How does training data affect AI performance?

How does training data affect AI performance?

Training data is crucial as it directly influences how well an AI model learns and performs tasks.

Can you give an example of poor training data?

Sure! If an AI is trained on biased data, it may produce biased results, leading to unfair outcomes.

What types of training data are most effective?

Diverse and representative datasets are most effective, as they help the AI generalize better to real-world scenarios.

How can we improve training data quality?

Improving data quality can be achieved by cleaning the data, ensuring diversity, and continuously updating the dataset.

What are the consequences of using low-quality training data?

Using low-quality data can lead to inaccurate predictions, biased outcomes, and a lack of trust in AI systems.