Azure OpenAI Resources

Introduction

Azure OpenAI is a collaboration between Microsoft Azure and OpenAI, a leading research organization in artificial intelligence. It is a cloud-based platform that enables developers and data scientists to build and deploy AI models quickly and easily. With Azure OpenAI, users can access a wide range of AI tools and technologies to create intelligent applications, including natural language processing (NLP), computer vision, and deep learning.

Azure OpenAI is designed to accelerate the development of AI applications, allowing users to focus on creating innovative solutions that deliver value to their organizations and customers.

Request Access

  • Rate Increase: Azure OpenAI Service: Request for Quota Increase (microsoft.com)
  • GPT4: GPT-4 and GPT-4-32k are now available to all Azure OpenAI Service customers. You no longer need to request access to use GPT-4 and GPT-4-32k. Availability is currently limited by region to ensure a smooth rollout. You still need to apply for the AOAI Service if you do not have that already.

Keeping Up (May 2024 Update📰)

  • Microsoft Build 2024 – Explore technical learning, community connection, and insights into cutting-edge technologies. With 200,000+ registered attendees and 300+ sessions, it’s a great opportunity to explore the latest developments in AI, data, security, and more.
Outline of all Azure AI Sessions at Build 2024 (May 21st – 23rd). Session titles that are bold have been recommended by Microsoft’s AI PG.
Title Time Speaker(s)
Azure AI Studio - Creating and scaling your custom copilots 11:30AM - 12:15PM Asha Sharma, Nabila Babar, Jithendra Veeramachaneni
Build, Evaluate and Deploy a RAG-based retail copilot with Azure AI 2:15PM - 3:15PM Nitya Narasimhan
AI Everywhere – Accelerate your development from the edge to cloud 11:30 AM - 12:15 PM Lior Kamrat
Build sophisticated custom copilots with Azure OpenAI Assistants 1:00 PM - 1:45 PM Salman Quazi, Mona Whalin
Learn how to interact with Large Language Models 1:00 PM - 2:00 PM Henk Boelman, Gustavo Cordido
Multi-model, multimodal, and multi-agent innovations in Azure AI 2:15PM - 3:00PM Marco Casalaina
Build copilot experiences with your data on Azure OpenAI Service 3:15PM - 3:30PM Pavan Li, Linda Li
Build and run intelligent apps with AKS and Azure OpenAI Service 3:30 PM - 4:30 PM Sachi Desai, Paul Yu
Operationalize AI responsibly with Azure AI Studio 3:30PM - 4:15PM Mehrnoosh Sameki
Discover, test and deploy models with ease with Azure AI model catalog 4:00PM - 4:15PM Kriti Faujdar, Shubhi Raj
Unlock the potential of foundation models with MaaS 4:45PM - 5:30PM Manoj Bableshwar, Sharmila Chockalingam
Multimodal use cases with GPT and Azure AI Vision 5:15PM - 5:30PM Adina Trufinescu, Cenyu Zhang
Build, Evaluate and Deploy a RAG-based retail copilot with Azure AI 4:45PM - 5:30PM Nitya Narasimhan
Create Generative AI experiences using Phi 11:45AM - 12:30PM Sam Kemp
Next generation AI for developers with the Microsoft Cloud 8:30 AM - 10:00 AM Scott Guthrie, Sarah Bird, Seth Juarez, Charles Lamanna
Safeguard user and AI-generated content with Azure AI Content Safety 10:15AM - 10:30AM Federico Zarfati, Ken Archer
RAG at scale: production-ready GenAI apps with Azure AI Search 10:15AM - 11:00AM Pablo Castro
Discover, test and deploy models with ease with Azure AI model catalog 10:45AM - 11:00AM Kriti Faujdar, Shubhi Raj
Integrating Azure AI and Microsoft Fabric for Next-Gen AI Solutions 1:00PM - 1:45PM Facundo Santiago, Nellie Gustafsson
Learn how to interact with Large Language Models 1:00 PM - 2:00 PM Henk Boelman, Gustavo Cordido
Revolutionizing search and retrieval with Azure AI Search 1:45PM - 2:00PM Vinod Valloppillil, Matt Gotteiner
Blow past benchmarks using vector search and RAG with Elasticsearch 2:15PM - 3:00PM Kim Bryille
Practical applications of multimodal vision AI models 2:15PM - 3:00PM Fisayo Feyisetan, Adina Trufanisco
Evaluate, monitor, and optimize LLM app performance in Azure AI Studio 3:15PM - 3:30PM Minsoo Thigpen; Alexander Hughes
Build and run intelligent apps with AKS and Azure OpenAI Service 3:30 PM - 4:30 PM Sachi Desai, Paul Yu
Optimize productivity by meeting next-level demands of the AI era 3:30PM - 4:15PM Nidhi Chappell
Safeguard your copilot with Azure AI 3:30PM - 4:15PM Suzana Ilic, Andrew Gully
Code-First LLMOps from prototype to production with GenAI tools 3:30PM - 4:15PM Cassie Breviu, Dan Taylor
Give your GenAI apps a multilingual voice with Azure AI Speech 4:45PM - 5:30PM Heiko Rahmel; Panos Periorellis
Video prompting with Azure AI Vision and GPT-4 Turbo with Vision 5:15PM - 5:30PM Joe Filcik
Bridge the chasm between your ML and app devs with Semantic Kernel 6:00 PM - 6:45 PM Matthew Bolanos, Evan Chaki, John Maeda
Build, Evaluate and Deploy a RAG-based retail copilot with Azure AI 3:00PM - 4:00PM Nitya Narasimhan
Generative AI from your local machine to Azure with LangChain 8:45AM - 9:00AM Arun Sekhar, Natalia Venditto
Learn how to interact with Large Language Models 9:45 AM - 10:45 AM Henk Boelman, Gustavo Cordido
Bring your copilots to life with a customized visual identity 11:00AM - 11:15AM Qinying Liao; Binggong Ding
Revamping the Document Automation Workflow with Generative AI 11:00AM - 11:45AM Vinod Kurpad
End-to-End AI Development: A Practical Approach 11:00AM - 11:45AM Seth Juarez
Power your AI Transformation with Microsoft Learn 11:30AM - 11:45AM Julie-Anne Arsenault, Sandra Marin
Build and run intelligent apps with AKS and Azure OpenAI Service 12:30 PM - 1:30 PM Sachi Desai, Paul Yu
Advanced RAG with Azure AI Search - top questions answered 12:30PM - 1:15PM Vinod Valloppillil
Build AI faster with task-optimized language models in Azure AI 1:00PM - 1:15PM Xiaoying Guo; Rena Liu
Revolutionizing search and retrieval with Azure AI Search 2:00PM - 2:15PM Vinod Valloppillil, Matt Gotteiner
Practicalities of Fine-Tuning Llama 2 with AI Studio 3:00PM - 3:45PM Cedric Vidal; Bala Venkataraman
Transforming the future of startups with Microsoft AI 4:15PM - 5:00PM Annie Pearl, Lahini

Please visit our Academy page to see Code Snippets & Architecture Examples: AI & ML Academy.

Fundamentals

Evaluating models:

Responsible AI:

AI Business Material:

Tooling:

  • The Azure OpenAI benchmarking tool helps you test and measure the performance of your provisioned throughput deployments. These deployments give you a fixed amount of model compute, but the actual performance depends on factors like prompt size, generation size, and call rate. The tool sends test traffic to your deployment and shows you the throughput, latency, and utilization statistics. You can use it to try different traffic patterns and find the best settings for your prompt size, generation size, and PTUs.

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Past Events

Demos & Code Samples

Community Resources

Interesting Reads

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