Introduction
In this article, I'll delve into the Azure AI Studio platform and its functionalities. For those unfamiliar with Azure AI Studio, your all-in-one AI platform for building, evaluating and deploying generative AI solutions and custom copilots. It enables the integration of custom copilots into existing applications and assists in building virtual assistants. Let's explore its features in detail.
Azure AI Studio
Azure AI Studio is a reliable platform designed to empower developers, fostering innovation and shaping the future with AI in a safe, secure, and responsible manner. This all-encompassing platform accelerates the creation of production-ready copilots to aid in enterprise chat, content generation, data analysis, and more. Developers can explore state-of-the-art APIs and models tailored to their needs, build and test solutions using collaborative tools and responsible AI practices, deploy AI solutions for websites, applications, and other production environments, and manage these solutions with ongoing monitoring and governance.
Components of Azure AI Studio
Home Page
Visit the Home page to create or access hubs and projects, explore the model catalog, try out AI services, delve into documentation, and more.
Model Catalog
The model catalog is a repository of models available for use in your projects. You can filter these models by collection, inference task (such as summarization and chat completion), license, and other criteria.
Model Benchmarks
The model benchmarks tool allows you to compare the performance of various models on a specific task. By selecting a task, such as question answering or text generation, you can view how different models perform. Additionally, you can filter by specific models or model collections to see detailed comparisons.
Prompt Catalog
The prompt catalog is a repository of prompts for common use cases like generating text or images. You can filter the prompts by modality (such as chat, completions, image, and video), by industry (such as retail and education), and by task (such as summarization and chat completion).
Azure OpenAI
The Azure OpenAI Service provides cutting-edge AI models for coding and language tasks, allowing you to customize them to suit your specific requirements across various applications.
AI Services
From the AI Services page, you can access try-out experiences for various Azure AI services and models. For instance, you can explore Speech, Language, Vision, Document Intelligence, Content Safety, and more.
Management
From the left navigation pane on the Home page, you can access the following pages under Management.
- All hubs: Here, you can create new hubs and view a list of all the hubs you have access to in Azure AI Studio. You can filter the hubs by name, region, or resource group. For more information, see AI Studio hubs for your projects.
- Resources and keys: This page provides details about the Azure AI services (including Azure OpenAI) resources and keys available to you in Azure AI Studio. It displays the name of each Azure resource, the subscription it belongs to, the region it's in, the pricing tier, the endpoint URL, and the key needed to access the resource.
- Quota: This section offers information about your quota usage and limits for virtual machines used for computing and Azure OpenAI model deployments.
Summary
In this article, we successfully learned about the Azure AI Studio platform and its functionalities. Azure AI Studio enables developers and organizations to swiftly craft intelligent, state-of-the-art, market-ready, and ethical applications using pre-built tools and functionalities.
Looking forward to further experiments on Azure AI Studio and discovering its capabilities!
Happy Learning!