Building a Custom GPT with OpenAI's new GPT Builder

Introduction

The recent unveiling of GPT Builder marks another significant milestone in the usability of GPTs, introducing an emerging layer of abstraction. I think this inevitably means an expansion in the number and diversity of developers engaging with GPTs, and paves the way for a broad spectrum of applications. I expect that soon advanced custom GPTs will possess an array of capabilities, including reading, writing, auditory processing, verbal communication, visual recognition, artistic creation, and cognitive processing.

GPT Builder enables these models to leverage existing digital tools, specialize in specific domains, access and utilize custom datasets, and perform various actions within the digital landscape. The ability for these models to exhibit tailored communication styles, perform distinct actions, and collaborate with one another, opens up new frontiers in AI.

This advancement is not just a step forward in AI technology; it represents a profound shift in how we interact with and utilize computational resources. As we accelerate into this journey, it's important for stakeholders across industries to prepare for the transformative changes that these technologies are poised to bring.

Here is my Custom GPT, which is called AI Project Navigator. Please give it a try.

Building and publishing the AI Project Navigator took less than 30 minutes.

Building and Publishing the AI Project Navigator

GPT Builder

Navigate to My GPTs and select Create a GPT:

Data Loading and Extraction: Loaded the provided CSV file and extracted the AAPL_rr and AAPL_lr columns

GPT Builder will guide you through the process of building your custom GPT:

Visual Analysis: Plotted both time series to get a visual understanding of their patterns

The initial model, which GPT Builder suggests we call AI Project Navigator, is now ready:

Visual Analysis: Plotted both time series to get a visual understanding of their patterns

I give AI Project Navigator a custom image that I constructed with DALLE-3:

Visual Analysis: Plotted both time series to get a visual understanding of their patterns

I continue to provide more detailed guidance to the model:

Data Loading and Extraction: Loaded the provided CSV file and extracted the AAPL_rr and AAPL_lr columns

And that's it. It is now ready for use:

Visual Analysis: Plotted both time series to get a visual understanding of their patterns

Simply describe your project and let AI Project Navigator give you a plan for a POC:

Visual Analysis: Plotted both time series to get a visual understanding of their patterns

Finally, I work in the Configure window to refine various aspects of the set up:

Visual Analysis: Plotted both time series to get a visual understanding of their patterns

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