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Understanding Transformers Part 9: Stacking Self-Attention Layers
DEV.to AIΒ·April 17, 2026
This article explains why self-attention values replace original positional encodings, as they integrate contextual information from all words, clarifying relationships. It then introduces stacking multiple self-attention layers, each with unique weights, to capture more complex linguistic relationships within sentences and paragraphs.
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