Visualizing ChatGPT - A Picture IS worth a 1,000 Words !

For all you "visual" learners !

In my January 16th 2023 blog entry, I shared my first ChatGPT diagram representing my initial understanding of the ecosystem. Since then, I have read thru a wealth of ChatGPT news/articles that have significantly increased my knowledge about both ChatGPT and Large Language Models (LLM).

But for all of that reading, what I didn’t come across was a diagram that visualizes the ChatGPT ecosystem. As the ChatGPT ecosystem has multiple sections (each of which will likely evolve) - having a reference diagram everyone can use to understand those elements is a GREAT starting point.

So in the absence of such a diagram - I present my latest visualization of the ChatGPT Ecosystem (coupled with capabilities I expect to see). And while this diagram is primarily focused on ChatGPT - I expect that this “framework” will be applicable to any Large Language Model (LLM) implementation.

NOTE: This is a rapidly moving space and I continue to learn nuances about this space. I expect this diagram to evolve - but if you see something you don’t agree with - PLEASE let me know !

Model Sections

The following are my insights into the various pieces of this model

Large Language Model Construction

This section represents the attributes that go into creating a GPT Model - So expect to see Models that are

• Open/Closed - This is specific to the data used to create it

• Fee / Free - Basically Commercial Models vs Open Source Models

Engagement Sources

This is a subset of the people/devices we should expect to see interact with a GPT Model. One item to note - there is currently NO common “front end” across LLM Models for these people/devices to access

ChatGPT / Model Implementation

There is a LOT within this section of the model - and where I expect to see the most growth. Capabilities I expect to see include:

• User Personalization - How you can personalize a model to interact with you

• LLM Persona - I expect Models to have their own “personality” - Just like a person !

• Conversation History / Cache - What the Model “remembers about you”.

LLM Plugins

As it takes time to create (and train) these models, Plugins will allow models to access “real time” or corporate data.

Summary

I hope you find this diagram useful. I already have plans to leverage this in several upcoming blog entries (so expect to see more of it) !!!