SwiGLU
Definition
SwiGLU connects two computed projections through a Swish-controlled multiplication.
SwiGLU is a gated feedforward activation that multiplies a Swish-weighted projection with a second linear projection.
Simply explained
In the model, the same inputs are transformed in two ways. One path acts like a controller for how strongly values from the other path are passed on.
Why it matters in practice
The term helps to select, develop, evaluate AI systems in a well-founded manner and realistically assess their technical risks.
Example from business
A model team tests SwiGLU against ReLU with comparable parameter and compute budgets.
Limits and pitfalls
- Architecture comparisons without adjusted width or training parameters are unfair; the activation alone does not explain model quality.
Origin & history
Shazeer compared GLU variants for Transformers in 2020; SwiGLU was subsequently used in several large language models.
Use in mid-sized companies
- Possible example: A model team tests SwiGLU against ReLU with comparable parameter and compute budgets.
Frequently asked questions
What does SwiGLU mean?
SwiGLU is a gated feedforward activation that multiplies a Swish-weighted projection with a second linear projection. What should you watch out for? Architecture comparisons without adjusted width or training parameters are unfair; the activation alone does not explain model quality.
Sources
- GLU Variants Improve Transformer · Shazeer, GLU Variants Improve Transformer
Source checked on 10.10.2026. Editorial application examples are hypothetical; no evidence of real customer results.
Editorially reviewed on: