Part 10/12:
Despite the existence of high-end general models like GPT-4 trained on vast datasets, the speaker justifies using tailored, fine-tuned models. Generic LLMs may lack nuanced understanding of complex medical contexts and potentially provide less accurate advice. Fine-tuning with authentic, peer-reviewed medical data grants the system specificity, relevance, and safety critical for healthcare applications.
Conclusions and Broader Impacts
This AI solution exemplifies how advanced language models, when combined with reliable biomedical data and intelligent retrieval systems, can enhance healthcare delivery—making expert advice more accessible and reducing the burden on overstretched medical practitioners.