Azure OpenAI Service documentation

Azure OpenAI Service provides access to OpenAI's models including the GPT-4o, GPT-4o mini, GPT-4, GPT-4 Turbo with Vision, GPT-3.5-Turbo, DALLE-3 and Embeddings model series with the security and enterprise capabilities of Azure.

Azure OpenAI Service

Overview

• What is Azure OpenAI?
• Models
• Quotas & limits
• Programming languages/SDKs

What's new

• What's new in Azure OpenAI?

Quickstart

• Chat completions
• Vision-enabled models
• DALL-E
• Use your data (preview)
• Whisper
• Text to speech (preview)
• Assistants

Tutorial

• Embeddings
• Fine-tuning GPT-4o mini

Azure OpenAI concepts

Concept

• Deployment Types
• Quota
• Dynamic quota
• Provisioned Throughput Units (PTU)
• Content filtering
• Prompt engineering
• Fine-tuning
• Assistants

Azure OpenAI getting started

Get started

• Migrate to OpenAI Python 1.x
• Manage models
• OpenAI versus Azure OpenAI (Python)
• Global batch
• Role-based access control (Azure RBAC)
• GPT-3.5 Turbo & GPT-4
• Vision-enabled models
• Provisioned Throughput Units (PTU)
• Network and access configuration for Azure OpenAI on your data
• Resource creation & deployment

Architecture & training

Architecture

• End-to-end chat reference architecture

Training

• Azure OpenAI training

Responsible AI

Reference

• Transparency note
• Limited access
• Code of conduct
• Data, privacy, and security
• Customer Copyright Commitment

Concept

• Asynchronous content filtering
• Red teaming large language models (LLMs)
• Safety system messages
• Abuse monitoring

Retrieval Augmented Generation (RAG) templates

Deploy

• C#
• Java
• JavaScript
• Python