LLM Architecture
In this chapter, you’ll be introduced to the complex anatomy of large language models (LLMs). We’ll break the LLM architecture into understandable segments, focusing on the cutting-edge Transformer models and the pivotal attention mechanisms they use. A side-by-side analysis with previous RNN models will allow you to appreciate the evolution and advantages of current architectures, laying the groundwork for deeper technical understanding.
In this chapter, we’re going to cover the following main topics:
- The anatomy of a language model
- Transformers and attention mechanisms
- Recurrent neural networks (RNNs) and their limitations
- Comparative analysis – Transformer versus RNN models
By the end of this chapter, you should be able to understand the intricate structure of LLMs, centering on the advanced Transformer models and their key attention mechanisms. You’ll also be able to grasp the improvements of modern...
