What is the impact of large datasets on AI development?
Large datasets significantly enhance AI development by providing more training data, which improves model accuracy and performance.
Can you give examples of how large datasets are used in AI?
Sure! Large datasets are used in image recognition, natural language processing, and recommendation systems to train models effectively.
Are there any downsides to using large datasets?
Yes, there are downsides, such as increased computational costs, potential biases in the data, and privacy concerns.
How do researchers ensure the quality of large datasets?
Researchers ensure quality by implementing data cleaning processes, validation techniques, and continuous monitoring for accuracy.
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