AI for Everyone - What is Artificial Intelligence
A developer wrote code to train an AI model but forgot to provide labels for the training data. What is the most likely problem?
A developer wrote code to train an AI model but forgot to provide labels for the training data. What is the most likely problem?
medium📝 Analysis Q6 of 15
Step-by-Step Solution
Solution:
Step 1: Identify role of labels in training
Labels provide the correct answers needed for supervised learning.Step 2: Understand consequence of missing labels
Without labels, the model cannot learn to associate inputs with correct outputs.Final Answer:
The model cannot learn to map inputs to correct outputs -> Option AQuick Check:
Missing labels = No supervised learning [OK]
Quick Trick: Labels are needed for supervised learning [OK]
Common Mistakes:
MISTAKES- Thinking model trains faster without labels
- Assuming labels auto-generate
- Believing model ignores unlabeled data
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