AI + Azure Glossary

Practical definitions and helpful links across models, Azure services and architectural patterns.

Resources pillar · Quick links: AI‑900 · AI‑102 · DP‑100 · DP‑900

LLM (Large Language Model)

Large language model used for generation, summarization, translation and Q&A.

Models Language

Embedding

Dense vectors to represent text/images and enable semantic similarity.

Search Azure ML

RAG (Retrieval Augmented Generation)

Pattern combining document retrieval + generation to provide up‑to‑date, contextual, citable answers.

Pattern AI Integration

Azure OpenAI Service

Access to generative models (GPT, embeddings, vision) with Azure’s security, networking and compliance.

Services Cognitive Services

Azure Cognitive Services

Pre‑trained APIs for Vision, Language, Speech and Decision.

Services Overview

Azure Machine Learning

MLOps platform for datasets, features, training, deployment and model monitoring.

Platforms Azure ML

Vector (ANN) indexes enabling semantic search and recommendation via similarity.

Search AI Integration

Fine‑tuning

Adapt a model to a domain or style through controlled additional training.

Models AI‑102 Guide

RLHF

Align models with human feedback and reinforcement to improve quality and safety.

Ethics Decisions

Responsible AI

Principles, processes and tooling to ensure fairness, transparency, privacy and safety.

Governance AI Integration

Next steps

Talk to an instructor Study plan AI‑900 checklist