A self-improving AI continuously refines its own algorithms and performance through iterative learning, often using techniques like reinforcement learning. It is used to automate complex tasks, such as optimizing logistics or enhancing chatbots, without constant human input. Businesses, researchers, and end-users benefit from faster, more accurate systems that adapt to new challenges over time.
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