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MS AI How AI Learns: Training Data Riddles

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MS AI How AI Learns: Training Data Riddles

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Riddles about how AI learns from data.

Created by

Tech for Everyone
Tech for Everyone
United States

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MS AI How AI Learns: Training Data Riddles
 

MS AI How AI Learns: Training Data RiddlesOnline version

Riddles about how AI learns from data.

by Tech for Everyone
1

I am the thousands of pictures of apples and pears, That teach the computer so it is prepared. I am the examples the system must see, To learn what a "cat" or a "dog" ought to be. If I am missing, the model is blind, I am the study material for the digital mind.

Hints

Not the model itself

Used to train models

Found in datasets

2

I am the bad habit that happens when data is skewed, Causing the system to act unfair or rude. If you only show faces of a specific kind, I am the error that you will soon find. I happen when the examples are not quite complete, Leaving some people out of the driver's seat.

Hints

Affects fairness

Result of unrepresentative data

Systematic error

3

I am the process of guessing and checking the score, Practicing examples to learn more and more. I don't understand meaning, but I find the link, Between the patterns and what you might think. I adjust my own rules when I get answers wrong, To get better at predictions all the day long.

Hints

Core of AI training

Not fully understanding

It improves with data

4

I am the hardware that acts as the "eyes" or the "ears," Capturing the world so the data appears. I might be a camera on a self-driving car, Or a mic detecting a voice from afar. I turn real-world signals into digital code, So the AI can travel the information road.

Hints

Seen on devices and cars

Input devices for AI

Capture signals

5

I am the special tag that gives the answer away, Telling the AI, "This is a horse eating hay." I help the computer know right from wrong, So it knows where the different patterns belong. Without me, the training would be just a guess, And the sorting of photos would be a big mess.

Hints

Used for supervision

Attached to data

Indicator of correct class

6

I happen after the training is done, To make sure the system is ready to run. You show me new data I’ve not seen before, To see if my accuracy is high on the score. If I fail at this step, I must go back to school, Because using an untested model is foolish, not cool.

Hints

Checks model performance

Occurs after training

Evaluate on new data

 
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