AI for Everyone - What is Artificial Intelligence
During training, an AI model's accuracy does not improve even after many iterations. What could be a likely cause?
During training, an AI model's accuracy does not improve even after many iterations. What could be a likely cause?
medium📝 Analysis Q7 of 15
Step-by-Step Solution
Solution:
Step 1: Understand factors affecting training accuracy
Small or non-diverse data limits the model's ability to learn well.Step 2: Identify realistic cause of no improvement
Limited data causes stagnation in accuracy despite more training.Final Answer:
The training data is too small or not diverse enough -> Option CQuick Check:
Small data = Poor training progress [OK]
Quick Trick: More and diverse data improves training [OK]
Common Mistakes:
MISTAKES- Thinking perfect learning needs no improvement
- Blaming computer speed
- Assuming model ignores data on purpose
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