ICML Paper: LLMs Store About 3.6 Bits of Memory Per Parameter
NVIDIAAI · x · 2026-07-07
Nvidia AI shared an ICML paper investigating how much content Large Language Models can actually remember. By distinguishing between "incidental memory" and "generalization," the study estimates the capacity of GPT-style models at roughly 3.6 bits per parameter, providing a clearer analytical framework for reasoning data scale, scaling laws, and privacy risks.
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