ChatGPT and The Professional's Guide to Using AI

ChatGPT: the latest artificial intelligence release from OpenAI.

If you're anything like me, this new technology has taken over your entire social media feed and social life. Every text conversation I have inevitably falls to the question: "So have you tested ChatGPT? What do you think?" My inbox is filled with countless folks asking me how they can use it to improve their lives, wondering if it deserves the hype and attention, or anxiously questioning if it will completely take over their job. All of these reactions are normal, and you are not alone.

I wanted to write this article to help as many people as possible understand what this technology is, what it can do, why it's important, why it's different, and how professionals across a variety of industries can leverage ChatGPT to find more job success, get more career satisfaction, improve their workplace impact, and potentially even increase their likelihood of promotion.

If you'd like to follow along with this article and try out your own ChatGPT prompts, you can register for an OpenAI account with your email address, Google account, or Microsoft account and use it for yourself at chat.openai.com. The website and app are currently free, though there is speculation it might be monetized in the future.

Machine Learning in Your Life

You might already be familiar with machine learning (ML) models in your everyday life. Here are some traditional examples:

• Siri and Alexa take in speech, convert your voice into text, feed that text into their respective artificial intelligence (AI) systems, identify the intent of the text, and return a hopefully helpful answer. You ask it how long do eggs last, and Siri tells you they last 3-5 weeks in the fridge.
• Google Photos stores all of the photos you take and not only maintains the metadata from those photos (like location, date, and what phone was used) but also automatically classifies, tags, and detects objects, faces, logos, and more in your images. You search for "woman beach San Francisco" and within seconds, Google Photos shows you photo and video results that hopefully match.
• Netflix keeps track of your activity on their website and app (like clicks, watch time, return watches, saves, ratings, and searches) and along with your user metadata (location, demographics) and item metadata (genre, publish date, popularity, movie poster option, etc.), recommends a top 10 list of action movies you might want to watch and will hopefully enjoy.

All of these are fantastic use cases for machine learning and have saved me hours in manual typing, days in media organization, and endless agony in watching terrible TV shows.

Why ChatGPT is Different

But unlike these "invisible" models (like Netflix, ones that just run in the backend without you specifically asking) or "cache it and query later" models (like Google Photos, that store the ML data and outputs as you upload the photos for quick searches months later) or "single query" models (like Siri, where you can ask a question or two, but it doesn't really carry on a conversation), ChatGPT is a machine learning model with a full conversational interface.

And in my opinion, it's the chat interface, early guardrails, and context length that set ChatGPT's model and application apart.

I've been building, pushing for, and investing in ML applications for years, and ChatGPT is one of the few large language models to hit this at scale, and at lightspeed. In fact, ChatGPT hit 1 million users in just 5 days (which is mindboggling compared to GPT-3, which took 24 months to hit the same milestone). ChatGPT's no-code interface allows for anyone to use it. Unlike other sophisticated and complex ML models making their way through scientific research and engineering communities, you don't have to be a coder to use ChatGPT. If you know how to text a friend, you know how to use ChatGPT. It's as easy as typing a sentence and getting a response.

If you know how to text a friend, you know how to use ChatGPT.

The team behind ChatGPT also heavily invested in safety mitigations and continue to gather feedback from users via the "upvote" and "downvote" on the site, as well as likely other methods (social media, customer feedback, researcher programs, iterative development, constant benchmarking, collaborations, internal teams, etc.). OpenAI demonstrates its ability to combat hallucination prompts (basically, asking a question that never happened like "When did the Eiffel Tower fall down?") with ChatGPT here—just search for the "Columbus" example.

But when it comes to the topic of context length, I'm going to need a whole section. Feel free to skip it if you're less interested in the nuts and bolts, but I promise I made it beginner-friendly.

ChatGPT and The Power of Increased Context Length

Let's say we're having a conversation, but every 100 words shared between us, my memory completely resets (or a bit more accurately, I can only remember our previously spoken 100 words).

Imagine how difficult that might make our conversations. You might tell me all about your recent vacation to Montana, the cool motorcycle you rented, and the moose you almost ran into on the trail, but if we talk about elevators for a few minutes, I will have zero recollection about the motorcycle and moose. That's basically what language models have been dealing with.

An ML model's context length is an indicator of an AI system's long-term memory and knowledge retention capabilities. For the advanced ML folks, here is a 2022 paper from Arxiv sharing how "models with increased context length are better able to solve the [long document] tasks presented." While increased context length is not critical for all machine learning use cases, it is imperative for some.

So context length matters. But how big of a leap is ChatGPT?

GPT-2 (released in February 2019 by OpenAI) had a context length of 1,024 tokens. GPT-3 (released in June 2020 by OpenAI) had a context length of 2,048 tokens. ChatGPT (released November 2022) has a likely context length of 4,096, or as one Twitter user (Riley Goodside) tested, maybe 8,192 tokens.

It's the chat interface, early guardrails, and context length that set ChatGPT's model and application apart.

There are other methods to extend context length (and many theorize ChatGPT uses chained prompts), but its longer context length is already a big deal in my book.

So let's turn this nerdy token talk into real examples. 100 tokens is equivalent to about 75 words. So to put this in perspective with a basic conversion, GPT-2 could handle about 768 words in its context length, GPT-3 could handle 1,536 words, and ChatGPT is theorized to be able to handle either 3,072 or 6,144 words.

Here is a quick visual demonstration showing you what a token is, using OpenAI's Tokenizer tool. Each new highlighted bit is a token, and you can read the example for details. Feel free to find a document and paste it in to see how many tokens it is.

Tying that into real examples, a full length tweet is about 55 words. The length of an average New York Times article is 622 words. A random instruction manual I found online for a Honeywell programmable thermostat was 1,300 words. The U.S. Constitution is 4,543 words (7,591 including the 27 amendments). For all your internet meme fans, the script for the Bee Movie is 9,155 words. A standard novel is about 90,000 words. The book War and Peace is 587,287 words. And the King James Authorized Bible is 783,137 words.

Right now, we're somewhere between an instruction manual and the script for Bee Movie. And while this may sound quite limited, ChatGPT's context length is a big leap from its predecessors and it's enough to grab my attention, especially when it comes to conversational AI or chat interfaces.

This Moment is Like the Launch of Google Search

I have written, delivered, and filmed thousands of posts, videos, tweets, articles, and keynotes about the future of artificial intelligence and machine learning. For several years, it was my literal job at Amazon to predict and invest our resources into the future of machine learning. Despite that, without fail, there is always a small but persistent cohort in my comments section saying, "Eh, I'm not impressed." or "This is nothing special." or "I can already do that."

Ignore them.

Being ahead of the curve means adopting technology while others say it's dumb. That's how this works. People may mock you, question you, disagree with you, or laugh at you, and it might go on for years or even decades, but that's what it feels like to tap into an insight that not everyone else can see. It will look stupid to some. But to the visionaries, the dreamers, the fortunetellers, it's obvious.

That's what this feels like.

Now, I don't want to diminish the AI advancements of the last 66 years. We wouldn't be here today if not for those brilliant teams and thinkers and their research and innovation. My jaw has dropped to the floor multiple times in my career as I witnessed new breakthroughs across human versus AI videogame battles, weather predictions, drug discovery, and more. But this whole article is about step function growth, and the next few years (including GPT-4) are only going to be bigger.

Being ahead of the curve means adopting technology while others say it's dumb.

I'm going to sound like an MLM for a moment, but with nothing to sell you: this is the time to act. This is the time to be ahead of the curve, to be the person at your work who brings new ideas to the table, who creates new processes or programs that positively impact the lives of you, your team, and your customers.

Because in the same way that Google or the internet lets you access knowledge in real-time, AI will let you access intelligence in real-time.

I'll share two quotes from leaders that I look up to. Reid Hoffman, the co-founder of LinkedIn, said in a statement to CNBC, "AI is one of the most transformative technologies of our time." And Mark Cuban said on The Colin Cowherd Podcast, "There’s two types of companies: those who are great at AI and everybody else." And went on to say that in order to be successful, "at some point, you’re going to have to understand it."

In the same way that Google lets you access knowledge in real-time, AI will let you access intelligence in real-time.

If you're curious about this technology, I encourage you to lean in and dig in to more companies, models, and applications. Despite being the focus of this article, OpenAI is not the only player in the "mega model" space. In addition to the big cloud service providers (Amazon Web Services, Microsoft Azure, Google Cloud Platform, Alibaba Cloud, IBM Cloud, Oracle Cloud), there are a number of research labs and startups breaking onto the scene across language and vision and general intelligence—from Anthropic and Cohere AI, to AI21 and Aleph Alpha, to Stability AI and Wombo AI. I've been fortunate enough to work with the majority of these companies; the next two years of artificial intelligence development are going to be huge.

So how can professionals use ChatGPT?

Professionals from all industries can leverage artificial intelligence and ChatGPT to improve their worklife, but it can't do everything. AI is not a replacement for every single task you do right now. It's a tool, and it matters how you use it.

ChatGPT can get you a rough draft of a meeting agenda, but it can't hold the team meeting for you. It can help you brainstorm great birthday gift ideas for your mom based on her interests, but it can't call her and hear about her day. ChatGPT can give you the list of questions to ask your doctor so you have a better appointment experience, but it can't diagnose you like a medical professional can.

It's a rough draft, a first try, a brainstorm tool, a foundation, an augmentation.

But you need to bring the industry expertise, the execution, the critical thinking, the teamwork and collaboration, and the emotional intelligence.

So what is the first step to using ChatGPT in a meaningul way in your work? Think about your repetitive tasks at work. Open up a Google Doc right now or grab a sheet of paper and write down the repetitive, manual things you do on a daily or weekly basis: write emails, create to-do lists, generate meeting agendas, recap workshops, commute to work, pick a podcast to listen to, edit weekly budgets, write status reports, whatever. Circle two that you believe ChatGPT can help with, and start to form example prompts to submit.

Grab a sheet of paper and write down the repetitive, manual things you do on a daily or weekly basis.

My other advice before continuing on is to read the Terms of Service on OpenAI's website. Section 3A includes content rights and currently states: "As between the parties and to the extent permitted by applicable law, you own all Input, and subject to your compliance with these Terms, OpenAI hereby assigns to you all its right, title and interest in and to Output. OpenAI may use Content as necessary to provide and maintain the Services, comply with applicable law, and enforce our policies. You are responsible for Content, including for ensuring that it does not violate any applicable law or these Terms."

This goes without saying, and this is not legal advice, but ChatGPT is a research tool, and you should never submit confidential information to the system. Additionally, be sure to understand your specific company and team policies—there are many schools that have blocked the use of ChatGPT on campus while they adjust their homework and testing protocols.

Now that you've brainstormed some repetitive tasks and read the fine print, let's get into it.

Real Ways Professionals Can Use ChatGPT to Improve Job Performance

Let's dive into some real examples of how professionals across sales, marketing, product management, project management, recruiting, and teaching can take advantage of this new tool and leverage it for even more impact in their careers.

Teachers and ChatGPT

1. Help with grading and feedback on student work. Example prompt: "Tell me every grammar rule that’s been violated in this student’s essay: [paste in essay]"
2. Create personalized learning materials. Example prompt: "Help me explain photosynthesis to a 10th grade student in a way similar to sports."
3. Generate lesson plans and activities. Example prompt: "Create an activity for 50 students that revolves around how to learn the different colors of the rainbow." or "Generate a lesson plan for a high school English class on the theme of identity and self-discovery, suitable for a 45-minute class period."
4. Write fake essays several reading levels below your class, then print them out, and have your students review and edit the AI's work to make it better. Example prompt: "Generate a 5th grade level short essay about Maya Angelou and her work."
5. Provide one-on-one support ideas for students. Example prompt: "How can I best empower an introverted student in my classroom during reading time?"

Sales and ChatGPT

1. ChatGPT can help answer questions about sales best practices. Example prompt: "I'm a salesperson for a cloud product that checks your grammar, and I want to sell my product to Airbnb. Who should I sell into at Airbnb? What role types from Airbnb should be invited to the first sales call?"
2. Write sales emails to different clients. Example prompt: "Write me a cold sales email to sell Calendly to a new healthcare startup customer based in Austin."
3. Organize and deliver updates on sales activity, including reports for leadership meetings. Example prompt: "I work in Sales. What should I include in my weekly Sales review with my boss to impress her?" and then "Can you generate a table for that report that I can quickly leverage and fill in myself?"
4. Create sales scripts and first call questions to more quickly qualify leads. Example prompt: "Act like a salesperson. Write a sales script for a programmable thermostat." or "I sell programmable thermostats. What 3 qualifying questions should I ask a residential customer to know if they want to buy my product?"

Marketing and ChatGPT

1. Generate positioning statements based on industry, company, values, and product details. Example prompt: "Write a marketing positioning statement for <name and describe your company>."
2. Gather quick market trend insights (important note: ChatGPT's data stops in 2021, so if you are looking for up-to-date statistics or articles, please reference Google or your favorite industry blogs). Example prompt: "What are the top 10 trends in retail technology, especially as it relates to beauty products?"
3. Generate personalized ad or photo caption copy. Example prompt: "Write a Facebook ad for a new high-end shampoo brand meant for people with curly hair." or "Write a witty Instagram caption for a photo of a zookeeper and a zebra to promote the zoo's upcoming family day. And use a similar writing style to this one: <paste previously published caption from your brand>"
4. Generate social media responses. Example prompt: "Provide 5 short social media replies when a customer complains that our product was delivered late. Ask them to DM with their order number."
5. Generate new ideas for your annual marketing strategy. Example prompt: "I run marketing for <company>. I have to create an annual marketing plan. <Channels> are working well, but <other channels> don't work well for us. We're targeting <customers>. What other channels should we explore?"

Recruiting and ChatGPT 

1. Edit a job description to make it more compelling to potential applicants. Example prompt: "I'm a recruiter, make this software engineering job description sound more fun and don't use the words ninja, guru, or wizard: <copy and paste current job description>."
2. Write personalized outreach based on candidate profiles. Example prompt: "I'm a recruiter at Goldman Sachs, and I want to write a LinkedIn message to a potential candidate I want to recruit. They are currently an investment banker at Morgan Stanley."
3. Ideate search terms for candidates. Example prompt: "What should my boolean search be on LinkedIn if I'm searching for a senior project manager in new york city?"
4. Generate example qualification questions to share with the hiring manager for approval. Example prompt: "I'm a recruiting manager. I am working with a new hiring manager and she wants me to find great data engineers based in Canada. What are some good qualifying interview questions to ask potential candidates on the first call to see if they're a good data engineer?"

Product Management and ChatGPT

1. Summarize articles about recent industry trends. Example prompt: "I’m a product manager, summarize this article and highlight any opportunities for new products that can be created: <paste in article>"
2. Ideate a framework to make resourcing decisions. Example prompt: "I'm a product manager and I'm stuck between two ideas for features. One might lead to more revenue but the other can get shipped more quickly. What is a decision framework I can use for this?"
3. Generate ideas for new products or features, based on market research or product vision. Example prompt: "What innovations could make an air conditioning for a studio apartment better for the environment?"
4. Improve customer discovery during beta testing. Example prompt: "I'm a Product Manager for accounting software, and we're testing out a new product feature that allows you to automatically calculate, track, manage, and send your quarterly tax estimates. What are 5-10 good questions I should ask customers who are testing this feature to know if they like it and to know if we should release it to the general public?"

Here are even more Product Management examples from Cookup AI.

Project Management and ChatGPT

1. Generate first draft of a schedule. Example prompt: "Create a daily schedule for my team for this week. Each day needs to start with a 20-minute standup with the developer team. Each day needs at least two deep work sessions that are 2 hours long and uninterrupted. Please give me the schedule for every 30min block from 9am until 5pm."
2. Summarize meeting notes and action items. Example prompt: "Summarize these notes from my finance meeting with engineering and leadership. At the end, create a set of important action items to complete by the end of the week. Here are the notes: <paste notes>"
3. Prioritization of tasks to balance multiple stakeholders and their needs. "I have to do four things: I have to refresh the budget (needs engineering input), meet with the engineering team to understand their dev timeline, meet with the executives, and deliver an updated schedule to everyone. Please tell me what order I should do these in. Let me know how much time each task will take."

And that's just scratching the surface. More than anything, I hope that gives you some examples to start from and a sense of how powerful this tool can be in your life.

What role are you most curious about? What is your role today? I can imagine hundreds of use cases for content creators, startup founders, chefs, electricians, nurses, executive assistants, software engineers, lawyers, mechanics, designers, scientists, landscapers, and more. Take a few minutes to brainstorm what some use cases in your industry might be, try them out with ChatGPT, and share it on social media so others can learn from you.

I can imagine hundreds of use cases for chefs, electricians, nurses, engineers, lawyers, mechanics, designers, scientists, landscapers, and more.

Beyond the job roles shared above, Cookup AI also has a list of use cases by category that can be found here. Read on to learn about 6 use cases anyone can use and 11 tips on how to use ChatGPT to its fullest from AI experts.

6 More ChatGPT Use Cases for Every Type of Professional

I wrote a LinkedIn post that went viral (or on Twitter, if that's your preference) on how professionals in any industry can use ChatGPT for gains in productivity, creativity, and learning. Below are those use cases as well as example prompts that anyone, regardless of domain, can use.

Summary. Copy and paste an article, and ask, “Can you summarize this article in one paragraph in a way that a 5th grader could understand it?”

Coding. Ask it to write basic scripts or even more qualitative questions like “what is the most efficient way to loop through a list in Python?”

Professionals in any industry can use ChatGPT for gains in productivity, creativity, and learning.

Planning. Think of an overwhelming task you have on your plate and a reasonable timeline, and ask, “Create a schedule for me to launch my new machine learning startup by May 1, 2023. Please include deliverables, timelines, contingency planning, team bonding, breaks, brainstorming, and user testing.”

Creativity. Think of something you want to shake up in your life and ask, “I’m going to turn 40-years-old soon and I want to celebrate my birthday in a new and different way that incorporates my passions. I love archery, Korean BBQ, musicals, and axe throwing. What are three ideas for a birthday that costs under $2000 and can accommodate 10 people?”

Writer's Block. Do you have an email or blog post you’ve been meaning to write but need a little push? Just ask, “Write a nice email to Tom that asks him if he enjoyed the offsite, and then to update his monthly report and send me his promotion document.” Use that as a foundation, then edit or tweak as needed.

Motivation. AI is not a replacement for trained medical professionals, but if you’re feeling a little low you can ask, “Can you give me three motivational phrases to help me get through a hard day when I’m low on sleep?”

Feel free to try the Summary idea above on this very article. Copy the URL from this article, navigate to ChatGPT, and type in the following prompt: "Please summarize this article: <paste the link>". ChatGPT will scrape the site to read the text and then do its best to sum up everything the system reads in this article. You can also copy and paste the text of the article or even a single section if you prefer.

11 Expert ChatGPT Tips Any Professional Can Leverage

Two humans asking ChatGPT similar questions can get vastly different results. I've been testing the tool daily, watching every ChatGPT video I can find, and speaking with other AI leaders to compile a list of 11 top tips that anyone reading this can use right away.

1. Add context. If you were asking for advice from a friend, you would likely start off with a bit of a backstory to share the context of your question. AI is not dissimilar; if you add in some context to your ask, you might receive more relevant, customized, and valuable answers.
2. Get specific. Rather than asking it to write a generic tweet about music, ask it to write about the bluegrass influence on pop music and how that relates to rap. Rather than asking it to write an essay, ask it to write an essay about roses at a 9th grade reading level. Generic inputs will get generic (and likely less impressive) outputs.
3. Add parameters. Ask your question, but at the end, add restrictions or requirements. Some sample parameters: make it under 100 words, make your response between 49 and 59 characters, include the word "cynical", don't use the word "perpetual", walk me through it step-by-step, explain it to me like I'm 5, explain your reasoning behind the advice, make it under $200, make it work for 15 people, I'm allergic to strawberries.
4. Test out some role play. One of the biggest hacks that folks are using with ChatGPT is prefacing the main prompt with "Pretend you're a ____" or "Act like a ____". If you're asking for public speaking advice, for example, start your prompt with "Act like a public speaking coach." There are over 100 role play ideas on GitHub (8.8k stars and counting) here.
5. Try to break it. Is the tool perfect? Absolutely not. I’ve explored these flaws in countless posts—bias, data privacy, homogeneity, centralization, accuracy, reliance, plagiarism, job shifts, just to name a few. But part of preparing for the future means understanding it. And understanding it often means trying it, testing it, breaking it.
6. Use numbers. If you're generating something like product names or email subject lines, don't just ask for one option, ask for 10 options. It will give you more first ideas to work from, you might want to grab parts from each, and it will likely speed up your whole process.
7. Click "regenerate". If you don't like what ChatGPT replies with, just hit "regenerate" at the bottom of the screen. You can still view previous answers to the same question by clicking on the arrow to the left of the OpenAI green logo.
8. Ask a friend. If you're stuck or you're not getting the quality of output you're looking for, ask a friend. And yes, that friend can even be ChatGPT. Try the prompt: "That's not quite what I was looking for. What are some ideas for how I can improve my prompt?
9. Coach it with feedback. After ChatGPT answers your question, use its conversational interface to edit or tweak the answer. Try one of these prompts: make it funnier, make it scarier, make it longer, make it sound smarter, make it more compelling, make it simpler, make it more technical, use fewer adjectives, add more hashtags, add another sentence at the end.
10. Convert it to a table. ChatGPT has a surprising ability to convert replies into tables, lists, flowcharts, code, and more (though it seems to not be able to graph, draw, or generate images like Dall-E). If you don't like several long paragraphs, ask for the reply in a more helpful format to your use case and preferences, like a bullet list.
11. Stretch your critical thinking muscles. Critical thinking has always been a top skill in the workplace, but with the rise of generative AI, it's even more vital. Two questions may generate completely different answers from ChatGPT—knowing what question to ask an AI system can be a superpower.

Part of preparing for the future means understanding it. And understanding it often means trying it, testing it, breaking it.

Future Predictions and Your Next Steps with ChatGPT

ChatGPT is not the first "send text to an AI system and make it do something" tool, and it won't be the last. There are already startups like Adept building AI RPA (robotic process automation) systems that will help you navigate a website's data through text prompts. For example, you can visit a furniture website and type in to a little textbox pop-up "show me dark gray couches that cost less than $2,000 and can be delivered in the next two weeks" and the six couches that match that query will pop-up, and you can skip over all of those pre-configured filters on the side. Search, navigation, data processing, and more will all be handled through natural language.

It will also be more intelligent. In the future, instead of typing into YouTube a literal video you want (like "how to apply fake eyelashes") and clicking one on or some of the top ranked videos, you'll instead type "I want to get better at eye makeup" and it will auto-create a course for you. AI will move us from content-based queries to higher order goal-based queries, and everything will be customized to you. The TED Conferences (TED Talks) app is surprisingly one of the first brands to jump on this—I remember in 2009 navigating the app and filtering by video length and emotions like "funny" and "insightful", and 13 years later, the recommendation system categorizes its videos based on the viewers' goals (like "ideas for self-improvement", "a glimpse into the future", or "a sense of hope").

AI will move us from content-based queries to higher order goal-based queries, and everything will be customized to you.

A good framework for the future of technology is what I call the "Three Ps". Artificial intelligence in its most effective form will be Personalized (everything will become a market of one), Predictive (we can forecast actions and answers before they happen), and Proactive (we will take action on those predictions). So a subsequent version of ChatGPT or similar technology will be customized entirely to you, your life, and your goals, and it will share intelligence or take action with your approval but without your explicit query.

Looking ahead, one of the best things you can do for yourself when it comes to augmenting your worklife is to stay curious. Try new ways of using this technology, and see how it reacts. Have it design a workout plan for you and actually follow it and blog your experience. Throw an AI party and pull ChatGPT up on your TV to write a get-to-know-you game on the fly. Try new AI tools that your friends recommend and that you feel comfortable with. Ask your kids to show you the latest mobile app they're using and loving. The sky's the limit, but you need to keep poking at it.

Another tip is to keep asking critical questions about what this AI can do (and what it can't do). Dig into and test its limitations. Pay close attention to bias, data privacy, and the intentions of the builders. Ask the big questions and leverage your resources to find the answer, even if that means doing it yourself. Your voice matters, and I'm right there with you—I still send customer feedback or post concerns like this when I test new AI products. AI is a massive paradigm shift for our world, and everyone deserves a voice in our future. That includes you.

AI is a massive paradigm shift for our world, and everyone deserves a voice in our future.

Lastly, do what you can to stay relatively up to date. You don't have to be logged on every minute of the day or read every article that comes out (that would be an insurmountable task anyways), but I would make it a priority to check in on these advancements once every few weeks to start with. The tool and its use cases are constantly evolving and improving, so consider the following:

• Check back on the OpenAI website to see the latest (ChatGPT was already updated on December 15)
• Follow AI leaders on social media (here's my LinkedIn and 15 top tech creators)
• Set Google Alerts for technologies and industry applications you care most about (like: "artificial intelligence" + "real estate") so you can get tailored content for your career
• Follow hashtags like #artificialintelligence and #machinelearning and #chatgpt on social media sites and apps
• Consider attending a local artificial intelligence or technology meetup or conference in your area (or find a virtual one) so you can hear the latest

ChatGPT and other AI technologies have the potential to significantly improve your job satisfaction, job success, likelihood of promotion, and impact on the world no matter your job or industry. If used appropriately and effectively, AI systems can be used to free up time spent on repetitive tasks (like email or meeting agendas) so that you can do what you do best and focus on more impactful and meaningful work. If you have other ideas for these roles or other roles and how they may use ChatGPT or AI to maximize job success or job satisfaction, please be sure to drop a comment below.

And before any of you ask, no, I did not use ChatGPT to write this article.

Just a case of Diet Coke.

About ChatGPT, GPT-3, GPT-3.5, and OpenAI: OpenAI was founded in December 2015 by Sam Altman, Ilya Sutskever, Greg Brockman, Wojciech Zaremba, Elon Musk, and John Schulman. "GPT" stands for "Generative Pre-Trained", meaning (a) the model can create brand-new outputs that are not copied-and-pasted from its original dataset and (b) that it has already been fed the data and comes to you trained so you can use it out-of-the-box. GPT-3.5 (or InstructGPT) is a sister model to ChatGPT. InstructGPT uses GPT-3 as its base model and is finetuned using RLHF ("reinforcement learning with human feedback") to add additional guardrails. According to OpenAI, ChatGPT is fine-tuned from a model in the GPT-3.5 series, which you can read about here. In 2019, OpenAI received $1B in funding from Microsoft.

Contributors to ChatGPT, according to the ChatGPT page: John Schulman, Barret Zoph, Christina Kim, Jacob Hilton, Jacob Menick, Jiayi Weng, Juan Felipe Ceron Uribe, Liam Fedus, Luke Metz, Michael Pokorny, Rapha Gontijo Lopes, Shengjia Zhao, Arun Vijayvergiya, Eric Sigler, Adam Perelman, Chelsea Voss, Mike Heaton, Joel Parish, Dave Cummings, Rajeev Nayak, Valerie Balcom, David Schnurr, Tomer Kaftan, Chris Hallacy, Nicholas Turley, Noah Deutsch, Vik Goel, Jonathan Ward, Aris Konstantinidis, Wojciech Zaremba, Long Ouyang, Leonard Bogdonoff, Joshua Gross, David Medina, Sarah Yoo, Teddy Lee, Ryan Lowe, Dan Mossing, Joost Huizinga, Roger Jiang, Carroll Wainwright, Diogo Almeida, Steph Lin, Marvin Zhang, Kai Xiao, Katarina Slama, Steven Bills, Alex Gray, Jan Leike, Jakub Pachocki, Phil Tillet, Shantanu Jain, Greg Brockman, Nick Ryder.

About the Author: Allie K. Miller is a top artificial intelligence leader, advisor, and investor who has led scaled AI initiatives at two of the five largest cloud providers in the world. Allie was most recently the Global Head of Machine Learning for Startups & Venture Capital at Amazon Web Services (AWS). Prior to that, Allie worked at IBM, spearheading development across computer vision, conversation, data, and regulation. Outside of work, Allie is a National Ambassador for AAAS, and has spoken about AI around the world, drafted national AI strategies, and created over 10 guidebooks on how to build successful AI and Web3 projects. Allie shares the latest in AI to her more than 1 million social media followers on LinkedIn and was named LinkedIn Top Voice 2019 & 2020 & 2021, Chief in Tech’s Top 100 Women in Tech to Watch, Award Magazine’s Top 50 Women in Tech, and ReadWrite’s Top 20 AI Speakers in the World.