AI, DX & Security Glossary

Clear explanations of AI, DX, and technology terminology

All(142)AI Fundamentals(33)AI Agents(22)RAG & Search(13)Prompt & Reasoning(9)Security(27)Dev & Testing(12)AI for Business(19)Infrastructure(6)
Base Model (Foundation Model)
AI Fundamentals

Base Model (Foundation Model)

A base model (Foundation Model) is a general-purpose AI model pre-trained on large-scale datasets. R

Vector Database
RAG & Search

Vector Database

A vector database stores text, images, and other data as numerical vectors (embeddings) and provides

Penetration Testing
Security

Penetration Testing

Penetration testing is a security testing methodology that simulates intrusion attempts against syst

Multi-Agent System
AI Agents

Multi-Agent System

A multi-agent system is an architecture in which multiple AI agents divide roles and coordinate with

Multi-step reasoning
Prompt & Reasoning

Multi-step reasoning

Multi-step reasoning is a reasoning approach in which an LLM arrives at a final answer not through a

Predictive Maintenance
AI for Business

Predictive Maintenance

Predictive maintenance is a method that uses AI to analyze sensor data and operation logs, predictin

RAG (Retrieval-Augmented Generation)
RAG & Search

RAG (Retrieval-Augmented Generation)

RAG (Retrieval-Augmented Generation) is a technique that improves the accuracy and currency of respo

Remote Sensing
Infrastructure

Remote Sensing

Remote Sensing is a general term for technologies that measure the reflection and emission of electr

Quantization (Quantization)
AI Fundamentals

Quantization (Quantization)

An optimization technique that compresses model size by reducing parameter precision from 16-bit to

Local LLM
AI Fundamentals

Local LLM

A local LLM refers to an operational model in which a large language model is run directly on one's

142items of 12of12