Chapter 1: Introduction to GPT-3

Welcome! GPT-3 (Generative Pre-trained Transformer 3) is a sophisticated language model created by OpenAI, typically utilized via Python programming. Below, you will find a Python example that enables terminal interaction with GPT-3. This script prompts GPT-3 using its “text” module and retrieves the generated response.

To get started, you'll need your OpenAI API key, which can be obtained from the OpenAI website.

Section 1.1: Setting Up Your Environment

You can engage with GPT-3 directly through the terminal using the following Python code:

import openai

# Set OpenAI API key

openai.api_key = "YOUR_API_KEY"

# Pose a question to GPT-3

response = openai.Completion.create(

engine="text-davinci-002",

prompt="What is the capital of France?",

temperature=0.5,

max_tokens=30,

top_p=1,

frequency_penalty=1,

presence_penalty=1

)

# Output the answer

print(response["choices"][0]["text"])

In this code snippet, GPT-3 is asked, “What is the capital of France?” using the “text-davinci-002” engine. The response is accessed through the “text” property of the first item in the “choices” array.

This information should help you get started! If you have further inquiries, feel free to ask.

Subsection 1.1.1: Visual Reference

Chapter 2: Video Tutorials

To enhance your understanding, here are some useful video resources:

The first video titled "GPT-3 in Python Tutorial using the OpenAI API and Weights & Biases (Model Behind ChatGPT) - YouTube" delves into how to effectively utilize the OpenAI API in Python.

Next, check out "I Built My Own AI Terminal Assistant With Python and GPT-4 - YouTube", showcasing how to create an AI assistant using Python and GPT-4.

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Ersin Ak?ar is a creator focused on programming, AI, and space engineering, with over nine years of software development experience.

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