You're Prompting AI Wrong
45sDirectly calls out the viewer's frustration with AI, creating immediate relatability and curiosity.
▶ Play ClipAI Summary
This video teaches viewers how to improve their AI prompting skills by shifting from vague questions to clear, structured instructions. It covers foundational techniques like personas, context, and output formatting, and introduces advanced methods like chain-of-thought and tree-of-thought prompting. The core insight is that clarity of thought is the meta-skill behind effective prompting.
Chapters
1
Introduction: The Problem with Prompting
00:00
2
Foundational Concepts: What Prompting Really Is
01:46
3
Personas and Context
04:16
4
Output Requirements and Few-Shot Prompting
10:59
5
Advanced Techniques: COT, TOT, and Battle of the Bots
13:38
6
The Meta-Skill: Clarity of Thought
17:43
7
Conclusion and Final Tips
21:13
[02:08]
Prompting is Programming
A prompt is not a question but a call to action to the LLM, essentially a program written in natural language. The LLM is a prediction engine, not a thinker.
[04:16]
Personas Focus the AI
Assigning a persona (e.g., 'senior site reliability engineer') narrows the AI's focus, leading to more relevant and professional outputs.
[06:50]
Context Reduces Hallucinations
Providing detailed context prevents the AI from filling gaps with made-up information. Always assume the AI knows nothing and provide all necessary facts.
[10:59]
Output Requirements Standardize Results
Specifying format, length, tone, and structure (e.g., bulleted list, under 200 words) dramatically improves the quality and consistency of the output.
[12:22]
Few-Shot Prompting Shows Examples
Instead of describing the desired output, provide examples of the exact style and format you want. This reduces guesswork and yields the best results.
[13:38]
Chain-of-Thought Improves Accuracy
Asking the AI to think step by step before answering increases accuracy and trust. Many providers now have built-in 'extended thinking' features.
[15:34]
Tree-of-Thought Explores Multiple Paths
This technique generates multiple solution branches, evaluates them, and synthesizes the best elements, enabling self-correction and diverse options.
[16:39]
Battle of the Bots Uses Adversarial Validation
Force the AI to generate competing options from different personas, then have them critique and collaborate to produce a superior final result.
[18:49]
Clarity of Thought is the Meta-Skill
The core skill behind all prompting techniques is clear thinking. If you can't explain what you want clearly, you can't prompt effectively. The AI can only be as clear as you are.
Mastering prompting is about mastering clarity of thought. All techniques—personas, context, chain-of-thought—are tools to help you express yourself more clearly. The next time you get frustrated with AI, look in the mirror: it's a skill issue.
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Mentioned in this Video
Tutorial Checklist
2
06:50
Provide detailed context about the task, including all relevant facts, to reduce hallucinations.
3
10:59
Specify output requirements: format, length, tone, and structure (e.g., bulleted list, under 200 words).
5
13:38
Enable chain-of-thought by asking the AI to think step by step, or use built-in 'extended thinking' features.
6
15:34
Apply tree-of-thought prompting to generate multiple solution branches and synthesize the best elements.
7
16:39
Use adversarial validation (battle of the bots) to have competing personas critique and collaborate on the output.
Study Flashcards (10)
What is a prompt according to Dr. Jules White?
easy
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What is a prompt according to Dr. Jules White?
easy
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A call to action to the large language model.
02:08
Why does assigning a persona improve AI output?
medium
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Why does assigning a persona improve AI output?
medium
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It narrows the AI's focus to a specific expertise, reducing generic responses.
04:16
What is the main cause of hallucinations in LLMs?
medium
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What is the main cause of hallucinations in LLMs?
medium
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Lack of context; the AI fills gaps with made-up information.
06:50
What is few-shot prompting?
easy
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What is few-shot prompting?
easy
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Providing examples of the desired output to guide the AI's response.
12:22
How does chain-of-thought prompting improve accuracy?
medium
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How does chain-of-thought prompting improve accuracy?
medium
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It forces the AI to think step by step before answering, reducing errors.
13:38
What is tree-of-thought prompting?
hard
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What is tree-of-thought prompting?
hard
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A technique that explores multiple solution paths simultaneously and synthesizes the best elements.
15:34
What is the 'battle of the bots' technique?
hard
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What is the 'battle of the bots' technique?
hard
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Using multiple personas to generate competing options, then having them critique and collaborate.
16:39
What is the meta-skill behind all prompting techniques?
medium
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What is the meta-skill behind all prompting techniques?
medium
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Clarity of thought; you must be able to clearly describe what you want.
18:49
What should you do if the AI's response is bad?
easy
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What should you do if the AI's response is bad?
easy
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Treat it as a personal skill issue; you didn't explain well enough or provide enough context.
19:58
What is the purpose of giving the AI permission to fail?
medium
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What is the purpose of giving the AI permission to fail?
medium
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It prevents the AI from lying to please you; it will say 'I don't know' instead of hallucinating.
10:15
💡 Key Takeaways
⚖️
Prompting is Programming
Shifts the mindset from conversational to instructional, which is fundamental to effective prompting.
02:08
🔧
Context is King
Emphasizes that providing detailed context is the most effective way to reduce hallucinations.
06:50
💡
Clarity of Thought is the Meta-Skill
Reveals that all prompting techniques are tools to achieve clarity, and that the user's own thinking is the bottleneck.
18:49
🔧
Battle of the Bots
Demonstrates a creative adversarial technique that leverages AI's critiquing strength to produce superior outputs.
16:39
🔧
Permission to Fail
A simple but powerful instruction that directly addresses the root cause of hallucinations.
10:15Full Transcript
[00:00] You suck at prompting.
[00:09] Have you ever yelled at chat gt like
[00:30] Himself what I was doing wrong. So
[00:57] I know it feels weird to be
[01:17] We're going to take this garbage and
[01:37] thank you to Coursera for sponsoring
[01:46] So let's turn this basic prompt
[02:08] but you have to remember you're talking
[02:34] We've wrote a program
[02:56] You need to learn Docker right now or
[03:22] I'll open up a new prompt
[03:50] by technology focused YouTube
[03:54] There we go. So what I want to hit home
[04:16] Okay, this CloudFlare apology email is kind of
[04:37] So I'm going to grab a new
[04:57] Let's do a little thought experiment.
[05:18] That's who I would ask, and that's the mindset we've got
[05:43] So let's try it out. Let's
[05:46] And immediately it's more professional
[06:10] It's system prompt and then the
[06:35] You can tell it who to be and the
[06:50] It's kind of amazing to watch an LLM
[07:11] You'll hear that it's the C and the
[07:42] So right here, he doesn't know
[08:02] nothing. So more context equals less
[08:27] and we can actually make this more
[08:47] He's going to make it up unless
[09:09] you have to be careful here with all
[09:29] Many of our LLMs have a built-in memory
[09:52] never assume it has all the context.
[10:15] Always do something for you. Always
[10:37] This is the most important
[10:59] And this actually might be the best
[11:19] Keep it under 200 words, the
[11:28] Look at that. That's nice. Short to
[11:48] You're seeing the power of this
[12:00] So what we've been doing here so
[12:22] That gives it much less room to guess
[12:45] outages that's been happening
[12:59] I noticed I'm not pasting the
[13:23] I don't care if it's is like an ad hoc, I'm just asking about what to eat for
[13:38] but I know you want to get crazier.
[14:02] You see what's happening here, right? Able to see kind how it's coming
[14:24] but it was so effective that all the
[14:48] they're called reasoning models and
[15:10] especially when you're doing repeatable
[15:34] Tree like going through a maze.
[15:55] Let's try it out and prepare to have
[16:16] and look at that. It's going to
[16:39] breaking it out of its
[16:58] and then they read the customer's feedback
[17:28] Look at this. Yikes. Both emails are
[17:33] No, that was actually
[17:43] Now, I've shown you the foundations.
[18:06] But I honestly think and believe that
[18:28] probably the best prompt engineer I
[18:49] And he spends a lot of time in that
[19:11] all the tricks, they're all about clarity,
[19:31] Few shot forces us to say, this is
[19:58] they call him the prompt father, I'm not
[20:23] It's the best CC NA I've ever seen.
[20:48] You're not explaining yourself. So
[21:13] that ability is going to
[21:39] the meta meta skill is to use a prompt, enhancer prompt to enhance your
[21:47] Did you get lost on that one? I'll
[22:10] is this enough information
[22:29] and if you have an amazing prompt
[22:53] I thank you that they are hungry for
[23:07] They may be dealing right now with just
[23:29] their jobs and their career. I
[23:55] I ask this in your name, Jesus. Amen.