Azure OpenAI Services Platform
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, 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):
- 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
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.