In the Deepdive Llama3 From Scratch project, SwiGLU feedforward network is one of the technology modules focused on profiling.SwiGLU (Sigmoid-weighted Linear Unit) is a novel activation function structure that can provide stronger nonlinear expressive capability compared to traditional feedforward networks.
Details of the project's implementation of SwiGLU are included:
- The nonlinear combination was computed using w1 and w3, with w2 as the output
- Activation function using sigmoid linear unit (SiLU)
- The mathematical expression is: output = torch.matmul(F.silu(w1(x)) * w3(x), w2.)
This network structure significantly improves the feature extraction capability of the model by adding nonlinear channels and gating mechanisms, and is an important part of the robust performance achieved by Llama3.
This answer comes from the articleDeepdive Llama3 From Scratch: Teaching You to Implement Llama3 Models From ScratchThe
May not be reproduced without permission:AI productivity tools " SwiGLU feedforward network is the network structure that Deepdive Llama3 From Scratch focuses on dissecting
