#generalization

Every memory system optimizes retention. Generalization is lossy compression, so a system that keeps every particular cannot abstract. The operation that fixes this is missing.

Quick Answer depth vs breadth goals for software engineers: Depth vs breadth is a tactical...

학습 데이터에서 99% 정확도, 새 데이터에서 60% — 가장 흔한 ML 함정 overfitting입니다. 모델이 데이터를 외운 자리. L1·L2·Dropout·Early Stopping 같은 정규화로 일반화하는 모델로 만드는 방법, 마케터·운영자가 알아야 할 핵심 직관.

Beyond Memorization: Building Graph AI That Truly Adapts We've all seen AI models that ace...