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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In 1992, in a small shop in British Columbia, a sign maker named Blair Gran stared at a wall full of half-finished jobs and felt something click. Sign-making was treated like a commodity — orders in, banners out — but as thousands of signs came through his shop, he couldn’t help but notice the difference between the good ones and the bad ones. He could see that every sign that left his shop was either helping a business get noticed, or letting it disappear in plain sight.
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