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SwiGLU (Swish-based Gated Linear Unit)
Deconstructing the SwiGLU Activation Function
Deconstruct the name 'SwiGLU' (Swish-based Gated Linear Unit). For each component of the name ('Swi', 'G', 'L', 'U'), explain what it signifies about the function's structure and operation within a neural network.
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Ch.2 Generative Models - Foundations of Large Language Models
Foundations of Large Language Models
Foundations of Large Language Models Course
Computing Sciences
Analysis in Bloom's Taxonomy
Cognitive Psychology
Psychology
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SwiGLU (Swish-based Gated Linear Unit) Formula
Applications of SwiGLU in Large Language Models
The family of Gated Linear Unit (GLU) activation functions creates different variants by incorporating a specific non-linear function to control an information 'gate'. Based on this principle, what is the key distinguishing feature of the SwiGLU variant compared to other possible variants in the same family?
Deconstructing the SwiGLU Activation Function
The gating component of the SwiGLU activation function is controlled by a non-linear function that is strictly increasing across its entire domain.