AI Research
Evaluating Fine-Tuned and Base Language Models in Maternal and Vaccination Healthcare for African Settings
Bridging the healthcare information gap through culturally contextualized LLMs in Nigeria.
Background: Large language models (LLMs) can improve healthcare information delivery in low-resource settings but may produce inaccurate or culturally inappropriate advice. This study evaluated domain-specific fine-tuning for maternal health and vaccination in Nigeria. Objective:...
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ArXiv CS.CL
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ArXiv CS.CL
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Fine-tuning language models for localized maternal and vaccination health is critical to ensuring culturally relevant and accurate medical advice in low-resource environments. This approach bridges the gap between generalized global models and the specific linguistic and clinical needs of African healthcare communities.
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