How does training data affect AI performance?
Training data is crucial for AI as it directly influences the model's accuracy and ability to generalize.
Can you explain what happens if the training data is biased?
If the training data is biased, the AI may produce skewed results, reinforcing stereotypes or making unfair predictions.
What types of training data are most effective?
Diverse and representative training data is most effective, as it helps the AI learn from a wide range of scenarios.
How can we ensure the quality of training data?
Ensuring quality involves careful curation, validation, and continuous monitoring of the data used for training.
Are there any tools to help with training data management?
Yes, there are several tools like Labelbox, Snorkel, and Dataloop that assist in managing and annotating training data.
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