What is the role of data in AI training?
Data is crucial in AI training as it helps models 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 typically used for training AI?
AI can be trained on various data types, including text, images, audio, and structured data like databases.
How much data is needed to train an effective AI model?
The amount of data needed varies by application, but generally, more data leads to better performance, up to a point.
What are some common challenges in data collection for AI?
Common challenges include data privacy issues, data bias, and the difficulty of obtaining diverse and representative datasets.
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