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

Scientists said that as large language models (LLMs) like ChatGPT explode in popularity, there is potential risk to the growing number of people using online tools for key health information. LLMs are trained on massive amounts of textual data and hence are capable of producing content in the natural language.
Bevan Koopman Offering College University Of Queensland Principal Research Scientist Certificate Programme In Data Science Machine Indian School Of Business

Latest News | Including Evidence in Question Confuses ChatGPT, Lowers Its Accuracy, Study Finds

Get latest articles and stories on Latest News at LatestLY. Asking ChatGPT a health-related question that included evidence was seen to confuse the AI-powered bot and affect its ability to produce accurate answers, according to new research. Latest News | Including Evidence in Question Confuses ChatGPT, Lowers Its Accuracy, Study Finds.
New Delhi Bevan Koopman Army Medical Corps University Of Queensland Industrial Research Organisation Principal Research Scientist

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Improving efficiency, reliability of AI medic

<p>Medical summarization, a process that uses artificial intelligence (AI) to condense complex patient information, is currently used in health care settings for tasks such as creating electronic health records and simplifying medical text for insurance claims processing. While the practice is intended to create efficiencies, it can be labor-intensive, according to Penn State researchers, who created a new method to streamline the way AI creates these summaries, efficiently producing more ...
Enan Zhang Yusen Zhang Rui Zhang Prasenjit Mitra Wu Guo College Of Engineering

AI Revolutionizes Source Discovery for Journalists, Enhancing Diversity and Originality

What would news stories be without proper sources? To tell a compelling story, reporters need to find newsworthy narratives and trustworthy information. Such information typically comes from a wide pool of publications, official records and experts,
New York United States Alexander Spangher Emilio Ferrara Jonathan May Viterbi School Of Engineering

GitHub - microsoft/LLMLingua: To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss. - GitHub - microsoft/LLMLingua: To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
Llmlingua Longllmlingua Yuqing Yang Xufang Luo Qianhui Wu Lili Qiu Huiqiang Jiang
Source: github.com

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