What are the main sources of data used to train AI models?
AI models are primarily trained on data from various sources, including public datasets, proprietary databases, and user-generated content.
Can you give examples of public datasets?
Sure! Examples include ImageNet for images, Common Crawl for web data, and the UCI Machine Learning Repository for various datasets.
How do companies ensure the quality of their data?
Companies often use data cleaning techniques, validation processes, and domain expertise to ensure data quality before training.
Are there ethical concerns regarding data sources?
Yes, ethical concerns include data privacy, consent, and potential biases in the data that can affect AI outcomes.
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