What are the best practices for scaling AI systems?
To scale AI systems effectively, consider data management, model optimization, and infrastructure planning.
Can you elaborate on data management?
Sure! Data management involves ensuring data quality, accessibility, and proper labeling to train models efficiently.
What about model optimization?
Model optimization includes techniques like pruning, quantization, and using efficient algorithms to improve performance.
How important is infrastructure in this process?
Infrastructure is crucial; it should support high availability, scalability, and low latency to handle increased loads.
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