Exploring GPT: How the ChatGPT Model Works

Introduction to ChatGPT

ChatGPT is a computer program that can talk like a human. It can understand what you say and respond to you just like a friend would. Imagine you have a robot friend that you can talk to and ask it questions and it can answer you back! It’s like having a magical talking computer!

The more complex explaination is ChatGPT is an open-source conversational language model based on the GPT (Generative Pre-training Transformer) architecture, it’s been trained to predict the next token in a conversational context.

Diagram of the ChatGPT model

To learn more about the GPT architecture, you can refer to this paper

In this post, we’ll explore how ChatGPT can be used in a chatbot application.

Generating Responses with ChatGPT

Here is an example of how you might use the model to generate a response to a user’s message in a chatbot application:

import openai_secret_manager

# Get API key
secrets = openai_secret_manager.get_secret("openai")
api_key = secrets["api_key"]

# Use the API key to create a session with the API
import openai
openai.api_key = api_key

# Use the session to generate a response to the user's message
prompt = (f"Your message")
completions = openai.Completion.create(
    engine="text-davinci-002",
    prompt=prompt,
    max_tokens=1024,
    n=1,
    stop=None,
    temperature=0.7,
)

# Print the generated response
message = completions.choices[0].text
print(message)

If you head over to ChatGPT and sign up you can start testing some of it’s features. It’s free. Just start asking it?, I guess it’s an it, some questions.