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Creating Your Own GPT Model Without Any Coding Expertise, Step by Step

Sandro B.9 min readFeb 13, 2024Technology
Creating Your Own GPT Model Without Any Coding Expertise, Step by Step

Recently, I gave a presentation on "How to make your own GPT without any coding" at the Bug Future Show 2024. Well, after the threats I got from the marketing team, I said yes to turning that presentation into a full-blown blog post!

Let's see how you can create your GPT model without touching a single line of code.

As part of the product team, I've seen firsthand the impact AI, particularly language models like GPT, can have on our projects. These AI tools have become invaluable assets in our toolkit, from boosting productivity to getting new ideas and saving a lot of time.

We'll be going into the details of creating your own GPT model and what are the best GPTs you can use. Who knows, this guide may be a stepping stone for you to create something of your own in the GPT store!

Open AI and Chat GPT

OpenAI, an American company founded in 2015, has been at the forefront of AI research and development, gaining widespread recognition with the release of ChatGPT to the public in 2022.

They have other great apps, like DALL-e, a processor that transforms text into images, and Whisper, which converts recorded speech into text across multiple languages. Whisper's potential as a universal translator is particularly exciting, hinting at a future where language barriers could become a thing of the past.

On the other hand, Chat GPT, OpenAI's product, has become a household name, allowing users to input text and receive responses based on context and relevance. Currently free to use, Chat GPT harnesses vast datasets, even tapping into the internet to gauge the strength of words and predict subsequent letters and words. However, many tech advancements signal a potential shift in accessibility to these AI tools, suggesting that free access days may be numbered.

What are GPTs, and how do they work?

The Bug Future Show presentation's shining stars were Generative Pre-trained Transformers. It is a product recently rolled out by OpenAI. It is still in its infancy, but I think it holds immense promise for the future.

I believe that you will soon create your own GPT and use it as your personal assistant, whether for work or everyday tasks. But what exactly is a GPT? Essentially, GPTs are customized versions of Chat GPT tailored to your specifications. You provide parameters, and it adapts to your needs, swiftly aiding you in completing tasks as you envision.

Personally, I find GPT valuable for saving time, especially for repetitive tasks at work or home. With just a few clicks in my web browser, I can access answers and solutions without the need to search the internet. What's cool is that you can get started with GPT even without any coding knowledge – they behave according to your instructions right out of the box. However, some programming expertise may be necessary for more advanced features and integration.

In a business setting, when dealing with client projects, we often need to connect to APIs and approach every task differently, as GPTs alone may not be enough. Nonetheless, they remain invaluable tools, optimizing our daily workflows and accelerating productivity.

AI can boost skilled worker performance by up to 40%

As I have mentioned, GPTs can save you time and improve efficiency. A study has shown that generative AI has remarkable potential, boosting the performance of highly skilled workers by up to 40% when used within its prescribed capabilities. However, when pushed beyond these limits, there's a notable decline in performance, averaging a 19% decrease compared to those who don't use artificial intelligence at all. What does this mean? It's important for organizations to understand the boundaries of AI's abilities and for managers to provide guidance to ensure workers use AI effectively. Workers must balance the convenience of AI with the necessity of maintaining their cognitive effort and expert judgment, as blindly relying on AI recommendations can lead to less-than-optimal results.

Chat GPT vs. GPT: Understanding the difference

Many of my friends asked me: "Why would I use GPT if I have Chat GPT?" This question will always arise when you have multiple AI language models available. However, understanding the distinction between Chat GPT and GPT is important for making informed decisions about which tool best suits specific needs. Let's review the differences between these two variants to see their strengths and limitations.

Chat GPT: Quick responses but limited flexibility

While Chat GPT offers quick responses to user queries, it often falls short in delivering formatted outputs, such as tables or code snippets. Many of us have experienced frustration when extracting specific information from Chat GPT, as it tends to generate random text rather than structured data. This can result in a time-consuming process of refining outputs until they match our desired format. Despite its limitations, Chat GPT is a great tool for everyday interactions, offering instant responses based on context.

GPTs: Customizable parameters for enhanced performance

On the other hand, GPT, or Generative Pre-trained Transformers, presents a more tailored solution to text generation tasks. With GPTs, users can define parameters in advance, ensuring that the model operates within specified boundaries. This level of customization allows users to optimize workflows and boost productivity significantly.

For example, using GPTs to create developer tickets can save valuable time by generating formatted outputs, such as tickets in Gherkin format, that are ready for further refinement. Moreover, GPTs can be trained on proprietary data, allowing organizations to leverage internal knowledge repositories for enhanced decision-making and support.

While GPTs require a paid subscription to Chat GPT Plus and currently offer limited features, their potential for customization and efficiency makes them a worthwhile investment for businesses and individuals alike. As technology continues to evolve, AI language models may undergo significant transformations, potentially reshaping our perspectives on their usability and accessibility in the future.

What about security in AI tools?

When it comes to using tools like GPT, security is a crucial consideration that often arises. Clients and users alike frequently express concerns about the safety of their data and interactions within these platforms. A significant issue revolves around the question: How secure is it all, really?

It's essential to acknowledge that everything conducted through OpenAI and GPT remains stored on their servers. This has raised red flags in the past, with instances like Samsung encountering problems due to inadvertently exposing code that should have remained private.

While assurances are made regarding user interactions and data confidentiality via APIs, many people are skeptical. It's a matter of trust, and many remain wary despite assurances of privacy. However, reducing risks involves being mindful of shared information and avoiding transmitting sensitive data. Users can use GPTs and other AI language models with greater peace of mind by exercising caution and refraining from giving confidential information.

Can I create my own GPT?

The simple answer is yes, you absolutely can! The power to create your own GPT model is within reach, and in this blog post, we'll go through the process step by step. Whether you're a seasoned developer or a curious enthusiast, creating your personalized AI language model is achievable. You'll need a pinch of time, a splash of creativity (because it all begins here, doesn't it?), and a problem you want to solve. Remember, it doesn't make much sense if you are making a GPT without the purpose.

1. Name and icon

Before creating any exciting and creative GPTs, let's start with the basics: naming your creation and giving it an icon. Using a Chat GPT Plus account, you'll have the tools to create the perfect moniker and visual representation for your project. Chat GPT's AI capabilities can help bring your vision to life effortlessly, whether it's a quirky icon or a catchy name. Once you've settled on a name and icon, it's time to move on to the next step.

Sandro at the Bug Future Show

2. Create & configure

Now that you've sorted your name and icon, it's time to go into the heart of the matter: creating and configuring your GPT. This step involves defining what you want your GPT to accomplish. In this example, let's say we're making a cookbook for kids (and yes, I gave this example because I have kids) with simple, healthy recipes tailored to children. Specify parameters such as language, units of measurement, and preferred cooking styles. With detailed instructions and a set of rules in place, you'll ensure that your GPT performs exactly as desired.

3. Set restrictions

All GPTs have an important step - establishing restrictions to guide their behavior. These restrictions help steer your GPT away from unwanted outputs and ensure it stays true to its intended purpose. For instance, you may want to restrict the inclusion of fast food recipes in your kids' cookbook, promoting healthy eating habits. By setting clear boundaries and guidelines, you'll maintain the relevance of your GPTs.

4. Create added value for the consumer

Consider incorporating additional features and information to elevate your GPT and provide added value to users. In the case of our kids' cookbook, you might include nutritional information, storage guidelines, and tips for meal planning. By offering comprehensive and practical content, you'll improve the user experience and make your GPTs a go-to resource for culinary inspiration.

5. Test your own GPTs

With your GPT configured and restrictions in place, it's time to put it to the test. Automated testing can help identify any inconsistencies or undesirable outputs, allowing you to fine-tune your GPT for optimal performance. It's best to collect feedback and insights from colleagues and users to refine everything further and improve your creation.

6. Refine your GPTs and stay ahead of AI trends

AI technology continues evolving, so regular updates are important for keeping pace with AI trends. Stay ahead of the curve and adapt all your GPTs accordingly. Keep an ear to the ground for emerging trends and advancements in the field, incorporating new features and functionalities to enhance your GPT's capabilities. By remaining proactive and responsive to user feedback, you'll ensure that your GPTs remain valuable assets in an artificial intelligence landscape characterized by ever-changing trends.

Can I customize GPT?

Well, as you can see from the steps above - yes, you can customize GPTs to suit your needs. The GPT store allows users to access different custom versions tailored to perform specific tasks. These versions are designed to solve problems across various domains, from learning and development to coding challenges to designer problems. By using these customizable models to their maximum advantage, individuals and organizations can improve their workflows and achieve more efficient and effective outcomes, gaining extra knowledge and capabilities in the process. Whether you're looking to streamline educational content creation or automate coding tasks with custom actions, the ability to customize GPTs opens up a world of possibilities for optimizing productivity and innovation.

To sum up, how can GPTs help you? GPTs offer benefits both personally and professionally. They save time by automating repetitive tasks, such as drafting developer tickets or creating illustrations for presentations and marketing materials. Personally, they optimize daily activities, from meal planning with recipe suggestions to skipping ads and organizing workout plans. The possibilities are endless!

What are the limitations of custom GPTs?

The limitations typically revolve around file size, with a suggested maximum of 512 MB per file. For images it is 20 MB per file. Larger documents may not be processed as effectively. However, solutions like Consensus GPT, which specializes in scientific articles, can handle vast databases effectively.

Reliability is also one of the things you need to look after. Aside from Consensus GPT, you have ScholarAI. He can sometimes make up references and data, so it's always important to check it up. Ask him for the official website or where he got the data from and check it up. So, as I said, you must use your cognitive abilities no matter what a powerful tool it is.

Is OpenAI's GPT store the new App store?

People speculate that GPT will become the new app store, akin to Google Play Store and that there's substantial profit potential. However, I don't share this view at the moment, as it currently serves a very niche market. They're fun to play around with, but ultimately, I find more value in creating a GPT tailored to my specific purpose, which can help optimize and simplify my daily tasks. But who knows my opinion may change as technology advances in a few years.

The best GPTs to save you time

At the Bug Future Show, I had a bonus slide about the best GPTs in the gpt store. Unfortunately, I couldn't share it with the rest due to limited time. So here are some examples of the best GPTs that I have stumbled on. If you have any new suggestions, or you have discovered or, even better, created something cool, feel free to reach out to me on LinkedIn.

  • Playlist AI - Music Playlist Maker

  • Math Mentor

  • Data Analysis

  • Market Analyst

  • Logo Creator

  • ScholarAI

Saving time with GPTs

Conclusion

Throughout this guide, we've gone over creating your GPT model without any coding expertise. The world of machine learning and GPTs is broad, allowing individuals and businesses to use AI to perform tasks, define custom actions, and combine instructions to get the best tool they need.

I got many questions from the audience that we didn't get to cover in this blog. For example, does the recipient of the GPT link require a subscription? Yes, the recipient currently needs a subscription to access the GPT. However, it's likely that accessibility will be expanded in the future.

Another hot topic is the integration of GPTs with web data, a feature that unlocks the ability to provide customized insights by leveraging online resources. User insights and commercialization's impact on subscription pricing have also been a concern.

As we look to the future, the dialogue between GPT software and users will undoubtedly shape the evolution of these models, making them more accessible, insightful, and integral to our digital lives.

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