How does training data affect AI performance?
Training data is crucial as it directly influences how well an AI model learns and performs tasks.
Can you give an example of good vs. bad training data?
Sure! Good training data is diverse and representative, while bad data may be biased or too narrow.
What happens if an AI is trained on biased data?
If trained on biased data, the AI may produce biased outcomes, leading to unfair or inaccurate results.
How can we improve training data quality?
Improving training data quality involves curating diverse datasets, removing biases, and continuously updating the data.
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