12-03, 17:00–17:30 (UTC), AI/ML Track
Rapid adoption of generative AI requires ensuring your application is trustworthy. Careful experimentation and measurement are necessary for this new era of non-deterministic software. In this talk, we will take learnings from 100s of conversations across enterprise AI teams, and discuss how developers can mitigate hallucinations, better inspect their AI systems, and productionize applications with effective guardrails and evaluation checks in place.
Rapid adoption of generative AI requires ensuring your application is trustworthy. Careful experimentation and measurement are necessary for this new era of non-deterministic software. In this talk, we will take learnings from 100s of conversations across enterprise AI teams, and discuss how developers can mitigate hallucinations, better inspect their AI systems, and productionize applications with effective guardrails and evaluation checks in place.
No previous knowledge expected
Atin is the Co-Founder & CTO of Galileo - the leading enterprise GenAI evaluation intelligence platform. Prior to founding Galileo, Atin played key engineering roles in influential AI technology built at Uber and Apple.