RMSNorm: LayerNorm without the mean
Article summary
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Every Transformer you have heard of normalizes its activations somewhere. For years that meant LayerNorm. Since 2019, and pretty much everywhere by now, it means RMSNorm instead. LLaMA, T5, Mistral, Gemma, PaLM all use it. It is the kind of change that sounds like a rounding error and turns out to be in every model. Here is what LayerNorm does to a single token's feature vector. It computes the mean and the variance across the features, subtracts the mean (re-centering), divides by the standard…
1Key Takeaways
- Every Transformer you have heard of normalizes its activations somewhere.
- Since 2019, and pretty much everywhere by now, it means RMSNorm instead.
- LLaMA, T5, Mistral, Gemma, PaLM all use it.
- It is the kind of change that sounds like a rounding error and turns out to be in every model.
2AIWedia Score
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3Why it matters
Coding AI shifts how fast software ships and how much human review each change needs. DEV — ML reports that every Transformer you have heard of normalizes its activations somewhere.
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