Why are prompts important? The role and necessity of the 'blueprint' that determines AI output

You may have heard that 'prompts are important' for mastering generative AI, but...

“Why are they so important?”
“I’ve tried various things, but I’m not getting the answers I expected...”

Many people likely struggle with these kinds of concerns.

In conclusion, prompts are extremely important to AI because they are the one-of-a-kind 'blueprint' that serves as the starting point for thought.

If that blueprint is vague, even the most capable AI will find it difficult to produce the results you are aiming for.

Once you understand this essence, AI should be able to accurately grasp your intentions.

You will be freed from trial and error, and it will be reborn as a 'partner' that returns surprisingly accurate answers!

Based on the knowledge gained from trial and error in AI article creation prompts, I will explain the role of prompts in generative AI and why they are important in an easy-to-understand way.

Please use this article as a reference to take the first step toward mastering AI.

The reason why prompts are important: Because they are the AI's 'blueprint'

Why are prompts so important?

To put it simply, it is because a prompt is the 'blueprint' for the AI.

No matter how excellent the materials or craftsmen are, you cannot build what you want if the blueprint is vague.

AI is the same, and the key to bringing out its true value depends on the quality of this blueprint.

▶️ Even a skilled craftsman cannot perform without a blueprint

Try to imagine this for a moment.

Suppose there is a 'skilled craftsman' who possesses a wealth of knowledge to create anything and the high-level skills to give it form.

This craftsman is exactly what generative AI is.

However, no matter how skilled the craftsman is, what would happen if they were simply told, 'Make something good'?

They would surely be troubled, asking, 'What exactly should I make?'

A prompt serves as the blueprint that provides specific instructions on 'what to make' for this craftsman.

No matter how excellent an AI craftsman you have, you cannot fully utilize its capabilities without a clear blueprint (prompt).

▶️ Vague instructions are the cause of lackluster output

Have you ever felt that 'the AI's answer is a bit shallow...'?

In many cases, this is not due to a lack of AI capability, but rather because the instructions were vague.

For example, let's say you executed a prompt saying, 'Write a blog post.'

With this, the AI does not know what to write about, what tone to use, or how long it should be.

As a result, it only returns generic, harmless content.

This is one of the reasons why we feel an output is 'useless'.

It is not that 'the AI's capabilities are lacking,' but rather that we simply haven't communicated in a way the AI can understand.

Thinking about it this way might make things a little clearer, don't you think?

The essence of prompts understood from the mechanism of AI

So, why does AI need such a detailed 'blueprint'?

The answer lies in the mechanism of AI itself.

Once you understand that mechanism, it should make sense why prompts are so important.

▶️ AI predicts based on probability, not by sensing context

Many people tend to misunderstand, but generative AI does not understand context to provide answers.

What AI is doing is, for a given text (prompt),

'What is the word with the highest probability of coming next after the given text?'

It is simply predicting that from vast amounts of data and connecting them to produce an output.

For example, if given the sentence 'The sky is very...', it judges that the word 'blue' has the highest probability of following, and selects that word to output.

That is the general idea.

Understanding this basic principle is the first step toward getting to the essence of prompts.

▶️ Why clear instructions produce high-precision output

If AI is just predicting the next word based on probability, why does giving clear instructions improve the accuracy of its output?

The answer is simple. Because clear instructions
narrow down the 'range of correct answers' that the AI predicts.

With vague instructions, the AI must choose an answer from nearly infinite possibilities.

As a result, it settles on the most common and safe answer.

On the other hand, including specific and clear conditions in a prompt is like illuminating the path the AI should take and laying down rails to the goal.

Because the AI's prediction range is narrowed, it becomes easier to generate high-precision output that aligns with our intentions.

In short, a guide to keep the AI from getting lost—that is the role of a high-quality prompt.

▶️ The role of prompts explained through a car navigation example

This relationship is very easy to understand if you compare it to a high-performance car navigation system.

• Bad prompt:
  It's like just entering 'I want to go to Tokyo.' The navigation system can't identify where in Tokyo you want to go, so it gets stuck, right?

• Slightly better prompt:
  It's like entering 'Delicious ramen shop in Tokyo.' It's a bit more specific, but there are still too many candidates, so it would be difficult to reach the shop you are truly looking for.

• Good prompt:
  It's like entering 'Suggest 3 shops around Tokyo Station with a budget under 1,000 yen where I can eat rich tonkotsu-shoyu ramen and that are open after 8 PM.'

What do you think?

With such specific instructions—in other words, a high-quality 'blueprint'—the AI, acting as your car navigation system, will not get lost and will pinpoint the exact answer you expect.

In this way, a prompt is a guidepost that draws out the AI's performance and is the first step toward obtaining high-quality output.

Summary: Understanding the importance of prompts and the essence of AI is the first step to mastering it.

So far, I have discussed:

• The reason why prompts are the 'blueprint' for AI

• The essence of prompts as seen from the mechanism of AI thinking

I have talked about the above based on my own experience of trial and error, using easy-to-understand examples.

Generative AI does not understand words and context like humans do when answering.

It is merely predicting the next word based on probability, using the information from the blueprint (prompt) provided.

Once you understand this essence, your AI will accurately grasp your instructions, and the precision of its output will improve dramatically.

The frustration you felt until now will seem like a lie, and the AI should transform into a reliable 'partner' that understands your intentions.

Why not start by being conscious of giving the AI a clear 'blueprint'?

Learn the components of a good prompt in articles like the ones below and experience its true value for yourself.

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