I Discovered The Perfect ChatGPT Prompt Formula

If you use the perfect prompt , when you prompt chat GP T or if you prompt Bard or Bing , you're going to be really blown away by the result that you're going to get .

It's gonna save you a ton of time .

So I've studied this for 3 to 4 hours a day since GP T three came out .

I've taken a bunch of courses .

Anything I could get my hands on and tested a whole lot of different ways to prompt these platforms .

And I think I've crafted a really useful formula that you could implement for pretty much any situation .

So I wanna share that with you in this video and hopefully after this , you could just copy and paste this prompt because most people that use chat GP T Barred or Bing are stuck kind of in beginners mode .

They just ask a question and then they just try to follow up with the A I to get the answer they're looking for .

But if you give the right prompt up front , most of the time , you're gonna get to the answer without having to revise it a ton of different times .

Let me show you exactly how it works .

Now , the way I crafted this perfect prompt , it came from seven best practices that I'll share with you .

This is basically the most effective way of prompt engineering , these seven different steps and this is gonna go inside of our formula .

So these steps will help you understand it a little bit better and I'll show you some real life examples that are gonna be handy .

Number one is you need to be specific , you want to give as much detail as you can .

So a lot of times people speed this up because they want to see an output and they'll think they'll revise it after that , but don't do that be very specific .

Here's a super simple example , you could ask it , tell me about all the different dog breed that exist or the more specific example is what are the different breeds of small dogs suitable for apartment living ?

Right ?

You get a lot more specific .

So your answer is gonna be a lot more relevant .

Number two is you need to state your intent .

So you need to state that in the prompt .

And this is a good example .

A lot of times people say explain quantum physics and then you're gonna get some kind of a long response , but if you gave it your intent .

So in this case , I'm helping my son with his science homework .

I want to explain quantum physics .

Can you explain it in a very simple way , right .

So then I get a very specific answer that is tailored for that .

So that is all about stating your intention .

So then the output is designed for that .

Number three is you got to use correct spelling and grammar , the best you can , even though the model is going to figure that out .

A lot of times a small spelling on error is gonna send it in the wrong direction .

So even if you do spell check by right , clicking on something that you misspelled , correcting it , there is going to a lot of times ensure that your prompter actually gets you .

The best response .

Number four is direct , the output format , give us some direction on what kind of output you're looking for .

So could you list the steps to break down chocolate cake ?

Right ?

So then it's gonna give you a step by step guide or could you explain a process in a paragraph ?

Then it's gonna know it's gonna give you a paragraph , not a whole bunch of text .

Number five is following up with questions because sometimes even if you use the perfect prompt , you still need to give it some follow up to clarify it or change one of the inputs in the formula that I'm gonna give you .

Now , number six , if you don't get the result , you're looking for experiment with different phrasing .

OK .

So sometimes the model doesn't understand how you phrased it .

But this perfect formula , if you use it in the order .

I'm gonna show you , it's gonna get you the result most of the time .

But if it doesn't just experiment with phrasing and moving things around , and number seven is sometimes I do a fact checking prompt .

So I usually get my results , then I feed it back and I say , can you fact check this statement or whatever output I got this just ensures that it runs through it one more time .

Now let me show you the formula , this formula .

If you use it based on all the different specific information I gave you already in this order .

And I'll give you some examples .

You're gonna get results that are gonna be far better than what you you're getting right now .

So here's the formula , context plus specific information plus your intent plus the response format that you want that equals the perfect prompt .

So I'll give you a couple of different examples here .

So context , in this case , I'm a beginner cook .

That's the context , right ?

I set that up then specific information I'm trying to make Italian cuisine .

OK ?

Then my intent is , can you provide me ?

This is what I'm asking at my goal .

Can you provide me a simple and easy to follow recipe and the format that I want could be a numbered list from one through 10 .

So then he will just try to summarize that in that way .

So here's the perfect prompt .

I'm a beginner cook trying to make Italian cuisine .

Could you provide me a simple and easy to follow recipes and put them in numbered order from one through 10 ?

OK .

And you could give it something else .

Make me lasagna .

For example .

Can you give me the perfect recipe ?

So you could even add more context in the formula , but this is the perfect prompt .

So now you copy and paste this prompt and then you're gonna get a result that's far better than going back and forth a whole bunch of time .

And it will save you sometimes 5 , 10 times the amount of the back and forth it usually will take .

Here's another example context is I'm a software developer .

The specific information is I'm working on a Python project .

Now , the intent is , can you explain how to implement exception handling in Python ?

And the response format is tell me in a simple paragraph .

So this will be the perfect prompt .

I'm a software developer working on a Python project .

Can you explain how to implement exception handling in Python ?

Give it to me in a simple paragraph and this perfect prompt formula works for chat GP T it works for Bard , it works for bing .

I will post it in the description below this video .

So you can copy and paste the formula and then every time just put in those four different pieces , every time you give a prompt to any of these Softwares and what I recommend .

Next is you actually learn something called prompt priming .

That is things you do before you even give it a prompt .

You never ask a question before you prime it , right ?

So I'll make a video about that that I'll link here and I'm also putting together an entire learning platform , Netflix style learning platform all about A I .

So you don't fall behind .

You get the latest tools , you get the latest tutorials and you get complete courses much more detail than what I could do online .

So make sure you sign up for that link in the description .

I hope you found this useful and I'll see you next time .