AI Engineering Guidebook 2025: LLM, RAG and Agents Explained in Plain Language
We read the 400-page guide cover to cover and simplified it without cutting content. In this edition you will learn how an LLM “thinks,” why the Transformer matters, how a model is trained in 4 stages, why LoRA saves thousands of dollars, why RAG still reigns, why context matters more than the prompt, and how agents work as a team — all with everyday analogies, numbers and 5 spacious diagrams.
- What is an LLM and why must it be huge?
- Transformer: How does the text-understanding engine work?
- +9 more sections