Implement Guardrails System
Build production guardrails for AI safety including input validation, prompt injection detection, and output filtering.
Lab Overview
🛠Lab from the AI Platform Engineering Bootcamp. Used in Week 7. Bootcamp landing page: https://academy.tekanaid.com/bootcamps/ai-platform-engineering-bootcamp Parent course(s):
- Week 7: AI Observability and LLMOps (slug: ai-observability-107)
🟡 Beta bootcamp lab. Hands-on instructions, check scripts, and solve scripts are in place. Lab is part of the running Platform Assistant capstone arc that grows across all 8 weeks of the bootcamp.
This hands-on lab teaches you to build production guardrails for AI safety.
You'll learn to:
- Implement input validation guardrails for length and content
- Create prompt injection detection patterns
- Build output filtering for sensitive content
- Test guardrails against attack patterns
What You'll Learn
Implement input validation guardrails for length and content
Create prompt injection detection patterns
Build output filtering for sensitive content
Test guardrails against attack patterns
Prerequisites
Python programming fundamentals
Understanding of LLM APIs
Basic security concepts
Technologies Covered
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