Prompts are, after all, the language we use in our daily lives.

This is the last chapter of the long, long prompt guidebook. In my research on LLM, one of the topics that catches people's interest is "differences in wording." It is said that when you use the same prompt differently, such as more affectionately, more politely, more like a request, or saying something like "I'm giving you a tip," you get better answers.

Some say, "In the era of AI, 'how to ask questions' is important.", "In the era of AI, 'how to speak' is important." Well, that's not wrong. But do you know that since humans created language and writing, there has never been a time when the way to ask questions, the way to answer, and the way to communicate were not important.

We speak and write in order to interact with others or express ourselves. The term natural language itself is an expression derived from the concept of distinguishing the language that people use in their daily lives from artificial languages, which are artificially created languages. In other words, the words we use in our daily lives are always important.

We have always used this when we are instructing someone, asking for something, refusing something, etc. It is no different with prompts. Speaking in detail and clearly, and furthermore, creating structure, dividing the hierarchy, and speaking logically are the best ways to use prompts well.

In fact, the techniques introduced in this guide are meaningful enough to be applied to natural language, that is, the language we use in real life. Because it is close to how to speak well. I think that calling prompt engineering or prompt design is a marketing term like metaverse or web 3.0. In the end, we input prompts to give instructions to artificial intelligence, and the easier it is to understand (for humans), the better it works.

Thank you for reading to the end.

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