https://store-images.s-microsoft.com/image/apps.21004.d90cc48e-518c-44b1-9822-6dcd8cefc0bb.be0394b5-407e-4af0-9f23-cb7e724596c7.ef94a5a9-da64-4a11-9f39-3dd5cc90995d
Medical LLM - 14B
John Snow Labs Inc
Medical LLM - 14B
John Snow Labs Inc
Medical LLM - 14B
John Snow Labs Inc
Medical model offering top-tier depth and accuracy in processing complex medical cases and literature, ideal for specialized medical use.
The 14B parameter model represents the pinnacle of our medical language modeling capabilities, offering unparalleled depth in medical knowledge processing and clinical reasoning. This powerful model excels in handling the most complex medical cases, rare conditions, and sophisticated clinical analyses. It demonstrates exceptional accuracy in interpreting complicated medical literature, producing detailed clinical summaries, and providing comprehensive responses to intricate medical queries. While requiring more computational resources, it delivers superior performance in critical medical tasks where accuracy and depth of understanding are paramount. Its advanced RAG optimization enables sophisticated integration with extensive medical databases and research repositories. Choose this model for specialized medical institutions, research facilities, and scenarios where premium performance in complex medical tasks justifies the additional computational investment.
Benchmarking Results:
Achieves 81.42% average, competing with GPT-4 (82.85%)
Outstanding clinical comprehension (92.36%), exceeding Med-PaLM-2's 88.3%
Superior medical reasoning (90%) comparable to top-tier models
Outperforms Meditron-70B despite being 5x smaller
State-of-the-art performance in medical tasks while maintaining deployment efficiency
Recommended Instance for this model is Standard_NC40ads_H100_v5 or Standard_NC24ads_A100_v4
https://store-images.s-microsoft.com/image/apps.58585.d90cc48e-518c-44b1-9822-6dcd8cefc0bb.be0394b5-407e-4af0-9f23-cb7e724596c7.7f0d29f1-19c1-4afc-94e7-7647eacef81d
https://store-images.s-microsoft.com/image/apps.58585.d90cc48e-518c-44b1-9822-6dcd8cefc0bb.be0394b5-407e-4af0-9f23-cb7e724596c7.7f0d29f1-19c1-4afc-94e7-7647eacef81d