How important is the quality of training data for AI models?

How important is the quality of training data for AI models?

The quality of training data is crucial for AI models as it directly impacts their performance and accuracy.

What happens if the training data is of low quality?

Low-quality training data can lead to biased, inaccurate, or unreliable AI models, resulting in poor decision-making.

Can you give examples of low-quality data?

Examples include data that is outdated, unrepresentative, contains errors, or is biased towards a particular group.

How can we improve the quality of training data?

Improving data quality can be achieved through better data collection methods, cleaning processes, and regular updates.