What are the applications of quantization in AI?
Quantization in AI is used to reduce model size and improve inference speed, especially in mobile and edge devices.
Can you give me some specific examples of where quantization is applied?
Sure! It's commonly used in image recognition, natural language processing, and speech recognition models.
How does quantization affect the performance of AI models?
Quantization can lead to a slight decrease in accuracy, but it significantly enhances speed and reduces memory usage.
Are there any trade-offs I should be aware of when using quantization?
Yes, while it improves efficiency, it may introduce quantization noise, which can affect model precision.
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