Understanding Parametric Recall – AI Response Measurement

The fraction of AI responses to a standardized category query set that are generated from training weights rather than real-time retrieval – measured as the CPQ ratio between web-disabled and web-enabled conditions. A high parametric recall ratio indicates deep encoding in model parameters; a low ratio indicates RAG dependency. Within the AI entity authority context, distinct from the general ML concept of parametric recall in knowledge retrieval benchmarks.