
A novel computational bionic memory mechanism, equipped with a parameter-efficient fine-tuning schema, is proposed to personalize medical assistants and enhance their response quality by catering to user-specific needs.


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llm-based-personalized-medical-assistant-with-dual-process-enhanced-memory-and-parameter-efficient-fine-tuning


LLM-based Personalized Medical Assistant with Dual-Process Enhanced Memory and Parameter-Efficient Fine-Tuning


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Meerkat-7B, a novel 7-billion parameter open-source medical AI system, achieves state-of-the-art performance on medical benchmarks by leveraging chain-of-thought reasoning data synthesized from medical textbooks.


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Meerkat-7B: An Open-Source Medical AI System with Enhanced Reasoning Skills from Textbooks



Generalist OS foundation models can achieve high performance on medical benchmarks through prompt engineering, surpassing specialized fine-tuned models.


openmedlm-prompt-engineering-for-medical-question-answering


OpenMedLM: Prompt Engineering for Medical Question-Answering
