A Framework for Quantifying Reliable Intelligence Efficiency in Artificial Intelligence Systems

Abstract
Artificial intelligence has advanced rapidly through scaling of model parameters, datasets, “
“and computational resources. Scaling laws have demonstrated predictable improvements in model “
“capability; however, capability alone does not fully describe the value of an AI system deployed “
“in real-world environments.

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