, the mathematics behind it, the time complexity of each layer, and how to make it faster.
Asked in the ML Breadth Round stage. Focus on modern deep learning and NLP model internals. Your answer should cover both the core math and the practical inference bottlenecks, including what changes at training time versus serving time.