Understanding Transformer Add Norm
Let's dive into the details surrounding Transformer Add Norm. Links: https://www.youtube.com/watch?v=VXqqR9PCUyc https://www.youtube.com/watch?v=msdmMS4vBcA.
Key Takeaways about Transformer Add Norm
- Batch normalization made deep networks trainable back in 2015 — yet every
- In this video, we learn about the "
- Transformer
- Demystifying attention, the key mechanism inside
- Layer Normalization is a technique used to stabilize and accelerate the training of
Detailed Analysis of Transformer Add Norm
Lets talk about Layer Normalization in Timestamps: 0:00 Intro 0:25 Why normalization is needed? 1:58 What is normalization? 3:47 Internal Covariate Shift 6:20 Batch ... Transformer
Full explanation of the LLaMA 1 and LLaMA 2 model from Meta, including Rotary Positional Embeddings, RMS Normalization, ...
That wraps up our extensive overview of Transformer Add Norm.
