AI Self Reflection :
AI self reflection refers to the process where artificial intelligence systems assess their own performance and decision-making processes. By analyzing outcomes, errors, and patterns, AI can optimize its algorithms and improve accuracy. This concept involves AI systems not just executing tasks but also engaging in a form of introspection to enhance their efficiency and adaptability. It’s a step towards creating more autonomous and self-improving systems that can better align with human expectations and needs.
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