Building a 100M Parameter Transformer Model from Scratch

Learn how to build a Decoder-only Transformer model: architecture selection, parameter calculation, data processing, training, testing, and initialization.

Welcome to the "Practical Application of AI Large Language Model Systems" Series

Table of Contents

In the first two lessons, I introduced the architecture of Transformers from a theoretical perspective. Now, we've covered all the basic theoretical knowledge.

Starting from this lesson, we'll move into practical aspects. We'll cover model design, construction, pre-training, fine-tuning, and evaluation. The upcoming lessons will be more interesting.

Today, we'll learn how to build a Transformer-based model from scratch.