2023年7月24日 · In this article, we delve into the synergy of Azure Landing Zones and Azure OpenAI Service, building a secure and scalable AI environment. unpacking the Azure OpenAI Landing Zone architecture, which integrates numerous Azure services for optimal AI workloads.

This article provides a baseline architecture for building and deploying enterprise chat applications that use Azure OpenAI Service language models. The architecture employs prompt flow to create executable flows.

2024年3月14日 · Azure OpenAI Service provides REST API access to OpenAI large language models (LLMs), adding Azure networking and security capabilities. This article provides architectural recommendations to help you make informed decisions when you use Azure OpenAI as part of your workload's architecture.

Azure OpenAI is a managed service that provides REST API access to Azure OpenAI language models, including the GPT-4, GPT-3.5 Turbo, and embedding models.

2023年11月13日 · A comprehensive overview of the most frequently used and discussed architecture patterns among our customers in various domains. 1) AOAI with Azure Frontdoor for loadbalancing. Use Azure Front Door for cross region global load balancing of requests across multiple Azure OpenAI endpoints.

2024年5月22日 · Azure OpenAI Chat Baseline Architecture serves as a roadmap to navigate these challenges effectively: Guided Deployment: Assisting teams in understanding the necessary steps for architecting resilient and agile AI systems. Scalability and Governance: Offering a framework for growth that rigorously meets compliance requirements.

In the below sections, we will discuss the architecture and design, and security and compliance considerations of the Enterprise Azure OpenAI Hub, and go into the details of - well, the things that actually do matter for Enterprise organizations and their AI initiatives on Azure.

This repository supports the Baseline OpenAI end-to-end chat reference architecture on Microsoft Learn and showcases a secure environment for authoring a chat flow and two options for deploying the flow: An Azure Machine Learning managed online endpoint in …

The goal of this landing zone solution accelerator is to help you quickly set up your development and production environments for your Generative AI solution built with Azure Open AI and Azure Services. We provide deployment templates for common Gen AI solution patterns and allow you to customize based on your own scenario.

Build custom generative AI solutions with Azure OpenAI. Use cutting-edge AI models like GPT-4o, DALL·E, and the o1 series to create custom AI-powered experiences. Create with advanced models designed for complex problem-solving, reasoning, and extended conversations. They’re ideal for tasks like code generation, math, and scientific inquiries.