AI Terms Glossary
11 quality-checked concepts spanning machine learning, foundation models, agents and AI safety—with clear English explanations.
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Active Learning
Modelin is the learning strategy that the data samples that will be most useful to label.
Adversarial Attack
The method of adding small, intentional changes, as soon as a model will not be noticed with human eye.
Agentic AI
Not only answer the question of the model, but independently plan and complete multi-step tasks using the tool.
AI Agent
The presence of software that detects, decides and actions to achieve a specific goal.
AI Ethics
discipline of the development of artificial intelligence systems with fair, safe and social values.
AI Winter
The period sharply reduced due to the fact that interest and financing with artificial intelligence research is not met.
Application Programming Interface (API)
interface that allows different software to communicate with each other in a standard way.
Attention Mechanism
The mechanism that determines which parts of the input will focus more on when producing an output of the model.
Autoencoder
The nervous network that learns efficiently by compressing the input and learning to recreate again.
AutoML
Model selection, approach to automate processes such as hyperparameter adjustment.
Autonomous Vehicle
With computer vision, sensor fusion and decision algorithms, it can be diluted without human intervention.