Glossary

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Auto-scaling refers to automatically adjusting the number of computing resources.
An autoencoder is a type of artificial neural network used for unsupervised learning, primarily to learn.
Automated Machine Learning (AutoML) is the process of automating the development.
Autonomous agents are software or robotic systems operating independently.
An Autonomous Reasoning Loop is a core operational pattern in agentic AI that enables an AI system to continuously reason, take actions, observe outcomes, and adapt its behavior until a goal is achieved or a defined stopping condition is reached. 
Autonomy Threshold is the predefined boundary beyond which an AI agent is permitted to act independently without human approval, intervention, or supervision.
Beam search is a decoding algorithm used in artificial intelligence and machine learning.