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Self-attention is required. The model must contain at least one self-attention layer. This is the defining feature of a transformer — without it, you have an MLP or RNN, not a transformer.
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Москвичей предупредили о резком похолодании09:45
None of this is wrong. These guarantees matter in the browser where streams cross security boundaries, where cancellation semantics need to be airtight, where you do not control both ends of a pipe. But on the server, when you are piping React Server Components through three transforms at 1KB chunks, the cost adds up.
Step 1: cmdFetchCart returned {