Azure OpenAI Services Platform
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Azure OpenAI Services Platform is a generative AI services that is a Microsoft Azure-based platform associated with OpenAI models.
- Context:
- It can (typically) be an Azure Cognitive Service.
- It can (typically) provide access to OpenAI's advanced language models, such as GPT-3, GPT-4 (GPT-4o), Codex.
- It can support Content Generation, Text Summarization, semantic search, and natural language to code translation.
- It can be accessed through REST APIs, Python SDK, or the Azure OpenAI Studio.
- It can emphasize responsible AI, implementing measures against misuse and unintended harm.
- It can process text by dividing it into tokens which can be words or chunks of characters. The total number of tokens processed in a request influences the latency and throughput of the models.
- It can require the creation of an Azure OpenAI Resource and deploy a model using the Deployment APIs.
- It can be utilized by an Azure OpenAI Service-using System.
- It can include Azure OpenAI Content Filtering.
- It can support Azure OpenAI Service REST API.
- It can be associated with Azure OpenAI Services Pricing.
- It can have a dashboard at
https://portal.azure.com/#view/Microsoft_Azure_ProjectOxford/CognitiveServicesHub/~/OpenAI. - It can have deployed instances, such as:
https://oai.azure.com/portal/35b52884f93241e6ac9a34736510042d/chat?tenantid=21e0281f-13e7-41c6-a30c-aaa2e94a73e9. - …
- Example(s):
- 2021**: Introduction of Azure OpenAI Service - Microsoft debuted the Azure OpenAI Service, providing enterprises with secure, Azure-hosted access to OpenAI models, initially through direct Azure channels:contentReference[oaicite:0]{index=0}:contentReference[oaicite:1]{index=1}.
- 2022**: CSP Integration for Azure OpenAI - Azure OpenAI became available via CSP, expanding its reach through CSP partners who manage sales, deployment, and support for enterprise clients using OpenAI models:contentReference[oaicite:2]{index=2}:contentReference[oaicite:3]{index=3}.
- 2023**: Enhanced Compliance and Security Features - Microsoft improved Azure OpenAI Service with compliance measures tailored for regulated industries, enhancing CSP offerings for sectors like healthcare and finance:contentReference[oaicite:4]{index=4}:contentReference[oaicite:5]{index=5}.
- 2024**: GPT-4 Turbo and Assistants API Preview - Microsoft introduced the advanced GPT-4 Turbo and Assistants API under Azure OpenAI Service, enabling CSP users to access enhanced functionalities and specialized AI assistants:contentReference[oaicite:6]{index=6}:contentReference[oaicite:7]{index=7}.
- ...
- …
- Counter-Example(s):
- GCP Generative AI Service.
- Azure Machine Learning.
- OpenAI Platform (accessible via OpenAI API)
- See: Codex, ChatGPT, Responsible AI, Azure AI Service API.
References
2024
- https://techcommunity.microsoft.com/t5/ai-azure-ai-services-blog/announcing-multimodal-innovations-in-generative-ai-with-azure/ba-p/4146804
- **Product Launches and Announcements:** Microsoft Build 2024 highlights significant advancements in Azure OpenAI Service, including the general availability of GPT-4o, a multimodal model integrating text, vision, and future audio capabilities, now available with global and regional deployment options.
- **Fine-Tuning for GPT-4:** The public preview for GPT-4 fine-tuning allows for unparalleled customization with training data, enhancing alignment with brand voice and specific organizational needs.
- **Preview Refresh of Assistants API:** This advancement supports creating advanced virtual assistants and chatbots capable of understanding and generating responses across text, vision, and audio.
- **Multimodal Capabilities with GPT-4 Turbo:** Introducing vision capabilities, this feature enables richer AI applications by integrating text and images, enhancing user experiences.
- **Azure AI On Your Data (OYD) and Retrieval-Augmented Generation (RAG):** These integrations facilitate building custom copilots and improve interactive solution creation.
- **Case Studies:** Examples include H&R Block's AI Tax Assist, Mercedes-Benz's MBUX Voice Assistant with Vision, TomTom's Digital Cockpit, Unity Technologies' Muse Chat, and Vodafone's TOBI Chatbot, showcasing innovative uses of Azure OpenAI Service across various industries.
- **Generative AI Hackathon Winners:** Projects like ChatEDU, GARVIS, and ModeMixer, along with honorable mentions like AI Briefing Room and FarmFundAI, demonstrate the innovative applications of Azure AI and VS Code extensions.
2023
- https://learn.microsoft.com/en-us/training/modules/explore-azure-openai/1-introduction
- QUOTE: Suppose you want to help your team understand the latest artificial intelligence (AI) innovations in the news. Your team would like to evaluate the opportunities these innovations support and understand what is done to keep AI advancements ethical.
You share with your team that today, stable AI models are regularly put into production and used commercially around the world. For example, Microsoft's existing Azure AI services have been handling the needs of businesses for many years to date. In 2022, OpenAI, an AI research company, created a chatbot known as ChatGPT and an image generation application known as DALL-E. These technologies were built with AI models which can take natural language input from a user and return a machine-created human-like response.
You share with your team that Azure OpenAI Service enables users to build enterprise-grade solutions with OpenAI models. With Azure OpenAI, users can summarize text, get code suggestions, generate images for a web site, and much more. This module dives into these capabilities.
- …
Microsoft has partnered with OpenAI to deliver on three main goals:
- To utilize Azure's infrastructure, including security, compliance, and regional availability, to help users build enterprise-grade applications.
- To deploy OpenAI AI model capabilities across Microsoft products, including and beyond Azure AI products.
- To use Azure to power all of OpenAI's workloads.
- QUOTE: Suppose you want to help your team understand the latest artificial intelligence (AI) innovations in the news. Your team would like to evaluate the opportunities these innovations support and understand what is done to keep AI advancements ethical.