Llama 3 Challenges Proprietary State-of-the-Art Large Language Models in Radiology Board–style Examination Questions
Meta’s Llama 3, an open-source large language model, performed on par with larger proprietary models, such as OpenAI’s GPT-4 and Anthropic’s Claude 3 Opus, on a subset of radiology board-style examination questions, highlighting the potential of open-source artificial intelligence in radiology.
Authors
- Lisa C. Adams (ORCID: https://orcid.org/0000-0001-5836-4542)
- Keno K. Bressem (ORCID: https://orcid.org/0000-0001-9249-8624)
- Daniel Truhn (ORCID: https://orcid.org/0000-0002-9605-0728)
- Felix Busch (ORCID: https://orcid.org/0000-0001-9770-8555)
- Marcus R. Makowski (ORCID: https://orcid.org/0000-0001-8778-647X)
- Jawed Nawabi (ORCID: https://orcid.org/0000-0002-1137-0643)
- Felix J. Dorfner (ORCID: https://orcid.org/0009-0003-5914-3233)
Institutions
- Humboldt-Universität zu Berlin (DE)
Publication Details
- Journal
- Radiology
- Published
- 2024-08-01
- DOI
- https://doi.org/10.1148/radiol.241191
- Citations
- 27
- Primary Topic
- Radiology practices and education
- Type
- article
- Field-Weighted Citation Impact
- 10.92