AI Education

Four examples of Artificial Intelligence (AI), 4 levels:

AGENT

LLM

CHATBOT

Narrow AI

This list of AI is In descending order of complexity.

Agentic or Conversational AI

between Large Language Models and Conversational AI it is a pre-set program inside of the program forcing specific calculated outputs. It is also a set of technologies—like advanced chatbots and virtual agents—that allow computers to understand, interpret, and respond to human language in a natural, human-like way

Large Language Model (LLM)

An LLM (Large Language Model) is a type of artificial intelligence designed to read, understand, and generate human-like text. It powers conversational tools (like ChatGPT) by scanning vast amounts of data to predict and construct natural-sounding sentences.

Large Language Models: This model uses a massive matching system that scores how strongly every single word in a text relates to every other word at the exact same time, creating a giant probability chart to guess the absolute best next word.

Chatbot

This Chatbot uses data management and equations associated with data acquisition to output a Proprietary mathematical complex

Narrow AI

Narrow AI (also known as Weak AI or Artificial Narrow Intelligence) is AI trained to perform a highly specific task or a limited set of closely related tasks

Programming

this is code in Java Script

if this then that ; unless this

If : Then

  hello : Hello! How can I help you today?

  hi : Hi there! I'm your friendly narrow AI agent.

  how are you : I'm just code, but I feel efficient!

  what is your name : I am a Narrow AI Agent, specialized in simple Q&A.

;Unless.

I'm sorry, I can only answer limited questions within my scope

// A limited knowledge narrow AI agent - responds to predefined inputs

const knowledgeBase = {

"hello": "Hello! How can I help you today?",

"hi": "Hi there! I'm your friendly narrow AI agent.",

"how are you": "I'm just code, but I feel efficient!",

"what is your name": "I am a Narrow AI Agent, specialized in simple Q&A."

};

// Function to handle user input and generate a response

function processInput() {

const inputBox = document.getElementById("user-input");

const chatbox = document.getElementById("chatbox");

let userText = inputBox.value.trim().toLowerCase();

if (!userText) return;

// Display user input

chatbox.innerHTML += `<div class="user"><b>User:</b> ${inputBox.value}</div>`;

// Generate agent response

let response = knowledgeBase[userText] || "I'm sorry, I can only answer limited questions within my scope.";

// Display agent response

chatbox.innerHTML += `<div class="agent"><b>Agent:</b> ${response}</div>`;

// Scroll to bottom

chatbox.scrollTop = chatbox.scrollHeight;

inputBox.value = "";

}

All material copyrightprotected. Data Crated by Travis Raymond-Charlie Stone at, Stone Technologies a subsidiary of, Stone Software Solutions LLC