How does transformer self‑attention work and why is it important?

31 Ağu 00:45

Could someone break down the self‑attention mechanism used in transformer models? I'm especially interested in how the query, key, and value matrices interact to compute attention scores, and why this approach scales better than traditional recurrent architectures. Also, what are the common pitfalls when implementing it from scratch? Would love to hear different perspectives or resources you recommend.