What are the best practices for training an AI model?
Some best practices include using a diverse dataset, regular validation, and fine-tuning hyperparameters.
How important is data quality in the training process?
Data quality is crucial; poor quality data can lead to inaccurate models and unreliable predictions.
Can you explain the role of validation in training?
Validation helps assess the model's performance on unseen data, ensuring it generalizes well.
What techniques can I use to avoid overfitting?
Techniques include using regularization, dropout, and ensuring a balanced dataset.
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