What data do I need to train an AI model?
To train an AI model, you'll need a large dataset relevant to the task, including labeled examples.
What types of data are best for training?
The best types of data depend on the application, but structured data, images, and text are commonly used.
How much data is enough for training?
It varies by model and task, but generally, more data leads to better performance. Thousands to millions of samples are common.
Can I use synthetic data for training?
Yes, synthetic data can be useful, especially when real data is scarce or difficult to obtain.
What if my data is biased?
Bias in data can lead to biased models. It's important to analyze and mitigate bias during data collection and preprocessing.
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