Foundry FAQs

Question 1

What are the core capabilities of Foundry?

Accepted Answer

Foundry offers robust capabilities for AI Model Management (exploring, building, deploying models), Knowledge Integration (managing Azure AI Search indexes and documents), Comprehensive Evaluation (text and agent evaluators), and Finetuning Operations (monitoring jobs and metrics).

Question 2

Is Foundry suitable for finetuning AI models?

Accepted Answer

Absolutely. Foundry simplifies finetuning operations by allowing you to monitor and manage fine-tuning jobs, retrieve job statuses, events, and metrics. It also helps in listing and managing files for finetuning within Azure OpenAI.

Question 3

Can I evaluate my AI models and agents using Foundry?

Accepted Answer

Yes, Foundry includes comprehensive evaluation tools for both text models and AI agents. You can run various evaluators on content or agent interactions, and then format the output into readable reports to assess performance effectively.

Question 4

How does Foundry support knowledge integration?

Accepted Answer

Foundry provides extensive tools for knowledge integration, allowing users to manage Azure AI Search indexes, documents, indexers, data sources, and skill sets. This enables efficient retrieval, creation, modification, and deletion of knowledge assets.

Question 5

What is Foundry?

Accepted Answer

Foundry is a Model Context Protocol (MCP) server for Azure AI Foundry. It unifies a wide range of tools for managing AI models, integrating knowledge, evaluating performance, and conducting finetuning operations within the Azure AI ecosystem.

Foundry

Foundry

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주요 기능

사용 사례