Advanced Guardrails for AI Agents - Full Tutorial

Overview

Learn to build advanced AI guardrails using hybrid vector space for production-ready AI systems, focusing on chatbot use-cases with specific brand, topic, or behavioral constraints.

Syllabus

• Introduction to AI Guardrails
Overview of AI systems and need for guardrails
Introduction to hybrid vector space in AI
• Understanding Hybrid Vector Spaces
Basics of vector space models
Combining symbolic and vector-based methods
Applications in AI guardrails
• Designing Guardrails for AI Agents
Principles of effective guardrails
Identifying constraints: brand, topic, and behavior
• Building Chatbot Guardrails
Specific use-cases for chatbots
Developing brand-specific constraints
Topic-based guardrails in natural language processing
Implementing behavioral constraints
• Tools and Techniques for Guardrails Implementation
Popular tools and libraries
Integrating guardrails with existing systems
Monitoring and testing guardrails effectiveness
• Case Studies and Applications
Real-world examples of guardrail implementations
Lessons learned from brand-specific deployments
• Challenges and Future Directions
Limitations of current guardrail techniques
Innovations in hybrid vector space for evolving AI needs
• Capstone Project
Designing and implementing guardrails for a sample AI chatbot
Presentation and feedback analysis
• Review and Conclusion
Recap of key concepts and skills
Future learning paths and resources for continued education

Subjects

Computer Science