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Grounding Medical Q&A using ChatGPT plugins and Knowledge Graphs

Grounding Medical Q&A using ChatGPT plugins and knowledge graphs creates a powerful tool that can assist healthcare professionals access, interact with, and utilize the latest medical information. In this on-demand demonstration, GenomOncology’s Chief Technology Officer, Ian Maurer, discusses the use of ChatGPT plugins and Knowledge Graphs to ground medical Q&A and reduce hallucinations in large language models (LLM). In this video, learn more about how: Medical Q&A is a dataset used to test the performance of models answering medical questions. LLMs are prone to hallucinations due to a limited understanding, data limitations, and no real-time interaction capability. Grounding strategies include pre-training and fine-tuning, prompt engineering, and similarity search to provide more context and improve the model’s performance. Knowledge graphs can augment LLM’s performance by providing access to databases of specialized fields like genomics. Interested in learning more? Visit genomoncology.com today. #chatgpt #ai #artificialintelligence #healthcareai #precisionmedicine