1 min read
Implementing Guardrails for Production LLM Applications
LLMs can generate harmful content, leak sensitive information, or be manipulated through prompt injection. A layered defense approach protects users and…
Content Safety
6 articles
1 min read
Responsible AI: Content Safety Filters for LLM Applications
Content safety is non-negotiable for production AI applications. Implement multiple layers of filtering for both inputs and outputs to protect users and…
1 min read
Azure AI Content Safety: Comprehensive Content Moderation
Implementing Azure AI Content Safety for robust content moderation in AI applications.
1 min read
Responsible AI Improvements in Azure: Building Trustworthy AI Systems
Responsible AI is not optional - it is essential for building AI systems that users and organizations can trust. Tomorrow, I will cover the Azure Content…
1 min read
Azure Content Safety: Protecting AI Applications from Harmful Content
1. Set appropriate thresholds : Adjust based on your use case 2. Use blocklists : For domain specific terms 3. Check both input and output : For AI…
1 min read
Content Filtering in Azure OpenAI: Implementing Safety Guardrails
Each category has severity levels: safe, low, medium, high.