Your question is Explain Self-Attention Mathematically. 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 with a transformer model and need to explain how self-attention turns token embeddings into contextual representations. The discussion should stay at the level of the math and the tensor operations, not a product or data pipeline.
How would you explain the self-attention mechanism mathematically?