What are the common challenges in AI training?
An example of an AI chatbot conversation about common challenges in AI training.
What are the common challenges in AI training?
Some common challenges include data quality, overfitting, and computational resource limitations.
Can you explain what overfitting means?
Overfitting occurs when a model learns the training data too well, including noise, which reduces its performance on new data.
How can we prevent overfitting during training?
Techniques like cross-validation, regularization, and using more training data can help prevent overfitting.
What role does data quality play in AI training?
Data quality is crucial; poor quality data can lead to inaccurate models and unreliable predictions.
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