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 quality of training data?

We can ensure quality by using diverse datasets, validating data sources, and continuously monitoring model performance.

Can you give examples of good training data?

Good training data is representative, balanced, and relevant to the task, such as diverse images for image recognition.

What role does data preprocessing play?

Data preprocessing is essential as it cleans and transforms raw data into a suitable format for training.