What is the impact of training data on AI performance?

What is the impact of training data on AI performance?

Training data significantly influences AI performance by determining how well the model learns patterns and makes predictions.

Can you explain how biased training data affects AI outcomes?

Biased training data can lead to skewed results, causing the AI to reinforce stereotypes or make unfair decisions.

How can we ensure our training data is diverse?

To ensure diversity, include data from various sources, demographics, and contexts, and regularly review and update the dataset.

What are some examples of AI failures due to poor training data?

Examples include facial recognition systems misidentifying individuals and language models generating inappropriate content.

How do we measure the quality of training data?

Quality can be measured by accuracy, relevance, diversity, and the absence of bias in the dataset.