AI Terms Glossary
8 quality-checked concepts spanning machine learning, foundation models, agents and AI safety—with clear English explanations.
R
Recall
metric measuring how much actual positive samples are located correctly by the model.
Recommendation System
The system recommends products or contents that may be interested in user behaviour.
Recurrent Neural Network / RNN
The type of nervous network that carries the knowledge of the previous steps to capture dependency in the sequence data.
Red Team g
Intently testing a AI system’s security open and unwanted behavior.
Regularization
The techniques that add additional constraints to the lost function to avoid excessive learning of the model.
Search g
The method that a agent learns optimal behavior through experimenting with the reward-ceza mechanism.
Reinforcement Learning from Human RLHF
The method of training that model is rewarded by human preferences.
Retrieval-Augmented Generation / RAG
The method that checks and binds the data about an external source of information when producing the model.