The research explores the application of open-source LLMs to provide equitable access to medical knowledge.

• The study introduces OpenMedLM.
• Performance of OS LLMs was evaluated across four medical benchmarks.
• Prompting strategies such as chain-of-thought were utilized.

This signals a positive trend towards leveraging open-source solutions in medical domains where accuracy and accessibility are paramount. Furthermore, it endorses the strategic importance of prompt engineering over extensive computation in refining LLM outputs.