Running Send It to Fellowship: a LoRA fine-tune, scored on voice and on substance 👓 Compare before‑and‑after fine‑tuned nurse advice texts
Running Make It Say No: three validation layers, measured in both directions 🩺 Answer pharmacy questions with safety checks
Running Linear Regression from Scratch: Gradient Descent vs OLS 📈 Compare gradient descent and OLS linear regression results
Running Build the Paperwork Machine: a ReAct agent, traced step by step 🗂 Answer medical queries using a step‑by‑step reasoning agent
Running Answer the Patient: what a reranker changes, measured 🩺 Answer medical questions using a reranked document search
Running Catch the AI Lying: an audited pass/fail harness for one small free model 🩺 Review AI model answers and see pass/fail results
Running Order the Lab: a tool-calling trace, and what the model said with no tools 🩺 Compare AI drug queries with and without tool lookup
Running Where the Money Goes: healthcare spend concentration and SDOH 📊 View key healthcare spend metrics instantly
Running Anonymous, But How Safe? A k-anonymity risk meter for patient records 🐢 Explore de‑identified patient records and risk
Running What is something someone new to healthcare data might be surprised to learn? 🩺 Generate answers and factor charts for your questions
Running GP versus the Specialist: a measured model-tier scorecard 🩺 Compare AI model performance on clinical questions
Running Speak the Patient's Language: semantic search vs keyword search 🩺 Search clinical sentences using semantic embeddings