Categories: AI/ML Research

LayerNorm and RMS Norm in Transformer Models

This post is divided into five parts; they are: • Why Normalization is Needed in Transformers • LayerNorm and Its Implementation • Adaptive LayerNorm • RMS Norm and Its Implementation • Using PyTorch’s Built-in Normalization Normalization layers improve model quality in deep learning.

Positional Description for Numerical Normalization

We present a Positional Description Scheme (PDS) tailored for digit sequences, integrating placeholder value information for each digit. Given the structural limitations of subword tokenization algorithms, language models encounter critical Text Normalization (TN) challenges when handling numerical tasks. Our schema addresses this challenge through straightforward pre-processing, preserving the model architecture…

August 24, 2024

In "FAANG"

Scaling vision transformers to 22 billion parameters

April 1, 2023

In "FAANG"

Swin Transformer supports 3-billion-parameter vision models that can train with higher-resolution images for greater task applicability

August 31, 2022

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