Customizing generative AI guardrails with Azure AI Content Safety
Customization is highly important for guaranteeing responsible and effective use when building generative AI applications. Did you know that you can create custom guardrails to help reduce risk and better align your apps with your specific use cases and responsible AI policies?
Learn more about how you can customize content safety, modify your content filters by adding terms to the blocklist, or by adjusting the severity tolerance thresholds for each content category at aka.ms/contentsafety. You will also learn how to create content filters tailored to your specific use cases or industry, and how to create custom filters,
Customization is highly important for guaranteeing responsible and effective use when building generative AI applications. Did you know that you can create custom guardrails to help reduce risk and better align your apps with your specific use cases and responsible AI policies?
Learn more about how you can customize content safety, modify your content filters by adding terms to the blocklist, or by adjusting the severity tolerance thresholds for each content category at aka.ms/contentsafety. You will also learn how to create content filters tailored to your specific use cases or industry, and how to create custom filters, Read More