Build a Large Language Model (From Scratch)

4 Implementing a GPT model from scratch to generate text

This chapter covers

• Coding a GPT-like large language model (LLM) that can be trained to generate human-like text
• Normalizing layer activations to stabilize neural network training
• Adding shortcut connections in deep neural networks
• Implementing transformer blocks to create GPT models of various sizes
• Computing the number of parameters and storage requirements of GPT models

You’ve already learned and coded the multi-head attention mechanism, one of the core components of LLMs. Now, we will code the other building blocks of an LLM and assemble them into a GPT-like model that we will train in the next chapter to generate human-like text.

Figure 4.1 The three main stages of coding ...