What is Human-in-the-Loop?

Skill Level:

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

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…
Synthetic Data is artificially generated data that mimics real-world data. Synthetic data can be used to train Machine Learning models when real data is…
Expert Systems are AI systems that emulate human expertise in specific domains. By capturing and codifying human knowledge, Expert Systems assist businesses in decision-making,…
Evolutionary Computation is a branch of AI inspired by biological evolution and natural selection. It involves using algorithms to mimic evolutionary processes such as…