Instruction 01

Heads up... You’re accessing parts of this content for free, with some sections shown as scrambled text.

Heads up... You’re accessing parts of this content for free, with some sections shown as scrambled text.

Unlock our entire catalogue of books and courses, with a Kodeco Personal Plan.

Unlock now

Understanding of Azure OpenAI

Azure OpenAI is one of the many services available on the Azure portal. It offers numerous resources from OpenAI, including GPT-4, GPT-3, DALL-E, Codex, and Whisper. However, they’re not necessarily the same in that Azure OpenAI has customized them to fit Microsoft’s policies.

Exploring Azure OpenAI Features

You’ve already learned about content filtering on top of OpenAI for Azure OpenAI — but that’s not all! Azure OpenAI also offers completions.

Limitations of Azure OpenAI

OpenAI remains one of the major AI service providers (although others are available, of course!), so it isn’t surprising that Microsoft teamed up to provide Azure OpenAI. They have established, advanced, and highly capable models for text, audio, video, images, and many more. When you create an Azure OpenAI resource, you can easily deploy models based on any of OpenAI’s popular supported models, or even bring in your own, non-OpenAI-based model.

Understanding RAGs with Azure OpenAI

As you’ll know by now, Retrieval-Augmented Generation (RAG) is a technique that combines data retrieval from AI models with information from custom data to enhance responses with highly relevant information.

See forum comments
Download course materials from Github
Previous: Introduction Next: Demo