Technical GlossaryDeep Learning
Post-Norm Transformer
The classical Transformer variant that applies normalization after the attention or FFN block.
The post-norm Transformer reflects the arrangement used in the original Transformer design. While it works well in some tasks, it can introduce optimization-stability challenges in very deep models. The rise of pre-norm designs made the practical consequences of this difference more visible. Still, comparing the two remains important for understanding architectural behavior.
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