What is the importance of training data quality in AI?

What is the importance of training data quality in AI?

Training data quality is crucial because it directly impacts the performance and accuracy of AI models. High-quality data leads to better predictions.

Can you explain what constitutes high-quality training data?

High-quality training data is accurate, relevant, diverse, and representative of the problem space. It should also be free from biases.

How can poor training data affect an AI model?

Poor training data can lead to inaccurate predictions, biased outcomes, and a lack of generalization, ultimately failing to meet user needs.

What are some methods to improve training data quality?

Methods include data cleaning, augmentation, ensuring diversity, and continuous monitoring of data quality throughout the model's lifecycle.