Understanding Attention in Transformers Is Much Easier Knowing Which Problem They Solve
The first layer in the original Transformer Architecture creates static input embeddings. These are oblivious to context, but the meaning of words depends on context. Attention is a mechanism on top that takes the static input emeddings and creates contextualized version of the embeddings. submitte…
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- 2026-10-20 13:03 · r/learnmachinelearning
Understanding Attention in Transformers Is Much Easier Knowing Which Problem They Solve