I Discovered The Perfect ChatGPT Prompt Formula

Skill Leap AI · Beginner ·🧠 Large Language Models ·3y ago
Skills: Prompt Craft90%

Key Takeaways

This video reveals a formula for crafting effective ChatGPT prompts for better responses

Full Transcript

if you use the perfect prompt when you prompt chat GPT 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 going to save you a ton of time so I've studied this for three to four hours a day since GPT 3 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 want to 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 GPT barred or Bing are stuck kind of in beginners mode they just ask a question and then they just try to follow up with AI 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 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 going to 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 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 going to be a lot more relevant number two is you need to State your intents 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 going to 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 going to 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 prompt actually gets you the best response number four is direct the output format give it 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 going to give you a step-by-step guide or could you explain a process in a paragraph then it's going to know it's going to give you a paragraph not a whole bunch of text number five is following up with questions because 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 going to give you now number six if you don't get the result you're looking for experiment with different phrasing okay so sometimes the model doesn't understand how you phrased it but this perfect formula if you use it in the order I'm going to show you is going to 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 going to get results that are going to be far better than what 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 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 okay 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 ten so then it 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 ten okay 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'll save you sometimes five ten 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 Chad GPT 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 your learning platform Netflix style learning platform all about AI 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

Original Description

If you give ChatGPT the perfect prompt, you'll get a much more useful answer the very first time. Most people use ChatGPT in beginner mode, and without knowing how to structure a prompt, it will never give you the ideal output. Let me share 7 best practices when it comes to effective prompt engineering. Then I will give you the formula and show you real life examples. 1 - Be Specific: If you ask a vague question, you may get a vague answer. The more details you provide, the better the model can give you what you're looking for. Instead of "tell me about all dog breeds that exist,” ask "What are the different breeds of small dogs suitable for apartment living?" 2 - State Your Intent: If there's a specific purpose for your question, state it in the prompt. For example, instead of asking “explain quantum physics” you could say "I'm helping my fifth-grade son with his science homework. Could you explain quantum physics in a simple way?" 3 - Use Correct Spelling and Grammar: While the model can often interpret and correct spelling and grammar mistakes, providing clear and correct prompts helps ensure you get the best response. 4 - Direct the Output Format: If you want the answer in a specific format, state it in your question. For example, you could ask "Could you list the steps to bake a chocolate cake?" or "Could you explain the process of baking a chocolate cake in a paragraph?" 5 - Ask Follow-Up Questions: If the response wasn't what you expected or if you need more information, feel free to ask follow-up questions to clarify. 6 - Experiment with Different Phrasings: If you're not getting the response you want, try asking the question in a different way. The model might understand one phrasing better than another. 7 - Prompt for Fact-Checking: If you're looking for reliable information, you can ask the model to provide sources or to fact-check information. For example, "Can you fact-check this statement: The tallest mountain in the world is Mount Everest?"
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