Prompt Perfecter GPT: Here is How You Can Make Your Prompt Perfect!

Maximize Your Earnings with Prompt Engineering: A Guide to Perfecting AI Prompts

Created with Abidin Dino AI, available for paid subscribers on substack, here

The term "Prompt Engineering" entered our lives after LLMs became very famous. We all have methods to automate our tasks, and using special prompts can enhance this process. Now, let's see how much a Prompt Engineer earns.

Prompt Engineering

Image by Author — Here you can read more details from above.

This SS below is taken from Upwork. It shows that they offer between $20 and $40 per hour. Let’s consider $30 per hour as an example.

Upwork job description, here is the link.

Yearly Salary Calculation:

If we consider 52 weeks in a year and 40 working hours per week, the yearly salary would be:

• $30 x 52 weeks x 40 hours = $62,400

• This equates to an average of $5,000 per month, which is quite attractive.

Achieving This:

But how can you attain such earnings?

There are specific guidelines to follow if you want to build better prompts like this. 

To achieve this, we developed a custom GPT, named Prompt Perfectionist. Let’s see it in action.

Prompt Perfecter

Prompt Perfecter, available for paid subscribers on Substack, here

I like using ChatGPT to develop a machine learning model because it's ironic to use AI to apply AI. It is like all AI circles. So let’s craft a perfect prompt to do that. You can start with something straightforward, like this prompt ;

Iteration 1

I want to apply ai with Python

As you can see, the model aims to identify the ultimate goals for you. Let’s improve our prompt.

Iterate 2

Applying more than one model would be better to find the best, so let’s add this.

I want to create a prompt to apply multiple ai model with python

SS of Prompt Perfecter

Now, our prompt becomes this ;

I am looking to integrate multiple AI models in a Python environment. 
Specifically, I want to understand how to effectively combine different 
types of AI models, such as neural networks, decision trees, and NLP models, 
in a single application. Can you provide guidance on the best practices 
for integrating these models, managing data flow between them, 
and optimizing their performance in a cohesive system?

Here, let’s improve our prompt by answering the questions below. This process will make your prompt better.

Iterate 3

I want to apply 4 different regression models. 
The complexity is intermediate. 
I want to apply this with sci-kit learn

SS of Prompt Perfecter

Final Notes

As you can see, our prompt evolves in different iterations. With a little bit of background and technical ability, I think you can easily land a job like this, because these positions are still young.