ChatGPT is an advanced artificial intelligence (AI) language model launched by OpenAI in November 2022. By December 2024, the platform will have 300 million weekly active users, an increase of 250 million from January 2023. [1]. During this time, it has had a dramatic impact on all types of businesses. Implementation progressed rapidly.
Despite initial concerns about the potential for ChatGPT and similar generative AI (GenAI) tools to “take over” various jobs, those concerns began to fade as more people experimented with these tools. On the contrary, many users can see the potential of ChatGPT to help them become more efficient and effective at work. This technology also has the potential to create new types of jobs and opportunities in the future.
For hands-on practice using ChatGPT, Vanderbilt University’s ChatGPT: Master the free AI tools to power your productivity specialization.
What is ChatGPT?
ChatGPT, a large-scale language model (LLM), is a GenAI tool developed by OpenAI that harnesses the power of natural language processing (NLP) to generate text responses that go beyond traditional search results. OpenAI trained its Generative Pretrained Transformer (GPT) model using the large amount of data available on the internet.
ChatGPT allows you to interact with users in a very human way and is updated regularly as OpenAI continues to improve the tool’s performance and expand its knowledge base. ChatGPT helps users generate ideas, create content, assist with coding, and provide customer support (in the form of chatbots).
How does ChatGPT work?
ChatGPT pulls from a large database and uses GPT-3 and GPT-3.5 models to predict the next word in a sentence, and then builds on that word and the next word until you get a complete response. Tools improve your ability to predict what will happen next.
Human users give ChatGPT prompts that are either questions or instructions. The prompt causes ChatGPT to start generating words and iteratively feed those words back into the model, eventually yielding a response.
GPT stands for “Generative Pre-Trained Transformer”. “Generate” refers to the generation of the next word. “Pre-trained” means that ChatGPT is trained based on data or text available on the Internet. Finally, “transformer” describes its deep neural network.
Recently, OpenAI built agent AI capabilities into ChatGPT, allowing the tool to perform independent actions without ongoing human interaction. This means ChatGPT could eventually develop features that act like a virtual assistant that can complete complex tasks such as planning and booking trips.
Get started with ChatGPT
ChatGPT is an easy-to-use tool that you can get started without much training. Once you have some experience with this tool, you can start experimenting and improving your interactions through the queries and prompts you type.
Note: Users should never enter sensitive personal or business information into ChatGPT and should always follow company guidelines when using AI in the workplace.
1. Access ChatGPT.
To access ChatGPT, sign up for an account through OpenAI, which offers free and paid options. Once you have an account, you can log in to OpenAI to access ChatGPT and start working with the tool.
2. Request ChatGPT.
Type your prompt or query in the blank space provided by ChatGPT. Enter your request and the tool will immediately generate a response.
3. Iterate and refine your results.
You can iterate through the prompts to get the results you want. As you gain experience, you’ll learn how to set context, set parameters, and guide ChatGPT to the best possible response.
Actual application example
ChatGPT’s main focus is on content creation, but as your skills continue to improve, you’ll find new ways to use the tool.
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Content creation: One of the most common applications of ChatGPT is content creation, including both textual and visual content. ChatGPT can create outlines and complete text for everything from social media posts to book-length manuscripts.
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Coding assistance: Developers can also use ChatGPT for coding help, including tasks such as learning programming languages, creating code snippets, and debugging code. Leverage NLP technology to streamline your development.
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Brainstorm ideas: You can also use ChatGPT to brainstorm ideas. Just type in a simple prompt like “Think of a cooking blog idea that would appeal to college students” and you’ll get a list of actionable topic ideas.
Tips for effective usage
Trying out ChatGPT and gaining experience is a great way to learn and improve. Consider the following tips to help you leverage the tool and help you with a variety of tasks.
Create effective prompts
An important aspect of working with ChatGPT is creating effective prompts, often referred to as prompt engineering. Be sure to create detailed and specific prompts that provide context to optimize the usefulness of the tool’s responses. Additionally, it’s a good idea to break complex instructions into smaller parts rather than providing the entire set of instructions in one prompt.
A good place to start is by providing some context about ChatGPT’s frame of reference. For example: “You’re an experienced marketing professor and you’re creating a lesson plan to help your students understand how to do competitive analysis.” Then, to make sure you understand, you might ask, “Do you have any questions?”
Once you’ve established this foundation, you can move on to your specific request: “Please provide me with a detailed outline of this lesson plan that will effectively engage my students.”
As the ChatGPT tool responds to each question, it can have iterative “conversations” to generate increasingly sophisticated and specific responses.
repetitive questions
Iterative questioning is a process that becomes increasingly sophisticated and specific as you interact with ChatGPT. Your first prompt will probably be pretty basic. You can improve your prompts based on the responses you receive. You can also give feedback, using the interaction as a collaborative process between you and ChatGPT, working together to improve output production.
Limitations and challenges
Although ChatGPT has several advantages, it also has some ethical considerations and other limitations and challenges.
Understand the limitations
Despite its sophistication, ChatGPT is not foolproof. It has limitations and, in some cases, can produce responses that are inaccurate, biased, or completely “fabricated.” Experts call these fabricated reactions “hallucinations.” It’s also important to remember that ChatGPT is only as relevant as the data it’s trained on, so it’s never completely up-to-date and can cause issues depending on how you use the tool.
ethical considerations
IBM, which pioneered the use of AI in collaboration with Watson, cited “data responsibility and privacy, fairness, explainability, robustness, transparency, environmental sustainability, inclusivity, moral agency, values alignment, accountability, trust, and misuse of technology” as examples of ethical issues with AI. [2].
Copyright and intellectual property infringement is also an area of concern. ChatGPT trains vast amounts of data, which can include copyrighted material. Additionally, organizations and individuals face the possibility that their intellectual property may be accessed and used by others.
Users should understand these ethical concerns and take steps to avoid, minimize, or eliminate them.
advanced techniques
As you gain experience with ChatGPT, explore some advanced techniques that will allow you to take even more advantage of the tool.
Tweak prompts
As you gain experience working with ChatGPT, you can move on to more advanced techniques, such as fine-tuning prompts, to improve the output you receive. Writing effective prompts is a key skill needed to ensure you receive relevant, high-quality output. The quality of the prompt response is directly correlated to the quality of the response and the corresponding deliverables. As you gain experience, you can work on role-playing prompts, thought-chain prompts, and several study sessions.
API usage
Think of an API, or application programming interface, as a conduit between two apps, in this case ChatGPT and another app or software system. APIs allow two systems to interact and exchange data. This allows users to, for example, connect ChatGPT to their own data sets, internal customers, or chatbots for employees.
Customization options
Examples of other forms of ChatGPT customization include:
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tone: Do you want a formal or casual output, or one that matches your brand’s voice, tone and style?
learning resources
As ChatGPT and similar tools proliferate, resources will also become available to help users understand how they work and how to best use them. These resources range from tutorials and courses to extensive community forums and support.
tutorials and courses
As ChatGPT and other tools have become more popular, many options have emerged for learning how to use them. Several tutorials and courses are available on Coursera. Universities and colleges also offer a wide range of courses and study options for students of all professional levels. Whether you want to enroll in a specific program or retake or audit a single course, a variety of options exist. OpenAI also offers ChatGPT Edu, a version of ChatGPT with advanced data analysis capabilities, for universities.
Community forum and support
Community forums also provide opportunities to learn and share with others. ChatGPT has a community forum for developers. Non-ChatGPT-related private forums on social media channels such as LinkedIn and Facebook provide additional opportunities for user and developer interaction.
Feedback mechanism
The power behind generative AI tools like ChatGPT is their ability to continue learning based on user actions. You can also improve it based on user feedback, which you can provide in several ways.
Providing feedback on answers
OpenAI encourages users to provide feedback on ChatGPT responses. OpenAI uses this feedback to make improvements. As users interact with the tool, they can give direct feedback by rating responses and reporting inappropriate or biased content.
Importance of user feedback
ChatGPT relies on user feedback for continuous improvement. Feedback helps OpenAI identify opportunities for output and user interface enhancements.
Learn ChatGPT and build your AI skills with Coursera
Developing ChatGPT skills will help you take full advantage of this innovative AI language model. Coursera offers a variety of AI, machine learning, and natural language processing courses that provide a foundational understanding of the technology, how it works, and how it can be used in different settings.
For example, you can sharpen your skills by completing Vanderbilt University’s ChatGPT: Master Free AI Tools to Supercharge Productivity Specialization and learn how to use ChatGPT to streamline your workflow. Or take IBM’s Generative AI: Prompt Engineering Basics, which covers best practices for developing effective ChatGPT prompts. When you complete either program, you’ll receive a shareable certificate to include on your resume, resume, or LinkedIn profile.
