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"Grounding Medical Q&A Using ChatGPT Plugins and Knowledge Graphs"

In this on-demand demonstration, GenomOncology’s chief technology officer discusses the use of ChatGPT plugins and knowledge graphs to ground Medical Q&A, or MedQA -- a dataset used to test the performance of models answering medical questions -- and reduce hallucinations in large language models.

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.

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