Adams Bashforth method, a predictor-corrector method in numerical integration, combines two predictions to enhance accuracy. It involves predicting a value based on known data and then correcting this prediction using a weighted average of previous values and derivatives. This iterative process improves stability and reduces error accumulation, making it suitable for solving ordinary differential equations in engineering, physics, and other scientific fields.