VaxLLM: Leveraging Fine-tuned Large Language Model for automated annotation of Brucella Vaccines.

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    • Abstract:
      The article discusses the use of Large Language Models (LLMs) to automate the classification and annotation of scientific literature on vaccines, focusing on Brucella vaccines. The VaxLLM model demonstrated high performance in classification and annotation accuracy, outperforming traditional methods. The study highlights the potential of VaxLLM in automating knowledge extraction in vaccine research. The data and model are available for further exploration on GitHub and HuggingFace. [Extracted from the article]
    • Abstract:
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