- Use datasets and experiments to validate your chatbot during development
- Implement tracing and evaluation techniques to monitor performance in production
- Incorporate real-world production insights to drive continuous improvement
John Gilhuly is an AI Engineer and developer advocate at Arize AI, a leading platform for AI observability and LLM evaluation. Previously, Gilhuly held technical roles at Branch and Slingshot AI. He has an MBA from Stanford University and studied Computer Science at Duke University.
Arize gives AI teams observability and evals to understand and improve agent performance.