Summary

Well done! You made it to the end of the workshop successfully, generating text copy, images, and exploring multi-modal capabilities leveraging the power of generative AI.

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 GPT-4, GPT-4 turbo and GPT-4o from OpenAI with the security and enterprise promise of Azure.
• Prompt engineering is a technique for "grounding" generative AI models, and can be used to influence the style of a model's output, provide factual information, and constrain unintended behavior.

Additional Resources

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

• Microsoft Learn module: Intro to Azure OpenAI Service
• Azure OpenAI Service documentation
• Azure OpenAI Service pricing
• The Transparency Note for Azure OpenAI Service provides details on the capabilities, use cases and limitations of Azure OpenAI models.
• Getting started with Azure AI Foundry and implementing the RAG pattern
• GitHub Models documentation