How can we optimize resource utilization in AI models?
Optimizing resource utilization in AI involves techniques like model pruning, quantization, and efficient data handling.
What is model pruning and how does it help?
Model pruning reduces the size of a neural network by removing less important weights, which can lead to faster inference and lower memory usage.
Can you explain quantization?
Quantization involves reducing the precision of the numbers used in a model, which decreases the model size and speeds up computations.
What are some best practices for data handling?
Best practices include using data augmentation, efficient data loading techniques, and ensuring data is preprocessed to minimize redundancy.
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