SwiGLU
SwiGLU is an activation function combining the Gated Linear Unit with Swish activation, used in feed-forward networks of modern Transformer blocks.
Frequently Asked Questions
Why use SwiGLU over ReLU or GELU?▼
SwiGLU consistently improves model perplexity and evaluation scores.
What is its main cost?▼
It increases parameter size and computational cost slightly by adding gate layers.
Quick Facts
- CategoryNeural Architectures
- Key ApplicationTransformer performance optimization, model training.
Coverage Trend12 Weeks
Related AI Terms
SwiGLU Media Coverage & Intelligence
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