AI Glossary: Terms, Definitions, and Concepts Explained

Insights, News & Updates

Model Distillation: Definition, Examples, and Use Cases

Model distillation is a machine learning technique in which a smaller, simpler model (referred to as the student model) learns to mimic the behavior of a larger, more complex model (referred to as the teacher model).

Model Hallucination: Definition, Causes, and Prevention

Model hallucination happens when a machine learning model generates information that is not based on the actual input data. Instead, the model creates or imagines details that are not present in the real dataset.

Model Monitoring: Definition, Examples, and Best Practices

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

Model Training in AI: Definition and How It Works in ML

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

Modular Agent Architecture: Definition and Real Examples

Multi-Agent System: Definition, Examples, and Use Cases

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: Definition, Examples, and How It Works

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

Multi-Tenancy: Definition, Examples, and Architecture Guide

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

Multi-Turn Conversation: Definition and Real Examples

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