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Applications of GeGLU in Large Language Models
The GeGLU (GELU-based Gated Linear Unit) activation function is utilized in the architecture of modern Large Language Models. For instance, the Gemma family of models incorporates GeGLU.
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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
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GeGLU (GELU-based Gated Linear Unit) Formula
Applications of GeGLU in Large Language Models
An activation function is constructed by taking an input, applying two separate linear transformations to it, and then combining the results. One transformed output is passed through a non-linear 'gating' function, and the result is then multiplied element-wise with the other transformed output. For this entire structure to be correctly identified as a GeGLU, what must be true about the gating function?
Analyzing a Gating Mechanism
Analysis of a Custom Activation Unit
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An engineer is designing the feed-forward network (FFN) within a transformer block for a new large language model. They choose to implement a Gated Linear Unit with a GELU activation (GeGLU). Which statement best analyzes the primary advantage of using this specific activation structure compared to a simpler, non-gated activation function like ReLU?
Activation Function Selection for a New LLM
Role of GeGLU in LLM Feed-Forward Networks