Residual Connections and Layer Normalization in Large Language Models: Why They Keep Training Stable
Residual connections and layer normalization are essential for training stable, deep large language models. Without them, transformers couldn't scale beyond a few layers. Here's how they work and why they're non-negotiable in modern AI.
