MIT's MeMo framework trains a compact memory model that boosts LLM performance by up to 26.73% without retraining, with major implications for crypto AI agents.
Memory is a continually unfolding process. Initial details of an experience take shape in memory; the brain’s representation of that information then changes over time. With subsequent reactivations, ...