You can now interact with OpenAI directly through Azure AI Studio. Learn more about Microsoft Azure AI Studio here: https://aka.ms/AdrianAI

In this video I’m going to cover Azure AI Studio, which will be useful if you’re looking to build something a bit more complex as either a beginner or professional developer at a company.

There will be 5 parts to this video:

1. What is Azure AI Studio
2. Create a model on top of Azure OpenAI
3. Import Data to a Model
4. Configure and Deploy Model
5. API use of the model for a Project

I’d also like to thank Microsoft for sponsoring this video, a lot of what we do today will be built on top of the Microsoft Azure service, so if you want to learn more, I’ll add links in the description to the project.

Azure AI Studio is the combination of tools such as Azure OpenAI, Machine Learning and other AI services like speech, vision, etc in a central place. With it:

I am able to deploy AI models for deploying and testing AI models on top of the Azure OpenAI service.
I can add custom data sources to help prompting, such as a database, file or document, or even web address.
I can define prompts to work almost like a flow chart, this prompt flow lets you create more customization for the models and how they function
I can integrated content safety filters to help mitigate problems or harm depending on the type of solution you’re building
I can combine multiple AI capabilities to produce a much more advanced generative AI solution.

00:00 Microsoft Azure AI Studio
00:44 What is Azure AI Studio
01:32 Azure AI Studio Initial Setup and Deployment
02:44 Azure AI Studio Playground
05:17 Azure AI Studio Prompt Flow
06:42 Azure AI Studio Upload files and data
11:02 Azure AI Studio API use of Azure OpenAI GPT3.5 and GPT4 Models
16:25 Additional Documentation and Resources for Azure AI Studio

#microsoft #azure #openai

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