Bridging the Gap Between Clinicians and Language Models in Healthcare: Meet MedAlign, a Clinician-Generated Dataset for Instruction Following Electronic Medical Records

Bridging the Gap Between Clinicians and Language Models in Healthcare: Meet MedAlign, a Clinician-Generated Dataset for Instruction Following Electronic Medical Records
Large Language Models (LLMs) have utilized the capabilities of Natural Language Processing in a great way. From language production and reasoning to …

Author: Tanya Malhotra

* This article was originally published here
Bridging the Gap Between Clinicians and Language Models in Healthcare: Meet MedAlign, a Clinician-Generated Dataset for Instruction Following Electronic Medical Records Bridging the Gap Between Clinicians and Language Models in Healthcare: Meet MedAlign, a Clinician-Generated Dataset for Instruction Following Electronic Medical Records Reviewed by Transaction Banker on September 09, 2023 Rating: 5
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