Add Guardrails So Your AI App Doesn't Lie — A Two-Layer Approach with NVIDIA NIM
📰 Dev.to · Torkian
Learn to add guardrails to your AI app to prevent it from lying by using a two-layer approach with NVIDIA NIM
Action Steps
- Implement prompt scope to limit the AI's response to relevant topics
- Use a tiny verifier call to check the AI's answers against retrieved context
- Configure NVIDIA NIM to refuse off-topic questions
- Test the guardrail layers to ensure they are working as expected
- Apply the two-layer approach to your existing AI app to improve its accuracy and trustworthiness
Who Needs to Know This
Developers and AI engineers can benefit from this approach to improve the reliability and trustworthiness of their AI-powered applications
Key Insight
💡 A two-layer approach with prompt scope and a tiny verifier call can help prevent AI apps from providing false information
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Add guardrails to your AI app with NVIDIA NIM to prevent lies and improve trustworthiness!
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