Beyond the Hype: Building Reliable and Trustworthy AI

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Despite LLMs being increasingly integrated into enterprise workflows and consumers’ everyday lives, their performance and safety standards remain opaque. As more businesses adopt AI tools, standardized evaluation frameworks become more important than ever to ensure LLMs are producing reliable results. Hear from Scale AI’s Summer Yue, HeyGen’s Lavanya Poreddy and Fortune’s Sharon Goldman on pioneering safety standards for AI that reduce hallucinations and deepfakes, including the importance of rigorous model testing and using high-quality data.

Programming descriptions are generated by participants and do not necessarily reflect the opinions of SXSW.

photo of Sharon Goldman
photo of Lavanya Poreddy
photo of Summer Yue

Summer Yue

Scale AI

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