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gptzero.me [1][2] GPTZero is an artificial intelligence detection software developed to identify artificially generated text, such as those produced by large language models. [3][4][5][6] While GPTZero has received positive coverage for its efforts to prevent academic dishonesty, many news outlets criticized the tool's false positive rate ...
Artificial intelligence detection software aims to determine whether some content (text, image, video or audio) was generated using artificial intelligence (AI). However, the reliability of such software is a topic of debate, [1] and there are concerns about the potential misapplication of AI detection software by educators.
Python. Platform. Cloud computing. Website. www.undetectable.ai. 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. [1][2][3]
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. [5][6][7] This term draws a loose analogy with human psychology, where hallucination typically ...
ChatGPT is a language model -based chatbot developed by OpenAI and launched on November 30, 2022. It can generate human-like conversational responses and enables users to refine and steer a conversation towards a desired length, format, style, level of detail, and language. [2] Successive user prompts and replies are considered at each ...
e. Generative Pre-trained Transformer 2 (GPT-2) is a large language model by OpenAI and the second in their foundational series of GPT models. GPT-2 was pre-trained on a dataset of 8 million web pages. [2] It was partially released in February 2019, followed by full release of the 1.5-billion-parameter model on November 5, 2019. [3][4][5]
Zero-shot learning. Zero-shot learning (ZSL) is a problem setup in deep learning where, at test time, a learner observes samples from classes which were not observed during training, and needs to predict the class that they belong to. The name is a play on words based on the earlier concept of one-shot learning, in which classification can be ...
GPT-3 is capable of performing zero-shot and few-shot learning (including one-shot). [1] In June 2022, Almira Osmanovic Thunström wrote that GPT-3 was the primary author on an article on itself, that they had submitted it for publication, [24] and that it had been pre-published while waiting for completion of its review. [25]
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