GPT Chatbots: Digital Brand Reputation

Business / Digital Transformation

GPT Chatbots: Digital Brand Reputation

Generative Pre-trained Transformers (GPTs) will transform life and business as we know it. This post explores programming a ChatGPT enabled chatbot and connecting it to data sources to create a GPT digital representative.

What’s Different About GPTs?

The use of AI models is a sea change in architecture and nothing like traditional programming. In the past, humans were required to input data into a computer system or network designed to transform and output it according to specific use cases. In other words, the system was designed for a specific purpose or set of objectives. When the purpose shifted, the humans operating it programmed additional features and functionality into the system.

An AI model, on the other hand, is designed to provide output for specific use cases while learning on its own. Whereas a programmer may have previously been required, GPTs can now interface with humans who “train” the model using natural language. The more training data fed into it, the more accurate the AI model. In other words, the tech is becoming “smarter” and reducing the need for human intervention and programming. For example, I used ChatGPT itself to generate much of the code for this chat application, saving me time I could then use to write this article.

In 2018, GPT-1 fed more than 100 million example datasets. A year later, GPT-2 was trained on more than a billion, and GPT-3 had 150 times that amount. In 2022, GPT-3.5 was used to create the controversial ChatGPT. See ChatGPTneural network, and DALL-E.

Why are GPTs Controversial?

GPTs change the future in two primary ways:

01.
GPTs fundamentally change the way end users interact with knowledge.
02.
GPTs fundamentally change the way knowledge is managed.

1 User Interaction

In today’s web search model, the end-user acts as the point of processing agency. A traditional query process looks like the following:

GPT-Flow-Search

The AI interpretation model alters the process, causing the AI engine to act as an agent on behalf of the end-user. The AI query process looks like this:

GPT-Flow-AI

2 Knowledge Management

In a scenario where customer service reps are handling queries on behalf of a company, the GPTs are able to perform much of the work previously managed by human efforts:

GPT-Flow-CX

Customer service reps now move into the role of quality control auditors and managers. Individuals who previously conversed with customers now become the “watchers” of the conversational AI. They review conversational threads, managing and correcting response quality and accuracy. The company workers shift into a role of continuous quality improvement.

Branded GPT ChatBot

Your business can build a GPT chatbot to integrate into its operations. In the following example, I demonstrate how to integrate and work with a chatbot designed to be a virtual company brand rep.

UI Design

Design an interface for your ChatBot.

Screenshot 2023-12-19 at 2.08.46 PM

Register for an OpenAI Account

Visit OpenAI to register an account, sign up, and subscribe for an API key.

Integrate Chat Technology

Products and services used in this example:

  • OpenAI Subscription
  • Web Server running HTML/CSS/PHP

The GPT acts in accordance with the prompt instruction. For my example GPT rep, the key line of code telling it how to act is found here in the code:

Train Your Model

Screenshot 2023-12-19 at 2.14.56 PM

In addition, GPTs can utilize uploaded documents (Word documents, PDF files, JSON files, etc.) containing text for specific answers you want it to generate. For example:

Screenshot 2023-12-19 at 2.17.10 PM

The GPT can also be programmed to generate responses from website URLs, making it possible answer questions in a given manner and from live data sources. In the coming months and years, software companies will release APIs to connect GPTs to virtually every data source imaginable, including large internal data repositories like SharePoint.

My brand rep is connected to the following data sources:

JSON Q&A File
Uploaded PDF Documents
Two (2) Websites

Over time, you can connect additional data sources to your GPT through APIs, making it possible for the AI dataset to improve its body of knowledge. As the system responds, the responses can be tuned (trained) for higher accuracy and quality.

bot1

Get a GPT-Powered ChatBot for Your Business Website

Build a custom GPT, embed it on your website and let it handle customer support, lead generation, engage with your users, and more.

PSA: Remember to relax, stay focused on your health, and have fun with IT!

Joke of the Day

Chuck Norris once won a game of Connect Four in three moves.