Asawa: Decouple User Preferences From Model Weights to Avoid Throwaway Fine-Tuning
Chai Asawa · Inside Abridge: The AI Listening to 100 Million Doctor Visits — Abridge's Janie Lee & Chai Asawa · May 14, 2026 · at 31:04
Chai Asawa of Abridge discusses architectural decisions around handling clinician memory and customization alongside rapidly evolving foundation models.
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“When you think the models are rapidly changing, whether it's in-house or third party, baking into the model weights, sometimes you worry that it could be a little throwaway. And so, like, how do you need to find a way that you decompose the problem, the preferences from the underlying models and so forth.”
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