Stop AI Agent Hallucinations: 5 Techniques + Production Patterns - Elizabeth Fuentes, AWS

Summary

This transcript discusses five code-based techniques to mitigate AI agent hallucinations, focusing on reducing token waste and improving accuracy beyond prompt engineering. Key methods include semantic tool selection, graph RAG, multi-agent validation, and neuro-symbolic/runtime guardians implemented in Python. The practical takeaway is to implement these code changes within your AI agent framework, like Strands, to ensure more reliable and verifiable responses, avoiding costly "hallucinations" and improving function.