Explainable AI in Production: SHAP and LIME for Real-Time Predictions
As artificial intelligence (AI) and machine learning (ML) models become more complex, the need for Explainable AI (XAI) grows. Businesses and stakeholders demand transparency in model predictions to build trust, ensure compliance, and debug issues. Tools like SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-agnostic Explanations) are widely used to explain model predictions in real-time. In this article, we’ll explore …
As artificial intelligence (AI) and machine learning (ML) models become more complex, the need for Explainable AI (XAI) grows. Businesses and stakeholders demand transparency in model predictions to build trust, ensure compliance, and debug issues. Tools like SHAP (SHapley Additive exPlanations) and LIME (Local Interpretable Model-agnostic Explanations) are widely used to explain model predictions in real-time. In this article, we’ll explore …
