How does tuning affect AI performance?
Tuning can significantly enhance AI performance by optimizing parameters, improving accuracy, and reducing errors.
What specific parameters are usually tuned?
Common parameters include learning rate, batch size, and the number of layers in neural networks.
Can you give an example of tuning in action?
Sure! For instance, adjusting the learning rate can help a model converge faster during training.
Are there any risks associated with tuning?
Yes, over-tuning can lead to overfitting, where the model performs well on training data but poorly on unseen data.
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