Marketing Happy Hour - Introduction to AI + ChatGPT: What You Need to Know | Elise Victor
Episode Date: May 4, 2023This week, Erica and Cassie sit down with AI and ChatGPT expert Elise Victor: a part-time teacher at the University of North Texas, host of an AI speaker series, and founder of TheRAM.ai, set to launc...h this year. Elise shares her best tips to familiarize yourself with AI and ChatGPT as well as the marketing use cases for these tools that can be an incredible addition to your content creation strategy. Here's a peek at what we cover in this episode: [00:03:40] - Elise walks us through her journey into AI and ChatGPT and explains how we'll see a transformation in the marketing industry with the introduction and development of AI tools. She also provides comfort around job security as these introductions and developments are made. [00:09:36] - Elise shares how marketers can utilize ChatGPT in their roles to write copy, help with language translation and competitive analysis among many other use cases, and addresses concerns around plagiarism when utilizing AI tools. [00:16:12] - Elise uncovers the keys to effectively utilizing ChatGPT: having clear, ultra-specific and detailed goals and knowing how to prompt the tool. [00:22:29] - Elise tells us the differences between ChatGPT and GPT4 and their data limitations. [00:26:33] - Elise shares her best tips (including safety measures) for first timers utilizing the AI tools available, and additional tools to play around with like Canva, Midjourney, Jasper, Claude, Zapier, Originality AI. Grab a drink and listen in to this week's Marketing Happy Hour conversation! ----- Other episodes you'll enjoy if you enjoyed Elise's episode: Content Creation + The Future of Digital | Ashlie Head of L'Oréal Content Marketing 101: Creating an Effective Social Media Presence | Elyse Estrella of Wine Enthusiast ____ Say hi! DM us on Instagram and share your favorite moments from this episode - we can't wait to hear from you! NEW: Download the Dream Career Game Plan! NEW: Check out our website! NEW: Join our email list! Connect with Elise: elisevictor.com Follow MHH on Social: Instagram | LinkedIn | Twitter | TikTok Subscribe to our LinkedIn newsletter, Marketing Happy Hour Weekly: https://www.linkedin.com/newsletters/marketing-happy-hour-weekly-6950530577867427840/
Transcript
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you're listening to the marketing happy hour podcast where we discuss career and industry
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together. Are you ready? Grab your favorite drink and join your hosts, Cassie and Erica,
for this week's episode. Hey, Marketing Happy Hour listeners,
welcome back. Okay, so we've all heard the buzz around AI and ChatGPT, but what do we actually
need to know about it in order to utilize it as a tool to help us in our everyday
tasks? Well, we're excited to welcome AI and chat GPT expert Elise Victor to the podcast today to
share her best tips around AI and how it can be an incredible addition to your content creation
strategy. You'll definitely want to grab a pen and paper or open your notes app as you tune in.
So definitely do that. Grab your favorite drink and learn with us.
Elise, welcome to Marketing Happy Hour. Thanks so much for being here. How are you today?
I'm doing well. Thank you so much for having me.
Absolutely. We were just talking off record. AI, chat GPT, there are topics that we wanted to
cover for quite some time. And I actually stumbled upon your posts from a friend who commented on one
of your posts. And I have enjoyed following your content so far. So super excited to hear about
your experience in that world and just dive into the world of AI for the first time really on the show.
Great. Well, I'm excited. Thank you. Absolutely. Well, we have to kick off first with a very important question. Elise, what is in your glass right now, or what do you enjoy sipping on,
whether alcoholic or non-alcoholic, just any time of the day?
Sure. So I have a water and then I also have, um, I've been kind of dabbling in tequila and, um,
there's a tequila that it's kind of like a Bailey's it's called 1921. And so it's not
super strong. It's more, if you have like a sweet craving and just want a little bit of something.
And so I have that since it's not too late in the day. So I can have a little bit of that,
some water and, uh, yeah, it's, it's delicious.
If you haven't tried it in 1921.
Oh my gosh.
I have not heard of that, Erica.
I'm curious if you have, but I'm a, I'm pretty simple right now.
I was a little bit under the weather last week, so I just finished a tea, but I have
water, a big glass of water as well.
Um, so pretty basic, but what about you, Erica?
Yeah, I just have my trusty little Stanley cup full of water.
I feel like I'm hydrating so well these days now that I have that though.
But I also have a glass of bread, bread and butter, I think is the brand Chardonnay.
I don't know if I'll dabble too much into that right now as we're recording, but probably
right after Cassie and I have like a planning meeting
right after, so I'll probably step on it then. But very, very excited just to echo Cassie here
to talk all things AI. Let's just dive right in. When did you start in the whole world of AI? Tell
us about your journey there. Yeah. So I'll kind of go back a little bit to give you the bigger picture.
My undergraduate major was in marketing.
So I have a bachelor's degree in business, and I was really on a marketing track.
I started out working for Universal Studios in their marketing department, kind of pivoted
over to finance.
And then I had several kind of consulting jobs.
I worked for an investment bank and fun fact, the hedge fund I worked for in New York is actually, if you've seen the, um,
Anna Delvey, uh, Netflix. Yeah. So it was the one that she couldn't scam out of the $20 million or
whatever. So I'm working with the CFO of that company. Um, and then after kind of a long
stint in finance, I decided I wanted to go back
to school and went into a healthcare career. So I got a master's in healthcare administration
and went and worked for several insurance companies. So kind of on the insurance side.
And then I went to the provider side and did some consulting. After that, I'm also a mom. So I have my youngest child. When
I had him, I couldn't do the travel anymore. And I thought I wanted to go back to school.
And so that's when I went back and started my doctoral studies. And through that, I started
teaching. And it was about 2020, I took some courses that were related to AI and really started to just find out how
interesting AI was. I became board certified in AI and medicine. So really had a healthcare
AI focus, but more in the startup space because I've had a lot of business background.
So that's really where my interest in AI started. And then it kind of just exploded with chat GPT. I'd always had an interest and it wasn't
so much focused in generative AI, but once this came along, I haven't always been very active as
far as posting on social media and really amplifying my voice in that way, but I started
to do that. And so that's kind of how I came across, you know, meeting the two of you. And yeah,
I've just kind of fallen in love with sort of all aspects of it. And then thinking about how
I can apply it, not just in healthcare, but also in business and in education, I'm still teaching.
I teach at the university of North Texas part-time. So there's just so many different
areas where AI can be applied. And so I'm just kind of on this AI journey at this
point. Oh, that's amazing. Well, I definitely see your background in marketing poking through and
especially education too, because you have certainly established a wonderful thought
leadership on the topic on LinkedIn. So again, like you mentioned, that's where we found you
and just really great educational
content on there, but also very visually appealing and it really draws you in. So you've done a
fantastic job there so far. And thank you for sharing your journey with us. It's very impressive
to hear about all of that. But want to quickly acknowledge the elephant in the room. I know
there's a lot of people who are embracing a chat
GBT and AI with open arms, and they're very excited about using it, implementing it into their
roles and just the brands that they're building. But there's other people who are very cautious
and they're like, is this going to take over my role? Am I going to be out of job in six months?
And so, you know, speaking to not only the marketing industry, but just jobs as a whole,
where do you see that going with the world of AI? Do you feel like jobs are at risk or how would
you kind of acknowledge that simple struggle or fear that some people are facing right now?
I don't think it's an unreasonable fear, but the way I like to see it is that we'll see the jobs transform. Some,
some things I do think will become obsolete, but I think we're really gearing up for more of a
transformation and we'll see that a lot in, in marketing. And it's really going to be gaining
efficiencies. It's automation. It's understanding, you know, where maybe less time can
be spent on certain things where, you know, chat GPT or whether it's chat GPT or some other AI tool
can do that. And the people that are in those roles can then focus more on the critical thinking
tasks and the strategy behind it. Because even if, for example, you have chat GPT can create
a piece of content and it can, they can, it can happen much faster than maybe a person would have
written it. There's still a need to obviously go through that content and also to plug that into a
broader strategy where, you know, that's got to be developed or vetted at the very least by the
people that are in those roles. So I think, you know, rather than a takeover, I see it more as
a transformation and it's, and it's the people in those roles, learning how to use the tools,
how it will apply, where the weaknesses are and, you know, filling that in with their expertise.
Yeah, that's really great. I know I personally am not in a
corporate role anymore, but being on the business ownership side, I've found that it's really
saved me a ton of time. Like you mentioned with a lot of that foundational planning for campaigns
or writing website copy, writing blog posts. So whereas maybe traditionally it would take me
three hours to create
a piece of content, it's now taking me an hour because I'm cutting down on that front load
process. So that's been really exciting for me, but that kind of goes into my next question for
you specifically thinking about marketing content creation. What are some ways that you feel like
marketers can use chat GPT and would love to also just hear
from your experience building your brand on LinkedIn how you've used that for creating your
content when speaking to those AI platforms sure so I think you know obviously chat GPT it's a
language model it's going to excel at you know know, a lot of those language tasks, you know, given the data
that it was trained on. So that's, you know, writing the blog posts or at least outlining,
coming up with, you know, brainstorming, using that for idea generation, even product
descriptions, things that are even kind of those more mundane and, you know, like a product
description. It's not using a whole lot of, I guess, you know, the type of creative fuel that you would necessarily use when you're
creating a blog, website content, social media posts, you know, emails. I mean, there's just,
I feel like a number of things where you could do. And once you get into the automation piece,
if you think about how you can use the automated, some of the automated tools that would
link to ChatGPT to respond. So for example, you know, social media posts, you don't have to go in
and answer every comment. Maybe you've, you are able to automate that aspect of it. So I would say,
you know, writing copy. Also, I think people don't necessarily, people know this, but maybe
aren't tapping into it or really thinking about how they could use the language translation
piece. ChatGPT is very good at translating many different languages. So, you know, that tool,
you can competitive analysis. And, you know, I do want to always mention that chat GPT does get things
wrong. It's always important to fact check, but on, on the whole with, you know, generating content
and that type of thing, I mean, it's very strong at doing so. I just, I want to make sure that
people know just because it comes out of a chat GPT doesn't mean that it's, it's fact. And that requires,
you know, that keen, you know, marketing eye and that experience to know too. And I, I will say,
I, I experience this and deal with this with students when they write and they use chat GPT,
you'll have students that don't, that aren't very proficient in writing. So they think that everything that comes out, they can't critique it because it just
looks wonderful to them. And so if you're not, if you're not astute in kind of that space, you
aren't able to distinguish between what, you know, may or may not be strong in terms of the output
that you're getting. And that, you know, also helps you form, you know, and kind of iterate in terms of what you're asking chat GPT to give you.
So I think part of that marketing expertise, and that's important to, you know, really point that
out is knowing what to ask for and knowing if what you're getting is good. And if it isn't
how to go back and get the right information or the good content. Yeah, that's awesome.
And I am like not experienced at all with ChatGPT
in any capacity.
I think I looked at it for like three minutes one day
and like asked it some silly question
and like wanted to see what it said.
And other than that, I haven't used it at all.
So it's interesting because Cassie uses it all the time
with her clients and with her own personal,
you know, pieces she's writing for our website and just for her personal social media. So it's
just really interesting to see, you know, from my perspective, I don't, you know, have a lot
of experience and Cassie does, and you are basically an expert in the area. So it's,
it's definitely interesting to me. One of the big questions that I have when it comes to content creation from, you know,
chat GPT in general is how do you ensure that you're not plagiarizing anyone else?
Because it is drawing from all of these different, you know, from my understanding is drawing
from all of these different sources on the internet.
How is, how does that, how does that manage? So ChatGPT, it's not likely that you're going to get output that is plagiarized.
It is generating really new content for you.
And that is based on all of the vast training data.
And so it's putting together sort of new words.
We kind of argue semantics sometimes in education where,
you know, if a student's turning in an essay that's written by chat GPT and they don't credit
chat GPT for it, I mean, technically that falls under the umbrella of plagiarism, right? Because
you're not crediting the source, but in, in marketing and sort of in the rest of the world,
that's a little gray.
But if you're referring to just, you want to make sure that this entire paragraph is
not taken from someone else's paragraph that's on the internet.
And it can happen more rare, but inadvertently, something could happen.
It would be a good idea to run the content through, you know, maybe a plagiarism
checker, depending also on what parameters people are working in, they may want to have their AI
written content appear lower than it actually is. So, you know, given, you know, whatever,
like I said, their parameters are not I'm not suggesting people try to pass off
AI content as their own or not, but I know there's some things when it comes to SEO that people are
concerned about. There are really good AI detectors out there. Originality AI is specifically
intended for kind of marketing and copywriting. So that is one tool. I will preface that by saying they just recently
did an update. And what's happening is that even with human written content, it's so sensitive that
it's flagging. I put in something that I wrote and it said it came back at 17% AI and I wrote
it 10 years ago. So I was just testing it. And that's with their new update. So you just have
to be careful. But I would say if
people are concerned about that, that is probably the best tool that I've tried. And I've tried a
handful of them. Awesome. Yeah. Thank you for that. That's been on my mind since day one. I
heard about chat GPT. I was like, how do you know that it's not just like taking other people's
information and then like you're putting it out as your own. So I really appreciate that. That's a great tip there. And one of the posts that we saw on your LinkedIn page kind of
caught our attention. That was how to master chat GPT fast. A lot of marketers are using the tool
to create content and brainstorm for campaigns, but many aren't using it correctly. And even from
my perspective, I haven't used it at all yet. So curious to hear
your perspective on the key to, you know, effectively using that platform.
Yeah. So I think the key to understanding or to using ChatGPT effectively is to have
clear goals going into it. So I know even myself, when I was first using it, you know,
you just put in kind of some, some questions, like you said, and see what the output is. But if you step back and think about, you know,
what your goals are in terms of using ChatGPT and have that drive your prompts. And so your prompt
is going to be like your query or your question that you put into ChatGPT. The more detailed that
that can be, the more context that you can give chat GPT, the better
your output. So it's like garbage in garbage out the, and it's really the same concept with this.
So you have to be very specific with chat GPT, because if not, it won't narrow the universe of
kind of potential output that you get to sort of the scope of what you want to work in.
So for example, if you just, you know, put in a kind of a generic prompt, it can use,
it can, it will pick the context for you.
And actually this is a little bit more technical than you probably need to know, but it will
essentially assign the context.
So if you say, but I'm, I'm a marketer, so act as a marketing expert and we're providing, you know, we're creating a
blog post for X, Y, and Z that will be used in this context to target this specific audience,
right? So all of that specificity will lead to a very clear and, you know, output that you would
be looking for. Now, the one thing that I would say is a group of people.
So how could we do that better?
And I find that if you do that, you know, two or three times, you end up with a much
better response.
And some of it's, you know, it's trial and error, but it's essentially learning how to
prompt.
And it's not that complicated or complex.
It's, you know, in the post, I think that you saw, I broke it down to just say like, who, what, when, where,
why, and how, right? Though, if you, if you're thinking about those kind of five things,
six, I guess, what the hell, um, and developing your prompts based on that,
you're going to get much better output than, Oh, create a blog post for me about, you know,
cats or whatever, which is what I think the, the, create a blog post for me about, you know, cats or whatever,
which is what I think the, the trap that some people fall into is like, they don't know. And
they just have this interface and a search, what looks like a search bar. And so they're,
they're not sure what to do with it. Um, so you can really harness the power of it. If you,
if you're very clear, that's great. Thank you for that. Do you have any tips too about um you know I know there's a couple
different ways to train the tool and and someone said I can't remember where I found this but
someone said teaching it like an assistant so when you first start using it it doesn't quite
understand who you are what you do your tone of voice but over time it learns as the more and
more that you use it and interact with it. So
for marketing, you know, a lot of these different brands obviously have their own brand voice and
the way that they write the style or the tone. Any tips on training chat GPT, how to speak in
your tone while also keeping in mind that that's something that you may need to edit and tweak afterwards, but hopefully getting it a little bit more on point for a final output that you'd hope
to use for a blog or social media content.
Yeah.
So one of the things as far as training chat GPTs, um, when, okay, let me back up.
A lot of people kind of have the misconception that once they start interacting with chat
GPT, that it kind of knows them from that point on.
And all of those conversations are sort of in chat GPT's memory.
So if you, let's say you have 10, um, conversations open on your left and they're all different
topics, chat GPT, the way that it's set
up right now, and for most users that are interfacing with it in the chat mode, that is
not going to remember the context of all of those conversations. So it has only the capacity,
depending on whether you're using GPT-3 or 4, of maybe 3,000 to 6,000 words. So what that means is if you have, you know,
a conversation from three weeks ago about, you know, writing, you know, doing a brand campaign
or something, and then you've had a bunch of subsequent conversations that have exceeded
those words, when you go back to that, you're going to have to prime it again. So that's an
important thing because I think a lot of people are using it and they're like, oh, I'm going to
go back to my old conversation. And it's going to remember that we talked about this campaign.
I'm just going to ask a question. It actually isn't. So if you think of it as kind of this
one brain and it only has the capacity to remember that, you know, the certain amount of words.
So the key to that is that you can save
or keep your prompts to prime it. So if you're going to go back to the conversation about the
campaign, maybe pull, you know, the necessary points about that and do a refresh of, you know,
that conversation. And then you ask the questions, otherwise it's not gonna have the context and you might mistakenly think that it does.
So I think that's the key thing.
And with that, I keep my prompts in Notion,
although I have them previously in ChatGPT,
but the priming thing,
if I know I'm gonna go back and talk about X or Y topic
and I just need to put that in there,
I have it all saved in Notion
and I can just copy and paste it back into ChatGPT. Awesome. Elise, thanks so much for all of your
advice so far. And you talked a little bit about, you know, the differences between chat GPT and
GPT-4, which I guess one has more capability of memory than the other. What are some other,
you know, differences between the two and should we be utilizing both or is
one better than the other, you would say?
Yeah.
So chat GPT is OpenAI's chat interface.
So that is essentially when you go to chat.openai.com, you're using and you're communicating back
and forth.
Chat GPT, there's a 3.5 and a 4.
Now those are both built on the GPT architecture.
And so there's the chat interface
that people are generally familiar with.
And then you can also have another,
or your account can access the API,
which we can call the backend.
And that's really what Chat GPT call the backend. And that's really what
chat GPT is built on. And that's where developers can also build their other AI tools using the GPT
architecture and infrastructure. So as a user, you can actually go and access that. GPT-4 though,
there is a wait list currently. So I'll just, I'll explain the, I guess the distinction between the two. So
GPT-3 is almost two years old and it is actually 3.5 now. And then the GPT-4 just came out.
They're both, you know, very strong language models. Their information, I also should have
probably pointed this out earlier too, it ends as a cutoff date of September 2021.
So it is not going to have current data, unless you're using maybe a browser extension or you have a plugin or something, but essentially the information in chat GPT or GPT 3.5 or 4 ends at September 2021.
So it's just important to know that. And essentially,
if you're using, so the chat GPT interface, you have a limitation, like I said, of as far as its
memory or tokens, it's referred to about 3,000 words, GPT-4 is 4,000 words. The output, if you
do a side-by-side comparison, it's much more robust in terms of,
you know, what you get, the depth of information, how, you know, the context, the understanding,
the sentences that are put together in GPT-4 versus 3.5. So if you can get access to GPT-4,
that I would highly recommend that as a marketer, you would be paying the $20
a month. So they call that GPT, ChatGPT Plus, and you have access to that. Now, if you want access
to GPT-4, like the developers have, and I have that, I'm not a developer, but I use the backend
because it allows you to, so first of all, in
order to have access, it's free. But once you, you have access, there's this area back there
called the playground. And I know it sounds complicated, but if you, if you log in and do
it, it really isn't complicated. It's just maybe, you know, the first time you get in there, it's a
little different. You can control some of the things like the randomness in terms of the language output.
There are different controls that you have as far as what you get in output.
And sometimes it's more beneficial if you're creating a longer piece of content to use
the GPT kind of one-off back end versus the chat interface. That is more designed for like a back and forth dialogue
if you're having. And so, you know, there's benefits to both, but you can customize your
output more if you do get familiar with the backend. And so you can kind of manipulate what
you get out of the, you know, the model.
Awesome. Yeah. Thank you for that. And you mentioned this, but all of this topic as a whole can get overwhelming, especially as a first timer and not ever using it before. So
do you have any just basic tips for getting started? Let's say, so for Erica, for example,
if Erica wants to get started today, where do you recommend
that people begin? How would you recommend using it for a first timer as you get in there and
really start getting more and more advanced with it? I would say definitely start with the chat
interface, you know, and that is with the 3.5. It's free. You can sign up and just start using it with and creating, you know, more detailed prompts
and comparing what the output is.
And, you know, once you get really familiar with that, and if you, you know, put yourself
on the wait list for chat GPT for chat GPT plus, and, you know, once you get access to
that, you can use that.
Starting out, just use the free, you know, chat
GPT 3.5, get familiar. And I would say, learn the prompting, understand sort of the context of what
you're putting in and compare the output and kind of really understanding what it can do for you.
And, and then from there, you know, as you evolve and, you know, get more familiar and comfortable with it. And
it's really, it's not, I don't want to make it sound like it's this big machine and it's very
hard. It's just, you know, it's just different. Then I'd say, consider, you know, getting access
to the API, using that to do that. It is free, but you are charged, you know, per word is essentially
what it comes out to. It's not super expensive, but it is
different. And in addition to that $20, if you are paying for GPT, chat GPT for.
Awesome. Thank you for that. And I know we, we bounced around a couple other platforms
during this discussion, but any other specific AI platforms that you recommend marketers or
creative professionals being on
using on a regular basis? I know there's a lot of image creation tools, Canva, I know has AI
built into it now. So anything else you'd recommend us looking into? Yeah, I was, I mean, Canva,
of course, I know a lot of marketers have access to other, other tools that kind of are, you know,
Adobe and probably far better than maybe what maybe what you could do in Canva.
I don't know.
Canva might give you a run for your money though.
I used Canva this morning
and you can actually go in and add a feature
where you can upload your own image
or they have stock avatars
and you can give it a script as AI
and it will speak in a presentation.
So it's really cool.
I actually have a TikTok that I put like a lot of snippets on of, you know, just how to do stuff.
So I created that video this morning and it's really cool. I had an AI generated image of my
husband. So it wasn't even him. And then I gave him a script and it has him speaking as like his AI avatar.
That was all in Canva, which is like,
you know, it's crazy that you can think Canva can do that.
You know, and they also have text to image.
I don't, you know, as a marketer,
I would highly recommend getting familiar with Midjourney.
If, you know, the only thing is it's not as user-friendly. I mean, you, if you have a
discord already and you're, you're using that, but you do have to go through discord. So if you go to
mid journey, then you get into discord, but you can create, I'm sure you've seen like, was like
the Pope, you know, the, all those images and like had Trump and all those, the things that
were like, so realistic, these hyper-realistic images, but it's incredible.
And if you can just go in there, I mean, I think as a marketer, you should be familiar
with that and understanding like how you can just put words in and generate actual lifelike
looking pictures.
And, you know, people are using that.
You can use that in your, you know, your content, at least the mid-journey output, and you probably
have to check user agreements
and things for different generative AI as far as images.
But I do know that.
So I'd highly recommend that.
I think a lot of marketers are familiar with Jasper
as far as creating content.
If people haven't heard of Claude,
that is another language model
that was created by Anthropic.
So I think they, right now I've tried it.
It's not as good as ChatGPT,
but you have to,
and you have to go through Slack to try it.
I've tried Google Bard.
I've tried the Bing chat.
Again, nothing has impressed me like ChatGPT,
but I see a ton of potential in Google.
I was pretty disappointed when I first
tried it when they launched a little over a month ago, I think it was. But in just three weeks,
they have languages now. They didn't. It's much better. So I think Google can probably put out
something really great. They're working hard. So I definitely would say to try that tool out.
Zapier, I don't know if you guys are familiar with that, but as far as the automation and you can pretty much automate
anything with that. Let's see. And then the originality AI, I'd mentioned that as far as
the AI detection. So that is definitely one that I would say marketers should be familiar with.
Awesome. Awesome. And I know all of these details
and these platforms are changing on a daily basis. So really curious to see where the future is with
this. But as we close out our conversation on AI, and this has been so incredibly helpful,
any other need to knows, tips, insights that you can share with us just for using these platforms for internal, you know,
development, internal content, internal brainstorming, or external content or anything
that's being published out on the internet? Yeah, I think the biggest thing to remember
is you're not going to want to put proprietary or personal information in into any of the AI tools.
We are still kind of in the wild west when it comes to a lot of AI tools that are built on chat
on GPT-3 and 4. So, you know, almost anyone can create an AI tool, right? So you're going to
really want to look and understand, you know,
maybe who's behind it before you just start putting information in, or if it's just something
benign and you're testing it out, that's fine, but you really want to be careful. And if you
are working for an organization, you're not going to want to, and especially in the area of brand,
you know, marketing, brand marketing, things like that. Just be cognizant of what you're putting into any AI
tool and even chat GPT, because, you know, we've seen in the media recently, you know, like security
is, it's a big issue and big companies are not going to want their proprietary stuff being put
into any language model. So I just say, be careful of that. If you're using it for your resume, say same thing. I mean, you know, put the content in, but maybe like crop out your,
don't include your address, your phone number and all of that stuff. And just be mindful of that as
you're using any, any AI tool. Yeah, absolutely. That's another concern that, you know, I have as
someone who hasn't really been using it is brand safety,
especially when it comes to using it for a brand.
So yeah, that's super interesting.
And I can see how you can use it without giving away that proprietary information.
It's kind of just like a tool to help you brainstorm and to help you partner alongside
that tool and then create the content from there. So definitely
agree with you there. Well, this has been super awesome. We just love to ask this question to
close out the show. What do you know now that you wish you knew early on in your career?
Gosh, well, I would say I wish that I knew everything would work out.
And I do think that I think when you're younger or early on in your career,
I think you put a lot of emphasis
on sort of where you are and what you're doing
and maybe don't always try out new things
or are willing to take the risks
if you're interested in kind of a different area.
And I say, I wish I had taken
more risks or done more things that I would have wanted to do earlier on in my career. I remember
when I was 26 and I was like, oh, I'm just too old to do this. And it's, and you're just, you're not.
And you think that, and I think the young, when you're young, you think that, and, oh, you just have nothing but, but time. I mean, I, you know, just if there's something
that's of interest to you and you really want to explore it I would encourage people to do that.
And I wish I would have done that with other things than kind of boxing myself in and saying,
oh, I'm too old to do this. And then I look back and I was like, I was so young. I could
have done all of these things. And you know, that's, yeah, that would be my advice.
Yeah.
That's a really good tip.
I know I've certainly fallen into that myself and it's, it's good just to look back on all
these different unique experiences and know that they're all adding to your future and
what you're building in the future, whether that's your own business and corporate or
what have you.
And, um, so thank you for own business and corporate or what have you. And so thank you
for that. That's always a great reminder. Well, Elise, this has been fantastic as well. Thank you
so much for all of your insights. Certainly learned a lot and I'm excited to get back into
chat GBT and these other platforms and continue to play around. But where can everyone follow
along with you and everything that you're doing? I know we talked a lot about LinkedIn. You have a great presence there. Um, so just tell us where all we can connect with
you. Uh, they can, anybody can find me at Elise victor.com. So it's spelled E L I S E and then
V I C T O R.com. And from there, um, they can find all my social links. Um, I have a, actually a,
like a beginner's guide to how to prompt too. So it's in
the, if you go to the downloads tab and that will walk you through not only just, you know, getting
to open AI, signing up for an account, and then gives you some initial prompts and how to get
started. So like if it's zero, you've never touched it before, that's a really good tool.
And even if you've used it, but maybe not maximized, um, that's helpful. And that's just
a free, you know free PDF download for anybody.
Oh, fantastic.
We'll certainly include that in the show notes below.
But Elise, thank you so much again.
We're excited to continue to stay in touch with you and just watch as, again, these platforms
evolve and change what you have to share on them and all of your best practices.
But thank you for joining us and sharing our first conversation on AI here
on Marketing Happy Hour. Great. Well, thank you for having me.
That is all for this week's episode. Thank you so much for tuning in. If you enjoyed this episode
with Elise, please remember to subscribe, rate, and leave a review on your favorite listening platform.
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