Parametric Memory

Parametric Memory represents knowledge implicitly stored within neural network weights during pre-training and fine-tuning. While offering rapid access, it remains frozen at training cutoffs, requires computationally expensive retraining to update, and is susceptible to factual hallucination without external context.