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What is Human-in-the-Loop?

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Human-in-the-loop refers to a collaborative approach where humans and AI systems work together to achieve optimal results. It involves combining human expertise, judgement, and intervention with AI capabilities. By incorporating human feedback, AI models can learn and adapt, ensuring accuracy, fairness, and ethical decision-making.

Other Definitions

Decision Networks

Decision networks, also known as Probabilistic Graphical Models, are a type of AI model that represents uncertain knowledge using a graph structure. Decision Networks…

Computer Vision

Computer vision is a field of AI that focuses on training machines to understand and interpret images and videos. By analysing visual data, machines…

Ethics in Artificial Intelligence

Ethics in AI focuses on the responsible and ethical use of AI technologies. Businesses must consider the fairness, transparency, accountability, and privacy implications of…

Deep Reinforcement Learning

Deep Reinforcement Learning is a subset of Machine Learning that combines Deep Learning and Reinforcement Learning. It involves training AI models to make decisions…
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