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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

Digital Assistants

Digital assistants, also known as Virtual Assistants or Chatbots, are AI-powered software applications that can engage in conversations and perform tasks on behalf of…

Recommender Systems

Recommender Systems are AI systems that provide personalised recommendations to users based on their preferences and previous behaviour. These systems analyse large amounts of…

Generative Adversarial Networks (GANs)

Generative Adversarial Networks are a type of Machine Learning model that consists of two neural networks: a generator and a discriminator. GANs are used…

Feature Extraction

Feature Extraction refers to the process of identifying and selecting the most relevant features from raw data to enhance AI model performance. By extracting…
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