How LLMs Work, Part 3: From Toy Model to GPT

About This Tutorial

This is the third part of my series on understanding LLMs from the ground up as a software developer. In Part 1, I covered tokenization, embeddings, and forward pass. In Part 2, I covered the loss function, backpropagation, optimizers and how the model actually learns. In this part, I cover the massive gap between a toy model that trains in seconds on a laptop and models like Llama 3 that train on thousands of GPUs for weeks. I go through