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AI Glossary: Terms, Definitions, and Concepts Explained

Insights, News & Updates
masked-language-modeling

Masked Language Modeling: Definition and How It Works

Masked Language Modeling (MLM) is a technique where parts of text data, typically individual words or tokens, are intentionally hidden or replaced with special symbols (such as [MASK]).
Memory Compression scaled

Memory Compression in AI: Definition and How It Works

Memory Compression refers to the systematic process by which an agentic AI system condenses, abstracts, and restructures large volumes of historical data, interactions, and experiences into compact, high-value representations that can be efficiently stored, retrieved, and reasoned over.
Memory Consolidation Process

Memory Consolidation Process

Memory Embedding Index

Memory Embedding Index

Memory Eviction Policy

Memory Eviction Policy

Memory Retrieval Strategy scaled

Memory Retrieval Strategy: Definition and Best Practices

A Memory Retrieval Strategy in agentic AI refers to the systematic approach an autonomous agent uses to identify, select, and retrieve relevant information from its memory systems—such as short-term, long-term, episodic, semantic, or procedural memory—at the right time and in the right form to support reasoning, planning, and decision-making.
Meta-reasoning-module

Meta-Reasoning Module: Definition and How It Works in AI

MLOps (Machine Learning Operations)

MLOps: Machine Learning Operations Definition and Guide

MLOps, short for Machine Learning Operations, refers to streamlining the deployment, monitoring, management, and governance of machine learning (ML) models in production.
Model Deployment

Model Deployment: Definition, Examples, and Best Practices

Model deployment refers to the process of integrating a trained machine learning (ML).