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The article discusses the challenges of verifying the accuracy of medical references generated by large language models (LLMs) like GPT-4 in the medical field. The study found that up to 30% of statements made by GPT-4 were unsupported. Comments on the post highlight concerns about the implementation of the RAG system, the potential for misinformation and hypochondria fueled by ChatGPT, and the differences between GPT-3 and GPT-4. Some users express skepticism about the reliability of ChatGPT compared to traditional web searches and medical professionals.
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https://hai.stanford.edu/news/generating-medical-errors-genai-and-erroneous-medical-references
#AI #GPT #OpenAI #AI
Тэги:
#AI #GPT #OpenAI