Model Optimization

Browse all content tagged with Model Optimization

Glossary

Explainability

AI Explainability refers to the ability to understand and interpret the decisions and predictions made by artificial intelligence systems. As AI models become more complex, explainability ensures transparency, trust, regulatory compliance, bias mitigation, and model optimization through techniques like LIME and SHAP.

AI Explainability Transparency +4
• 5 min read

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