Get ready to add another ace to your sleeve! This tutorial will guide you on creating your very own custom GPTs in just five minutes using the fresh OpenAI GPTs update. Knowledge really is power—a fundamental fact highlighted by the unveiling of OpenAI’s new versions—which incentive anyone wishing to get their share in monetary benefits from these OpenAI breakthroughs to master this essential skill.
Hosting this tutorial, renowned presenter, Liam Ottley will handhold you on the entire process, from uploading an instructional document to setting up and testing your GPT. He takes you through a relatable instance of creating a ‘sales assistant’ GPT for a hypothetical solar company, known as Smith’s Solar, using the OpenAI GPTs Knowledge Base and custom functions. And the best part? All this is scaled down to a beginner-friendly version, making it valuable for beginners and those looking to establish an agency.
Understanding OpenAI’s new GPTs
Understanding OpenAI’s new Generative Pre-trained Transformers (GPTs) is crucial for you, especially if you aim to make money with its releases or if you intend to sell GPTs to businesses. It’s like wielding the power of artificial intelligence at your fingertips.
Knowing the importance of creating custom GPTs
Creating your custom GPTs is not just about personalization; it’s taking AI to another level by tailoring the functionality to suit your specific needs or those of your clients. With custom GPTs, you can design unique AI applications with the capability to execute specialized tasks that standard AI models may not perform.
Understanding the latest OpenAI GPTs updates including the Knowledge Base and function calling
OpenAI’s latest GPT updates now include the Knowledge Base and function calling abilities. These features enhance the materialistic capabilities of these AI models, allowing them to interact with data more efficiently. The Knowledge Base is a feature that lets you upload an instructional document to your GPT, giving it the base knowledge it needs to operate. Meanwhile, function calling lets your AI customize complex tasks by creating custom actions specific to the requirements.
Delineating the Use Case
Before diving into creating a custom GPT, let’s identify an example: a ‘sales assistant’ GPT for a hypothetical company known as Smith’s Solar.
Identifying the requirement for a ‘sales assistant’ GPT for Smith’s Solar
Smith’s Solar needs a GPT that can efficiently assist its sales team – a sales assistant GPT. This GPT should provide valuable insights to junior sales reps, helping them understand company standard operating procedures and offering comprehensive sales support.
Details about the custom functionalities required in the GPT
This custom GPT should not only answer related queries but also perform the specific task of solar calculations. This requirement will lead us to create a solar calculator tool, serving as a vital asset to sales reps when dealing with customers.
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Getting Started with GPT Creation
Now, let’s get into the creation of our custom GPT, specifically, a sales assistant GPT for Smith’s Solar.
Introduction to the OpenAI GPTs interface
OpenAI’s GPTs interface is quite user-friendly. The first step involves naming your GPT, then providing a description that outlines its purpose. Subsequently, you will write the instructions for the GPT to guide its operation.
Uploading the instructional document for getting base knowledge
The next step involves uploading an instructional document to your GPT. This document that contains information on Smith’s Solar sales processes and training information provides the base knowledge needed for your GPT to perform effectively as a sales assistant.
Adding custom functionalities
Creating custom functions is an exciting part of creating custom GPTs. It’s where we make our AI more useful to our specific task.
Introduction to creating custom actions
In addition to loading our GPT with the base knowledge, we need to add custom actions to it. Custom actions allow our GPT to execute complex tasks it wouldn’t naturally perform. These actions require a schema definition that clarifies the input and output structures.
Developing a solar calculator tool for sales reps
To ensure that the Smith’s Solar sales reps can get solar estimations on the go, we will create a solar calculator tool. It’s a targeted function that makes our GPT exceptionally valuable to Smith’s Solar.
Setting up the GPT
The steps to set up a GPT include providing a description, stating the instruction, adding the knowledge base, and creating the custom action.
Steps to set up the GPT
After initializing the GPT and setting up the knowledge base and custom actions, you need to set up the GPT properly to align with the tasks it’s expected to perform. This setup includes confirming the operations, taking the time to test, and saving your settings.
Testing the operations of the GPT
Testing our custom GPT is essential. This way, you can ensure it’s providing correct responses to queries based on the provided knowledge base and effectively utilizing the custom action – in this case, the solar calculator tool.
Utilizing Replit for back-end execution
Replit is a collaborative, browser-based Integrated Development Environment (IDE) that can handle back-end logic for executing tasks like calculating solar estimations.
Using Replit to handle back-end logic
We’re using Replit to handle the back-end execution of the solar estimation calculations. This platform hosts the code that computes the solar estimations based on the given inputs.
Computing solar estimations with Replit
Through Replit, our custom actions can instruct our GPT to return valuable estimation data for Smith’s Solar clients, thereby making our GPT a useful tool for the sales reps.
Accessing Tutorial Resources
While constructing your custom GPT, you can access the tutorial resources for additional guidance and to streamline the creation process.
Locating the resource hub
The resource hub, where you can access the resources, is easily accessible. It offers the sales rep training document, code snippets, and other helpful resources for constructing a custom GPT.
Accessing templates, codes, and documents used in the tutorial
The resource hub holds everything from document templates and snippets of code, to reference materials used in this tutorial. These resources will assist you in creating your own custom GPT smoothly.
Commercial Potential of Custom GPTs
Creating custom GPTs can be more than just a personal project; it can also be a profitable venture.
Identifying business opportunities with custom GPTs
Custom GPTs can provide unique solutions to specific business challenges. By crafting these AI tools uniquely suited to a business’s needs, you can create a profitable venture selling these GPTs to businesses.
Ways to monetize these custom GPTs
You can monetize these custom GPTs by either selling them directly to businesses or by creating a subscription-based platform that provides client access to these tools.
Staying Connected for Updates
Staying connected is the key to staying informed about updates and progress in the field.
Joining Liam’s telegram group
By joining Liam’s telegram group, you can stay updated with regular news and advancements in the field, enabling you to stay on top of the rapidly evolving AI tech world.
Future plans and upcoming updates on the subject
Liam’s future plans include more detailed tutorials and insights into the world of GPTs. By staying connected, you can look forward to these updates that will further hone your skills and understanding of GPTs.
Conclusion
Developing a custom GPT is an exciting journey. It’s where creativity, technology, and purpose intersect. This guide has walked you through creating a ‘sales assistant’ GPT for a hypothetical company, Smith’s Solar. You’ve learnt about uploading base knowledge, adding custom functionalities, and setting up the GPT that aligns with a business’s unique needs.
Recap of the tutorial
In this guide, You’ve learnt the importance of understanding how to create custom GPTs. You’ve familiarized yourself with the OpenAI GPTs interface and understood how to set up your GPT using the solar calculator tool as an example. You’ve also delved into using Replit for back-end execution and learnt where to access the important resources for the tutorial.
Get ready to develop your own custom GPTs!
Now, it’s your turn. Embark on your adventure with GPTs and create your own context-aware, AI-driven applications. Remember, with the huge commercial potential of these GPTs, you’re not just creating; you’re innovating. Happy building!
