This newspaper comprehensively reports bet365 bonus code louisiana foreign media Recently，The official website of the University of Oxford in the UK published a research result from the school’s Internet Research Institute，The emergence of large-scale language bet365 bonus code louisiana poses a direct threat to science，It should be optimized and regulated，Protect scientific truth。

Research shows，Large language bet365 bonus code louisiana by themselves cannot differentiate between fact and fiction。They have an answer to almost any question，But the reality is，Wrong answers are common。Recent months，There is a lot of talk about the opportunities and risks presented by large language bet365 bonus code louisiana and other types of generative AI。Some people think，The emergence of bad information results from the construction of these bet365 bonus code louisiana、Adjustment and usage。

In fact，The data used by large language bet365 bonus code louisiana to answer questions does not always come from accurate factual sources。The model is trained on a large text dataset，And these text datasets usually come from online sources，It may contain false statements、Opinion and creative writing and other types of non-factual information。Except for false information based on training data，Large language bet365 bonus code louisiana can also produce “hallucinated” information，That is, it does not exist in the training data、Information spontaneously generated by the model。

Brent Mittelstadt, senior fellow at the Internet Institute at the University of Oxford said，People working with large language bet365 bonus code louisiana often personify the technology，They believe these bet365 bonus code louisiana are a human-like source of information。The result is，Even if the model’s answer has no basis in fact，Or it presents bias or partial truth，It is also easy for users to believe that the answer is accurate。Therefore，It is important to use large language bet365 bonus code louisiana responsibly，If these bet365 bonus code louisiana are used to write and disseminate scientific articles，May cause serious harm。To protect science and education from the dissemination of harmful information，Researchers think，Clear expectations should be set about what large language bet365 bonus code louisiana can contribute responsibly。

Researcher suggestion，Users should not rely on large language bet365 bonus code louisiana as a source of relevant information，Instead, the model should be provided with appropriate information，And ask it to convert its original output into the desired output。This is a "zero-shot" transformation，That is, using some auxiliary information to output content。Using large language bet365 bonus code louisiana in this way makes it easier to check that the output is correct，And if it matches the input people provided。This technology will undoubtedly help optimize scientific workflow，At the same time，Censorship of its content output is also one of the key measures to protect science。

　(Wang Junmei/Compiled)