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9: Prompt Engineering Unleashed: Mastering Language Models! · Hustle Minds

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  Speaker 1: Hey, everyone, welcome back. Ready to dive into something really interesting.
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  Speaker 2: Today absolutely should be a good one.
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  Speaker 1: We're talking all about prompt engineering, which.
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  Speaker 2: Is becoming a seriously sought after skill set these days.
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  Speaker 1: It really is, And I think sometimes people hear prompt
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  Speaker 1: engineering and think, oh, that's for the AI experts.
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  Speaker 2: Right, Like, it takes years of study to master.
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  Speaker 1: Exactly, but it's way more accessible than it sounds.
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  Speaker 2: It really is. At its core, prompt engineering is basically
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  Speaker 2: about how to talk to AI, so it actually gets you,
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  Speaker 2: you know.
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  Speaker 1: Yeah, how to get the results you actually want exactly.
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  Speaker 2: Because as AI tools become more integrated into everything.
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  Speaker 1: Our workflows, our creative projects, everything.
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  Speaker 2: Yeah, knowing how to clearly articulate your needs to these
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  Speaker 2: AI tools can be the difference between like having a
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  Speaker 2: helpful assistant totally and just having this frustrating experience where
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  Speaker 2: you're like, why aren't you understanding me?
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  Speaker 1: Like, come on, I know you can do this exactly. Okay,
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  Speaker 1: So before we get into the nitty gritty, let's make
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  Speaker 1: sure we're all on the same page.
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  Speaker 2: So that's good.
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  Speaker 1: We've got to talk about these things called large language.
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  Speaker 2: Models, right, which is a mouthful.
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  Speaker 1: It sounds very intimidating, very technical.
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  Speaker 2: Yeah, it sounds way more complex than it really is. Basically,
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  Speaker 2: imagine a system that has read more text than any
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  Speaker 2: human ever could in a million lifetimes.
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  Speaker 1: Like the entire Internet and then.
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  Speaker 2: Some pretty much we're talking books, articles, code, everything. You
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  Speaker 2: can imagine, it's absorbed at all.
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  Speaker 1: Wow.
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  Speaker 2: And that's essentially what a large language model is. And
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  Speaker 2: it uses that vast knowledge base to try to understand
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  Speaker 2: your requests and then hopefully respond to them in a
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  Speaker 2: meaningful way.
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  Speaker 1: So it's like having access to this incredible library, but
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  Speaker 1: we need to know the right keywords.
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  Speaker 2: Yes, a perfect analogy. You need to know how to
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  Speaker 2: search for what you're looking for, right, You're not just
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  Speaker 2: going to wander around aimlessly.
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  Speaker 1: Exactly, don't get lost in the stacks, precisely.
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  Speaker 2: And that's where prompt engineering comes in.
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  Speaker 1: It's the key.
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  Speaker 2: It's about moving beyond just simple questions like you know
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  Speaker 2: what's the weather, and learning how to communicate with AI.
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  Speaker 2: That unlocks its full potential.
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  Speaker 1: Which I think we all want because these AI tools
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  Speaker 1: are just getting more and more powerful.
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  Speaker 2: Oh. Absolutely, the possibilities are pretty much endless. It's really
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  Speaker 2: quite exciting, and that's what we're going to dig into today.
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  Speaker 1: Yeah, and we've got two really interesting sources we're going
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  Speaker 1: to be drawing from.
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  Speaker 2: Perfect lay it on me.
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  Speaker 1: So we've got this technical guide. It's great. It breaks
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  Speaker 1: down the mechanics of prompt engineering, so almost like a
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  Speaker 1: workshop manual. I like it, like how to actually craft
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  Speaker 1: the perfect command?
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  Speaker 2: Awesome? What about the second source?
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  Speaker 1: The other one's cool. It's a fascinating look at how
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  Speaker 1: prompt engineering is actually being used in the real world
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  Speaker 1: in different professions.
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  Speaker 2: Because it's not just for coders, is it.
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  Speaker 1: No, not at all, Writers, marketers, educators.
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  Speaker 2: Really, anyone who interacts with AI at all.
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  Speaker 1: Probably exactly. Yeah, Because at the end of the day,
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  Speaker 1: it's about communication, right, and everyone can benefit from communicating
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  Speaker 1: more effectively.
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  Speaker 2: Okay, So I'm excited. Whether you're just looking to like
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  Speaker 2: stream line your workflow, sure, or you're ready to unlock
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  Speaker 2: some serious next level AI wizardry.
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  Speaker 1: I love it. We've got something for everyone here today.
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  Speaker 1: All right, So let's dive into some of these strategies
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  Speaker 1: for prompt engineering because I'm ready to level up my
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  Speaker 1: prompt game.
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  Speaker 2: It's like learning the secret handshake.
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  Speaker 1: Yeah, exactly. I want to go from novice to like prompt.
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  Speaker 2: Pro I love it. And you know, the good news
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  Speaker 2: is a lot of these strategies they're really rooted in
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  Speaker 2: common sense.
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  Speaker 1: Okay, that's good to hear.
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  Speaker 2: It's not about like knowing some secret code or anything.
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  Speaker 1: Right, because I mean, we see these AI tools do
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  Speaker 1: amazing things.
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  Speaker 2: It's true they can be really impressive, but at.
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  Speaker 1: The end of the day, they're operating on the instructions
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  Speaker 1: that we give them precisely.
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  Speaker 2: They're not mind readers, not yet anyway. And that's where clarity.
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  Speaker 1: Comes in, right, so important.
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  Speaker 2: Our sources really emphasize this. Being crystal clear in your
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  Speaker 2: prompts is absolutely crucial.
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  Speaker 1: So it's like if you're explaining something to a friend,
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  Speaker 1: you know, the clearer you are, the better they'll understand exactly.
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  Speaker 1: And AI is no different.
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  Speaker 2: It's the same thing with AI. Don't be afraid to
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  Speaker 2: like over explain, especially when you're dealing with complex tasks,
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  Speaker 2: you know, instead of just saying, write me a report
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  Speaker 2: on climate change.
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  Speaker 1: Yeah, that's pretty broad.
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  Speaker 2: Right, You want to be specific. What kind of data
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  Speaker 2: are you looking for, what timeframe, what are the key
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  Speaker 2: arguments you want to address? So give it the structure
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  Speaker 2: basically totally, and that actually leads us to another really
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  Speaker 2: key strategy, which is breaking down those complex tasks.
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  Speaker 1: Okay, good to know, because some of the stuff I
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  Speaker 1: want to do is a little complex.
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  Speaker 2: It makes a huge difference. See, AI, it can only
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  Speaker 2: handle so much information at once, right, Like, just like
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  Speaker 2: you wouldn't try to eat a whole pizza in one
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  Speaker 2: byte one byte, Yeah no, you got to break it down,
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  Speaker 2: make it manageable, smaller chunks exactly. So you do the
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  Speaker 2: same for AI. You break those large tasks into smaller,
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  Speaker 2: more digestible.
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  Speaker 1: Steps, divide and conquer exactly.
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  Speaker 2: And here's a little bonus tip. When you break down
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  Speaker 2: a task like that, you're essentially creating a step by
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  Speaker 2: step process for the AI, like a to do list.
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  Speaker 2: Yeah yeah, and you can actually tell the AI to
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  Speaker 2: follow those steps explicitly, which can really improve accuracy, you know,
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  Speaker 2: and it gives you more control.
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  Speaker 1: Oh interesting, So you're not just telling you what to do,
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  Speaker 1: but how to do it exactly, like a roadmap.
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  Speaker 2: I love that analogy. A roadmap. It's perfect. And speaking
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  Speaker 2: of control, another really powerful technique is actually specifying the
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  Speaker 2: output that you want.
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  Speaker 1: Oh interesting.
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  Speaker 2: Okay, don't just accept whatever the AI spits.
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  Speaker 1: Out, you know, don't just take it at face value.
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  Speaker 2: Exactly, you have the power to actually shape those results. So,
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  Speaker 2: for example, instead of just letting the AI write you
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  Speaker 2: a paragraph, you can say, hey, give me a bullet
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  Speaker 2: point summary of this, or I need this in a
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  Speaker 2: table format, or even write this in a specific tone
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  Speaker 2: of voice.
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  Speaker 1: Oh like, if I need to sound like really formal.
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  Speaker 2: For something precisely, you can say, you know, write this
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  Speaker 2: like a news headline, or I need this to sound
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  Speaker 2: really encouraging and upbeat, whatever it might be.
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  Speaker 1: That is amazing.
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  Speaker 2: Okay, you're basically giving the A a blueprint for the
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  Speaker 2: kind of response you want.
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  Speaker 1: It gives you so much more control.
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  Speaker 2: Exactly. You're no longer just a long for the ride.
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  Speaker 2: You know, you're in the driver's seat.
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  Speaker 1: I'm into that. Yeah, And that's what.
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  Speaker 2: It's all about. It's about understanding how to communicate effectively
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  Speaker 2: with AI to get the results you need.
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  Speaker 1: Okay, So we've covered a lot of ground here, but
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  Speaker 1: I'm seeing in our notes that things get even more
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  Speaker 1: interesting when we start talking about advanced prompt engineering techniques.
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  Speaker 2: Oh yeah, this is where it gets really fun.
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  Speaker 1: Okay, fun, I like it. So are you ready to
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  Speaker 1: blow my mind a little bit?
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  Speaker 2: I think so get ready, because when I first started
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  Speaker 2: exploring some of this stuff, it really blew my mind. Okay, good,
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  Speaker 2: It's like, you know, you're stepping behind the curtain and
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  Speaker 2: you start to see how the AI actually works.
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  Speaker 1: Yeah, like you're getting under the hood a little bit exactly.
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  Speaker 2: And one of the things that really fascinates me is
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  Speaker 2: this idea of giving an AI a memory.
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  Speaker 1: Giving it a memory, what did they even mean?
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  Speaker 2: So it's almost like teaching the AI to take notes
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  Speaker 2: as it reads, right, right, Because these large language models,
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  Speaker 2: you know, they have a limited window of how much
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  Speaker 2: information they can process at once.
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  Speaker 1: It's like their short term memory or something exactly.
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  Speaker 2: It's like short term memory. So you know, if you
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  Speaker 2: feeded a whole research paper.
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  Speaker 1: For example, Yeah, it's a lot of info.
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  Speaker 2: There's a good chance it's gonna forget what it read
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  Speaker 2: at the beginning by the time it gets to the end.
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  Speaker 1: Oh that makes sense, okay, right.
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  Speaker 2: And that's where this technique comes in.
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  Speaker 1: Okay.
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  Speaker 2: You can train the AI to basically summarize each section
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  Speaker 2: as it goes, and it creates this kind of condensed
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  Speaker 2: version of everything it's.
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  Speaker 1: Learned, so later on you can ask it about the
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  Speaker 1: whole thing.
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  Speaker 2: Exactly instead of just like the last couple of paragraphs
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  Speaker 2: it's processed. That's really cool, right, It's a game changer.
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  Speaker 2: You can say, like, hey, you know, what were the
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  Speaker 2: key arguments against this particular theory.
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  Speaker 1: And it can go back and pull from the whole thing.
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  Speaker 2: It remembers from the whole document, not just the conclusion.
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  Speaker 1: That would have been so helpful for like my thesis.
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  Speaker 2: Oh my gosh, right, think of all the time it
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  Speaker 2: could save you.
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  Speaker 1: Okay, So we're giving our AI a long term memory.
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  Speaker 2: Now, exactly, extending that capacity.
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  Speaker 1: Love it. Okay. So, speaking of like getting more out
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  Speaker 1: of AI, there's another advanced technique that I wanted to
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  Speaker 1: ask you about, and it's this idea of making the
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  Speaker 1: AI think before it speaks.
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  Speaker 2: Yes, it sounds kind of strange when you say it
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  Speaker 2: like that.
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  Speaker 1: It does sound a little strange yeded like what does
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  Speaker 1: that even mean?
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  Speaker 2: But it's really cool, I promise, because you know, sometimes
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  Speaker 2: if you just ask the AI for an answer directly,
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  Speaker 2: it might just rush to a conclusion, you know what I.
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  Speaker 1: Mean totally It just wants to please.
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  Speaker 2: Yeah, it wants to give you an answer, so it
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  Speaker 2: might jump the gun a little bit and miss some
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  Speaker 2: of the nuance.
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  Speaker 1: You know, Yeah, like that friend who just blurts out
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  Speaker 1: an answer before you've even finished asking the question exactly.
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  Speaker 2: But if you actually prompt the AI to kind of
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  Speaker 2: walk through the problems step by step, almost like show
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  Speaker 2: its work, you know, Okay, it often arrives at a
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  Speaker 2: much more nuanced and a much better reason to answer.
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  Speaker 1: Oh interesting, So you get a better result and you
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  Speaker 1: get to see how it got.
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  Speaker 2: There exactly, Yeah, which is so valuable because it allows
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  Speaker 2: you to understand like it's thought process.
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  Speaker 1: You get to peek inside its brain a little.
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  Speaker 2: Bit exactly, and that can help you refine your prompts
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  Speaker 2: even more, right, because the more you understand how it's thinking,
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  Speaker 2: the better you can guide it.
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  Speaker 1: Wow, Okay, we've covered some seriously cool stuff today. I
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  Speaker 1: feel like we've gone from like AI one oh one
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  Speaker 1: to some seriously next level stuff.
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  Speaker 2: That's a whole new world, isn't it.
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  Speaker 1: It really is? So any final thoughts for our listeners
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  Speaker 1: before we wrap things up today.
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  Speaker 2: You know, I think the biggest takeaway here is that
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  Speaker 2: prompt engineering it's not this mysterious art, right, It's not
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  Speaker 2: just for like coding geniuses or AI experts.
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  Speaker 1: It felt a little intimidating at first.
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  Speaker 2: I'm not gonna lie, right, but like we were saying,
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  Speaker 2: it really is a skill, you know. It's like learning
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  Speaker 2: a new language. Yeah, And like any language, the more
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  Speaker 2: you practice, the more fluent you become.
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  Speaker 1: So it's really about understanding how to communicate effectively with
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  Speaker 1: these really powerful tools.
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  Speaker 2: That we have exactly, and they're just going to become
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  Speaker 2: more and more prevalent in our lives, right, So the
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  Speaker 2: better we are communicating with them, the better equipped will
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  Speaker 2: be to actually use them to our advantage.
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  Speaker 1: That is a great point to end on. That's it
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  Speaker 1: for today's deep dive into the world of prompt engineering.
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  Speaker 1: Until next time, keep experimenting, keep learning, and keep talking
• 10:12
  Speaker 1: to those ais. Everyone,