Applies the gated linear unit function. b is the second half. dim (int) – the dimension on which to split the input. Default: -1. Examples: Return the extra representation of the module. Runs the …

Dec 3, 2020 · As part of it I’ll do couple of posts about some of its components, in this case about GLU activation (gated linear units). Next one will be about Ghost BatchNorm.

This is where Gated Linear Units (GLU) and their advanced variants have made a profound impact, empowering models like LLaMA and others to achieve superior performance and more …

Feb 14, 2020 · [Dauphin et al., 2016] introduced Gated Linear Units (GLU), a neural network layer defined as the component-wise product of two linear transformations of the input, one of which …

Nov 14, 2025 · This blog post aims to provide a detailed overview of Gated Linear Unit in PyTorch, including its fundamental concepts, usage methods, common practices, and best …

The Gated Linear Unit (GLU) has become a key tool in deep learning, especially in natural language processing and sequence modeling. Its ability to control information flow and reduce …

The Gated Linear Unit (GLU) represents a significant advancement in neural network architecture by introducing gated control mechanisms akin to logical gates but specifically tailored for …

This section presents the Masked Gated Linear Units (MGLUs), a novel family of GLUs that reduces memory access by emulating the gate and value streams using a single shared …

Mar 14, 2025 · Intuitively, for a language modelling task, the gating mechanism allows selection of words or features that are important for predicting the next word. The GLU also has non-linear …

Feb 9, 2024 · This article is a concise explanation of the Gated Linear Unit (GLU) based gating mechanism introduced in the Language Modeling with Gated Convolutional Networks paper.