Scaling AI Health Assistants: Challenges and Solutions

Explore the challenges and solutions in scaling AI health assistants in this 28-minute conference talk by Anyscale. Delve into the development of a unique personal health experience using persistent models that incorporate expert systems, machine learning, and content distribution. Learn about the main challenges faced in scaling a stateful ecosystem robustly, including model and state management issues, and maintaining the health and reliability of interconnected components. Discover the solution built on top of Ray, covering overarching principles and design considerations. Gain key takeaways for building and scaling similar products in other contexts. Access the slide deck for visual reference and explore additional resources on Anyscale's AI Application Platform and Ray, the popular open source framework for scaling AI workloads.

Scaling AI Health Assistants: Challenges and Solutions