What techniques can enhance the accuracy of AI models?

There are several techniques that can enhance the accuracy of AI models. One approach is to increase the size and diversity of the training data used to train the model, as a larger and more varied dataset can help the model better generalize to new, unseen data. Additionally, fine-tuning the hyperparameters of the model, such as learning rate, batch size, and regularization, can also improve accuracy. Utilizing techniques such as data augmentation, transfer learning, and ensembling multiple models can further enhance the performance of AI models by leveraging the strengths of different approaches. Regularly evaluating and refining the model through rigorous testing and validation can also help improve accuracy over time.
This mind map was published on 18 February 2024 and has been viewed 90 times.

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