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I built Corso Labs: ED Documentation Review Room for the Gemma 4 hackathon.
It uses Gemma 4 31B on @Cerebras to run an 8-agent, multimodal ED documentation QA workflow over a synthetic raster medical-record image.
The demo reads facts from pixels, runs a visible agent chain, returns a clinician-editable physician note review packet, and compares Cerebras speed against a GPU path.
The point: speed changes the product shape.
On slow inference, multi-agent review feels batch-like. On Cerebras, it can feel interactive.
Live app: corso-labs-review-room.vercel.app
Code: github.com/stormyeyez/cor…
Synthetic data only. Not diagnosis, treatment, clinical validation, or production software.
@googlegemma @GoogleDeepMind @cerebras
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