Title |
Fine-tuning a local LLaMA-3 large language model for automated privacy-preserving physician letter generation in radiation oncology / yihao hou, Christoph Bert, Ahmed Gomaa, Godehard Lahmer, Daniel Höfler, Thomas Weissmann, Raphaela Voigt, Philipp Schubert, Charlotte Schmitter, Alina Depardon, Sabine Semrau, Andreas Maier, Rainer Fietkau, Yixing Huang, Florian Putz |
|---|---|
Involved |
yihao hou (Verfasser)
Christoph Bert (Verfasser) Ahmed Gomaa (Verfasser) Godehard Lahmer (Verfasser)
Daniel Höfler (Verfasser)
Thomas Weissmann (Verfasser) Raphaela Voigt (Verfasser) Philipp Schubert (Verfasser) Charlotte Schmitter (Verfasser) Alina Depardon (Verfasser) Sabine Semrau (Verfasser) Andreas Maier (Verfasser) Rainer Fietkau (Verfasser) Yixing Huang (Verfasser) Florian Putz (Verfasser) |
Published |
Erlangen: Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) |
Extent |
Online-Ressource |
Language |
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Country |
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Topic |
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Subject |
radiation oncology
data privacy parameter-efficient fine-tuning LLaMA
fine-tuning
physician letter large language model LLM |
DDC notation |
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Persistent identifier |
urn:nbn:de:101:1-2503210800327.354372189666 (URN) |
Further information |
In: Frontiers in Artificial Intelligence 7. (2025). DOI:10.3389/frai.2024.1493716 |
Record ID |
136079591X |
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