Explore Azure AI capabilities in Azure AI Studio

Note

Azure AI Studio is currently in public preview. This preview is provided without a service-level agreement, and we don't recommend it for production workloads. Certain features might not be supported or might have constrained capabilities. For more information, see Supplemental Terms of Use for Microsoft Azure Previews.

In Azure AI Studio, you can quickly try out Azure AI capabilities such as Speech and Vision. Go to the Explore page from the top navigation menu.

Azure AI foundation models

Azure AI foundation models have been pre-trained on vast amounts of data, and that can be fine-tuned for specific tasks with a relatively small amount of domain-specific data. These models serve as a starting point for custom models and accelerate the model-building process for a variety of tasks, including natural language processing, computer vision, speech, and generative AI tasks.

In this article, explore where Azure AI Studio lets you try out and integrate these capabilities into your applications.

On the Explore page, select a capability from the left menu to learn more and try it out.

Azure AI Speech provides speech to text and text to speech capabilities using a Speech resource. You can transcribe speech to text with high accuracy, produce natural-sounding text to speech voices, translate spoken audio, and use speaker recognition during conversations.

Screenshot of speech capability cards in the Azure AI Studio explore tab.

You can try the following capabilities of Azure AI Speech in AI Studio:

  • Real-time speech to text: Quickly test live transcription capabilities on your own audio without writing any code.
  • Custom Neural Voice: Use your own audio recordings to create a distinct, one-of-a-kind voice for your text to speech apps. For more information, see the Custom Neural Voice overview in the Azure AI Speech documentation. The steps to create a Custom Neural Voice are similar in Azure AI Studio and the Speech Studio.

Tip

You can also try speech to text and text to speech capabilities in the Azure AI Studio playground. For more information, see Hear and speak with chat in the playground.

Explore more Speech capabilities in the Speech Studio and the Azure AI Speech documentation.

Try more Azure AI services

Azure AI Studio provides a quick way to try out Azure AI capabilities. However, some Azure AI services are not currently available in AI Studio.

To try more Azure AI services, go to the following studio links:

You can conveniently access these links from the All Azure AI menu at the top-right corner of AI Studio.

Prompt samples

Prompt engineering is an important aspect of working with generative AI models as it allows users to have greater control, customization, and influence over the outputs. By skillfully designing prompts, users can harness the capabilities of generative AI models to generate desired content, address specific requirements, and cater to various application domains.

The prompt samples are designed to assist AI Studio users in finding and utilizing prompts for common use-cases and quickly get started. Users can explore the catalog, view available prompts, and easily open them in a playground for further customization and fine-tuning.

Note

These prompts serve as starting points to help users get started and we recommend users to tune and evaluate before using in production.

On the Explore page, select Models > Prompt catalog from the left menu to learn more and try it out.

Filter by Modalities, Industries or Tasks

You can filter the prompt samples by modalities, industries, or task to find the prompt that best suits your use-case.

  • Modalities: You can filter the prompt samples by modalities to find prompts for modalities like Completion, Chat, Image and Video.
  • Industries: You can filter the prompt samples by industries to find prompts from specific domains.
  • Tasks: The task filter allows you to filter prompts by the task they are best suited for, such as translation, question answering, or classification.

Next steps