首页|University of Georgia Reports Findings in Machine Learning (Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative Study)
University of Georgia Reports Findings in Machine Learning (Differentiating ChatGPT-Generated and Human-Written Medical Texts: Quantitative Study)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – New research on Machine Learning is the subject of a report. According to newsreporting originating in Athens, Georgia, by NewsRx journalists, research stated, “Large language models,such as ChatGPT, are capable of generating grammatically perfect and human-like text content, and alarge number of ChatGPT-generated texts have appeared on the internet. However, medical texts, suchas clinical notes and diagnoses, require rigorous validation, and erroneous medical content generated byChatGPT could potentially lead to disinformation that poses significant harm to health care and the generalpublic.”
AthensGeorgiaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine Learning
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