Models Alignment

Model alignment refers to the process of ensuring consistency among multiple models within a machine learning system and aligning them with the overall objectives of the system. This process involves setting clear and consistent goals for each model, identifying and resolving inconsistencies and biases in the training data, testing and validating the accuracy of each model, and ensuring that the predictions and decisions made by the models are highly aligned with the system's objectives, thereby enhancing the overall performance and reliability of the system.