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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

Dimensionality Reduction

Dimensionality Reduction is the process of reducing the number of variables or features in a dataset while retaining its essential information. By eliminating irrelevant…

Large Language Model (LLM)

A Large Language Model refers to a type of advanced Artificial Intelligence model designed to exhibit human-like language understanding and generation abilities. LLMs are…

Decision Trees

Decision Trees are Machine Learning models that use a branching structure to make decisions or predictions. By determining the most important features and creating…

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…
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