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01 · Transcript
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transcript
0:12Welcome. Today we'll talk about how attention works in transformers.
0:34Each token attends to every other token, which is what makes the model context-aware.
1:02The query, key, and value vectors are linear projections of the input embedding.
1:28Now, multi-head attention lets the model look at different relationships in parallel.
chat
What's the key idea behind multi-head attention?
The model runs attention several times in parallel, each focusing on different relationships between tokens, then concatenates the results [1:28].
02 · Chat
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