Summary
In this module, you learned about the Azure OpenAI cloud resource, which you must have in order to use a large language model (LLM) in the cloud. You also practiced the deployment of a specific model you want to use. After a model is deployed on your cloud resource, you're able to use it.
Finally, you learned to verify your deployment by using Azure OpenAI Studio. By testing out different prompts, you not only confirmed the success of your deployment, but also explored some capabilities LLMs can perform without the need for further training.
Key takeaways from this module:
- Azure OpenAI Service is a managed service that provides access to the security and enterprise promise of Azure and state-of-the-art natural language generative AI models, including ChatGPT and GPT-4.
- The straightforward REST API provided by Azure OpenAI Service makes it easy to access these models.
Further reading
- Azure OpenAI Service access
- Intro to Azure OpenAI Service
- Course: Develop generative AI solutions with Azure OpenAI Service
- Microsoft Learn OpenAI training
- Azure OpenAI Service documentation
- Resource creation and model deployment: How to create and deploy an Azure OpenAI Service resource
- Azure OpenAI Service pricing
- Azure AI hub
- Transparency note for Azure OpenAI Service
- Azure AI Engineer Associate exam