Summary of Openmedlm: Prompt Engineering Can Out-perform Fine-tuning in Medical Question-answering with Open-source Large Language Models, by Jenish Maharjan et al.
OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models
by Jenish Maharjan, Anurag Garikipati, Navan Preet Singh, Leo Cyrus, Mayank Sharma, Madalina Ciobanu, Gina Barnes, Rahul Thapa, Qingqing Mao, Ritankar Das
First submitted to arxiv on: 29 Feb 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Information Retrieval (cs.IR)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The proposed OpenMedLM platform leverages open-source language models (LLMs) for medical applications. This novel approach enables state-of-the-art performance on medical benchmarks without requiring extensive fine-tuning or significant computational resources. By employing a range of prompting strategies, including zero-shot, few-shot, and ensemble methods, the OpenMedLM model surpasses previous best-performing open-source models on three common medical LLM benchmarks. The platform delivers accuracy rates of 72.6% on MedQA and 81.7% on MMLU medical-subset, outperforming previous state-of-the-art results. This breakthrough showcases the potential for accessible LLMs to improve medical knowledge equity. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary OpenMedLM is a new way to use computers to help people understand medical information. It uses special language models that can be fine-tuned for medical tasks without needing expensive equipment or lots of data. By using different ways to ask questions, OpenMedLM can answer medical questions better than before. This means people can get more accurate answers without having to spend a lot on computers or data. The results show OpenMedLM is very good at answering some common medical questions, which could help make medical information more accessible to everyone. |
Keywords
» Artificial intelligence » Few shot » Fine tuning » Prompting » Zero shot
