> A QLoRA-based research prototype for neurology-focused differential diagnosis and clinical reasoning. NeuroQLoRA explores the adaptation of compact open-source language models for neurology-specific clinical reasoning tasks using parameter-efficient fine-tuning. The objective of this work is not to create an autonomous diagnostic system, but to investigate whether small language models can be specialized to generate structured neurological assessments using limited computational resources. Neurological assessment Differential diagnoses Investigation recommendations Clinical reasoning This repository presents a research-oriented proof-of-concept for Healthcare AI and Clinical NLP experimentation. Can compact language models efficiently specialize for neurology-focused reasoning tasks using parameter-efficient fine-tuning under constrained compute settings? QLoRA as a healthcare adaptation strategy The effect of model scale on reasoning performance * Practical training on limited GPU resources The following example was generated using the fine-tuned Qwen2.5-3B model on an unseen neurological emergency case. This repository presents a research prototype intended to advance…
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Автор: DevHabiba
Теги: healthcare-ai,, qlora,, differential-diagnoses, medical-ai, neurological-ai, conversational, en
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Описание основано на материалах HuggingFace. Перевод выполнен автоматически.
