Uploaded June 2025 | Updated September 2026, 2 weeks ago
🛡️ Hands-On Demo: Building AI Guardrails with NVIDIA NeMo
In this video, we take you through a practical, hands-on demonstration of how to build programmable AI guardrails using NVIDIA NeMo Guardrails — an open-source toolkit to enhance the safety, security, and reliability of LLM-powered applications.
👨💻 What’s inside this session:
Quick overview of NVIDIA NeMo Guardrails and its features (topical safety, content safety, jailbreak prevention)
Understanding the folder structure, configuration files (config.yml, prompts, rails.co), and how to define custom prompts and flows
Live coding demonstration of implementing input/output guardrails
How to customize refusal messages and prompts for your specific use case
Testing real examples:
Blocking harmful or off-topic requests
Handling jailbreak attempts
Best practices for configuring and deploying guardrails with real-world examples
Further learning resources to help you dive deeper into AI safety and guardrail design
💻 Code Repository: The complete code shown in this demo will be available on my GitHub (link shared after the webinar).
✅ Perfect for developers, AI enthusiasts, and anyone looking to build responsible, aligned AI applications.
🔔 Subscribe for more tutorials on LLMs, generative AI, and real-world AI implementation strategies.
🛡️ Hands-On Demo: Building AI Guardrails with NVIDIA NeMo
In this video, we take you through a practical, hands-on demonstration of how to build programmable AI guardrails using NVIDIA NeMo Guardrails — an open-source toolkit to enhance the safety, security, and reliability of LLM-powered applications.
👨💻 What’s inside this session:
Quick overview of NVIDIA NeMo Guardrails and its features (topical safety, content safety, jailbreak prevention)
Understanding the folder structure, configuration files (config.yml, prompts, rails.co), and how to define custom prompts and flows
Live coding demonstration of implementing input/output guardrails
How to customize refusal messages and prompts for your specific use case
Testing real examples:
Blocking harmful or off-topic requests
Handling jailbreak attempts
Best practices for configuring and deploying guardrails with real-world examples
Further learning resources to help you dive deeper into AI safety and guardrail design
💻 Code Repository: The complete code shown in this demo will be available on my GitHub (link shared after the webinar).
✅ Perfect for developers, AI enthusiasts, and anyone looking to build responsible, aligned AI applications.
🔔 Subscribe for more tutorials on LLMs, generative AI, and real-world AI implementation strategies.
