codex-lv2-may-2025

Week 7 Glossary (Cross-Referenced)

Week Theme

Week 7 (AI Week)

The final week of the course, introducing AI and culminating in building a chatbot project. It tied together all prior skills: Git Workflow, Bootstrap, HTML & IDs, Postman, and onEvent. —

Core Concepts

AI (Artificial Intelligence)

The central theme of Week 7.

• AI models process Strings as input (e.g., user question) and return a response.
• Compared to APIs: “just like the [Weather API], but it’s AI.” → Related: Inference, Prompt Engineering, Chatbot

AI Models

Algorithms trained to perform tasks such as text generation.

• Gemini: Google’s AI model.
• LLaMA (3.1): Meta’s AI model (requires agreement).
• DeepSeek: From China.
• Alexa: Amazon’s assistant model.
• Grok: Twitter/X’s model.
• OpenAI: Set the “standard” for messaging models.
• Fireworks: Company providing model hosting hardware.
• Functionality: generate text, mimic personalities, act like “magic 8-ball.” → Related: Hugging Face, Inference

Hugging Face

Website/platform for exploring AI models.

• Filter Models: By task (e.g., text generation) and inference providers.
• Code Snippets: Provided for API interaction (similar to Postman).

Inference

Process of an AI model making predictions or generating responses.

• Example: chatbot replies. → Related: AI, Text Generation (AI)

Prompt Engineering

Crafting inputs to shape AI outputs.

• Context: Improves accuracy.
• Critique Code: Ask AI to review/debug.
• Personality: Change model “style.”
• Input/Output: User → model input; bot → model output. → Related: Chatbot

API Token

Credential required to access certain AI models (e.g., Hugging Face).

• Created in dashboard (e.g., “Demo for class”).
• Critical for secure access. → Related: Secret Variables, Postman —

  Main Project

Chatbot

The culminating project for Week 7.

• Inputs: user’s message.
• Outputs: AI model response.
• Style: polished with Bootstrap.
• Interactivity: driven by Event Listeners. → Related: fetch function, setText(), DOM —

  Programming Concepts

fetch Function

JavaScript function for network requests.

• Asynchronous → returns a promise.
• API responses → JSON → POJO. → Related: Requests & Responses, Chatbot

POJO (Plain Old JavaScript Object)

Used as structured “data” parsed from JSON API responses. → Related: JSON, Destructure

setText()

Updates an HTML element’s text (e.g., showing chatbot reply). → Related: getText(), HTML Elements / IDs

HTML Elements / IDs

Fundamental for targeting parts of the chatbot page.

• Example IDs: userMessage, messageOutput. → Related: ID Attribute, DOM

Event Listeners (onEvent callbacks)

Wait for user interactions (e.g., button click).

• Crucial for running chatbot code. → Related: onEvent, Callback Functions —

  Tools & Workflow

Git Workflow

Continued use of git add, git commit, git push. → Related: Repositories, GitHub

Bootstrap

Reused to make chatbot UI professional. → Related: Utility Classes, Grid System

Terminal / Shell

Used for project setup (mkdir, touch). → Related: Mkdir, Project Workflow

Debugging

• Alt-Shift-F: auto-format in VS Code.
• npx light-server: run chatbot locally. → Related: Console Log, Debugging

AI Copilot

An integrated coding assistant (e.g., GitHub Copilot).

• Sometimes useful, sometimes distracting.

Class-Specific AI

(Implied: Google NotebookLM).

• Indexed class transcripts.
• Answered who said what, with timestamp links.
• Less strong for general knowledge than ChatGPT, but domain-specific.