Glossary

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Model Monitoring

Model monitoring is the process of continuously observing, evaluating, and measuring machine learning models.

Model Training

Model training is the process where a machine learning (ML) algorithm learns from data.

A multi-agent system (MAS) is an AI system in which two or more autonomous agents work together to achieve a goal. Each agent has its own decision-making loop, and the overall system relies on coordination, communication, and task allocation across agents.

Multi-Modal AI

Multi-modal AI is a type of artificial intelligence that can process and combine different kinds of data.

Multi-Tenancy

Multi-tenancy is a software architecture in which a single instance of an application, database.

Multi-Turn Conversation

A multi-turn conversation refers to an extended dialogue between a human and a system.

Multimodal AI

Multimodal AI refers to artificial intelligence systems that can process and integrate multiple types of data.

Mutable Infrastructure

Mutable Infrastructure refers to an infrastructure where components—servers, networks.

Named Entity Recognition (NER)

Named Entity Recognition (NER) is a subfield of Natural Language Processing (NLP) that focuses.

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