Artificial intelligence apps you need to know about

Caitlin Sarian breaks down three types of AI: algorithmic (rule-based), machine learning (pattern-based), and generative (text and image). She recommends being specific with prompts, using chatbots to draft scripts and tighten emails, and checking sources when using web-connected models like Gemini.
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She is the Internet's go to expert for all things cybersecurity and privacy, known to millions of followers across social media for making technology easy to understand.
That's right. She knows her stuff. She's here to break it all down for us on how to understand, use and apply artificial intelligence, along with some of her most helpful tools. Please welcome Caitlin Siri, AKA Cybersecurity Girl. Good to see you.
Thank you so much for having me. I appreciate it.
So AI is just about everywhere. In fact, most of us use it every day and don't even realize it. How so?
Yeah, I mean, AI has been like the buzzword, especially last year, but what people don't realize is it's been around for a while. So there's a lot of types of AI and I'm going to go through a few that are the most popular. So we can kind of understand how AI has been intertwined into our lives and also see the different types of AI that are currently right now. So there are. Let's first define AI, first of all. So AI is actually just technology that mimics human intelligence. So decision making, writing, whatever, reading, even writing scripts, you can do whatever you want with artificial intelligence. But there's so many types of AI that, that actually have been. So the first is algorithmic AI, and this is something that's been around for quite some time and it really follows a set of rules to process data. So we can think about the email spam filters, right? Like they're the. What happens is there's an algorithm that says, hey, if an email sender looks like this, send it to spam, because this is probably a spam. So that's algorithmic AIs. We also have machine learning and this is where it gets a little bit more complicated because it starts processing patterns and realizing patterns and then learning from there. And so we can think about this as pretty much every Netflix recommendation that you get or the Instagram algorithm that's giving you what they think that you would want, that is machine learning. And then because I got so popular last year, we can start thinking about generative AI. And that's literally what it sounds like. It's generating text, images, etc. So that was what really put AI on the map last year. But we've had AI for quite some time. Yeah.
And that generative AI, we've heard those buzzwords, chat, GPT, Gemini, you say that these can actually be really useful tools for us. So how do we use AI and sort of get the max out of it?
We're all years.
Yes. So I don't know what I would do if Chatbot wasn't in my life. So I like to call Chatbots my. My brainstorming buddy. Right. The key with ChatGPT, and honestly, any AI is to be very specific with your prompts. So what people usually do is just ask it a general question and it's going to spit out a very generic general answer, which really doesn' so chatgpt can be used for pretty much anything writing. You know, I use it to generate scripts and also make sure that my emails are concise. I'm not the best at writing. I was a math person. So I absolutely love being able to plug in an email and say, hey, can you make this more clear and concise? It really does help with brainstorming and again, being very specific. So sometimes I have it actually help me generate scripts for my videos that I put online and I'm like, but I have to be specific, right? So I'll give it a examples of scripts I've used in the past that have done well and say, hey, this is my writing style. Please understand, learn it and give me back a similar script for this topic. And again, you kind of have to tinker with it and play with it. And the other thing is you have to be very mindful of the sources it's coming from. And that's Gemini, where we bring in Gemini, and that was made by Google. And that's different than Chatbot because it's open source, so it's constantly searching the web for your answers.
That's really interesting. Caitlin, thank you so much for being here with us today.
Thank you.
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