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Practical Generative AI with ChatGPT
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In this chapter, we have dived into the concept of prompt engineering since it’s a key component to control the output of ChatGPT and LLMs in general. We learned how to leverage different levels of shot learning to make LLMs more tailored to our objectives.
We started with an introduction to the concept of prompt engineering and why it is important, then moving toward the basic principles – including clear instructions, asking for justification, etc.
Then, we moved toward more advanced techniques, which are meant to shape the reasoning approach of our LLMs: few-shot learning, CoT, and ReAct.
Prompt engineering is an emerging discipline that is paving the way for a new category of applications, infused with LLMs.
Starting from the next chapter, we will explore different domains where ChatGPT can boost productivity and have a disruptive impact on the way we work today.