How to Create A Custom GPT - Build Your Own ChatGPT
Are you thinking about how to create a custom GPT using ChatGPT 4 and the GPT Builder? 🚀
Today, I'm excited to share with you the process of creating a custom GPT, specifically focusing on ChatGPT 4, the cutting-edge AI tool from OpenAI. This video is a deep dive into the world of AI and GPTs, tailored for both beginners and seasoned tech enthusiasts. Please let me know in the comments if you like this style of editing, and any improvements I appreciate all of y'all! 🙏🏽
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🔍 What's Inside:
Starting with ChatGPT: I'll walk you through how to log into ChatGPT and navigate to "My GPTs" where the magic begins.
GPT Builder in Action: Experience how the GPT Builder works. I show you both the automated and manual configuration methods, letting you choose the best approach for your needs.
Creating a JSON Data Analyst: I use "JSON GPT" as a test case to demonstrate how to build a GPT that specializes in analyzing data from APIs.
Exploring GPT Capabilities: Learn about various capabilities like web browsing, DALL·E image generation, and the code interpreter feature in ChatGPT 4.
Integrating with APIs: I’ll take you through the process of adding custom actions and APIs, using weather data retrieval as an example and then adding our own data with JSON placeholder users.
AWS and Lambda Functions: Get a hands-on guide on creating a lambda function on AWS, essential for integrating your GPT with external data sources.
Python Coding: I'll share my Python code for fetching and processing API data, available on GitHub for you to use and modify.
Real-Time Data Retrieval: Watch as I demonstrate how the custom GPT fetches and displays data, even dealing with complex datasets. The custom GPT utilizes the code interpreter tool to help it display data we fetched from the API.
Saving and Using Your GPT: I’ll show you how to save your newly created GPT for personal use or share it with the world.
🌐 Stay Connected:
More Features and Functions: There's so much more you can do with custom GPTs this is just to get you off the ground and I will be creating more in depth videos to help you build out robust GPTs that you can add to the store and monetize in the future.
Your Turn to Build: I encourage you to try building your own GPTs and share your creations in the comments below.
👍 Support the Channel:
If you find this video helpful, please drop a like, comment with your thoughts, and share it with others who might be interested in AI and GPT technology. Your support means a lot to me!
🔔 And don't forget to subscribe for more AI news, tech tutorials, and updates on tools like ChatGPT, AWS, API Gateway, and more.
Join me on this journey into the future of AI and custom GPT creation. Let's explore what's possible with ChatGPT 4, OpenAI's revolutionary AI platform. 🌟
Github Repo: https://github.com/isaiahbjork/create...
My Links: https://linktr.ee/isaiah_bjork
Timestamps:
[00:00] Introduction and logging in to ChatGPT
[00:12] Explaining what GPT Builder is and creating a custom GPT with ChatGPT Builder
[00:26] Configuring the custom GPT, choosing a test ChatGPT
[00:43] Briefing about additional attributes, and setting up the GPT
[01:01] Adding extra knowledge, discussing capabilities like a GPT action
[01:16] Discussing weather data example as a custom ChatGPT actions
[01:30] Elaborating on the use of weather data along with location info
[01:43] Discussing available actions and their schematics
[01:56] Explaining authentication specifics
[02:13] Process of creating a Lambda function on AWS
[02:26] Setting up the Python environment and architecture
[02:42] Creating an HTTP API
[02:54] Integration of Lambda with API
[03:08] Setting up API options and integration rights
[03:23] Restating Lambda function and refreshing triggers
[03:39] Using API endpoint in the function call
[03:54] Dumping user data to ChatGPT as JSON
[04:11] Re-editing the code and using an API endpoint
[04:28] Modifying the code to retrieve JSON data
[05:09] Finalizing the code and removing unnecessary parameters
[05:28] Sending a message to GPT and receiving confirmation
[05:58] Displaying user locations on a map
[06:29] Analyzing the results displayed
[07:07] Questioning the accuracy of the data displayed
[07:22] Confirming successful implementation of data retrieval and display
[07:34] Saving and testing the custom GPT
[07:51] Discussing future possibilities and extensions
[08:05] Conclusion and appeal for engagement with the audience
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