Why is training data important for AI models?

Why is training data important for AI models?

Training data is crucial because it helps AI models learn patterns and make accurate predictions.

What happens if the training data is biased?

If the training data is biased, the AI model may produce biased results, leading to unfair or inaccurate outcomes.

How can we ensure the training data is diverse?

To ensure diversity, we can source data from various demographics and contexts, and regularly review it for representation.

Can I use synthetic data for training?

Yes, synthetic data can be used for training, but it should be validated to ensure it accurately represents real-world scenarios.

What are some best practices for collecting training data?

Best practices include defining clear objectives, ensuring data quality, and continuously updating the dataset.