In this video we'll learn how to build advanced AI guardrails as part of a broader protective system for production-ready AI systems. We explore the use of hybrid vector space to develop this guardrails, which can be incredibly useful for chatbot use-cases with specific brand, topic, or behavioral guardrails.
📌 Code:
https://github.com/aurelio-labs/semantic-router/blob/main/docs/examples/hybrid-chat-guardrails.ipynb
⚠️ API keys:
- OpenAI https://platform.openai.com/api-keys
- Aurelio AI https://platform.aurelio.ai/settings/api-keys
👾 Discord:
https://discord.gg/c5QtDB9RAP
Twitter: https://twitter.com/jamescalam
LinkedIn: https://www.linkedin.com/in/jamescalam/
#artificialintellegence #aiagents #coding #ai #programming
00:00 Why Guardrails
00:20 Guardrails for Agents
03:40 Sparse and Dense Vectors
08:00 Hybrid Guardrails with Python
12:29 Initializing the HybridRouter
15:01 Optimizing our Hybrid Guardrails
19:16 Testing our Hybrid Router
20:46 AI Guardrails in Context