What is the AI model training process?
The AI model training process involves feeding data to the model, allowing it to learn patterns and make predictions.
What types of data are used for training?
Training data can include text, images, audio, or any relevant information that helps the model learn.
How long does the training process usually take?
The duration varies based on the model complexity and data size, ranging from hours to weeks.
What happens after the model is trained?
After training, the model is evaluated for accuracy and can be fine-tuned or deployed for use.
Can I retrain a model with new data?
Yes, models can be retrained with new data to improve performance or adapt to changes.
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