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In the mystical land of Algorithmica, a wise old owl named Gradus teaches a young rabbit, Hoppity, the art of finding the best path using a method called Gradient Descent. Hoppity, eager to reach the carrot fields through the dense forest, learns that Gradient Descent involves taking small, informed steps in the direction that leads downhill. Guided by Gradus’s wisdom, Hoppity discovers that each step, based on feedback from his surroundings, brings him closer to his goal. This enchanting tale parallels how Gradient Descent works in machine learning, illustrating a process of iteration, adjustment, and convergence to find optimal solutions.