Prompt Engineering
In Chapter 2, we introduced the concept of prompt engineering as the process of designing and optimizing prompts – the text input that guides the behavior of a large language model (LLM) – for LLMs for a wide variety of applications and research topics. Since prompts have a massive impact on LLM performance, prompt engineering is a crucial activity while designing LLM-powered applications. In fact, there are several techniques that can be implemented not only to refine your LLM’s responses but also to reduce risks associated with hallucination and bias.
In this chapter, we are going to cover the emerging techniques in the field of prompt engineering, starting from basic approaches up to advanced frameworks. By the end of this chapter, you will have the foundations to build functional and solid prompts for your LLM-powered applications, which will also be relevant in the upcoming chapters.
We will go through the following topics:
- Introduction to prompt engineering
- Basic principles of prompt engineering
- Advanced techniques of prompt engineering
