Ray Summit 2024

In-Person Agenda

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Ray in Radiology
Rad AI has been pioneering GenAI applications in healthcare to reduce physician burnout, increase efficiency, and improve patient care since 2018. In that light, we will be presenting on the following topics: (1) an overview of LLMs in the context of healthcare, (2) Rad AI's LLM tailored for radiology and follow-up management workflows, and (3) Rad AI’s Ray-based training infrastructure that provides our researchers with experimental environments and enables our production-grade, multi-node training pipelines. This discussion will make mention of Ray Clusters, Ray Train, Pulumi for infrastructure-as-code (IaC), the Google Kubernetes Engine (GKE), and Kuberay. At the end, you will be left with a survey of GenAI in healthcare alongside some of the specifics behind Rad AI’s Ray-based training infrastructure.

Speakers

  • Tuesday, Oct 14:00 PM - 4:30 PM PDT
    Golden Gate Salon C3

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