[Solved] An AI model is trained but keeps making wrong predictions. Which of these is a likely cause? - Ans: The training data has errors or is too small | AI for Everyone

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An AI model is trained but keeps making wrong predictions. Which of these is a likely cause?

AThe AI model is perfect and cannot make mistakes

BThe training data has errors or is too small

CThe AI ignores data and guesses randomly

DThe AI model was trained with too many examples

Step-by-Step Solution

Solution:

Step 1: Identify common training problems
Errors or too little data can cause the AI to learn wrong patterns or not enough patterns.
Step 2: Evaluate options for cause of errors
The training data has errors or is too small correctly points to data issues; others are false or unlikely causes.
Final Answer:
The training data has errors or is too small -> Option B
Quick Check:
Bad or small data causes errors = A [OK]

Quick Trick: Check data quality and size if AI makes errors [OK]

Common Mistakes:

MISTAKES

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