As GenAI tools have become more intelligent and robust, the reliability of their output has decreased. Enter Galileo: an AI reliability platform designed for GenAI applications.

Atin Sanyal — the Co-founder and CTO of Galileo — has a background building machine learning tech at Uber and Apple. One innovative technique that sets Galileo apart is ChainPoll — their hallucination detection methodology that uses consensus scoring and prompts the LLM to outline its step-by-step reasoning process.

In this episode, hosts Aaron Fulkerson and Mark Hinkle talk to Atin about:

What evaluation agents are, and why they get smarter over time
How Galileo helps enterprises evolve their own AI quality metrics
Why data quality and confidential computing will become increasingly important to enterprises building AI systems

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Navigating AI Evaluation and Observability with Atin Sanyal