Computational Resources: AI models require significant computational resources, including processing power, memory, and storage. As models grow in size, they will require more powerful hardware and specialized infrastructure to run efficiently.
Energy Consumption: As AI systems scale, their energy consumption will increase, posing environmental and economic concerns. This will drive the development of more energy-efficient AI algorithms and hardware.
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