Building Custom GPTs: A Step-by-Step Guide with OpenAI’s New Tools

The rapid evolution of artificial intelligence has brought forth transformative innovations across numerous industries. From healthcare to finance and everything in between, AI has emerged as a game-changer, promising efficiency and convenience. However, accessibility to these advanced AI systems hasn’t always been straightforward. 

OpenAI is taking a chance at it, now allowing for building custom GPTs for basically any purpose you may need an AI assistant for. 

At OmniMind, we’ve been committed to making the power of AI accessible to as many industries as possible for a while now. So, we can’t help but review and compare the new OpenAI’s GPTs tool and our very own OmniMind AI tool. 

Both are designed to put the capabilities of artificial intelligence at your fingertips, but how exactly? And which one should you eventually choose? For a clear step-by-step for both AI solutions and usage comparison, read further!

What’s GPTs?

GPTs are customizable AI models tailored for specific tasks or topics by combining instructions, knowledge, and capabilities of ChatGPT. GPTs are positioned as the new level in AI accessibility.

GPTs Step-by-Step

OK, so how to use GPTs? We’ve researched the tool and are ready to offer a detailed step-by-step guide, including additional settings:

1. Create a GPT: Click on the “Create a GPT” option to initiate the process. This is where you define your AI’s capabilities and functionalities.
2. Message the GPT Builder: In the “Create” tab, interact with the GPT Builder to communicate your requirements effectively. You can simply ask the GPT Builder to create a custom AI for tasks like generating visuals for new products or formatting code.
3. Configure Your GPT: Proceed to the “Configure” tab to provide a name and description for your GPT. This is where you specify the actions you want your model to perform, such as web browsing or image creation.
4. Publish Your GPT: Once you’re satisfied with your model’s configuration, click “Publish.” You can also choose to share it with others, making it accessible for collaborative use.
5. Advanced Settings: For more advanced customization, here are some advanced settings in the “Configure” tab:
   • Adding an Image: You can ask the GPT Builder to create an image for your model, or you can upload your own.
   • Additional Instructions: This section allows you to provide detailed instructions or guidelines on how the GPT should behave, specify its functionalities, and define any particular behaviors to avoid.
   • Welcome Message: You can define the welcome message, which serves as the initial message that the model uses to start conversations, setting the tone and context.
   • Prompt Starters: These are examples of prompts you can provide for users to initiate conversations.
   • Knowledge: This feature allows you to provide additional context for your GPT to reference. It’s important to note that content from the files uploaded could be included in the model’s output.
   • New Capabilities: You can enhance your GPT’s functionality by enabling features like web browsing, DALL·E image generation, and advanced data analysis.
   • Custom Actions: By providing details about third-party APIs, such as endpoints, parameters, and descriptions of how the model should use them, you can make these external actions available to your GPT. Additionally, actions can be imported from an OpenAPI schema, making it easy to integrate third-party resources.

With these detailed steps, OpenAI’s GPTs can become quite helpful if you choose the right application for it within your website or app. And if this guide is still confusing, you can always hire OpenAI developers with us.

And what about OmniMind? Its AI customization level can’t be doubted, but how is it different from the OpenAI tool? Let’s do a step-by-step AI comparison.

Step-by-Step on Using OmniMind

OmniMind, an innovative tool for creating AI applications in industries worldwide, offers a framework for crafting personalized AI systems. Here’s a step-by-step guide to using the tool effectively:

1. Create the Project: Access OmniMind and click on the “Create Project” button.
2. Train with Your Data: Begin training it on your own data. The platform is capable of processing various data formats, including plain text, Dropbox files and folders, CSV files, YouTube playlists, and much more, making it adaptable to your specific needs.

For example: Click on “Website URL”. OmniMind makes it simple to add whole websites to your dataset. You can do this by providing the URLs you want to include, regardless of their size. The platform can handle even large websites like Wikipedia.

Having control over how the system processes your data, you can adjust settings for the depth and volume of website scraping. This gives you flexibility in managing your dataset.

3. Choose Widget Types: Whether you prefer brief or detailed explanations, you can choose from seven widget types to suit your specific needs, including Chat View, Explain View, Popup Chat, etc. 

For example: Click on “Chat View”. The chat format generates a list of suggested questions based on your data. You can select from these suggestions or write your own questions to test the assistant. You can also assess the sources the system used to provide the reply and turn it into a voice message.

4. Provide Feedback (optional): You can give feedback on the system’s answers after testing the model, helping it learn and improve over time.
5. Explore AI Customization: You can configure the system to focus on text matching or semantic similarity based on your preferences. Additionally, you can select different AI models, such as GPT 4, to meet your needs. Finally, you can totally control the look of your assistant before using it on your website or in your app.
6. Embed Widgets Across Platforms: For advanced users, OmniMind allows you to embed widgets across various platforms, including your website, corporate apps (Slack, Microsoft Teams), or your product application(s).

With OmniMind, you have a versatile AI tool that provides a lot of space for customization, data processing, and a variety of widget options, making it a valuable resource for a range of applications.

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GPTs vs. OmniMind: AI Tool Comparison

Both GPTs and OmniMind have their strengths and limitations. 

GPTs shine with user-friendly controls, offering straightforward steps for creation. However, its customization options may need improvement.

OmniMind, on the other hand, provides a comprehensive data processing approach, with around 50 sources of information you can use to teach your model. It also offers extensive personalization but with a steeper learning curve.

Here’s a comparison table to see what capabilities both solutions offer:

1. Pricing

2. Configuration

3. How to teach the model

4. Access sharing

5. Integrations

6. Extra features

Bottom Line:
In the current landscape, GPTs may appear easier to use, but they definitely lose to OmniMind in the depth of customization. 

Deciding between the two tools ultimately depends on your specific requirements.

Conclusion

The future of AI has become more accessible than ever, thanks to tools like GPTs and OmniMind. We’re dedicated to providing you with options to use the potential of artificial intelligence in your industry freely, covering all the informational needs of your users. 

As of this moment, GPTs offer convenience, while OmniMind stands out for those who seek maximum customization. The choice between them depends on your unique needs and the goals of your business. AI’s evolution continues, and so does our commitment to making it accessible.

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