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Including evidence in question confuses ChatGPT, lowers its accuracy: study

Economic TimesEconomic Times · 8m
Including evidence in question confuses ChatGPT, lowers its accuracy: study

According to new research, asking AI-powered chatbots health-related questions that include evidence can confuse them and affect their ability to provide accurate answers. The inclusion of evidence in the question may introduce too much noise and lower the chatbot's accuracy. This poses a potential risk as more people rely on online tools, such as chatbots, for health information. The study compared the accuracy of chatbot responses when prompted with evidence-biased questions versus just a question. The results showed a decrease in accuracy when evidence was included in the prompt. Further research is needed to understand the effectiveness of language models in answering health-related questions.

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