Hi all, welcome back to my channel. In today’s session, we’ll take a first look at Azure Open AI service and explore some of its features and models. We’ll also discuss how to train custom models with our own data.
To access the Azure Open AI service, you need to apply for access using the provided link. Once you have access, you can create an Azure Open AI service in the Azure portal. From there, navigate to Azure Open AI Studio, where you can find detailed information about the service.
In Azure Open AI Studio, you can create deployments for different models. You can choose from pre-built models or create your own custom model and fine-tune it with your own data. You can also upload data sets for fine-tuning and manage quotas and content filters.
The playground in Azure Open AI Studio allows you to experiment with different models and their capabilities. You can convert text into images, generate text, and classify text. The completion option allows you to generate text based on the selected model.
The chat section in Azure Open AI Studio enables you to interact with a chatbot. You can set up the chatbot’s behavior and ask questions. You can also train the chatbot with custom data to get more accurate responses.
Overall, Azure Open AI service provides a wide range of features and models for various AI tasks. It offers a user-friendly interface in Azure Open AI Studio to explore and utilize these capabilities. I hope this session was helpful, and stay tuned for more videos on generative AI in the future.
