Transformer Models Can Work Without Normalization Layers
Transformer models can work without normalization layers when properly initialized, simplifying models and potentially improving efficiency.
This is a Plain English Papers summary of a research paper called Simpler, Faster AI: Transformer Models Can Work Without Normalization Layers, Study Shows. If you like these kinds of analysis, you should join AImodels.fyi or follow us on Twitter. Overview Transformer models typically rely on normalization layers for stability This paper shows transformers can work without these layers when properly initialized ResNets can already operate without normalization The key is controlling output variance through careful initialization Removing normalization simplifies models and may improv...