Human-in-the-loop
Humans-in-the-Loop (HITL) is an approach in AI development that involves human oversight and control over the machine learning process. HITL is typically used to validate and refine machine learning models and to handle exceptions and edge cases that may be difficult for the AI system to handle on its own.
In HITL, humans are an integral part of the system, monitoring and supervising the AI, providing feedback, and making decisions based on the AI's outputs.
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