The Role of Generative AI in creating realistic Personas
AI Generated image

The Role of Generative AI in creating realistic Personas

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So, you've probably tired of hearing about Generative AI, right? But it's so fascinating, that we cant let go!

In all this there's this buzzword floating around - "prompt engineering". Sounds fancy, and it's actually pretty impressive. Think of it like being a sculptor, but instead of chiseling away at a block of marble, you're shaping the responses of an AI model. It's all about teamwork between us humans and our AI buddies.


SYSTEM MESSAGE vs. PROMPT ENGINEERING

In the context of generative AI, system messages and prompt engineering are closely related. Both are techniques used to guide the AI's responses and behavior, but they serve slightly different purposes.

System Messages:

System messages are instructions or guidelines given to the AI model before the conversation starts. They're like the initial setup or context for the AI. For example, a system message could inform the AI that it's an assistant trained to provide information on a specific topic, like generative AI or cooking recipes. This helps set the stage for the AI's responses throughout the conversation.

Prompt Engineering:

Prompt engineering, on the other hand, is more about crafting the individual prompts or inputs given to the AI during the conversation. It's a way of fine-tuning the AI's responses by carefully designing the questions or statements fed into the model. For instance, instead of asking the AI a vague question like "Tell me about dogs", a more engineered prompt might be "Describe the characteristics and behaviors of Golden Retrievers". The latter is likely to elicit a more specific and useful response.

So, how do these two relate?

You can think of system messages as setting the overall context or 'personality' of the AI, while prompt engineering is used to guide the AI's responses on a moment-to-moment basis. Both are crucial tools in shaping the AI's behavior and ensuring it provides useful and relevant output. They're like the director and the script in a play, guiding the actor (in this case, the AI) to deliver a compelling performance.


PERSONAS

Now, let's talk about something we all know and love - personas. You know, those detailed profiles of imaginary folks that marketers, designers, and developers use to understand their audience better. Well, guess what? Our friend, Generative AI, is getting pretty good at creating these personas. And prompt engineering plays a big part in this.

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Face of a Female, 35-50 years old, Latino Hispanic. Generated by https://this-person-does-not-exist.com


But before we dive into that, let's take a moment to appreciate how important these personas are. In the world of innovation, personas are like a compass, guiding innovators to create stuff that people actually want. In service design, they help designers visualize who they're serving, so they can tailor their services just right. And for market researchers, personas are like a window into consumer behavior. So, creating realistic and diverse personas is super important, and that's where Generative AI comes in.

Imagine feeding our AI friend with all sorts of data about different people, their behaviors, likes, dislikes, you name it. And then, voila! It generates a bunch of unique personas, each with their own quirks and characteristics. It's like having a persona factory at your fingertips!


Alright, enough chit-chat. Let's get our hands dirty with some fun experiments using ChatGPT Plugins! (If you have access to ChatGPT Plus, I highly recommend you do your own experiments. It will take only a few minutes!)


Experiment 1: Let's Do Some Digging

First up, we'll use the WebPilot plugin to look at my LinkedIn page and generate personas based on the visitors.

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Image with the list of top 10 personas based on LinkedIn profiles


Experiment 2: What's the Word on the Street?

Now, let's use the Yabble plugin to whip up a market research. We'll ask folks in marketing, design, and development what they think about AI-generated personas. Are they a hit or a miss? Let's find out!

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Result of a market research using personas from marketing, design and development teams.


But, the most amazing learning was the process of "generating personas" to answer questions about personas...

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Synthetic Data: Genarating personas to simulate how they would answer the survey/market research.


Experiment 3: Chatting with our AI-Created Persona

Finally, let's have a chat with one of these AI-generated personas. Using the ChatGPT plugin, we can simulate a conversation and see how realistic it feels.

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Chat with one of the personas suggested by the experiment #1


So there you have it! Generative AI is changing the game in persona creation, and it's super exciting. As we continue to explore and experiment with prompt engineering and other techniques, who knows what amazing things we'll discover. The future's looking bright, and we're just getting started!

Vagner Antonio da Silva

Machine Learning Engineer Senior at Itaú

1 年

Show de bola!!!

Fernando Constantino

Managing Director - Accenture Data & AI | MIT-Sloan Fellows MBA

1 年

Pretty good read. Thank you for sharing

This one made my day, Roberto!

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