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OpenMedLM: prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models
Research article (Scientific Reports, 2024) · cited 87× · AI/ML
OpenMedLM: prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models
Summary
OpenMedLM: prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models is a scholarly article[1].
Key Facts
OpenMedLM: prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). OpenMedLM: prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models. Retrieved May 24, 2026, from https://4ort.xyz/entity/openmedlm-prompt-engineering-can-out-perform-fine-tuning-in-medical-question-answering-with-open-source-large-language-m
MLA“OpenMedLM: prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/openmedlm-prompt-engineering-can-out-perform-fine-tuning-in-medical-question-answering-with-open-source-large-language-m.
BibTeX@misc{4ortxyz_openmedlm-prompt-engineering-can-out-perform-fine-tuning-in-medical-question-answering-with-open-source-large-language-m_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{OpenMedLM: prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models}}, year = {2026}, url = {https://4ort.xyz/entity/openmedlm-prompt-engineering-can-out-perform-fine-tuning-in-medical-question-answering-with-open-source-large-language-m}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): OpenMedLM: prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models — https://4ort.xyz/entity/openmedlm-prompt-engineering-can-out-perform-fine-tuning-in-medical-question-answering-with-open-source-large-language-m (retrieved 2026-05-24)
