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  7. Unlock the Ultimate ChatGPT Prompt Formula in Just 8 Minutes!

Unlock the Ultimate ChatGPT Prompt Formula in Just 8 Minutes!

Available In Following Subtitles
English
Variant 1
Posted on:
Video by: Jeff Su
Master the art of prompting on ChatGPT and Google BARD with this comprehensive formula presented by tech expert Jeff. Learn the six crucial components and their order of importance to consistently generate high-quality outputs in no time.
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Video Summary & Chapters

0:00
1. Introduction 🌟
Overview of the importance of mastering prompting on ChatGPT and Google BARD.
0:32
2. Six Building Blocks of a Good Prompt 🧱
Explanation of the six components that make up a good prompt formula.
1:40
3. Task Component Breakdown 📋
Detailed breakdown of the task component and its importance in prompting.
2:08
4. Context Component Challenges 🤔
Exploration of the challenges in getting the context component right.
3:05
5. Exemplars Importance 📝
Understanding the significance of including examples in prompts for quality outputs.
4:29
6. Persona Definition and Tips 👤
Explaining the persona component and providing tips for effective prompting.
5:01
7. Introduction
Exploring the components of the perfect ChatGPT prompt formula
5:18
8. Format Strategies
Tips on visualizing and utilizing different formats for prompts
6:00
9. Content Organization
Structuring prompts with key takeaways and summaries
6:11
10. Proofreading Pro Tip
Utilizing bold changes for easier proofreading
6:21
11. Tone Consideration
Understanding and implementing different tones in prompts
7:07
12. Comprehensive Prompt Example
Creating a detailed prompt for a specific scenario
7:41
13. Example Structure
Guidelines for structuring the email prompt effectively
8:17
14. Conclusion
Summary of mastering the perfect ChatGPT prompt formula

Video Transcript

0:00
I don't usually over-hide myself, but in this video we're going over the only formula
0:04
you will ever need to master prompting on chat GPT and Google BARD.
0:09
So let's get started.
0:11
Hey friends, welcome back to channel.
0:12
If you're new here, my name is Jeff, I work full-time in tech, and if you're anything
0:15
like me a couple of months ago, you know prompting is an important skill to learn, but you're
0:20
not exactly sure why some prompts generate outputs that are super generic, while others
0:25
give you precisely what you're looking for.
0:27
Since then, I've spent hundreds of hours taking prompt engineering courses and applying
0:31
what I've learned in my daily life.
0:33
And so in this video, I'm sharing these six building blocks that make up a good prompt
0:36
so that you can use this formula to consistently generate high quality outputs.
0:42
First, it's critical to not only know what the six components are, task, context, exemplars,
0:47
persona, format, and tone, but also know that there's an order of importance to these
0:52
six components.
0:53
To show you what I mean, let's use this simple example.
0:55
I'm a 70kg male, give me a 3 month training program.
0:59
The first part is Context followed by the task.
1:02
The reason why the task is higher up in the form of hierarchy is if we just input the
1:06
task without the context, there's still some sort of meaningful output.
1:09
But if we just give ChatGPT the context, nothing really happens.
1:14
Put another way, it's mandatory to have a task in your prompt, it's important to include
1:18
relevant context and exemplars, and it's nice to have persona format and tone.
1:23
When you think of writing your prompt, go down this mental checklist.
1:28
So this formula, what acts as a consular reminder for you to include just enough relevant information
1:33
when writing prompts.
1:34
And as you see in this next part, you do not need all six components in every prompt to
1:39
have a good output.
1:41
Now, let's break down each boating block with specific examples starting with the task.
1:45
The rule of thumb is to always start the task sentence with an action verb, generate, give,
1:49
right, analyze, et cetera, and clearly articulate what your end goal is.
1:54
It could be one simple task like generating a three month training program or a complex
1:59
three step task like analyzing hundreds of user feedback, sharing the top three takeaways,
2:04
and categorizing the feedback based on the team responsible for following up.
2:09
The second component context is the trickiest to get right because technically there's
2:13
an infinite amount of information you can give.
2:15
So I found asking myself these three questions to be super helpful in coming up with just enough information to get a good result from chat GBT.
2:23
First, what's the user's background? Second, what does success look like? And third, what environment are they in?
2:30
Back to the workout example we now have, I'm a 70kG male looking to put on 5kg of muscle mass over the next 3 months.
2:37
I only have time to go to the gym twice a week and for one hour each session.
2:41
Give me a three month training program to follow.
2:43
Can I have added more background information?
2:45
Of course, only prioritized a muscle groups
2:47
that make me look good at Instagram.
2:49
But the key to staying productive with ChatGbTN Bard
2:52
is giving just enough information
2:54
to constrain the endless possibilities.
2:57
By the way, although this video is not sponsored,
2:59
it is supported by those of you who subscribe
3:00
to my paid Pong TV newsletter on Google Workspace tips.
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