How can I improve the performance of my AI model?
You can improve your AI model's performance by tuning hyperparameters, using more data, or trying different algorithms.
What are hyperparameters, and how do I tune them?
Hyperparameters are settings that govern the training process. You can tune them using techniques like grid search or random search.
Can you give me an example of a hyperparameter I should tune?
Sure! A common hyperparameter to tune is the learning rate, which controls how much to change the model in response to the estimated error.
How do I know if my model is overfitting?
You can check for overfitting by comparing the performance on training and validation datasets. If the training accuracy is high but validation accuracy is low, it may be overfitting.
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