The article discusses ways to improve models used in finance by focusing on local volatility. The researchers explore methods to solve problems like creating accurate local volatility functions and quickly calibrating them. They also look at extending the local volatility concept beyond the Black-Scholes model. Recent advancements in deep learning and artificial neural networks are considered for improving financial models.