Speaker: Clara Matos
Director of Applied AI @Sword Health, Focused on Building and Scaling Machine Learning Systems
Clara enjoys working in the intersection of Machine Learning, Product, and Engineering, solving problems in a pragmatic and iterative way. She currently leads Applied AI at Sword Health, where her team is reinventing how patients access and receive care, by creating a more human, more clinically effective, and more scalable way to treat patients. She is focused on building and scaling machine learning systems that help achieve Sword's mission of freeing 2 million people from pain.
Find Clara Matos at:
Session
Beyond Benchmarks: How Evaluations Ensure Safety at Scale in LLM Applications
As LLM systems move from prototypes to production, the gap between benchmark performance and real-world reliability becomes impossible to ignore. Models that score well on benchmarks can still fail unpredictably when facing the complexity, ambiguity, and edge cases of real users.
Date
Wednesday Mar 18 / 11:45AM GMT ( 50 minutes )
Location
Fleming (3rd Fl.)
Slides
Slides are not available
