What are the memory limits in AI systems?
Memory limits in AI systems vary based on architecture, but they can range from a few gigabytes to several terabytes.
How do these memory limits affect AI performance?
Memory limits can impact the model's ability to process large datasets, affecting training speed and accuracy.
Are there ways to optimize memory usage in AI models?
Yes, techniques like model pruning, quantization, and using efficient data structures can help optimize memory usage.
What happens if an AI exceeds its memory limits?
Exceeding memory limits can lead to crashes, slower performance, or the inability to process data effectively.
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