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770218155 model distillation

Model Distillation

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

Model Hallucination

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

Model Monitoring

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

Model Training

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

Modular Agent Architecture

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Multi-Agent System

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

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

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

Multi-Turn Conversation

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