Summary

Learn how to interact with OpenAI models

We hope that in the last hour, you've learned what natural language generative AI models are and how they work and understand the power of prompt-engineering.

Some key points to remember

• Generative AI models can generate human like text, images, and code
• Generative AI models are stateless: they do not learn, and are constrained by their training data which is frozen at a fixed point in time
• Azure OpenAI Service is a managed service that provides access to state-of-the-art natural language generative AI models, including ChatGPT and GPT-4 from OpenAI with the security and enterprise promise of Azure.
• Azure OpenAI Service provides a simple REST API for accessing these models
• Prompt engineering is a technique for "grounding" generative AI models, and can be used to influence the style of their output, provide factual information, and constrain their behavior.

Additional Resources

Here are a few resources to help you take that next step in signing up and learning more about Azure OpenAI Service:

• Apply for access to Azure Open AI Service with a use case
• Microsoft Learn module: Intro to Azure OpenAI Service
• Azure OpenAI Service documentation
• Azure OpenAI Service pricing
• Azure AI Hub, a curated collection with examples and applications of Azure OpenAI Serviice
• The Transparency Note for Azure OpenAI Service provides details on the capabilities, use cases and limitations of Azure OpenAI models.

Further reading

We didn't cover these topics in this short session, but here are some related topics of interest:

• Revolutionize your Enterprise Data with ChatGPT, an architecture for "chatting with your own data".
• Tutorial: Explore Azure OpenAI Service embeddings and document search

Next Steps

That's it for this workshop! But if you still have some time to spare, and have access to Bing Chat, we've provided some things to try in the next section.