Question 1

What's the difference between Azure OpenAI Service and using OpenAI directly?

Accepted Answer

Azure OpenAI Service gives you the same OpenAI models, but hosted inside your own Azure tenant with Microsoft's enterprise security, compliance, and data residency controls — rather than a third-party API outside your infrastructure.

Question 2

What is RAG and why does it matter for our use case?

Accepted Answer

Retrieval-Augmented Generation grounds the model's answers in your own documents and data at query time, instead of relying only on what the model learned during training — which significantly reduces incorrect or made-up answers for business-specific questions.

Question 3

Can we fine-tune a model on our own data?

Accepted Answer

Yes. Azure OpenAI Service supports fine-tuning select models on your own data, alongside prompt engineering approaches, depending on your accuracy needs and how much labeled data you have available.

Question 4

How do you handle responsible AI and content safety?

Accepted Answer

Azure OpenAI Service includes built-in content filtering, and we configure responsible AI controls appropriate to your use case and industry on top of that.

Question 5

We have a lot of internal documents — can Azure OpenAI search across them?

Accepted Answer

Yes. We build enterprise search and chat experiences using RAG, where the model retrieves relevant passages from your document store before generating an answer — so it can accurately search across your existing knowledge base.

Magebytes

Azure OpenAI Service Development Services

Microsoft & AI Capabilities We Work With

Microsoft Copilot Studio