Why is retraining AI models important?
Retraining AI models is crucial to ensure they remain accurate and relevant as new data becomes available.
What happens if we don't retrain them?
Without retraining, models can become outdated, leading to poor performance and incorrect predictions.
How often should AI models be retrained?
The frequency of retraining depends on the application and how quickly the data changes, but regular updates are recommended.
Can retraining improve the model's performance?
Yes, retraining can significantly enhance a model's performance by incorporating new data and learning from past mistakes.
What are the challenges in retraining AI models?
Challenges include data quality, computational resources, and ensuring that the retraining process doesn't introduce bias.
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