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In Chapter 2, we introduced the concept of prompt engineering as the process of designing and optimizing prompts – the text inputs that guides the behaviour of a large language model - to LLMs for a wide variety of applications and research topics.Since prompts have a massive impact on LLMs performance, prompt engineering is a crucial activity while designing LLM-powered applications. In fact, there are several techniques that can be implemented to not only to refine your LLM’s responses, but also to reduce risks associated with hallucination and biases.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. More specifically, we will go through the following topics:

• Introduction to prompt engineering
• Basic principles of prompt engineering
• Advanced techniques of prompt engineering
• Mitigation of risks...