Private & Powerful: Parsing Sensitive Medical Records Locally with WebLLM and WebGPU

Handling sensitive data like Electronic Health Records (EHR) is a nightmare for privacy compliance. Whether it's HIPAA in the US or GDPR in Europe, sending a patient's medical history to a cloud-based LLM often triggers a cascade of security audits and potential liabilities. But what if the data never left the user's computer? In this tutorial, we are diving deep into Edge AI and Privacy-preserving AI by building a local EHR parser. Using WebLLM , WebGPU acceleration , and React , we will transf