A developer has created a free Retrieval-Augmented Generation (RAG) API that provides local large language models (LLMs) with access to medical facts from Wikipedia. The API, accessible at hyfl.uk, aims for sub-second response times and uses approximately 2GB of RAM. It has been demonstrated to significantly improve the accuracy of LLMs, preventing hallucinations and providing correct medical information, as shown in an example where an LLM accurately described Lhermitte sign with RAG, contrasting with its previous fabricated response. AI
IMPACT Enhances accuracy and reliability of local LLMs for specialized domains like medicine.
RANK_REASON Developer-created tool release.
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