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Prompt Engineering: Which is more valuable?

author:iChatGPT

In an era where AI technology is becoming more and more pervasive, it is important for individuals to master Prompt Engineering.

Prompt Engineering is a way to create our own AI instructions, by mastering this method, we can solve known problems more effectively, but also use AI to solve unknown new problems, and even create more new problems that do not exist.

Prompt Engineering: Which is more valuable?

Relatively speaking, using instructions written by others (instruction encyclopedia) can no longer meet our needs. When using existing commands, we are just brainless operators, easily replaced by other people who are more obedient, have better physical strength, and pay less. Moreover, with the popularization of domestic AI technology, various command training courses will also mushroom, and these new operators will soon surpass us.

Prompt Engineering: Which is more valuable?

So, learning Prompt Engineering has become essential for us. By learning this approach, we can create more valuable AI instructions, improve our AI problem-solving skills, and become a competitive advantage in the AI era.

Prompt Engineering: Which is more valuable?

Of course, Prompt Engineering requires more study and practice than Instruction Encyclopedia. However, the value of this approach cannot be replaced by simple instructions. Learn Prompt Engineering and you'll find that the efficiency and quality of AI problem solving has vastly improved. With this approach, we can better meet the challenges of the future and become a source of innovation in the AI era.

Not every directive is created equal

It seems that some people still do not understand the difference between Directive Encyclopedia and Prompt Engineering

1. "Complete Instructions"

Instructions are a bunch of prompts written by others that solve fixed problems in a fixed way. When using instructions written by others, we are not brainless operators, in other words, uncompetitive, ready to be replaced by other operators who are more obedient, more physically strong, and pay less

Now everyone thinks that the "instruction encyclopedia" is very good, mainly because ChatGPT is not popular enough, and we are enjoying the advantages brought by the time difference and poor information. After domestic AI such as "Wen Xin Yiyan" became more popular, soon the streets were full of various instruction training courses, and any middle school graduate pulled out for training for 3 days, and he could go online and operate, and his proficiency exceeded you in less than a week

2,Prompt Engineering

Prompt Engineering is a way to create our own instructions, and if we master the method, we can either use AI to solve unknown new problems, or we can realize the full potential of AI to solve known old problems more efficiently and at a lower cost

Even a little more "philosophical", we can reverse the operation, use the solution method to reverse create more new problems that do not exist, AKA creates new growth points, new earning opportunities

For individuals, the value of learning Prompt Engineering is to master a new set of competitive tools and establish their competitive advantage as soon as possible in the future society where AI is becoming more and more common

3. Take an example

Everyone knows that ChatGPT is very good at making stories for children

For example, if you are a macho young dad, you want to use ChatGPT to make up stories to teach boys to be self-reliant; And your wife pursues equality between men and women, she uses ChatGPT to make up stories to teach children to respect women...

How can you two make up a story with just the right scale between men's self-esteem and respect for women, relying on ready-made instructions?

Or maybe your kids are so smart that they guessed the way to create ChatGPT commands, and they made up their own instructions to stop all your bullshit stories

So what do you do? Follow the practices of the older generation and ban ta from using ChatGPT, right?!

……

Not every instruction is created equal, and from the perspective of competition in the AI era, the value of the instruction largely depends on whether you copied it from others or created it yourself based on actual problems