Summary

In this chapter, we explored the field of Large Language Models, with a technical deep dive into their architecture, functioning and training process. We saw the most prominent architectures such as the transformer-based frameworks, how the training process works and different ways to customize your own LLM.We now have the foundation to understand what LLMs are. In next chapter, we will see to use them and, more specifically, how to build intelligent applications with them.