Enhance AI applications by integrating robust validation and error correction techniques. These methods help improve the accuracy and reliability of AI outputs by identifying and addressing errors during processing. Implementing effective validation ensures that data and results meet specified standards, while error correction minimizes the impact of inaccuracies. Together, they contribute to more consistent and trustworthy AI performance.