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 collect data from various sources and demographics, and regularly review it for representation.

Can AI learn from unstructured data?

Yes, AI can learn from unstructured data, but it often requires additional processing to extract useful information.

What are some common sources of training data?

Common sources include public datasets, user-generated content, and data collected from sensors or devices.