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Articles on AI workflows, MCP patterns, and what we have learned building Synapse.
What Actually Happens Inside a Transformer Block
Attention gets all the press. But a transformer block is more than attention — there's a feedforward network that holds most of the parameters, two residual connections, and a normalisation design that determines whether large-scale training is stable. Here's all of it, in order.
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