Why is training data important for AI?

Why is training data important for AI?

Training data is crucial for AI because it helps the model learn patterns and make accurate predictions.

What happens if the training data is biased?

If the training data is biased, the AI can produce biased results, leading to unfair or inaccurate outcomes.

How do you ensure the training data is diverse?

To ensure diversity, it's important to source data from various demographics and contexts, covering a wide range of scenarios.

Can AI learn from unstructured data?

Yes, AI can learn from unstructured data, but it often requires additional processing to extract useful information.

What are some examples of training data?

Examples include images for computer vision, text for natural language processing, and historical data for predictive analytics.