AI Terms Glossary
7 quality-checked concepts spanning machine learning, foundation models, agents and AI safety—with clear English explanations.
M
Machine Information g
All of the methods that allow systems to predict by learning the image from data without express programming.
Model Card
Standard document documenting capabilities, limitations and recommended usage areas of a model.
Model Collapse
The situation that models lose diversity and quality as a result of retraining with data made by artificial intelligence.
Model Compression
Integration of protection techniques as possible while reducing the size and calculation cost of a model.
Model Robustness
Ability to perform reliable performance in the face of a model, noisy, unexpected or intentionally manipulated inputs.
Multi-agent System
The system that multiple artificial intelligence agents work together in collaboration or competition.
Multimodal AI
Artificial intelligence system that can process different types of data such as text, visual, audio.