ChatGPT Voice-Powered Chatbot Build with React and FastAPI - Prompt Engineering ChatGPT

This video tutorial provides an introduction to using ChatGPT, specifically the GPT-3.5 Turbo API. It covers setting up a local JSON database for storing chat logs, creating functions for message handling, and techniques for prompt engineering. The tutorial also explains how to manage message history and retrieve data effectively, with a focus on Python programming and debugging.

What is the primary version of ChatGPT discussed in the video?

• GPT-2

• GPT-3

• GPT 3.5 Turbo

• GPT-4

What is the purpose of making a call to open AI dot chat completion dot create?

• To delete previous conversations

• To download ChatGPT

• To initiate a conversation with ChatGPT

• To update the ChatGPT software

Which database solution is recommended for storing conversation logs?

• MySQL

• Firebase

• MongoDB

• Superbase

What file format is used for the local database in the tutorial?

• JSON

• CSV

• TXT

• XML

What role is assigned to ChatGPT in the prompt engineering example?

• Teacher

• Developer

• Interviewer

• Salesperson

What is the name given to the ChatGPT assistant in the example?

• Alex

• Shawn

• Rachel

• Jordan

What is the probability of adding humor to the ChatGPT responses during testing?

• 20%

• 70%

• 50%

• 10%

What is the purpose of adding randomness to the prompt engineering?

• To enhance user engagement

• To confuse the user

• To reduce response time

• To make the application unpredictable

How many recent messages are retrieved from the JSON file by default?

• 20

• 5

• 10

• 15

What is a common issue faced when coding in Python, as mentioned in the video?

• Slow execution

• Syntax errors

• Indentation errors

• Memory leaks