Learning from mistakes is a key concept in machine learning, where models are trained to improve their performance by analyzing their errors. This can be done through a variety of techniques, such as backpropagation, reinforcement learning, and self-correction.
A core concept in machine learning and AI.
A fundamental part of how AI systems learn and improve.