Azure OpenAI Service is a result of the partnership between Microsoft and OpenAI combining Azure's enterprise-grade capabilities with OpenAI's generative AI model capabilities and consists of four components:
- Pre-trained generative AI models
- Customization capabilities; the ability to fine-tune AI models with your own data
- Built-in tools to detect and mitigate harmful use cases so users can implement AI responsibly
- Enterprise-grade security with role-based access control (RBAC) and private networks
- Chat: This service allows developers to build conversational agents that can engage in multi-turn conversations with users. It uses the GPT-4 and GPT-35-Turbo models and provides a simple text-in, text-out interface. You can use the Azure OpenAI Studio’s Chat Playground to experiment with this service.
- Completion: The completion endpoint is a core component of the Azure OpenAI Service. It provides a simple yet powerful text-in, text-out interface to any Azure OpenAI model. You input some text as a prompt, and the model generates a completion that attempts to match your context or pattern.
- Codex: Codex is a descendant of the GPT-3 series that’s been trained on both natural language and billions of lines of code. It’s proficient in over a dozen languages including Python, C#, JavaScript, Go, Perl, PHP, Ruby, Swift, TypeScript, SQL, and Shell. Codex can be used for a variety of tasks including turning comments into code, completing your next line or function in context, finding useful libraries or API calls for an application, adding comments to code, and rewriting code for efficiency.
- DALL-E: DALL-E is an advanced AI model that generates images from textual descriptions. It does not edit existing images or create variations. You can use the DALL-E playground in Azure OpenAI Studio to experiment with this service.
Azure OpenAI Studio is a no-code approach to explore Azure OpenAI capabilities. You can use your own data with Azure OpenAI models, providing you with a powerful conversational AI platform. You can also generate images with Azure OpenAI in your browser.
Azure OpenAI Playgrounds are interactive environments where you can explore Azure AI capabilities. Here are some of the playgrounds available:
- Chat Playground: Designed for interactive, multi-turn conversations with the model. It’s a more straightforward text-based interface for generating natural language responses to user queries. It’s ideal for simulating a back-and-forth conversation with the AI.
- Completion Playground: Designed for single-turn tasks. You input some text as a prompt, and the model generates a completion that attempts to match your context or pattern. It’s a simple text box where you enter a prompt to generate a completion. It’s ideal for generating a piece of text based on a given prompt.
- DALL·E Playground (Preview): This is also part of Azure OpenAI Studio where you can explore image generation capabilities.
OpenAI provides a REST API and several SDKs to interact with its AI models. Here are some details:
- REST API: The OpenAI REST API allows you to interact with the API through HTTP requests from any language1. All API requests should include your API key in an Authorization HTTP header1. You can make requests to various endpoints like completions, embeddings, and chat completions.
- SDKs: OpenAI provides official Python bindings and a Node.js library for its API1. There are also community-maintained libraries and client libraries for other languages like JavaScript, C++, and .NET.
Microsoft Copilot refers to Microsoft's AI companion that will span across all of Microsoft's applications and experiences, including Microsoft 365, Windows 11, Edge, and Bing. With Copilot, users will be able to get AI assistance in virtually every aspect of their workflows on the different Microsoft applications.?
- The availability of LLMs has led to the emergence of a new software application, often referred to as a copilot.
- Copilots are often integrated into other applications and provide a way for users to get help with common tasks from a generative AI model.
- Copilots are based on a common architecture, so developers can build custom copilots for various business-specific applications and services.
Azure OpenAI provides a variety of services and tools that can be used in numerous ways to solve complex business problems.
Document processing and summarization
Contact Center Analytics using Speech API amp; OpenAI
Q&A over Enterprise Data Sources
