Protecting scientific truth is not affected by large language models
December 13, 2023 10:34 Source: "China Social Sciences" December 13, 2023 Issue 2793 Author: Wang Junmei/Compilation

  Bet365 app download Recent,An official website of the Internet Research Institute of the School of the School of the Internet in the UK,The emergence of large -scale language models poses a direct threat to science,It should be optimized and supervised for it,Protecting scientific truth。

Studies show,Large language model itself cannot distinguish between facts and fiction。They can give the answer almost for any questions,Bet365 lotto review But the reality is,Error Answers。In recent months,People have a lot of opportunities and risk discussions brought by the large language models and other types of genetic artificial intelligence。Some people think,The emergence of bad information comes from the construction of these models、Adjustment and use method。

In fact,The data used by large language models to answer questions does not always come from accurate facts。Model is training on large text data sets,And these text data sets usually come from online resources,It may contain false statements、viewpoint and creative writing, and other types of non -factual information。In Bet365 app download addition to false information based on training data,Large language models will also produce "hallucinations" information,That is, there is no existence in the training data、Information generated by the model。

Senior Researcher Brent Mittelstadt, a senior researcher at the Institute of Internet Research Institute of Oxford University, said,People who use large language models often take technology to anthropomorphic,They believe that these models are a source of information similar to humans。The result is,Even if the answer of the model has no factual basis,or present prejudice or part of the truth,Users can bet365 Play online games easily believe that the answer is accurate。So,Large language model is very important,If these models are used to write and spread scientific articles,may cause serious harm。In order to protect science and education from the infringement of adverse information dissemination,Researchers think,What kind of contribution to a large language model can set clear expectations。

Researchers suggest,Users should not rely on large language models as the source of related information,should provide appropriate information to the model,and require it。This is a "zero-shot" conversion,using some auxiliary information bet365 best casino games to output the content。In this way,and whether it is consistent with the input content provided by people。This technology will undoubtedly help optimize the scientific work process,At the same time,The review of its content output is also one of the key measures to protect science。

 (Wang Junmei/Compilation)

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