Unaligned with Robert Scoble #3: AI systems monitoring with Helicone
Nov 1, 2023
Justin Storre, Founder and CEO of Helicone, shares his expertise on monitoring AI systems. He discusses the challenges developers face with traditional tools, especially in sensitive industries like therapy. Storre highlights innovations needed for performance tracking in AI applications and the rising demand for open-source solutions. He emphasizes the importance of prompt engineering skills for developers and explores the implications of user feedback for AI safety, particularly in vehicles. This insightful conversation sheds light on the evolving landscape of AI monitoring.
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Clarify Your AI Use Case
- Enterprise users must clearly identify their AI use case before starting projects.
- Building teams without defined applications often leads to ineffective AI deployments.
AI's Non-Deterministic Outputs
- AI output is non-deterministic, producing different answers to the same query.
- This unpredictability complicates testing and monitoring AI systems compared to deterministic old architecture.
Guardrails Cause Unexpected Failures
- A psychiatrist's AI system failed when discussing sensitive topics due to guardrails blocking conversation.
- This revealed new failure modes developers must monitor in AI applications.