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Make America AI-Ready:
Lesson 2: How AI Learns
🤠 Think about how you learned to cook. You watched someone do it. You followed a recipe. You burned a few things. You told everyone that the smoke alarm was “just being dramatic." Eventually, you got a feel for it.
AI learns in a similar way, minus the smoke alarm. Here's the process in 3 steps:
🔍 Step 1: STUDY
Just like you'd study before a test or prep before an interview, AI studies millions of examples (websites, how-to videos, artwork, recipes) and looks for patterns.
There are patterns in everything, like how:
🎭 Shakespeare structuresoing this pattern-finding and predicting is called a NEURAL NETWORK. 🧠
Let's practice:
Imagine you ask AI to "explain budgeting tips using a cooking analogy."
❓ What is AI doing in this scenario to create this budgeting advice?
A: Searching the internet for an article that combines budgeting and cooking
B: Connecting patterns from budgeting and cooking content to generate a new explanation
C: Copying a budgeting article and replacing certain words with cooking terms
https://p.twil.io/szCSs0E5EN
ure of polite emails: a greeting, gratitude, closing.
The system d
rtain amount of flour, sugar, and eggs to make a cake
🔍 Step 2: P
doesn't "know" the answer. It predicts.
👀 For example, if you as
ked AI to "Write a thank-you email," AI predicts the typical struct
his plays
🎵 Justin Bieber writes his lyrics
🍰 Recipes mix a ce
REDICT
After studying, AI makes a smart guess about the answer. AI
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