OpenBioLLM-70B and 8B: Outperforms GPT-4, Gemini, Meditron-70B, Med-PaLM-1 and Med-PaLM-2 in the medical domain

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The developers of this model created a custom and diverse dataset, collaborating with medical experts to ensure the highest quality. The dataset covers over 3,000 healthcare topics and 10+ medical subjects.


The outstanding performance of OpenBioLLM-70B is evident on 9 diverse biomedical datasets, achieving an impressive average of 86.06% despite having fewer parameters than GPT-4 and Med-PaLM.

The responses of the OpenBioLLM 70B model are truly impressive:

๐Ÿ“Œ You can efficiently analyze and summarize complex clinical notes, electronic health record (EHR) data, and discharge summaries, extracting key information.

๐Ÿ“Œ It can perform advanced clinical entity recognition by identifying and extracting key medical concepts, such as diseases, symptoms, medications, procedures, and anatomical structures, from unstructured clinical text.

๐Ÿ“Œ It can provide answers to a wide variety of medical questions.

๐Ÿ“Œ OpenBioLLM can perform various biomedical classification tasks, such as disease prediction, sentiment analysis, and medical document categorization.

๐Ÿ“Œ It can detect and remove personally identifiable information (PII) from medical records, ensuring patient privacy and complying with data protection regulations such as HIPAA.


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