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This AI Skill Pays $300k/yr - Prompt Engineering Guide
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This AI Skill Pays $300k/yr - Prompt Engineering guide by Zoro the Wiz
#ai #artificialintelligence #chatgpt
IMPORTANT LINKS
My Links 🔗
Timestamps:
0:00 - Intro
1:15 - What is Prompting
3:17 - Prompt Engineering
4:25 - Zero Shot Prompting
4:57 - One Shot Prompting
6:08 - Few Shot Prompting
7:20 - Chain of Thought Prompting
8:59 - One Shot Example
9:50 - Additional Info
Have you ever wanted to work with AI but you’re not sure where to start? It’s a common origin story but in the case of AI it’s not because there is a lack of opportunity but rather, there is so much of it that it becomes overwhelming.
The cool thing is that you don’t have to look to far, in today’s video we’re going to be covering one skill that according to Forbes & a multitude of other sources is paying some people over $300k/yr at a high level.
Even more importantly if you want to do anything with AI, business related or not knowing this will be absolutely crucial for actually using it as a tool effectively. Of course the skill that I am talking about is called Prompt Engineering.
Now I don’t want to set expectations that you’re going to be walking out of today’s video and just start making $300k but this will at least open your eyes to the potential and equip you with some of the basic tools that you need to get started.
So in today’s video we’ll be covering:
- The BIGGEST problem with prompting
- What prompt engineering is
- Why it’s so important
- Finally 3 different types of prompting that you can use to take your chatGPT game to the next level.
Without further ado, let’s hop straight into it.
First and foremost, what is a prompt? You might have a very basic idea but put very simply it’s just the text, question, image, information that’s given to the AI by you “the user” in order to tell it what kind of response you want.
It’s just like asking a person a question and 99.9% of people are able to prompt on a basic level. Anybody can ask AI what is a cat or what is 2+2 but where the biggest issues arise are when we try to get more personalized or specific with what we want generated.
Prompting itself is super simple, the prompt acts as an input into the large language model like GPT 3.5 for example & the LLM spits out a response in the form of generated text or images.
I like to describe AI as the ultimate blue balls of business. If you hop onto ChatGPT & say something like, write me copy for my agency landing page… chances are it’s going to be “right” but not in the way you want it to be.
More than likely you’ve experienced this with numerous AI tools that you’ve used before as well, take a large language model like GPT 3.5 Turbo, most AI SaaS tools are running on this with very little prompting, fine tuning or model training and this results in the outputs being mediocre at best.
For most people this sours their taste of AI & they often write it off without giving it a second chance but this is wrong because even without Training or Finetuning which we will cover more in depth in another video you can still get INCREDIBLY far with some basic prompting.
Enter… Prompt Engineering.
Prompt engineering is essentially a technique used to guide or steer the Language Model towards the result that you desire. This helps it to provide more accurate results that are tailored to your specific needs & wants rather than just some generic BS.
A large part of that is creating efficient prompts, now before I hop into the types of prompts you need to understand what goes into making a great prompt and it consists of 5 things.
1. Instruction - The task you want it to perform (translate this, write that, etc.)
2. Context - Not necessary but helps to steer it in the direction that you want it to
3. Input data - the question or the text we need a response for
4. Output indicators - the way we want it formatted or created (bullet points, tables, etc).
Of course you don’t always have to have all of these but the more the better when you’re wanting a specific result and I’m about to show you why, let’s hop into some prompting…
Tags:
zoro the wiz
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liam ottley
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This AI Skill Pays $300k/yr - Prompt Engineering Guide
beginners guide to prompt engineering
ai
artificial intelligence
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ai agency beginners guide
learn prompt engineering
prompt engineering course
prompt engineering chatgpt
how to make money with ai 2023
ai for beginners course
chatgpt
best ai tools 2023
#ai #artificialintelligence #chatgpt
IMPORTANT LINKS
My Links 🔗
Timestamps:
0:00 - Intro
1:15 - What is Prompting
3:17 - Prompt Engineering
4:25 - Zero Shot Prompting
4:57 - One Shot Prompting
6:08 - Few Shot Prompting
7:20 - Chain of Thought Prompting
8:59 - One Shot Example
9:50 - Additional Info
Have you ever wanted to work with AI but you’re not sure where to start? It’s a common origin story but in the case of AI it’s not because there is a lack of opportunity but rather, there is so much of it that it becomes overwhelming.
The cool thing is that you don’t have to look to far, in today’s video we’re going to be covering one skill that according to Forbes & a multitude of other sources is paying some people over $300k/yr at a high level.
Even more importantly if you want to do anything with AI, business related or not knowing this will be absolutely crucial for actually using it as a tool effectively. Of course the skill that I am talking about is called Prompt Engineering.
Now I don’t want to set expectations that you’re going to be walking out of today’s video and just start making $300k but this will at least open your eyes to the potential and equip you with some of the basic tools that you need to get started.
So in today’s video we’ll be covering:
- The BIGGEST problem with prompting
- What prompt engineering is
- Why it’s so important
- Finally 3 different types of prompting that you can use to take your chatGPT game to the next level.
Without further ado, let’s hop straight into it.
First and foremost, what is a prompt? You might have a very basic idea but put very simply it’s just the text, question, image, information that’s given to the AI by you “the user” in order to tell it what kind of response you want.
It’s just like asking a person a question and 99.9% of people are able to prompt on a basic level. Anybody can ask AI what is a cat or what is 2+2 but where the biggest issues arise are when we try to get more personalized or specific with what we want generated.
Prompting itself is super simple, the prompt acts as an input into the large language model like GPT 3.5 for example & the LLM spits out a response in the form of generated text or images.
I like to describe AI as the ultimate blue balls of business. If you hop onto ChatGPT & say something like, write me copy for my agency landing page… chances are it’s going to be “right” but not in the way you want it to be.
More than likely you’ve experienced this with numerous AI tools that you’ve used before as well, take a large language model like GPT 3.5 Turbo, most AI SaaS tools are running on this with very little prompting, fine tuning or model training and this results in the outputs being mediocre at best.
For most people this sours their taste of AI & they often write it off without giving it a second chance but this is wrong because even without Training or Finetuning which we will cover more in depth in another video you can still get INCREDIBLY far with some basic prompting.
Enter… Prompt Engineering.
Prompt engineering is essentially a technique used to guide or steer the Language Model towards the result that you desire. This helps it to provide more accurate results that are tailored to your specific needs & wants rather than just some generic BS.
A large part of that is creating efficient prompts, now before I hop into the types of prompts you need to understand what goes into making a great prompt and it consists of 5 things.
1. Instruction - The task you want it to perform (translate this, write that, etc.)
2. Context - Not necessary but helps to steer it in the direction that you want it to
3. Input data - the question or the text we need a response for
4. Output indicators - the way we want it formatted or created (bullet points, tables, etc).
Of course you don’t always have to have all of these but the more the better when you’re wanting a specific result and I’m about to show you why, let’s hop into some prompting…
Tags:
zoro the wiz
prompt engineering guide
best ai business ideas
best ai side hustles
liam evans
liam ottley
what is prompt engineering
This AI Skill Pays $300k/yr - Prompt Engineering Guide
beginners guide to prompt engineering
ai
artificial intelligence
best ai agency services
ai agency beginners guide
learn prompt engineering
prompt engineering course
prompt engineering chatgpt
how to make money with ai 2023
ai for beginners course
chatgpt
best ai tools 2023
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