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AI content sometimes takes a promotional tone, reading like a tourism website. Other times, the AI gets confused and will write about a hotel instead of a nearby village. Automatic AI detectors like GPTZero are unreliable and should only ever be used with caution. Given the high rate of false positives, deleting or tagging content purely ...
Eliminating errors in the wiki syntax, such as missing close tags or brackets; Checking for accessibility issues, such as small print or heading problems; Correcting, deleting or moving code that does not follow conventions, such as the position of references with respect to punctuation;
Lastly, we need to keep in mind that AI-generated articles (as well as AI capabilities in general) are a moving target, with recent systems getting more reliable at generating Wikipedia-type articles than a simplistic ChatGPT prompt would achieve, see e.g. the previous "Recent research" issue: "Article-writing AI is less 'prone to reasoning ...
In the field of artificial intelligence (AI), a hallucination or artificial hallucination (also called bullshitting, [1] [2] confabulation [3] or delusion [4]) is a response generated by AI that contains false or misleading information presented as fact.
Non-specific tags tend to linger because editors, especially new editors, can't figure out what to fix. If there are concrete, specific problems, try to use a tag that clearly indicates your concern. If no such tag exists, make sure that you leave a comment on the article's talk page or in a <!-- hidden comment --> so that other editors know ...
A reason for the recent attention A.I. integration is attracting is that there have already been created a number of (relatively) simple A.I. systems for specific problem domains (such as computer vision, speech synthesis, etc.), and that integrating what's already available is a more logical approach to broader A.I. than building monolithic ...
Growing fears over liberal bias embedded in artificial intelligence (AI) services such as ChatGPT led TUSK CEO Jeff Bermant to unveil the creation of a new conservative chatbot known as GIPPR in ...
For many years, sequence modelling and generation was done by using plain recurrent neural networks (RNNs). A well-cited early example was the Elman network (1990). In theory, the information from one token can propagate arbitrarily far down the sequence, but in practice the vanishing-gradient problem leaves the model's state at the end of a long sentence without precise, extractable ...