Topic: fixed memorization capacity

Study Reveals How Much Data LLMs Actually Memorize

Large language models like GPT have a fixed memorization capacity of about 3.6 bits per parameter, storing far less raw data than previously thought and relying more on pattern recognition. Increasing training data reduces memorization likelihood, as the fixed memory capacity is distributed acros...