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Following the release of ChatGPT and similar AI text generative software, many educational establishments have issued policies against the use of AI by students. [3] AI text detection software is also used by those assessing job applicants, as well as online search engines. [4] Current detectors may sometimes be unreliable and have incorrectly ...
Undetectable AI (or Undetectable.ai) is an artificial intelligence content detection and modification software designed to identify and alter artificially generated text, such as that produced by large language models.
Since integrating external code is often harder than writing it from scratch, most plagiarizing students choose to do so from their peers. According to Roy and Cordy, [48] source-code similarity detection algorithms can be classified as based on either Strings – look for exact textual matches of segments, for instance five-word runs.
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The CBOW can be viewed as a ‘fill in the blank’ task, where the word embedding represents the way the word influences the relative probabilities of other words in the context window. Words which are semantically similar should influence these probabilities in similar ways, because semantically similar words should be used in similar contexts.
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Transformer architecture is now used in many generative models that contribute to the ongoing AI boom. In language modelling, ELMo (2018) was a bi-directional LSTM that produces contextualized word embeddings, improving upon the line of research from bag of words and word2vec. It was followed by BERT (2018), an encoder-only Transformer model. [35]
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