Shaping algorithms

Shaping algorithms are techniques used in machine learning to improve the performance of models. They work by adjusting the training process, guiding the model to focus on important patterns in the data. Think of it like teaching someone to play an instrument: instead of overwhelming them with everything at once, you start with basic notes and progressively introduce more complex pieces. Similarly, shaping algorithms help models learn step-by-step, refining their understanding and making them more effective at tasks, such as recognizing images or understanding language.