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23min chapter
Ep 38: Oscar Co-Founder Mario Schlosser on Lessons from Implementing LLMs and How AI Will Impact Healthcare
Vital Signs with Jacob Effron and Nikhil Krishnan
Adapting Language Models for Different Audiences: Insurance and Clinical Use Cases
The chapter discusses the ability of language models (LMS) to adapt to different levels of sophistication depending on the end user or audience. It explores the use of LMS in understanding insurance bills and claims, as well as in clinical settings where doctors communicate with each other and with patients. The chapter highlights the challenge of transforming the same data into different information for different audiences.
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