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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
Published on: December 6, 2024
Karl-Friedrich Kowalewski1, Severin Rodler2
1Klinik für Urologie und Urochirurgie, Universitätsmedizin Mannheim, Universität Heidelberg, 68167, Theodor-Kutzer-Ufer 1-3, Deutschland. karl-friedrich.kowalewski@umm.de.
Large language models (LLMs) show promise for science and urology, aiding tasks like patient information and administration. However, ethical concerns and accuracy issues require careful consideration for reliable use.
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