What is automated tuning in AI?
Automated tuning refers to the process of automatically adjusting the parameters of AI models to optimize their performance.
Can you give me an example of how it works?
Sure! For instance, in machine learning, automated tuning can adjust hyperparameters like learning rate or batch size using techniques like grid search or Bayesian optimization.
What are the benefits of using automated tuning?
The benefits include improved model accuracy, reduced manual effort, and the ability to explore a wider range of parameter settings efficiently.
Are there any tools available for automated tuning?
Yes, popular tools include Optuna, Hyperopt, and Google Cloud's AutoML, which facilitate automated hyperparameter tuning.
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