- Learn how to choose and configure generative AI guardrails in Azure AI Foundry.
By the end of this module, you'll be able to:
- Configure filters and threshold levels to block harmful content.
- Perform text and image moderation for harmful content.
- Tune thresholds by analyzing the Precision, Recall, and F1 score metrics.
- Detect groundedness in a model's output.
- Mitigate direct and indirect prompt injections.
- Export starter code that reflects your filter configurations.
- Learn how to implement generative AI guardrails with Azure AI Content Safety.
By the end of this module, you're able to:
- Perform text and image moderation for harmful content.
- Detect groundedness in a model's output.
- Identify AI-generated text that matches known protected text.
- Detect direct and indirect prompt attacks with Prompt Shields.
- Learn how to measure and mitigate risks for a generative AI app leveraging responsible AI tools and features within Azure AI Foundry.
By the end of this module, you're able to:
- Choose and deploy a model from the model catalog
- Upload data and create a vector index
- Set up and refine a system message
- Create and apply a content filter
- Run a manual evaluation
- Run and compare automated evaluations
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Syllabus
- Implement generative AI guardrails in Azure AI Foundry
- Introduction
- Azure AI Content Safety
- Preparation
- Harm categories and severity levels
- Exercise - Text guardrails
- Exercise - Image guardrails
- Exercise - Groundedness detection
- Exercise - Prompt shields
- Exercise - Integrate with the Contoso Camping Store platform
- Module assessment
- Summary
- Implement generative AI guardrails with Azure AI Content Safety
- Introduction
- Azure AI Content Safety
- Prepare
- Harm categories and severity levels
- Exercise - Text guardrails
- Exercise - Image guardrails
- Exercise - Groundedness detection
- Exercise - Prompt Shields
- Exercise - Integrate with the Contoso Camping Store platform
- Module assessment
- Summary
- Measure and mitigate risks for a generative AI app in Azure AI Foundry
- Introduction
- Prepare
- Choose and deploy a model
- Upload data and create an index
- Create a system message
- Create a content filter
- Run a manual evaluation
- Run and compare automated evaluations
- Module assessment
- Summary