What is the role of data in AI?
Data is crucial in AI as it trains models, enabling them to learn patterns and make predictions.
Can you explain how data quality affects AI performance?
Absolutely! High-quality data leads to better model accuracy, while poor data can result in biased or incorrect outcomes.
What types of data are most commonly used in AI?
Common types include structured data (like databases), unstructured data (like text and images), and semi-structured data.
How do AI models handle large datasets?
AI models use techniques like batch processing and distributed computing to efficiently manage and analyze large datasets.
What are some challenges in collecting data for AI?
Challenges include data privacy concerns, data scarcity, and ensuring diversity to avoid bias in AI models.
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