What are the applications of AI distillation?
AI distillation is used to compress large models into smaller, efficient ones for deployment in mobile devices, enhancing performance.
Can you give me some specific examples of where it's applied?
Sure! It's used in natural language processing for chatbots, image recognition in mobile apps, and even in autonomous vehicles.
How does AI distillation improve model performance?
It reduces the model size while maintaining accuracy, allowing for faster inference and lower resource consumption.
Are there any limitations to AI distillation?
Yes, some limitations include potential loss of accuracy and the need for careful tuning to ensure the distilled model performs well.
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