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Multiple AI detection tools have been demonstrated to be unreliable in terms of accurately and comprehensively detecting AI-generated text. In a study conducted by Weber-Wulff et al., and published in 2023, researchers evaluated 14 detection tools including Turnitin and GPT Zero, and found that "all scored below 80% of accuracy and only 5 over 70%."
GPTZero uses qualities it terms perplexity and burstiness to attempt determining if a passage was written by a AI. [14] According to the company, perplexity is how random the text in the sentence is, and whether the way the sentence is constructed is unusual or "surprising" for the application.
Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.
Out of the 29 questions Chat GPT did not have an answer for, 10 included completely incorrect information, 11 did not directly address the question, and 12 gave incomplete answers.
In this trial, GPT-4-Turbo got 79% of the 150 questions right, for a total of 118 correct answers, and 26 wrong answers—more than it did without the “long context.” It only failed to respond ...
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"We participated in the 12th BioASQ challenge, which is a retrieval augmented generation (RAG) setting, and explored the performance of current GPT models Claude 3 Opus, GPT-3.5-turbo and Mixtral 8x7b with in-context learning (zero-shot, few-shot) and QLoRa fine-tuning. We also explored how additional relevant knowledge from Wikipedia added to ...
Fin 2 has been able to achieve an average resolution rate of 51% with an answer accuracy of 99.9% among its thousands of Intercom users by switching its AI engine to Claude.