Enhancing AI System Reliability with Trustworthiness Scores

Add to Calendar Apr 17, 2025 Apr 17, 2025 America/Los_Angeles Enhancing AI System Reliability with Trustworthiness Scores This session will cover how Cleanlab leverages Trustworthy Language Model (TLM) technology to integrate trustworthiness scores into AI workflows, ensuring the reliability of LLM outputs. Learn how to detect hallucinations and improve the accuracy of data-driven decisions without extensive debugging. Ideal for AI engineers aiming to overcome the challenges of unreliable generative AI responses in enterprise applications. Main Stage | Gateway Pavilion - Pier 2 | 2 Marina Blvd, San Francisco, CA 94123

About this session

This session will cover how Cleanlab leverages Trustworthy Language Model (TLM) technology to integrate trustworthiness scores into AI workflows, ensuring the reliability of LLM outputs. Learn how to detect hallucinations and improve the accuracy of data-driven decisions without extensive debugging. Ideal for AI engineers aiming to overcome the challenges of unreliable generative AI responses in enterprise applications.

Session Speaker

Curtis Northcutt

Co-Founder & CEO

Cleanlab

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