Can ChatGPT and Google Bard build me an Exam Quiz Website?

How Changing Temperature with AI Causes Hallucinations

Introduction to AI Interaction

• The video introduces the concept of using a Python script to interact with ChatGPT and other AI models, including GPT-3 and GPT-4.

• Google Bard has been opened to over 180 countries and can now generate code, prompting a comparison with ChatGPT's capabilities.

Trusting AI Responses

• The speaker raises concerns about the reliability of AI-generated content, specifically mentioning quiz questions created by both ChatGPT and Google's Bard.

• An explanation of "temperature" in AI is provided; it affects randomness in responses. A temperature setting closer to zero yields consistent answers, while higher settings may lead to hallucinations.

Insights from Experts

• Dr. Mike Pound warns that AIs can confidently provide incorrect answers alongside correct ones, highlighting the need for caution when interpreting their outputs.

Using Python Script for Quiz Creation

• A simple Python script is introduced that requires an API key. Users can choose between models like gpt-3.5-turbo or DaVinci based on cost-effectiveness.

• The demo website showcases how users can create quiz questions where the AI generates multiple-choice options and indicates correctness.

Evaluating Quiz Questions

• An example question regarding IP address assignment reveals that DNS was incorrectly identified as the answer; DHCP is correct.

• Another question about OSPF administrative distance illustrates how routers determine optimal paths among multiple routes.

Comparative Analysis: ChatGPT vs. Google Bard

Performance Assessment of Security+ Questions

• The speaker evaluates Security+ questions generated by both AIs, noting that RSA is correctly identified as an asymmetric algorithm compared to symmetric algorithms like AES and Blowfish.

Limitations of Google Bard

• Observations indicate that Google Bard struggles with multiple-choice formats, often defaulting to 'A' as the correct answer across various questions.

Clarification on Technical Terms

• A detailed explanation differentiates between broadcasting and flooding in network terminology concerning hubs and switches, emphasizing accuracy in technical definitions.

Understanding Unicast, Multicast, and Broadcast Traffic

Unicast Frame Handling

• A unicast frame is sent only out of the port where the destination MAC address has been learned. If unknown, the switch floods traffic out of all ports except the incoming one until it learns the destination.

Multicast and Broadcast Traffic

• For multicast traffic, switches use IGMP to manage subscriptions from devices. This allows targeted flooding to subscribed devices rather than all ports.

Differences Between Broadcast and Multicast

• A broadcast address sends data to all hosts on a network, while a multicast address targets a specific group of hosts. The distinction lies in their reach: broadcast affects everyone on the local subnet or VLAN.

AI Hallucinations in Networking Questions

• Caution is advised when relying on AI for technical answers; inaccuracies can arise. An example includes incorrect maximum distances for EIGRP routes.

Misleading Technical Information

• Some AI-generated questions may not make sense or provide wrong answers, such as suggesting 254 routers can exist in a single Ethernet broadcast domain—this is determined by subnet masks.

• The claim that serial cables are used to connect routers is outdated; modern connections typically utilize Ethernet cables instead.

Website Creation Process

Setting Up Your Website

• To create a website, start by selecting options indicating personal use and self-construction. Choose "other" for website type when prompted.

Domain Registration Steps

• Claim your free domain (e.g., DavidBombalQuiz.com), providing necessary information for registration. Server location can be adjusted based on preference before finalizing setup.

Managing Your Website Files

• After server setup completion, you can manage your website files through file manager options like uploading JSON files containing quiz questions and other resources.

Previewing Your Website

• Once files are uploaded, preview your site to ensure functionality—check that quiz questions display correctly with answer options available upon submission.

Hosting Options

Hostinger Package Overview

Key Features of Hostinger Package

• The package allows the creation of up to 100 websites and includes a free domain name valued at $9.99, enabling users to host their website with a dedicated domain.

• Additional benefits include unlimited free SSL certificates, weekly backups, Cloudflare protected name servers, and a malware scanner.

• Users can opt for WordPress installation through a one-click option, making it easy to set up personal blogs or other types of websites.

Discount Information

• To receive an additional 10% discount, viewers are encouraged to use the provided link or coupon code "David Bombal" during checkout.

Setting Up the Environment

Initial Setup Steps

• A PDF guide is available for download that outlines how to register with ChatGPT and set up the necessary environment.

• The speaker demonstrates setting up Ubuntu in a Virtual Machine using VMware Workstation and recommends using Ubuntu 22.04.2 LTS.

Installing Required Software

• The first command executed is sudo apt update followed by sudo apt install python3-pip to install Python's package manager.

• Next, OpenAI is installed via pip with the command pip install openai, which is essential for accessing OpenAI's API.

Using Visual Studio Code

Installation and Configuration

• Visual Studio Code is installed from the Ubuntu software catalog; extensions such as Live Server are added for local code execution.

• The speaker connects a USB drive to transfer code files into a newly created folder named "GPT" within their home directory.

Running Local Server

• After opening the project in Visual Studio Code, the live server feature is activated allowing local testing of web applications.

Interacting with ChatGPT API

Executing Python Script

• The speaker runs a Python script designed to interact with ChatGPT API; they emphasize that viewers will need their own API key obtained from OpenAI’s website.

JSON File Handling

• Upon completion of the script execution, a JSON file containing generated data is created but requires manual formatting before use in applications.

Understanding GPT Model Limitations

Editing Requirements

Using DaVinci and GPT-4 for Web Development

Introduction to DaVinci Model

• The speaker introduces the use of the DaVinci model, specifically text-davinci-003, highlighting its capabilities compared to ChatGPT.

• Acknowledges that while GPT-4 is in beta, it is not used here due to limited access; emphasizes the importance of token management in API usage.

Token Management and File Handling

• Discusses the cost associated with using tokens and suggests using OpenAI's tokenizer tool for efficient token management.

• Demonstrates changing file names from ccna1.json to ccna-davinci.json, noting improved output quality from DaVinci compared to ChatGPT.

JSON Output Quality

• Compares JSON outputs from both models, indicating that while DaVinci may produce better results, manual editing is often necessary for optimal formatting.

• Suggests using GPT-3.5-turbo for most applications due to cost-effectiveness but acknowledges DaVinci's power when higher quality is needed.

Website Creation Using AI

• Describes how GPT-4 can assist in website creation, referencing a PDF guide linked in the video description.

• Mentions that prompt engineering could be a topic for future videos based on viewer interest.

Building a Responsive Web Page

• Outlines steps to create a responsive web page using prompts given to ChatGPT, starting with selecting GPT-4 on the website.

• Details specific design elements requested from GPT, including navbar features and button labels.

Implementation Steps

• Explains how to set up files in Visual Studio Code after generating HTML and CSS code through ChatGPT.

• Describes running a live server to view generated layouts and making adjustments as needed.

Final Adjustments and Testing

• Discusses moving files into the website directory and updating image placeholders within the HTML file.

Creating a Dynamic Quiz Website

Setting Up HTML and CSS

• The script in main.js begins with the declaration of four references using the CSS selector for IDs. Currently, there are no IDs in the HTML, necessitating the assignment of corresponding IDs to buttons in index.html.

• Each button has an event listener connected to its click event. This function initializes a session variable called quiz, which contains the path to the JSON file that quiz.html will load.

Designing the Quiz Interface

• The Navbar is designed to be customizable, allowing users to load their own logo and display specific exam types. A special area on the Navbar will showcase scores from challenging questions.

• A card titled "Questions" will be added to designate an area for quiz questions. An empty form element within this card will dynamically load questions as needed.

Implementing JavaScript Functionality

• The script loadquestions.js is integrated into quiz.html via a script tag. This script is responsible for dynamically loading questions from JSON files based on the previously created quiz session variable.

• Additional CSS rules are copied into styles_quiz.css, ensuring that explanation answers become visible when users answer incorrectly.

Debugging and Final Adjustments

• An error occurs related to a score variable due to mismatched selectors (class vs ID). Changing the score ID attribute in HTML resolves this issue, allowing functionality upon clicking submit.