Explaining ChatGPT using ChatGPT

ChatGPT has been all the buzz lately and we are putting together an initial PD session at my current school for our teachers. While looking around at the types of things we might cover, I wondered if ChatGPT could tell us about itself in simple terms so that anyone could understand. Below are the questions I asked and the responses it gave.

What are you?

I am an artificial intelligence assistant trained to assist with a wide range of tasks and provide information on a wide range of topics. I was created using a type of machine learning called deep learning, which involves training a model on a large dataset and fine-tuning it to recognize patterns and generate responses.

As a language model, I have been trained on a very large dataset of text and am able to generate human-like responses to a wide range of questions and prompts. I can understand and respond to a variety of inputs and provide information and assistance on a wide range of topics. I am not a physical entity and exist only as a software program.

Explain how you were programmed in simple terms

I was created using a type of artificial intelligence called machine learning. To create me, my developers fed a very large dataset of text into a machine-learning model and used that data to train the model to generate text. The model was then fine-tuned and tested to ensure that it could generate text that was coherent and made sense.

In more specific terms, my developers used a technique called “unsupervised learning” to train me. This means that they did not explicitly tell the model what to do or what the correct output should be. Instead, they fed it a large amount of data and let it learn to recognize patterns and generate responses on its own.

I am a large language model, which means that I have been trained on a very large dataset of text and am able to generate human-like text in a wide range of contexts. I can understand and respond to a variety of questions and prompts, and I can provide information and generate responses to a wide range of topics.

What types of data is a part of your data set

As a large language model, I was trained on a dataset of text that includes a wide range of written materials, including books, articles, and websites. This dataset includes texts from many different domains and covers a wide range of topics, including science, literature, history, and current events.

The specific texts that were included in my training dataset were selected based on their relevance, quality, and diversity. The dataset was carefully curated to ensure that it was representative of the types of texts that I would encounter in real-world situations and that it would provide me with the knowledge and skills necessary to assist users with a wide range of tasks and provide information on a wide range of topics.

I was not designed to handle or process data types other than text, such as images or audio files. I am able to understand and respond to text-based inputs and provide text-based responses, but I do not have the ability to process or analyze other types of data.

What is a language model?

A language model is a type of artificial intelligence that is used to process and analyze natural language data. It is designed to recognize patterns and generate responses in a way that is similar to how a human would process and understand language.

Language models are trained on large datasets of text and are able to generate human-like responses to a wide range of questions and prompts. They can be used for a variety of tasks, including language translation, text generation, and language understanding.

There are several different types of language models, including statistical language models, which are based on probability theory, and neural language models, which are based on artificial neural networks. Large language models, like me, are a type of neural language model that have been trained on very large datasets and are able to generate human-like text in a wide range of contexts.

I think ChatGPT did a great job of describing what it is and how it was created.

Thanks for reading

Dr. Shannon H. Doak