How is training data used in AI development?
Training data is essential for teaching AI models to recognize patterns and make predictions based on input.
What types of data are typically used for training?
Common types include text, images, audio, and structured data, depending on the AI application.
How do you ensure the quality of training data?
Quality is ensured through data cleaning, validation, and using diverse datasets to avoid bias.
Can AI learn from unstructured data?
Yes, AI can learn from unstructured data, but it often requires additional processing to extract useful features.
What are the ethical considerations in using training data?
Ethical considerations include data privacy, consent, and avoiding bias to ensure fair AI outcomes.
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