Self-Correction and Retrospection: The Art of Learning from Mistakes in Intelligent Systems
Imagine a mountain climber scaling a cliff. Each slip of the hand, every misjudged foothold, teaches them something new — about grip, about gravity, about themselves. Over time, those near-falls become silent instructors, shaping their instincts for the next ascent. In much the same way, intelligent systems learn not just from success, but from reflection
