GELU Activation Function in the LLM Architecture

In this lecture, we learn about an important component of the LLM architecture: GELU activation function and the feedforward neural network.

We understand everything about the GELU activation function and why it is needed. Then we learn how to integrate the GELU activation function with the feedforward neural network.

We understand the theory and also do the coding for the GELU activation function and the feedforward neural network.

The key reference book which this video series very closely follows is Build a Large Language Model from Scratch by Manning Publications. All schematics and their descriptions are borrowed from this incredible book!

This book serves as a comprehensive guide to understanding and building large language models, covering key concepts, techniques, and implementations.

Affiliate links for purchasing the book will be added soon. Stay tuned for updates!


0:00 Introduction
3:58 GELU activation mathematics
8:49 Why do we use GELU?
10:59 Coding the GELU activation class
13:54 Feed forward neural network architecture
19:56 Coding the feedforward neural network class
24:26 Feedforward neural network advantages
26:32 Summary

Link to code file: https://drive.google.com/file/d/1k4Tw...

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