What are the main challenges in training data for AI?
An example of an AI chatbot conversation about challenges in training data for AI models.
What are the main challenges in training data for AI?
The main challenges include data quality, quantity, bias, and representativeness.
Can you explain how bias in training data affects AI outcomes?
Bias can lead to unfair or inaccurate predictions, as the AI may learn from skewed data.
What strategies can be used to mitigate these challenges?
Strategies include diversifying data sources, regular audits, and using synthetic data.
How does the quantity of training data impact AI performance?
More data generally improves performance, but it must also be relevant and high-quality.
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